Toxicology of flavoring- and cannabis-containing e-liquids used
in electronic delivery systems
Aleksandr B. Stefaniak
a,*
, Ryan F. LeBouf
a
, Anand C. Ranpara
a
, Stephen S. Leonard
b
a
Respiratory Health Division, National Institute for Occupational Safety and Health, 1095
Willowdale Road, Morgantown, WV 26505, USA
b
Health Effects Laboratory Division, National Institute for Occupational Safety and Health, 1095
Willowdale Road, Morgantown, WV 26505, USA
Abstract
Electronic cigarettes (e-cigarettes) were introduced in the United States in 2007 and by 2014 they
were the most popular tobacco product amongst youth and had overtaken use of regular tobacco
cigarettes. E-cigarettes are used to aerosolize a liquid (e-liquid) that the user inhales. Flavorings in
e-liquids is a primary reason for youth to initiate use of e-cigarettes. Evidence is growing in the
scientific literature that inhalation of some flavorings is not without risk of harm. In this review, 67
original articles (primarily cellular
in vitro
) on the toxicity of flavored e-liquids were identified in
the PubMed and Scopus databases and evaluated critically. At least 65 individual flavoring
ingredients in e-liquids or aerosols from e-cigarettes induced toxicity in the respiratory tract,
cardiovascular and circulatory systems, skeletal system, and skin. Cinnamaldehyde was most
frequently reported to be cytotoxic, followed by vanillin, menthol, ethyl maltol, ethyl vanillin,
benzaldehyde and linalool. Additionally, modern e-cigarettes can be modified to aerosolize
cannabis as dried plant material or a concentrated extract. The U.S. experienced an outbreak of
lung injuries, termed e-cigarette, or vaping, product use-associated lung injury (EVALI) that began
in 2019; among 2,022 hospitalized patients who had data on substance use (as of January 14,
2020), 82% reported using a delta-9-tetrahydrocannabinol (main psychoactive component in
cannabis) containing e-cigarette, or vaping, product. Our literature search identified 33 articles
related to EVALI. Vitamin E acetate, a diluent and thickening agent in cannabis-based products,
was strongly linked to the EVALI outbreak in epidemiologic and laboratory studies; however, e-
liquid chemistry is highly complex, and more than one mechanism of lung injury, ingredient, or
thermal breakdown product may be responsible for toxicity. More research is needed, particularly
with regard to e-cigarettes (generation, power settings, etc.), e-liquids (composition, bulk or vaped
form), modeled systems (cell type, culture type, and dosimetry metrics), biological monitoring,
*
Corresponding author at: 1095 Willowdale Road, Morgantown, WV, USA, [email protected] (A.B. Stefaniak).
Declaration
The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the
National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention. Mention of any company or
product does not constitute endorsement by the U.S. Government, National Institute for Occupational Safety and Health, or Centers
for Disease Control and Prevention.
Conflict of Interest
The authors declare that there are no conflicts of interest.
HHS Public Access
Author manuscript
Pharmacol Ther
. Author manuscript; available in PMC 2022 August 01.
Published in final edited form as:
Pharmacol Ther
. 2021 August ; 224: 107838. doi:10.1016/j.pharmthera.2021.107838.
Author Manuscript Author Manuscript Author Manuscript Author Manuscript
secondhand exposures and contact with residues that contain nicotine and flavorings, and causative
agents and mechanisms of EVALI toxicity.
Keywords
e-cigarettes; Vaporizers; Flavorings; e-liquids; Delta-9-tetrahydrocannabinol (Δ
9
-THC); Toxicity
1. Summary
Electronic nicotine delivery systems such as electronic cigarettes (e-cigarettes) are used to
heat an e-liquid composed of humectants and sometimes flavorings and nicotine. The heated
e-liquids forms an aerosol (mixture of liquid droplets and gas phase substances) that is
inhaled by the user. Some e-cigarette users inhale this aerosol to mimic tobacco smoking
without tobacco combustion. Electronic devices intended for cannabis such as personal
vaporizers are used to heat the dried plant material or its extracts to deliver aerosolized
cannabinoids in a form that can be inhaled without combustion. Additionally, special
interchangeable coil head adapters have enabled the use of e-cigarettes to aerosolize
cannabis as dried plant material or a concentrated extract, either by itself or dissolved in an
e-liquid. Since the introduction of e-cigarettes in the United States in 2007, these devices
rapidly gained popularity, especially amongst U.S. youth, and by 2014, were the most
popular tobacco product for this demographic, overtaking use of regular tobacco cigarettes.
The rise in popularity of e-cigarettes has raised important public health questions, including:
1) given the attraction of flavorings on e-cigarette use, what is our understanding of the
toxicity of flavored e-liquids?, and 2) given the ease in which e-cigarettes can be used to
aerosolize substances, what is our understanding of the toxicity of substances underlying the
outbreak of lung injury related to consumption of cannabis and nicotine products that
occurred predominantly in the United States termed e-cigarette, or vaping, product use-
associated lung injury (EVALI)? With regard to the first question, many flavorings used in e-
liquids fall under the “generally recognized as safe” (GRAS) provision in the Federal Food,
Drug, and Cosmetic Act of the U.S. Food and Drug Administration; however, their GRAS
status applies only to use in ingested foods, not for exposure via the inhalation pathway. In
surveillance studies, flavorings were cited by youth as a primary reason for use of e-
cigarettes. As such, there is growing concern about toxicity from inhalation of aerosolized
flavorings in e-liquids and whether e-cigarettes pose a risk for dependence or addiction to
nicotine for a new generation of youth. To better understand the state of knowledge on the
toxicity of flavored e-liquids, we reviewed literature in the PubMed and Scopus databases
and identified 67 original articles that evaluated toxicity of flavored e-liquids using cellular
in vitro
, rodent
in vivo
, and human models. Whether as bulk liquid or aerosol from an e-
cigarette, some flavored e-liquids induced toxicity in the respiratory tract (cytotoxicity,
generation of reactive oxygen species, and impairment of clearance mechanisms),
cardiovascular and circulatory systems (impaired nitric oxide (NO) signaling and other
effects related to endothelial dysfunction), skeletal system (altered gene expression in
osteoblasts, toxicity in the oral cavity), and skin (cytotoxicity). In general, embryonic cells
were more sensitive to flavored e-liquids compared with adult cells, which indicated a
possible indirect pathway for developmental effects. Additionally, some flavorings in e-
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liquids were immune sensitizers, irritants, or genotoxic. At least 65 individual flavoring
ingredients in flavored e-liquids were observed to contribute to reported toxic effects.
Cinnamaldehyde was most frequently reported to be cytotoxic, followed by vanillin,
menthol, ethyl maltol, ethyl vanillin, benzaldehyde and linalool. With regards to our second
question, among EVALI patients, 82% reported using a delta-9-tetrahydrocannabinol (Δ
9
-
THC, the main psychoactive component in cannabis) containing e-cigarette, or vaping,
product, 33% reported only using a Δ
9
-THC-containing product, 57% reported using any
nicotine-containing product, and 14% used only a nicotine-containing product. Our literature
search identified 33 articles of interest related to EVALI. Five of the 33 articles of interest on
EVALI contained information on
in vitro
or
in vivo
pulmonary toxicity. Vitamin E acetate
(VEA), a diluent and thickening agent in cannabis-based products, is strongly linked to the
EVALI outbreak in epidemiologic and laboratory studies, and VEA has been found to
produce a similar syndrome in mice. However, e-liquid chemistry is highly complex, and
more than one mechanism of lung injury, ingredient, or thermal breakdown product may be
responsible for toxicity. From our review, a total of 13 research gaps and opportunities were
identified related to considerations for e-cigarettes (generation, power settings, etc.), e-
liquids (composition, bulk or vaped form), modeled systems (cell type, culture type, and
dosimetry metrics), biological monitoring, secondhand exposures and contact with residues
that contain nicotine and flavorings, and causative agents and mechanisms of EVALI
toxicity.
2. Introduction
Electronic delivery systems are devices that heat a liquid solution (e-liquid) or dry material
to volatilize its constituents, which are inhaled by the user in the form of an aerosol. Devices
intended for nicotine delivery are referred to as electronic nicotine delivery systems (ENDS)
and include electronic cigarettes (e-cigarettes or e-cigs), e-cigars, e-pipes, and e-hookahs.
Early versions of e-cigarettes were intended to mimic the tobacco smoking experience but
without tobacco combustion (Grana, Benowitz, & Glantz, 2014); newer generations of e-
cigarettes no longer mimic the smoking experience (e.g., the size, shape, and design does not
mimic regular tobacco cigarettes). The e-liquid for e-cigarettes contains humectants and
usually nicotine and flavorings. When heated in an e-cigarette, the e-liquid is volatilized and
forms a mixture of liquid droplets and gas-phase compounds in air. Though technically an
aerosol, the mixture that is inhaled by the user is colloquially referred to as “vapor” and the
experience is termed “vaping.” In 2016, the U.S. Food and Drug Administration (FDA),
under authority of the Family Smoking Prevention and Tobacco Control Act, began to
regulate e-cigarettes as tobacco products, which includes the use of flavors in products.
Many flavorings used in e-liquids for e-cigarettes fall under the “generally recognized as
safe” (GRAS) provision in the Federal Food, Drug, and Cosmetic Act under the jurisdiction
of the FDA. Under FDA regulation, any substance that will be added to food is subject to
premarket approval, unless it is generally recognized, by scientific experts, as safe under the
conditions of its intended use. FDA determines the safety of the substance if it is subject to
premarket approval whereas qualified experts outside of government can submit a GRAS
notification to the FDA for their approval. The Flavor and Extract Manufacturers
Association of the United States maintains a program of expert reviewers for GRAS status
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of flavorings to be used in foods (as defined in Section 201(f) of the Act). Flavor and Extract
Manufacturers Association nominations of flavorings for GRAS status only assesses safety
for exposure through ingestion. Approval of their nominations by FDA does not provide
regulatory authority for the use of a flavoring in e-liquids where exposure is via inhalation
from vaping. The use of flavorings with GRAS status in e-liquids has raised concern by
public health experts and the Flavor and Extract Manufacturers Association alike of possible
toxicity (FEMA, 2020). Herein, when discussing e-liquids, the terms “flavor” or “flavored”
refer to a taste sensation (e.g., fruity) of an e-liquid and the term “flavoring” refers to the
specific chemical that imparts a taste (e.g.,
α
-ionone is a flavoring for raspberry). When
discussing flavored e-liquids, general flavor categories are in lowercase (e.g., fruity) whereas
names of commercial products are capitalized (e.g., Mango).
“Vaporizers” are devices used for drug delivery via inhalation (Giroud et al., 2015; Meier &
Hatsukami, 2016; Varlet et al., 2016). Cannabis plant is typically referred to as “marijuana”
when the plant contains more than 0.3% (by dry weight) of delta-9-tetrahydrocannabinol
9
-THC), the main psychoactive cannabinoid, and it is referred to as “hemp” when the
plant contains less 0.3% of Δ
9
-THC. Though hemp has lower Δ
9
-THC content, it will often
have a higher concentration of cannabidiol (CBD). Vaporizers include table top devices to
heat dried cannabis without combustion at moderate temperatures to create an aerosol that is
inhaled and or portable, pocket pen-vaporizers to heat its wax and oil extracts at higher
temperatures to deliver aerosolized cannabinoids in a form that can be inhaled (Giroud et al.,
2015; Varlet et al., 2016). In addition to electronic products specifically designed for
cannabis, other devices, including e-cigarettes that are designed to deliver nicotine, can be
modified to deliver various substances. For example, e-cigarettes can be used after-market to
inhale alcohol, cannabis, amphetamines, cocaine, and heroin (Breitbarth, Morgan, & Jones,
2018; Giroud et al., 2015; MacLean, Valentine, Jatlow, & Sofuoglu, 2017; Meier &
Hatsukami, 2016). For cannabis extracts, the e-liquid contains the drug, thickening agents,
diluents/thinning agents, and may be flavored based on user preference or to mask the odor
of cannabis and make it less detectable (Blount et al., 2020; Giroud et al., 2015). In 2017, He
et al. first reported a case of acute respiratory failure in a person that inhaled aerosolized
cannabis oil (He, Oks, Esposito, Steinberg, & Makaryus, 2017). In late 2019, Schier et al.
first reported an outbreak of lung injuries in the United States later termed e-cigarette, or
vaping, product use-associated lung injury (EVALI) among persons that reported using an e-
cigarette or vaping product to inhale Δ
9
-THC, only using a Δ
9
-THC-containing product,
using any nicotine-containing product, or only using a nicotine-containing product, which
renewed concerns of toxicity from drug use by electronic delivery systems (Schier et al.,
2019).
This targeted review is intended to provide students, public health departments, regulators,
educators, researchers, and clinicians with: 1) background on the design and basic
functioning of electronic delivery systems, 2) an understanding of the composition of e-
liquids that contain flavorings or drugs, 3) a perspective on trends in usage of electronic
delivery systems for nicotine and drug delivery, 4) a focused review of current knowledge on
flavorings- and cannabis-induced toxicity related to their use in e-liquids and electronic
delivery systems, and 5) a summary of knowledge gaps and research opportunities.
Previously, Kaur et al. reviewed the literature on flavorings-related toxicity specific to lung
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cells and discussed potential biomarkers (Kaur, Muthumalage, & Rahman, 2018). The
current review article extends the work of Kaur et al. to include more recent literature on
lung toxicity and provides a general overview of all organs and systems currently known to
be impacted by flavored e-liquids. For a review of the clinical aspects of EVALI, see Cherian
et al. (Cherian, Kumar, & Estrada, 2020).
3. What are electronic delivery systems?
Electronic delivery systems are devices used to heat a substance to generate an aerosol that
is inhaled by the user. Substances can include an e-liquid that that may contain flavorings
and nicotine, Δ
9
-THC, or CBD or the device can heat dried cannabis plant material or its
concentrated wax and oil extracts. Among electronic delivery systems, e-cigarettes are
relatively new devices that are intended to aerosolize e-liquids that contain nicotine, but they
are also used to aerosolize e-liquids that contain cannabis extracts. In contrast, vaporizers for
cannabis plant material or its extracts are available in states with a legal retail market and
have preceded e-cigarettes (Varlet, 2016).
3.1. E-cigarettes for nicotine delivery
Since their introduction in the early 2000s (and appearance in the U.S. marketplace in 2007),
the internal design and external appearance of e-cigarettes for nicotine delivery has evolved
continuously, with each subsequent change referred to as a “generation” (Bhatnagar et al.,
2014; Schmidt, 2020; Schraufnagel et al., 2014). All e-cigarettes have four basic
components: 1) a battery (rechargeable or non-rechargeable) used to heat a coil, 2) a
cartridge to store the e-liquid, 3) an atomizer (i.e., heating coil that converts e-liquid to
aerosol) chamber, and 4) a mouthpiece through which the user inhales (Breitbarth et al.,
2018; Giroud et al., 2015). Figure 1 shows schematics depicting four generations of e-
cigarette designs.
First generation e-cigarettes
were intended to mimic the appearance (both in size
and shape) of regular tobacco cigarettes and therefore have been referred to as
“cigalikes” (Schmidt, 2020). First generation e-cigarettes came pre-assembled in
various nicotine concentrations with and without flavorings. Upon inhalation
through the mouthpiece, the battery would be activated to heat the e-liquid and a
light would illuminate at the tip to simulate burning tobacco. These devices were
discarded after the e-liquid was consumed.
Second generation e-cigarettes
were typically larger than regular tobacco
cigarettes, had medium-sized rechargeable batteries, evolved to contain a
powerful atomizer to deliver greater energy that enhanced nicotine delivery, and
large refillable cartridges for e-liquids (Schmidt, 2020). Variations of atomizers
in second (and third) generation e-cigarettes included “cartomizers,” which were
similar in design to atomizers but utilized a synthetic filler material that was
wrapped around the heating coil to absorb e-liquid, and “clearomizers”
composed of a clear tank but no filler material. Some second and future
generation e-cigarettes had a manual switch that allowed the user to modulate
puff length and frequency (referred to as topography) and therefore have been
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referred to as “personal vaporizers” (Protano et al., 2018). Other designs allowed
the user to automatically puff by inhaling through the e-cigarette mouthpiece
without the need to depress a switch and had adjustable voltages.
Third generation e-cigarettes
had high capacity batteries and were designed to
give the user more options to modify the applied voltage and resistance of the
coil, which varied the coil temperature, and in turn, affected the characteristics of
aerosol produced according to a user’s preferences. The sub-ohm level lower
resistance coil contained in third generation devices is reported to be powerful
enough to emit higher concentration of aerosols compared to earlier generation
e-cig devices (Protano et al., 2018). Compared to their predecessors, third
generation devices were more modifiable in external design to attach larger tanks
that permitted even higher volume e-liquid storage and in functional capacity that
allowed the user to customize vaping experiences (Schmidt, 2020). These models
may also be referred to as “tank-style” e-cigarettes (Bhatnagar et al., 2014) or
“juice monsters” (Talih et al., 2017).
Fourth generation e-cigarettes
or “pod mods” feature a replaceable pre-filled or
refillable cartridge that contains e-liquid referred to as a “pod” in combination
with a modifiable (“mod”) system. One example of a replaceable pod e-cigarette
is JUUL® brand devices, which operate at 3.7 V, the heating coil has resistance
of 1.6 Ohm, and the maximum power is 8.1 W (Talih et al., 2019). An example
of a refillable pod e-cigarette is Suorin brand devices, such as their Air series and
Drop models. Among the major differences of pod mods in comparison with
earlier generation e-cigarettes were their e-liquid formulation that contains
nicotine in salt form (discussed below), coil electronics, and their external
appearance. Pod mods come in many different shapes and colors but are typified
by the JUUL® brand design that resembles a computer USB memory stick
(Ramamurthi, Chau, & Jackler, 2019). Many pod mods are designed to have
similar appearance to everyday items and the e-liquids are formulated to produce
little odor or visible cloud when used (see Section 4.1), which enables “stealth
vaping” among adolescents, whereby they are not detected by family members,
teachers, etc. (Fadus, Smith, & Squeglia, 2019; Huang et al., 2019; Leavens et
al., 2019; Mallock et al., 2020; Ramamurthi et al., 2019).
Finally, it is worth mentioning that some users of later generation e-cigarette engage in a
practice known as “dripping” in which the e-liquid is applied directly on the atomizer rather
than utilizing the cartridge with filler that is normally wrapped around the heating coil.
3.2. Vaporizers and e-cigarettes for cannabis delivery
Electronic delivery systems for cannabis include vaporizers (see Fig. 1) and e-cigarettes.
Vaporizers are tabletop or personal portable devices used to heat dried cannabis plant
material to about 200 °C without combustion to volatilize the active ingredients (Breitbarth
et al., 2018). Vaporizers are one means for “dabbing”, the practice by which a small amount
of concentrated Δ
9
-THC extract in the form of thick waxes or oils (e.g., butane hashish oil
[BHO]) is heated and the user inhales the aerosol. BHO is a viscous, sticky, wax-like
concentrate that may have up to 30 times the Δ
9
-THC concentration of dried cannabis plant
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material (Breitbarth et al., 2018;Varlet, 2016; Varlet et al., 2016). Ramamurthi et al.
provided an insightful review of stealth vaping of cannabis using portable electronic devices
and pointed to the commercial availability of products designed to hide the device by taking
on the appearance of common items such as an ink pen, travel coffee mug, electronic car key
fob, small electronics such as a remote control or an iPod®, a small mobile phone, a candy
dispenser (vaporizer placed inside a package of Tic Tac® breath mints), and integrated into
clothing such as hooded sweatshirts and backpacks (Ramamurthi et al., 2019).
Changes in atomizers for second and third generation e-cigarettes, the ability to modulate
applied power and coil temperature, and special interchangeable coil head adapters have
enabled the use of e-cigarettes to vape cannabis as dried plant material or a concentrated
extract, either by itself or dissolved in an e-liquid (Breitbarth et al., 2018; Giroud et al.,
2015). The practice of vaping cannabis compounds dissolved in an e-liquid was dubbed
“cannavaping” by one research group (Varlet, 2016; Varlet et al., 2016). In addition to
natural Δ
9
-THC or CBD, synthetic cannabinoids dissolved in an e-liquid or sprayed onto
aromatic herbs, can be aerosolized using an e-cigarette fitted with a special coil head adapter
(Breitbarth et al., 2018; Giroud et al., 2015).
4. What is an e-liquid?
E-liquids are solutions that contain humectants and usually nicotine and flavorings. E-liquids
for cannabis delivery contain diluents/thickeners, cannabis extracts, and sometimes
flavorings.
4.1. E-liquids for nicotine delivery
The basic constituents of an e-liquid for an e-cigarette are humectants, which are
hygroscopic substances that help retain moisture (primarily propylene glycol [PG] and/or
vegetable glycerin [VG]), water, ethanol, and usually nicotine and flavorings. The
proportions of PG and VG in an e-liquid may be tailored to the user’s personal experiences
and preferences. For example, PG has a lower density than VG, and when used at a higher
proportion in an e-liquid, it contributes to an experience referred to as “throat hit”, which is a
sensation produced at the back of a user’s throat upon inhalation of nicotine that may range
from pleasant to harsh (Smith, Heckman, Wahlquist, Cummings, and Carpenter, 2020). VG
is used at a higher proportion than PG if a user seeks a denser exhaled cloud and is popular
among “power vapers” or “cloud chasers” who perform tricks such as creation of exhaled
shapes (Schmidt, 2020).
E-liquids contain nicotine in free-base (basic pH ~8 to 10) or salt (acidic pH) form (El-
Hellani et al., 2015). The form of nicotine in an e-liquid and resultant aerosol influences its
bioavailability, which has varied with e-cigarette generation. E-liquids used in many third-
generation and prior e-cigarettes contained 18 to 95% of their total nicotine in free-base
form, which tended to have a more harsh throat hit (El-Hellani et al., 2015). The free-base
form of nicotine differs from the acidic salt form used in fourth generation e-cigarettes
(discussed below). Use of nicotine in a salt form has permitted manufacturers to increase the
nicotine concentration of e-liquids used in e-cigarettes (Romberg et al., 2019). It has been
reported that once an e-liquid refill container is opened, nicotyrine is formed via oxidization
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and the ratio of nicotyrine to nicotine in the e-liquid and aerosol generated by an e-cigarette
increased over time. Nicotyrine is potentially toxic but also inhibits the
in vivo
metabolism
of nicotine, hence, it is hypothesized to be a potentially useful smoking cessation aid
(Martinez, Dhawan, Sumner, & Williams, 2015).
Trace levels of ethanol and water are added to e-liquids to enhance the experience for a
variety of flavorings that are a major selling point of all ENDS (Berg, 2016). The presence
of flavorings may add to the addictive effects of e-cigarettes (Soule, Lopez, Guy, & Cobb,
2016). For example, both vanillin and ethylvanillin have been shown to be monoamine
oxidase inhibitors, which are substances present in tobacco smoke that enhance smokers’
addiction to nicotine by delaying the catalytic degradation of neurotransmitters by
monoamine oxidase enzymes (Truman, Stanfill, Heydari, Silver, & Fowles, 2019). The exact
number of flavored e-liquids currently available is unknown. In 2014, it was reported that
there were 7,764 different flavored e-liquids available for use in first-and second-generation
e-cigarettes (Zhu et al., 2014). Five years later there were over 19,000 commercial e-liquids
on the market. Of these, 16,300 e-liquids could be classified into a flavor category; the most
prominent flavors were fruit (34%), tobacco (16%), and dessert (10%) (Havermans et al.,
2021). At least 210 different flavorings chemicals were used to create these flavored e-
liquids and the mean number of flavorings per e-liquid was 10 (Krusemann et al., 2021).
Table 1 is a list of 65 flavoring chemicals present in flavored e-liquids that have been
reported to induce
in vitro
or
in vivo
toxicity in at least one study. These 65 flavorings were
a subset of all flavorings that were tested in the studies listed in Table 1; some flavorings did
not induce toxicity in some of the reviewed studies.
E-liquids for pod mods contain humectants, water, and usually flavorings but differ from e-
liquids used in previous generation e-cigarettes in two important ways that maximize
nicotine uptake to blood: 1) they contain an acid additive, and 2) nicotine in this matrix is in
the form of a protonated salt (Gotts, 2019; Harvanko, Havel, Jacob, & Benowitz, 2020;
Jackler & Ramamurthi, 2019; Ramamurthi et al., 2019; Talih et al., 2019). A regular tobacco
cigarette contains approximately 1.5–2% nicotine which is equivalent to 1.5–2 mg
nicotine/mL by volume. JUUL® brand is the most popular pod mod style device in the
United States and in 2017, accounted for nearly 40% of all e-cigarette sales and over 70% of
retail (excluding vape shop and internet sales) e-cigarette sales (Huang et al., 2019;
Ramamurthi et al., 2019). JUUL® brand pods contain up to 5% nicotine by weight, which is
equivalent to 5.9% by volume or 59 mg nicotine/mL (Jackler & Ramamurthi, 2019;
Ramamurthi et al., 2019). According to Jackler and Ramamurthi, JUUL® company claimed
that each 0.7 mL e-liquid pod delivers about 200 puffs or the equivalent to the amount of
nicotine in a pack of 20 tobacco cigarettes (Jackler & Ramamurthi, 2019). Harvanko et al.
measured acids in 23 e-liquids for second and third generation e-cigarettes and pods for
fourth generation devices. The frequency of detected acids (how many of the 23 products
contained an acid) in order from most to least was as follows: lactic, benzoic, levulinic,
salicylic, malic, and tartaric (Harvanko et al., 2020). The use of acids in the e-liquid
formulation for pod mod (and some earlier generation) e-cigarettes marks a critical evolution
in e-cigarette technology. Nicotine has two basic nitrogen groups in its chemical structure
and depending on the pH of the e-liquid, will exist in free-base (basic pH) or salt (acidic pH)
form. Addition of a weak acid to the formulation yields an e-liquid that contains nicotine in
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the salt form that has a lower pH (~4.9) than free-base nicotine (~8 to 10), thereby allowing
high levels of nicotine to be inhaled (and absorbed into blood) more easily and with less
irritation or harsh throat hit compared with free-base nicotine in regular tobacco cigarettes
and earlier generation e-cigarettes (Gotts, 2019; Harvanko et al., 2020; Jackler &
Ramamurthi, 2019; Schmidt, 2020; Talih et al., 2019). JUUL® brand flavored e-liquids once
included Cool Mint, Classic Menthol, Mango, Fruit Medley, Cool Cucumber, Crème Brulee,
Classic Tobacco, and Virginia Tobacco. As of November 2019, JUUL® only sells menthol
and tobacco flavored e-liquids. Note that other manufacturers have developed flavor
enhancement pods that attach to the mouthpiece of JUUL® and other brand pod mod
devices to mix flavorings with the user’s nicotine salt e-liquid (Cwalina, Leventhal, &
Barrington-Trimis, 2020).
4.2. E-liquids for cannabis delivery
E-cigarettes are used to vape Δ
9
-THC, CBD, and synthetic cannabinoids (made in the
laboratory) dispersed in e-liquids. Δ
9
-THC extracts, because of their unique physiochemical
properties, are difficult to disperse in PG/VG humectants. Δ
9
-THC extracts are hydrophobic,
highly viscous, semi-solid materials that are usually mixed with diluents, which might
include vitamin-E acetate (VEA), medium chain triglycerides, coconut oil, squalane, or
terpenes to form an e-liquid (Blount et al., 2020; Chand, Muthumalage, Maziak, & Rahman,
2019; Duffy et al., 2020; Giroud et al., 2015; Varlet, 2016). Among these diluents, in some
cases VEA was used prior to its being strongly linked to EVALI because it has similar
viscosity to pure Δ
9
-THC extract oil and was preferred by manufacturers because it is
tasteless and odorless, making it difficult for consumers to visually differentiate a product
composed of pure Δ
9
-THC oil compared with one that has been diluted with VEA (Blount et
al., 2020; Duffy et al., 2020). Some e-liquids for Δ
9
-THC extracts were reported to contain
pure PG as a diluent (Giroud et al., 2015; Peace, Stone, Poklis, Turner, & Poklis, 2016;
Varlet et al., 2016). When heated at temperatures used to vape cannabis oils, PG can form
acetaldehyde and formaldehyde (Troutt & DiDonato, 2017). Polar synthetic cannabinoids
readily dissolve in the same e-liquid formulations that are used for nicotine delivery
(Apirakkan et al., 2020; Breitbarth et al., 2018). Similarly, CBD can be dispersed in the
same e-liquid formulations used for nicotine delivery (Grafinger, Kronert, Broillet, &
Weinmann, 2020; Peace, Butler, Wolf, Poklis, & Poklis, 2016).
5. Who uses electronic delivery systems for nicotine and cannabis
delivery?
E-cigarettes have rapidly gained popularity amongst youth for nicotine delivery, and by
approximately 2014, were the most popular tobacco product for this demographic,
overtaking use of regular tobacco cigarettes in the United States and the United Kingdom
(de Lacy, Fletcher, Hewitt, Murphy, & Moore, 2017; Singh et al., 2016). By 2020, in the
United States, 19.6% of high school students and 4.7% of middle school students were
current e-cigarettes users (Wang et al., 2020). Globally, the use of ENDS is one of the most
popular ways to inhale cannabis (Breitbarth et al., 2018).
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5.1. E-cigarettes for nicotine delivery
Flavorings are a primary reason for use of any type of ENDS (Ambrose et al., 2015; Corey,
Ambrose, Apelberg, & King, 2015; Cullen et al., 2019; Harrell et al., 2017; Okawa, Tabuchi,
& Miyashiro, 2020; Pang et al., 2020; Rostron, Cheng, Gardner, & Ambrose, 2020; Tsai et
al., 2018; Villanti et al., 2017). Specifically, from wave 1 of the U.S. Population Assessment
of Tobacco and Health (PATH) study, among youth (age 12–17 years) that ever-used any
type of ENDS, 81.5% reported that product flavoring was a reason for use (Ambrose et al.,
2015). Further, “comes in flavors that I like” was the most highly ranked reason among
youth who were ENDS users (Villanti et al., 2017). In wave 4 of the PATH study, flavor use
among current (within past 30-days) ENDS users was 97.0% among youth, 96.8% among
young adults (age 18–24 years), and 81.2% among adults (age ≥25 years) (Rostron et al.,
2020). The 2020 National Youth Tobacco Survey (NYTS) revealed that among current e-
cigarette users, 84.7% of high school students and 73.9% of middle school students used
flavored e-liquids; fruit, menthol, mint, and candy, desserts, or other sweets were the most
commonly reported flavors (Wang et al., 2020). Recently invented and popularized single-
pod style devices such as JUUL® brand e-cigarette represent a unique form of e-cigarette
that utilize nicotine salts (previously described in Sections 3 and 4) and prevalence of their
use is described separately in Section 5.1.4. In general, prevalence estimates for current use
of e-cigarettes for nicotine delivery follow the rank order (from highest to lowest): high
school and college students > middle school students > adults, which indicate that these
devices pose a widespread public health problem; data are briefly summarized herein for
each demographic in order of decreasing prevalence.
5.1.1. High school and college students—E-cigarette use is highly prevalent
amongst U.S. high school and college students. From 2011 to 2020, the prevalence of e-
cigarette usage among U.S. high school students increased more than 13-fold from 1.5% to
19% (Singh, Arrazola, et al., 2016; Wang et al., 2020). In comparison with other countries,
the prevalence of ever current (prior 30 days) e-cigarette use among high school students in
Poland was 8.2%, and among high school students in Greece it was 2.8% (Goniewicz &
Zielinska-Danch, 2012; Soteriades et al., 2020).
E-cigarette use has increased dramatically among college students in the last decade, with
some estimates that one in four students are current users. Among students at eight colleges
in North Carolina, the prevalence of current e-cigarette usage in 2009 was 1.5% (Sutfin,
McCoy, Morrell, Hoeppner, & Wolfson, 2013). By 2011, the prevalence of current e-
cigarette usage was 3.1% among Texas college students and by 2013, the prevalence of
current e-cigarette usage was 14.9% among students at four New York State colleges
(Saddleson et al., 2015). Roberts et al. followed students at a U.S. college from their year of
entry through their third year and reported that current e-cigarette usage increased from 5.9
to 24.4% (Roberts, Keller-Hamilton, Ferketich, & Berman, 2020).
5.1.2. Middle school students—E-cigarette use among middle school students is a
public health problem; an estimated 1 in 10 students could be current users. From the NYTS,
between 2011 and 2015, the prevalence of current e-cigarette usage by U.S. middle school
(grades 6–8) students increased 9-fold to 5.3% (Singh, Arrazola, et al., 2016). By 2018, it
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was estimated that the prevalence of e-cigarette use among U.S. middle school students was
10.6% (Fite, Cushing, & Ortega, 2020). In an update of the NYTS, Wang et al. reported that
the prevalence of e-cigarette usage among middle school students in 2020 was 4.7% or
550,000 students (Wang et al., 2020).
5.1.3. Adults (18 years or older)—E-cigarette use is popular among adults and is
common in many occupations, which indicates that these devices present a public health and
workplace health concern. The prevalence of e-cigarette use by adults in the United States
(18 years or older) is up 5.5% (Bao, Liu, Du, Snetselaar, & Wallace, 2020; Coleman et al.,
2017; Delnevo et al., 2016; Jaber et al., 2018; Kava, Hannon, & Harris, 2020; Mirbolouk et
al., 2018; Mirbolouk et al., 2019; Pearson, Richardson, Niaura, Vallone, & Abrams, 2012;
Schoenborn & Gindi, 2015; Syamlal, Jamal, King, & Mazurek, 2016; Wang et al., 2019).
For comparison, the prevalence of e-cigarette use was 4.3% in Japan (among older
adolescents and young adults), 11.6% in Myanmar (among tobacco smokers), and 1.2%
(women) and 3.7% (men) in Estonia (Okawa et al., 2020; Reile & Parna, 2020; Soteriades et
al., 2020). Among U.S. adults, prevalence of current e-cigarette usage were consistently
highest for the 18 to 24-year age group (5.1 to 40%) and more than half of current e-
cigarette users (51.2%) were under 35 years (Mirbolouk et al., 2018; Mirbolouk et al., 2019;
Rostron et al., 2020; Schoenborn & Gindi, 2015). E-cigarette usage among adults by
industry in the United States were highest in the accommodation and food services industry
(6.9%). By occupation, prevalence of e-cigarette use was highest in food preparation and
serving-related jobs (6.8%) (Syamlal et al., 2016). Current e-cigarette use among adults in
the United States varies by geographic location, e.g., one study reported prevalence that
ranged from 2.4% (Washington, DC) to 6.7% (Oklahoma) (Hu et al., 2019).
5.1.4. Pod mod fourth generation e-cigarettes—Pod mod devices are a rapidly
growing public health concern amongst youth and adults. Specifically, among fourth
generation devices, JUUL® brand is the most popular pod mod style device with youth and
adults in the United States, which in 2017, accounted for nearly 40% of all e-cigarette sales
and over 70% of retail (excluding vape shops and internet sales) e-cigarette sales (Huang et
al., 2019; Ramamurthi et al., 2019). Among current U.S. high school students who use e-
cigarettes, 59.1% reported JUUL® as their usual brand in the last 30 days, whereas for
middle school students who used e-cigarettes, 54.1% reported using only JUUL® (Cullen et
al., 2019). At one U.S. college, the prevalence of current exclusive JUUL® usage was 21%
among students (Roberts, Keller-Hamilton, Ferketich, & Berman, 2020). Among adults
surveyed who tried JUUL®, 26% reported being exclusive JUUL® users (Leavens et al.,
2019). Vallone et al. recently reported on 2018 – 2019 data from the Truth Longitudinal
Cohort survey: for persons aged 15 to 34 years, the prevalence of current JUUL® users was
6.1%; from 2018 to 2019, JUUL® use increased among every age group in the survey but
was highest (12.8%) for persons aged 18 to 20 years, though brand preferences vary over
time (Vallone et al., 2020) as do flavor and device preferences (Ali et al., 2020). More
recently, use of JUUL® brand devices among youth has declined in favor of Puff Bar, Pop
Vapes, and other brands of disposable devices that come in a variety of flavors (Dai & Hao,
2020; Delnevo, Giovenco, & Hrywna, 2020; Miech et al., 2021).
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5.2. Vaporizers and e-cigarettes for cannabis delivery
Early trends in e-cigarette usage for nicotine delivery among youth raised concerns about the
potential use of these devices for consuming cannabis and other drugs (Giroud et al., 2015;
Morean, Kong, Camenga, Cavallo, & Krishnan-Sarin, 2015). These concerns were supported
by a survey of over 12,000 youth aged 16 to 19 years in Canada, the United States, and
England which reported that use of e-cigarettes to aerosolize e-liquids was associated with
their use to aerosolize cannabis (Smith et al., 2020). Multiple surveys reported that use of
electronic delivery systems to inhale cannabis was more popular among high school (about
14–18 years old) students compared with middle school students and adults (Breitbarth et
al., 2018; Dai, 2020; Dai & Siahpush, 2020; Morean et al., 2015).
Breitbarth et al. evaluated in detail the literature of surveys conducted from 2013 to 2017 on
use of electronic delivery systems for inhalation of cannabis (Breitbarth et al., 2018). They
reported that among high school students in the United States, 5.4–11.5% reported ever
using an electronic delivery system to inhale cannabis and in Canada, that prevalence was
8%. Additionally, in the United States, the percentage of high school age cannabis users that
used an electronic delivery system to inhale cannabis was higher if they resided in a state
with legal medical cannabis compared to a state without legal medical cannabis (50.8%
compared with 35.6%). Results from the NYTS conducted from 2017 to 2018 indicated that
the percentage of high school students that used e-cigarettes to inhale cannabis increased
from 16.1 to 21.7% (Dai, 2020). More recently, it was reported that 4.4 to 5.0% of high
school students who responded to the Monitoring the Future survey conducted in the United
States during 2017 reported that they used e-cigarettes to inhale cannabis (Dai & Siahpush,
2020).
From Breitbarth et al., in 2015, 3.4% of middle school students in Florida used an electronic
delivery system to inhale cannabis (Breitbarth et al., 2018). Using data from the NYTS, Dai
reported that from 2017 to 2018 the percent of middle school students that used an e-
cigarette to inhale cannabis increased from 4.5 to 5.5% (Dai, 2020). Of middle school
students who participated in the Monitoring the Future survey, 1.7% reported that they used
an e-cigarette to inhale cannabis (Dai & Siahpush, 2020).
Cannabis is estimated to be used by 3.5% of adults worldwide, though usage varies within
and between countries (Breitbarth et al., 2018). Breitbarth et al. summarized that in one
study of 2016 data, 22.5% of college students in the United States had used an electronic
delivery system to inhale cannabis. In a 2013–2014 survey, the percentages of adults that
used an electronic delivery system to inhale cannabis was reported to be 5.8% in Australia,
11.2% in the United States, and 13.3% in Canada. In a 2017 survey, the percentages of
adults that used an electronic delivery system to inhale cannabis was 6.2% in the United
Kingdom. In states where non-medical adult use of cannabis was legal in the United States,
53.8% of adults reported that they used an electronic delivery system to inhale cannabis. The
EVALI outbreak in the United States began in 2019 and as of January 14, 2020 there were
2,022 hospitalized patients who had data on substance use; 82% reported using Δ
9
-THC-
containing products, 33% reported exclusive use of Δ
9
-THC-containing products; 57%
reported using nicotine-containing products, and 14% reported exclusive use of nicotine-
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containing products. As of February 20, 2020 there were at least 2,807 hospitalized cases of
EVALI reported to the Centers for Disease Control and Prevention (www.cdc.gov/EVALI).
5.3. Timeliness of this review article
The preceding sections outlined the components and evolution of e-cigarettes and personal
vaporizers, compositions of e-liquids and cannabis extracts, and trends in e-cigarette use for
nicotine delivery and cannabis delivery. Based on this background information, persons who
span ¢a wide range of ages (from middle school students to adults) use e-cigarettes to
aerosolize substances. A major driver for e-cigarette use, especially among youth, is the
availability of flavored e-liquids. Many flavorings used in e-liquids for e-cigarettes fall under
the FDA GRAS safety assessment program; however, GRAS status applies only to
flavorings in foods for exposure through ingestion and does not provide regulatory authority
for the use of a flavoring in e-liquids where exposure is via inhalation from vaping. There is
precedent that flavorings intended for ingestion can cause significant bodily damage if
inhaled. Notably, some workers that handled mixtures that contained the flavoring diacetyl
during microwave popcorn production developed bronchiolitis obliterans, a devastating and
sometimes fatal lung disease (Kreiss et al., 2002). Given past experiences, the widespread
use of flavorings in e-liquids, and paucity of data, there is a clear need to critically evaluate
the current state of knowledge on possible toxic effects from inhalation of flavorings and
identify research gaps and opportunities. Further, the recent EVALI outbreak has brought
attention to the trend of using e-cigarettes and the chemical complexity of e-liquids for
cannabis delivery.
6. Methods
Fig. 2 summarizes the methods used to identify articles for this review. Peer-reviewed
literature in English were sought in the PubMed and Scopus databases using the following
keyword strings: (ENDS OR e-cigarette OR electronic cigarette OR electronic nicotine OR
vaporizer OR EVALI), (flav* OR aroma), and (e-juice OR refill solution OR e-liquid) for
publications as of April 30, 2020. For PubMed, results of these search strings were merged
with the Boolean operator “AND”, which resulted in 190 articles. Abstracts of these 190
articles were screened and any that were non-English or outside our scope (i.e., policy,
analytical method, exposure assessment, aerosol or e-liquid characterization, heated tobacco
or similar products, safety reports or case studies of nicotine poisoning) were eliminated,
which yielded 43 possible articles for inclusion. For Scopus, the merged search strings
returned 641 citations, of which 514 were eliminated because they were non-English or
outside of our scope, leaving 127 articles to consider for inclusion in this review. Next, the
170 citations (43 from PubMed + 127 from Scopus) were merged and we eliminated 19 that
were duplicates citations then removed another 19 that were review/editorial articles, two
risk assessments, three clinical reports, three studies of biomarkers or characterization of
exposure only, and one smoking cessation trial, which resulted in N = 123 articles for
consideration in final review. The third-level review involved detailed evaluation by one
author (A.B.S.). Studies that did not evaluate toxicology of flavorings in e-liquids or
flavored e-liquids or contain relevant information on EVALI were eliminated, which resulted
in 61 publications on flavorings-related toxicology and 26 publications related to EVALI
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included in the review. In July 2020, the literature review was updated, which identified
thirteen additional citations that met the criteria for inclusion in this review, bringing the
totals to 67 publications on flavorings-related toxicology and 33 publications on EVALI. The
articles included in this review were primarily
in vitro
studies (Table 2), with fewer
publications available on
in vivo
rodent and human studies (Table 3).
7. Toxicology of flavored e-liquids used in e-cigarettes
Fig. 3 depicts the relationship between vaped flavored e-liquids and target organs within the
body. Examples of known toxic responses and potential adverse health effects by target
organ are also given based on our literature review. Table 1 lists 65 flavorings used in e-
liquids that were shown to induce toxicity. Cinnamaldehyde was most frequently reported to
be cytotoxic, followed by vanillin, menthol, ethyl maltol, ethyl vanillin, benzaldehyde and
linalool, and the remaining chemicals. Table 2 (
in vitro
studies) and Table 3 (
in vivo
and
human studies) summarize the main findings of the 67 identified publications on the toxicity
of flavored e-liquids and flavorings. Studies to date have focused primarily on the
respiratory tract. Aerosolized flavorings in e-liquids are not fully metabolized in the lung
and a portion of the inhaled dose is absorbed into the bloodstream and distributed throughout
the body to the cardiovascular, developmental, skeletal, and immune systems. Many
flavorings were genotoxic or mutagenic in multiple cell types of the body. Additionally,
aerosolized flavorings may adversely affect the skin. Based on toxicological data such as
those presented in this section and other considerations, the U.S. FDA announced on January
2, 2020 their finalized enforcement policy on unauthorized flavored cartridge (pod)-based e-
cigarettes (e.g., JUUL® pod mod devices) that appeal to children (FDA, 2020). Under this
policy, companies must cease the manufacture, distribution and sale of unauthorized
flavored cartridges, though tobacco and menthol flavorings were exempted from the policy.
This ban applied only to flavored cartridges for use in pod mod devices and does not apply
to manufacturers of flavor enhancement pods that attach to the mouthpiece of JUUL® and
other brand pod mod devices, nor does it limit the availability of flavored e-liquids for use in
disposable (first generation) and tank-style (second and third generation) e-cigarettes.
It is important to note that various methods were used to expose cells to a bulk flavored e-
liquid or aerosol generated from a flavored e-liquid that was heated using an e-cigarette or
other means. This lack of standardization in methods used to expose cells makes inter-
comparison of study results difficult, and as noted in Section 9, standardization of many
experimental parameters is likely to reduce inter-study variability. For studies that exposed
cells to bulk e-liquids, the most common approach was to dilute the e-liquid in cell culture
medium. For studies that exposed cells to aerosolizede-liquid, there is much variability in
methods used to generate aerosol such as the generation of e-cigarette used, the device
settings (voltage, power, coil resistance), puff topography, and coil temperature as well as in
methods used to collect aerosols. For example, Romagna et al. were the first to expose cells
to constituents of aerosolized flavored e-liquid. In their study, an e-cigarette was connected
via tubing to a flask that contained culture medium. The other end of the tubing was
positioned just above the culture medium; a vacuum pump was used to draw aerosol from
the e-cigarette into the flask and over the medium and the fraction of aerosol that dissolved
in the culture medium was used to expose cells in a submerged culture system (Romagna et
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al., 2013). Another method employed to expose cells in some studies was the use of a
smoking machine to puff on an e-cigarette. Once generated by a smoking machine, aerosol
can be trapped in a condenser filled with culture medium (Bengalli, Ferri, Labra, &
Mantecca, 2017), passed through a liquid impinger (Bitzer et al., 2018), or collected by other
means and used to expose cells in a submerged culture system. Another experimental design
is to directly expose cells to aerosol generated from an e-cigarette by a smoking machine
using an air-liquid interface (ALI) system (Leigh, Lawton, Hershberger, & Goniewicz,
2016).
7.1. Respiratory system
The human respiratory tract can be divided into three main regions: head-airways,
tracheobronchial, and alveolar (see Fig. 3). The head-airways region extends from the nose
and mouth to the larynx, the tracheobronchial region from the trachea to the bronchioles, and
the alveolar region includes the terminal and respiratory bronchioles and the alveoli. When
aerosolized e-liquid is inhaled, it will travel throughout these successive regions of the
respiratory tract and interact with various cell types and induce different effects. Herein, we
critically review publications related to toxicity associated with flavored e-liquids. For more
information on respiratory hazards of e-cigarettes, including health impacts of non-flavored
e-liquids, the reader is referred to several recent review articles (Chun, Moazed, Calfee,
Matthay, & Gotts, 2017; Gotts, Jordt, McConnell, & Tarran, 2019; Tzortzi, Kapetanstrataki,
Evangelopoulou, & Beghrakis, 2020).
7.1.1. Cytotoxicity—From Table 2, flavored e-liquids and flavoring constituents were
shown to be cytotoxic to cells encountered in the head (e.g., oropharyngeal mucosa tissue
model), tracheobronchial (e.g., human lung bronchus Beas-2B cell line), and alveolar (e.g.,
mouse macrophage J774 cell line) regions of the respiratory tract. The Talbot laboratory
performed the seminal work on
in vitro
respiratory toxicity of flavored e-liquids. They first
suggested that cytotoxicity of e-liquids was related to flavorings, not nicotine. In their study,
twelve out of 36 butterscotch, caramel, coffee, fruit, chocolate, menthol, tobacco, and
cinnamon flavored e-liquid products were highly cytotoxic to human primary pulmonary
fibroblast (HPF) cells; Cinnamon Ceylon product was the most potent (Bahl et al., 2012).
Shortly thereafter, Romagna et al. published the first study that evaluated cytotoxicity of
aerosolized flavored e-liquids. A second-generation e-cigarette was used to aerosolize 21
flavored e-liquids; only Coffee flavored e-liquid was cytotoxic in BALB/3T3 fibroblasts at
the highest tested concentration (Romagna et al., 2013). Some caution is warranted in
generalizing the results from Romagna et al. to the human respiratory system because the
cells used were mouse embryonic cells. Cervalleti et al. reported that a Balsamic flavored e-
liquid was cytotoxic to human lung epithelial A549 cells (Cervellati et al., 2014) whereas
Misra et al. reported that Classic Tobacco and Magnificent Menthol flavored e-liquids were
not cytotoxic to this cell line (Misra, Leverette, Cooper, Bennett, & Brown, 2014). The
Talbot laboratory continued their line of inquiry by asking whether Cinnamon Ceylon e-
liquid specifically, or cinnamon flavored e-liquids in general, were cytotoxic. In an
interesting study design, HPF cells were plated in a cross pattern and a single dose of a
cinnamon-flavored e-liquid was added to the center culture well of the cross. Of the eight
cinnamon-flavored e-liquids (including Cinnamon Ceylon), five were volatile and induced
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cytotoxicity in adjacent cell culture wells. Next the authors analyzed the chemical
composition of e-liquids that exhibited cytotoxicity and identified four common flavorings:
cinnamaldehyde, 2-methoxycinnamaldehyde, dipropylene glycol, and vanillin. HPF cells
were exposed to authentic standards of each flavoring and all were cytotoxic;
cinnamaldehyde and 2-methoxycinnamaldehyde were the most potent (Behar et al., 2014).
Results of this publication sparked a debate with the Farsalinos laboratory on whether it was
appropriate to test diluted e-liquids since, when aerosolized, they are heated and the
characteristics of the aerosol might differ from the bulk liquid (Behar, Davis, Bahl, Lin, &
Talbot, 2014; Farsalinos, Romagna, & Voudris, 2014). The Talbot laboratory exposed A549
and HPF cells to aerosolized Cinnamon Ceylon flavored e-liquid and aerosolized
cinnamaldehyde flavoring. Aerosols produced with a fixed voltage second generation e-
cigarette and a variable voltage third-generation e-cigarette were cytotoxic. For the third-
generation e-cigarette, the cytotoxicity of aerosolized Cinnamon Ceylon flavored e-liquid
and cinnamaldehyde flavoring increased with applied voltage from 3 V (4.2 W) to 5 V (11.9
W). Additionally, the authors reported the formation of new substances in aerosol, including
2,3-butanedione (diacetyl), at 5 V but not 3 V (Behar et al., 2016). In subsequent studies, the
Talbot laboratory reaffirmed that both the e-cigarette generation and applied voltage
influenced aerosol production (including the formation of new substances), which in turn
affected cytotoxicity (Behar, Luo, McWhirter, Pankow, & Talbot, 2018) and that observed
cytotoxicity from exposure to diluted e-liquids and aerosolized e-liquids agreed 74% of the
time, which indicated that bulk liquids have utility to screen for cytotoxicity (Behar, Wang,
& Talbot, 2018). Other researchers, including Otreba et al. have independently confirmed
that cytotoxicity of aerosolized flavored e-liquids increased with applied e-cigarette voltage
(Otreba, Kosmider, Knysak, Warncke, & Sobczak, 2018).
Within a few years of the first publication on cytotoxicity of flavored e-liquids, there were
advances in the complexity of study designs of respiratory toxicity, including the first uses of
an ALI system and a tissue model, development of a high capacity screening method, and an
in vivo
study. Leigh et al. noted that a submerged cell culture, to which diluted e-liquid was
added, does not accurately model inhalation exposure of an aerosol. The authors exposed
H292 human lung epithelial cells to aerosolized Tobacco, Piña Colada, Menthol, Coffee, and
Strawberry flavored e-liquids generated using a tank-style e-cigarette in an ALI system and
reported that all flavored e-liquids were cytotoxic; Strawberry was the most potent (Leigh et
al., 2016). Keeping with the theme of trying to more accurately mimic the complex
conditions in the respiratory tract, Welz et al. employed an oropharyngeal mucosa tissue
model to evaluate the cytotoxicity of Apple, Cherry, and Tobacco flavored e-liquids and base
humectant mixtures (free of nicotine and flavors). All flavored e-liquids were cytotoxic,
though Apple and Cherry were more cytotoxic compared with Tobacco (Welz et al., 2016).
The sheer number of flavored e-liquids available and number of flavorings used in these
products makes individual screening a formidable challenge. Sherwood and Boitano adopted
a high-capacity real-time cell analysis technique to screen multiple flavorings using human
bronchial epithelial (HBE) cells. Seven flavoring chemicals were screened and 2,5-
dimethypyrazine, damascenone, linalool,
α
-ionone, and ethyl maltol were all cytotoxic
(Sherwood & Boitano, 2016). Singh et al. evaluated 18 flavored e-liquids using Beas-2B
human lung bronchus cells and confirmed earlier reports that menthol, tobacco, and
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butterscotch flavored e-liquids were among the most cytotoxic (Singh, Luquet, Smith,
Potgieter, & Ragazzon, 2016).
Bengalli et al. compared the cytotoxicity of aerosolized Mint and Cinnamon flavored e-
liquids in a monoculture (submerged A549 lung cells) and an alveolar-blood barrier (ABB)
co-culture system (NCI-H441 human lung epithelial cells + HPMEC-ST1.6R human
pulmonary microvascular endothelial cells). Both aerosols were cytotoxic in the mono- and
co-culture systems, though the monoculture was generally more sensitive to cytotoxic effects
(Bengalli et al., 2017). Several more studies were published in the literature that reported
(sometimes conflicting) results on the cytotoxic potential of flavored e-liquids and flavorings
to various cell types in the respiratory system (Gerloff et al., 2017; Gómez et al., 2020;
Lucas et al., 2020; Rowell et al., 2017; Ween et al., 2020; Ween, Whittall, Hamon, Reynolds,
& Hodge, 2017). Interestingly, results of an
in vitro
study with HFL-1 pulmonary fibroblasts
indicated that in addition to cytotoxicity, an e-liquid that contained tobacco, coconut, vanilla
and cookie flavors increased senescence-associated beta-galactosidase (SA-β-gal) activity
and inhibited transforming growth factor-β1 (TGF-β1) (Lucas et al., 2020). An increase in
SA-β-gal is indicative of cellular senescence (alterations in cellular homeostasis consistent
with pre-mature aging). TGF-β1 controls differentiation of fibroblast cells into
myofibroblasts, and inhibition of this growth factor indicated compromised wound healing
responses in cells.
To clarify the role of cell type in observed cytotoxicity results, Leslie et al. systematically
compared responses in multiple types of lung cells. The authors evaluated the influence of
10 aerosolized flavored e-liquids on seven cell types: four human-derived bronchial
epithelial cell lines (Beas-2B, IB3-1, C38, and CALU-3), one mouse macrophage cell line
(J774), one human monocyte cell line (THP-1), and one human fibroblast cell line (Wi-38).
These cell lines were selected to test the effects of aerosolized flavored e-liquids on multiple
respiratory cell types that would encounter inhaled e-cigarette aerosol: bronchial epithelial
cells that line the upper respiratory tract, underlying fibroblast cells, and macrophages,
which are immune cells that function to remove foreign material from lung surfaces. As
expected, different cell types exhibited different sensitivity to aerosolized flavored e-liquids.
In general, Beas-2B lung epithelial cells were most sensitive and aerosolized Strawberry and
Cherry flavored e-liquids were most cytotoxic. Based on their data, the authors concluded
that the chosen cell line can influence cytotoxicity study results and there was a need for a
standardized
in vitro
test protocol to evaluate respiratory cytotoxicity of e-liquids (Leslie et
al., 2017).
Subsequent research evolved from testing single flavorings to exploring the effects of
complex mixtures of flavoring chemicals used in e-liquids, the use of ALI systems became
more common, more high-throughput screening (HTS) and systems toxicology approaches
were reported, and the first study of flavored e-liquids for JUUL® brand pod mod e-
cigarettes was reported. Muthumalage et al. was the first to systematically evaluate and
compare the cytotoxicity of individual flavoring chemicals and flavoring mixtures used in e-
liquids; they reported that the mixtures were more cytotoxic to respiratory tract cells than the
individual constituents (Muthumalage et al., 2018). In a subsequent study, Marescotti et al.
evaluated 28 flavoring chemicals both independently and in mixtures using laboratory
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prepared e-liquids and HBE cells. The authors reported that individually 2-acetylthiazole,
allyl hexanoate,
α
-pinene, citronellol, guaiacol, linalool, methyl anthranilate, 3-methyl-2,4-
nonanedione, 3-(methylthio) propionaldehyde, and phenethyl alcohol e-liquids exhibited
increased cytotoxicity; citronellol and
α
-pinene were the most cytotoxic. When they
evaluated the cytotoxicity of flavoring mixtures, the cytotoxicity of mixtures differed from
that of the individual flavorings and citronellol was the main driver of toxicity while other
flavorings contributed to synergistic effects (Marescotti et al., 2020). Tissue models better
mimic
in vivo
conditions than submerged monocultures because they contain differentiated
cell types that are present in the respiratory epithelium. Using ALI systems, aerosolized
Blueberry flavored e-liquid was not cytotoxic in the EpiAirway
3D tissue model (Czekala
et al., 2019) but an aerosolized e-liquid that contained cinnamaldehyde flavoring was
cytotoxic in the MucilAir
3D tissue model (Bishop et al., 2019).
Sassano et al. reported an open source three-phase HTS approach. This HTS approach
permitted screening of cytotoxicity for 148 commercial flavored e-liquids, more than any
single study to date. The authors reported that liquid and aerosolized Arctic Tobacco,
Pumpkin Pie, Chocolate Banana, Cherry Kola, Kola, Hot Cinnamon Candies, Mojito, Green
Gummies, Vanilla Bean, and Menthol Tobacco flavored e-liquids were most cytotoxic to
HEK-293T cells. It is important to note that, though often used in toxicology studies because
of their robustness, HEK are human kidney epithelial cells, not respiratory cells. The authors
further evaluated a subset of 14 flavored e-liquids and reported that they were cytotoxic in
A549 human lung epithelial, HBE, and primary alveolar macrophage cells. Their data
revealed a weak correlation between the presence or absence of flavorings in e-liquids and
cytotoxicity; however, there was a correlation between cytotoxicity and the concentration of
vanillin and cinnamaldehyde flavorings in e-liquids and vanillin was identified as a major
driver of cytotoxicity. Aside from product-specific cytotoxicity data, this HTS approach
revealed two important findings. Firstly, cytotoxicity was consistent regardless of whether
cells were exposed to the flavored e-liquid itself or the aerosolized flavored e-liquid, which
supports the utility of bulk e-liquid screening that was debated in the earlier literature.
Secondly, the authors observed that the more flavoring chemicals in an e-liquid product, the
more cytotoxic it was to respiratory cells, which was consistent with prior studies using
embryonic stem cells (Bahl et al., 2012). Overall, their results suggested that an HTS
approach to evaluate the cytotoxicity of flavored e-liquids may be feasible (Sassano et al.,
2018).
In a series of studies by the tobacco cigarette industry, which has developed its own e-
cigarette products, a three-tier systems toxicology framework was proposed to evaluate
toxicity of e-liquids (Iskandar et al., 2019; Marescotti et al., 2020). The first tier of this
framework was intended to screen e-liquids for potential toxicity, the second tier to
determine the mechanism of toxicity for e-liquids, and the third tier to determine the
mechanism of toxicity for the aerosolized e-liquids. Using their approach, Iskander et al.
reported no difference in cytotoxicity of a flavored (not specified) e-liquid compared with an
unflavored e-liquid of the same composition using a submerged monoculture of HBE cells
or an ALI system with SmallAir
(human small airway) and EpiOral
(human mucosal)
3D tissue models (Iskandar, Zanetti, Marescotti, et al., 2019). In a follow-on tobacco
industry study, Marescotti et al. applied this systems toxicology approach but presented a
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computationally derived scoring system for each tier to create a single summary score of all
observed toxic effects of an e-liquid. Their scoring system was applied to 28 flavoring
chemicals alone or in mixtures, and as noted earlier in this section, cytotoxicity of mixtures
differed from that of the individual flavoring constituents (Marescotti et al., 2020). Based, in
part, on the results of these studies, the tobacco cigarette industry touted their systems
toxicology approach as a valuable tool to screen single flavoring substances and rank them
based on their toxicity “so that manufacturers can develop and/or produce e-liquids with
nontoxic flavor composition and doses” (Marescotti et al., 2020). As noted in Section 5.1,
use of flavorings in e-liquids is a known major attractant for youth to begin e-cigarette use.
The Talbot laboratory extended their work on cytotoxicity of aerosolized flavored e-liquids
and flavorings produced by early generation e-cigarettes to fourth generation pod mod
devices. Omaiye et al. evaluated the cytotoxicity of all eight JUUL® brand flavored e-
liquids. All e-liquids were cytotoxic to Beas-2B human lung bronchus cells and five of eight
aerosolized flavored e-liquids were cytotoxic to these cells. Cytotoxicity of aerosolized
flavored e-liquids was highly correlated with ethyl maltol flavoring concentration and
weakly correlated with menthol and vanillin flavoring concentrations. The authors noted that
the U.S. FDA has raised concerns that JUUL® use may pose risk of addiction to nicotine for
a new generation of adolescents and serve as a gateway to use of regular tobacco cigarettes.
They also noted that their data raised a new concern that the high levels of flavorings in
JUUL® e-liquids can damage or kill lung cells (Omaiye, McWhirter, Luo, Pankow, &
Talbot, 2019). As noted in Section 4.1, as of November 2019, JUUL® only sells Menthol,
Classic Tobacco, and Virginia Tobacco flavored e-liquids. Recently, Lamb et al. evaluated
the effects of aerosolized JUUL® brand Menthol and Virginia Tobacco e-liquids on
mitochondrial function. They reported that aerosolized Menthol flavored e-liquid caused
mitochondrial dysfunction in Beas-2B lung epithelial cells (Lamb, Muthumalage, &
Rahman, 2020), which may lead to a variety of diseases. Note that since JUUL stopped
selling fruity and other flavored e-liquids, some manufacturers have developed flavor
enhancement pods that attach to the mouthpiece of JUUL® and other brand pod mod
devices to mix flavorings with the user’s nicotine salt e-liquid (Cwalina et al., 2020).
Secondhand exposure to regular tobacco smoke is associated with development of otitis
media, an infection characterized by pain, inflammation, and flow of fluid out of the middle
ear cavity (Song et al., 2018). Epithelial cells help to maintain homeostasis and sterility of
the middle ear and abnormalities in these cells can lead to the development of otitis media.
Given the association with regular tobacco smoking, the Chang laboratory asked whether the
use of e-cigarettes may negatively impact the middle ear. In their initial study, human middle
ear epithelial cells were exposed to flavored e-liquids without nicotine (Song et al., 2018). A
total of 73 e-liquids grouped into five flavor categories (tobacco, coffee, fruit, mint/menthol,
and “other” such as caramel and honey) were tested for cytotoxic potential. Among specific
flavored e-liquid products, Tobacco, Coffee, Mango, and Chocolate-Menthol were cytotoxic
with Chocolate-Menthol being the most potent. Among flavor categories, mint/menthol was
the most cytotoxic. In a follow-on study, these researchers evaluated the effect of Menthol
and Tobacco flavored e-liquids on middle ear epithelial cells (Go, Mun, Chae, Chang, &
Song, 2020). Both flavored e-liquids increased release of mRNA of inflammatory cytokines
and mucin production and induced apoptosis and autophagy; Menthol flavored e-liquid was
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more cytotoxic compared with Tobacco flavored e-liquid. The authors concluded that
flavored e-liquids were cytotoxic and could cause otitis media in middle ear epithelial cells
via reduced cell viability and stimulation of inflammatory cytokines and mucin production.
Regular tobacco cigarettes generate secondhand smoke via smoldering of the cigarette when
not puffed and exhalation of smoke. E-cigarettes do not smolder like a regular tobacco
cigarette, so the only secondhand exposure potential is the aerosol that is exhaled by a user.
The composition of mainstream aerosol (what is inhaled by the user) differs from that of the
secondhand aerosol (Marco & Grimalt, 2015; Papaefstathiou, Bezantakos, Stylianou,
Biskos, & Agapiou, 2020; Samburova et al., 2018). In the studies of otitis media, cells were
exposed to diluted e-liquids even though development of this disease has been associated
with secondhand tobacco smoke exposure. These studies have provided a valuable
foundation for understanding possible effects of flavored e-liquids, though future studies of
otitis media should also consider exposure to secondhand (exhaled) aerosol constituents.
7.1.2. Oxidative stress and inflammatory responses—The toxic effects of
flavored e-liquids and flavoring constituents in the respiratory tract extends beyond
cytotoxicity. Several researchers have explored respiratory oxidative stress and inflammatory
responses as key events in the pathogenesis of chronic respiratory system diseases. The
generation of reactive oxygen species (ROS) and the effects on cell signaling may result
from a respiratory or oxidative burst response to cellular contact with a foreign body.
Generation of ROS may lead to the stimulation of inflammatory processes such as secretion
of chemotactic factors, proteolytic enzymes, lipoxygenases, and the release of signaling
proteins (
Leonard, Harris, & Shi, 2004). There is a critical balance between oxidants and
antioxidant defenses (Ho, Magnenat, Gargano, & Cao, 1998) and if cells are unable to
maintain this redox balance, it may result in a chronic inflammatory state in the respiratory
system. This inflammatory state may result in damage to the cells involved and to the
surrounding tissue via activation of signaling pathways, inflammatory cytokine production,
altered gene expression, and other cellular modifications.
Several research groups have screened flavored e-liquids for capacity to produce ROS using
cell-free and cellular systems. Lerner et al. evaluated the capacity of 22 flavored e-liquids to
generate ROS using a cell-free fluorescent probe. In this study, aerosol was generated using
an e-cigarette attached to a smoking machine; the aerosol was passed through a bubbler that
contained 2’,7’dichlorofluorescein dye solution then analyzed for oxidized
dichlorofluorescein fluorescence using a spectrophotometer. All flavored e-liquids generated
ROS, though amounts differed by product; sweet or fruit flavored e-liquids were stronger
oxidizers than tobacco flavored e-liquids. The authors concluded that ROS generated by
flavored e-liquids was dependent on the presence of flavoring chemicals. The authors also
explored factors that could influence generation of ROS in aerosolized flavored e-liquids.
Their results identified ROS in aerosolized Magnificent Menthol and Classic Tobacco
flavored e-liquids, which indicated that ROS may be inhaled directly into the lung during e-
cigarette use. Further, generation of ROS in aerosolized e-liquids was impacted by the age of
the e-cigarette heating coil (see e-cigarette schematics in Fig. 1): more ROS were produced
from a new coil compared with coils that were previously used at least 50 times (Lerner et
al., 2015). Muthumalage et al. also evaluated cell-free ROS generation from flavored e-
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liquids aerosolized with new and aged heating coils using the 2’,7’dichlorofluorescein dye
method. When aerosolized with a new atomizer, American Tobacco, Mystery Mix, and
Mixed Flavors e-liquids generated ROS and when aerosolized with a used atomizer, Café
Latte, Cinnamon Roll, and Cotton Candy flavored e-liquids generated ROS. In this study,
hydrogen peroxide (H
2
O
2
) equivalents (a relatively stable ROS species) produced with new
and used heating coils were similar (Muthumalage et al., 2018). Unfortunately, the same
flavored e-liquids were not tested with both conditions of coils (new or used), which
precluded inference as to the influence of coil age on ROS generation. Zhao et al.
characterized cell-free ROS generation from two flavored e-liquids. These authors used
Trolox, a water-soluble form of vitamin E to measure ROS production. Trolox is oxidized to
its Trolox quinone in the presence of ROS. Briefly, aerosol from an e-cigarette generated
using a smoking machine was pulled through a bubbler that contained Trolox solution. The
Trolox solution was split and horseradish peroxidase added to one sample. Liquid
chromatography with tandem mass spectrometry analysis was used to analyze samples for
Trolox quinone, i.e., the sample with no horseradish peroxidase was used to quantify short-
lived ROS species and the among of hydrogen peroxide equivalents generated was
quantified as the difference the samples with and without horseradish peroxidase. Zhao et al.
reported that aerosolized Fruit flavored e-liquid generated three times more total ROS and
H
2
O
2
compared with aerosolized Tobacco flavor e-liquid. Based on these and other
experimental results presented, the authors concluded that aerosolized e-liquids may contain
ROS precursors that can generate more ROS upon deposition in the lung and phagocytosis
by macrophages (J. Zhao et al., 2018). Iskander et al. reported no difference in oxidative
stress from exposure to an aerosolized flavored (not specified) e-liquid compared with an
unflavored e-liquid using a submerged monoculture of HBE cells and an ALI system with
SmallAir
(human small airway) 3D tissue model (Iskandar, Zanetti, Marescotti, et al.,
2019). Bitzer et al. screened 49 laboratory-prepared flavored e-liquids for oxidative capacity
and reported that a vanilla flavored e-liquid generated less ROS compared with an
unflavored PG/VG humectant mixture in a cell-free system (collected in alpha phenyl-N-tert
butyl nitrone [PBN] spin trap followed by electron paramagnetic resonance analysis), but 20
flavored e-liquids generated significantly higher ROS compared with the humectant mixture
(Bitzer et al., 2018). A recent study characterized the metals content and oxidative capacity
of aerosolized JUUL® Fruit Medley flavored e-liquid (no longer sold) and two nicotine-
containing e-liquids from first generation e-cigarettes (Pearce et al., 2020). Aerosol from
Mistic and Logic Power first generation e-cigarette nicotine e-liquids had higher
concentrations of total metals and generated more ROS in HBE cells compared with
aerosolized JUUL® Fruit Medley e-liquid. At the highest dose tested (25 puffs), all
aerosolized e-liquids caused oxidative stress (measured as reduction in HBE cellular
glutathione levels). Results were not compared with aerosolized humectant-only e-liquid
exposures nor aerosolized nicotine-free e-liquid exposures, as such, it is difficult to
disentangle the relative influence of flavorings, metals, and nicotine on reported results from
this study.
Studies of flavoring chemicals used in e-liquids have demonstrated the capacity of individual
flavorings and mixtures of flavorings to generate ROS. As noted above, Bitzer et al.
measured ROS production of 10 flavorings in a cell-free system. Each flavoring was
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dissolved in PG/VG and aerosolized using an e-cigarette. Ethyl vanillin PG acetal, ethyl
vanillin, β-damascone, and δ-tetradecalactone were negatively correlated with ROS levels,
which suggested an inhibitive effect. Six flavorings (γ-decalactone, citral, ethyl maltol,
piperonal,
d
-limonene, and linalool) were positively correlated with ROS levels, which
indicated that they contributed to increased radical production. Further, linalool, piperonal,
and citral caused significant increases of lipid peroxidation products (Bitzer et al., 2018).
Muthumalage et al. measured ROS generation from seven flavoring chemicals using a cell-
free system (2’,7’dichlorofluorescein dye method). Diacetyl, cinnamaldehyde, maltol, o-
vanillin, and coumarin flavorings generated ROS in a concentration-dependent manner
whereas acetoin and 2,3-pentanedione only generated ROS at highest tested concentration
(Muthumalage et al., 2018). As noted earlier in this section, the oxidative burst capacity of
immune cells such as neutrophils is a powerful component of the body’s first line of defense
against inhaled foreign material. Hickman et al. measured the impact of flavoring chemicals
on the oxidative burst capacity of primary human neutrophils isolated from venous blood.
They reported that cinnamaldehyde and ethyl vanillin most attenuated oxidative burst,
benzaldehyde and benzaldehyde PG acetal attenuated the response at higher tested
concentrations, and isoamyl acetate did not affect the response (Hickman, Herrera, &
Jaspers, 2019). As described in Section 7.1.1, the tobacco cigarette industry has proposed a
three-tiered systems toxicology approach to evaluation of e-liquids. The second step of their
approach was evaluation of the mechanisms of toxicity of e-liquids. Marescotti et al.
evaluated the impact of 28 flavoring chemicals, singly or in mixtures, using laboratory
prepared e-liquids and human bronchial epithelial cells. Of the 28 flavorings evaluated
singly, two, citronellol and
α
-pinene were reported to induce increased oxidative stress
(Marescotti et al., 2020).
Smoking tobacco cigarettes is associated with tooth loss and destruction of connective tissue
and matrix, which may lead to risk of development of periodontitis (Sundar, Javed,
Romanos, & Rahman, 2016). According to Sundar et al., upon inhalation, aerosolized e-
liquid will first contact tissue in the oral cavity and head-airways region so they evaluated
whether flavored e-liquids would adversely impact human periodontal ligament fibroblast
(HPdLF) cells and human gingival fibroblasts and primary gingival epithelial tissue
(EpiGingival
3D tissue model) using an ALI system (Sundar et al., 2016). They reported
that aerosolized Magnificent Menthol and Classic Tobacco flavored e-liquids increased
secretion of the proinflammatory cytokine IL-8 in HPdLF cells, which indicated that
oxidants overwhelmed cellular antioxidant defenses. Further, aerosolized Magnificent
Menthol flavored e-liquid increased release of the inflammatory markers COX-2, S100A8,
and RAGE and aerosolized Classic Tobacco flavored e-liquid increased release of S100A8
in HPdLF cells. When aerosolized, both flavored e-liquids increased secretion of PGE
2
, an
inflammatory marker, in EpiGingival
tissue. Based on their data, the authors highlight the
pathologic role of aerosolized flavored e-liquids on cells and tissue in the oral cavity (Sundar
et al., 2016); however, some caution is warranted in this interpretation because nicotine
levels differed between flavored e-liquids. Iskander et al. reported no difference in oxidative
stress from exposure to a aerosolized flavored (not specified) e-liquid compared with an
unflavored e-liquid using an ALI system with EpiOral
(human oral mucosal) 3D tissue
model (Iskandar, Zanetti, Marescotti, et al., 2019). Lipid peroxidation is implicated in the
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pathogenesis of periodontal disease. In the only study to evaluate the oxidative capacity of
aerosolized flavored e-liquids in humans, Menicagli et al. measured salivary
malondialdehyde as a marker of lipid peroxidation. The authors reported that levels of
salivary malonidialdehyde were significantly higher in e-cigarette users who aerosolized a
tobacco-flavored e-liquid without nicotine, which suggested oxidative damage (Menicagli,
Marotta, and Serra, 2020). Collectively, the results of most studies indicate that flavored e-
liquid aerosol can disrupt cell function via oxidative stress pathways, which may result in
oral diseases.
As inhaled aerosol from an e-cigarette penetrates past the head-airway region and into the
tracheobronchial and alveolar regions, there is further opportunity for adverse impacts on
oxidant homeostasis in lung cells. IL-8 functions as a chemoattractant for inflammatory cells
such as neutrophils and is a well-established biomarker of oxidativestress-mediated
inflammation and tissue damage in the lung. The literature on IL-8 secretion in response to
exposure to flavored e-liquids and flavoring chemicals is conflicting. Misra et al. observed
that IL-8 levels in A549 human lung epithelial cells were lower following exposure to
flavored e-liquids compared with other tobacco product extracts and that IL-8 was released
by cells exposed to aerosolized flavored e-liquids (Misra et al., 2014). Clapp et al. reported
that Sini-cide (cinnamon flavored) e-liquid significantly suppressed IL-8 secretion by human
alveolar macrophage cells (Clapp et al., 2017). In another study, 36 flavored e-liquids and
seven flavoring chemicals were evaluated, and it was reported that specific flavored e-liquids
and acetoin flavoring suppressed IL-8 secretion by human pleura/pleural lymphocyte (U937)
cells (Muthumalage et al., 2018). Czekala et al. did not observe any change in IL-8 levels in
EpiAirway
(human lung) 3D tissue model following exposure to aerosolized Blueberry
flavored e-liquid compared with an unflavored e-liquid (Czekala et al., 2019). In contrast, it
has been reported that IL-8 release was increased in human lung fibroblast (HFL-1) cells
exposed to Cinnamon Roll and other flavored e-liquids (Lerner et al., 2015) as well as an e-
liquid that contained a mixture of tobacco, coconut, vanilla, and cookie flavors (Lucas et al.,
2020); human lung epithelial (A549) cells exposed to aerosolized Cinnamon flavored e-
liquid (Bengalli et al., 2017); human neutrophils isolated from venous blood exposed to
Kola, Hot Cinnamon Candies, Banana Pudding, Menthol Tobacco and Banana flavored e-
liquids (Clapp et al., 2017); human lung bronchus (Beas-2B) cells exposed to acetoin,
diacetyl, maltol, and o-vanillin flavorings and HFL-1 cells exposed to acetoin, pentanedione,
maltol, and o-vanillin (Gerloff et al., 2017); THP-1 human monocytes from isolated
peripheral blood exposed to three Apple flavored e-liquids (Ween et al., 2017); U937 cells
exposed to cinnamaldehyde, diacetyl, 2,3-pentanedione, o-vanillin, maltol, and coumarin
flavorings; and, human blood monocyte (MM6) cells exposed to acetoin, cinnamaldehyde,
and o-vanillin flavorings (Muthumalage et al., 2018). In addition to IL-8, other
proinflammatory molecules that are secreted or suppressed in response to exposure to
flavored e-liquids or flavoring chemicals include IL-1β and IL-6, IL-10, chemokine (C-X-C
motif) ligand (CXCL) 1, CXCL2 and CXCL10 (Clapp et al., 2017; Czekala et al., 2019;
Gómez et al., 2020; Leigh et al., 2016; Ween et al., 2017; Ween et al., 2020); monocyte
chemotactic protein (MCP)-1 (Bengalli et al., 2017; Ween et al., 2017); and tumor necrosis
factor (TNF)-α, macrophage inflammatory protein (MIP)-1a, and MIP-1b (Ween et al.,
2017; Ween et al., 2020).
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Collectively, the available body of literature has demonstrated that ROS generation and
secretion of proinflammatory signaling molecules following exposure to flavored e-liquids
and flavoring chemicals is substance-specific and may be suppressed, unchanged, or
increased depending upon the e-liquid composition or flavoring chemical. Additionally, the
same flavoring did not induce cytokine secretion in different cell types, which indicated that
the choice of cell line is an important consideration in study design.
7.1.3. Impairment of mucociliary clearance—Mucociliary clearance refers to the
movement of foreign material that is deposited in the mucous layer that covers the
respiratory tract epithelium via the beating of cilia. This mechanism is sometimes referred to
as the “mucociliary escalator.” The ciliated portion of the respiratory tract extends from the
nose through the tracheobronchial region but excludes the alveolar region. Each cilia of the
respiratory tract beats in a coordinated fashion at the same frequency but in a phase-shifted
manner with its neighbors, which has the net effect of generating a wave that travels across
the epithelium and propels the overlying mucus layer (Bustamante-Marin & Ostrowski,
2017). In the nose, the mucus layer is propelled by ciliary action toward the pharynx
whereas in the tracheobronchial region the mucus layer is propelled by cilium toward the
larynx, where it is swallowed and excreted via the gastrointestinal tract. Mucociliary
clearance is a key respiratory defense and impairment of ciliary beating could increase the
risk of respiratory infections in e-cigarette users.
Histological analysis of EpiAirway
human lung 3D tissue exposed to aerosolized
Blueberry flavored e-liquid and aerosolized unflavored e-liquid using an ALI system
revealed no effect on cilia morphology (Czekala et al., 2019). Consistent with this
observation, Iskander et al. reported that exposure to aerosolized flavored (unspecified) e-
liquid and aerosolized unflavored e-liquid did not impact cilia beating frequency in
SmallAir
(human small airway) and EpiOral
(human mucosal) 3D tissue models using
an ALI system (Iskandar et al., 2019).
Sherwood and Boitano evaluated the impact of 2,5-dimethylpyrazine flavoring on HBE cells
with a high-capacity real-time cell analysis approach. Cells were treated with non-cytotoxic
concentrations of 2,5-dimethylpyrazine, followed by exposure to either forskolin (to raise
cyclic adenosine monophosphate) or exogenous adenosine triphosphate (to raise intracellular
Ca
2+
concentration). Exposure to both compounds resulted in a concentration-dependent
reduction in physiological response, which indicated a change in signaling molecules
important for maintenance of mucociliary clearance (Sherwood & Boitano, 2016).
Aldehydes in regular tobacco cigarette smoke are known to reduce ciliary beat frequency,
and in turn, diminish mucociliary clearance (Clapp et al., 2019). To evaluate whether the
same effects would be seen from aerosolized flavorings used in e-liquids, Clapp et al.
exposed HBE cells to Kola, Hot Cinnamon Candies, and Sini-cide flavored e-liquids that
contained cinnamaldehyde flavoring. All bulk and aerosolized flavored e-liquids transiently
suppressed cilia beat frequency (Clapp et al., 2019). One research group took a
transcriptomic approach to evaluate the influence of flavorings on mucociliary clearance.
The authors exposed HBE cells to authentic standards of diacetyl or 2,3-pentanedione using
an ALI system and identified 163 and 568 differentially expressed genes, respectively. Of
these genes, 142 were common to both flavorings; expression of several genes significantly
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downregulated production of cilia. Further, exposure to these flavoring chemicals
significantly decreased the number of ciliated cells, which indicated the potential to impair
mucociliary clearance (Park et al., 2019).
7.1.4. Impairment of cell-mediated clearance—Macrophages, neutrophils, and
Natural Killer (NK) cells form part of the body’s first line of defense against foreign
material that is deposited throughout the respiratory tract, including the non-ciliated alveolar
region. Failure of these innate immune cells to perform their functions may leave a person
susceptible to infection and/or contribute to impaired resolution of inflammation (Clapp et
al., 2017). For example, airway macrophages and neutrophils from regular tobacco cigarette
smokers and persons with chronic obstructive pulmonary disease have impaired ability to
phagocytize bacteria, which can make them susceptible to development of pneumonia
(Hickman et al., 2019; Ween et al., 2017). In one study, Kola and Sini-cide flavored e-liquids
impaired macrophage phagocytic capacity (Clapp et al., 2017). Aerosolized Apple and Irish
Cream flavored e-liquids reduced macrophage (THP-1 human monocytes from peripheral
blood)-mediated phagocytosis of bacteria (Gómez et al., 2020; Ween et al., 2017), an effect
that was demonstrated to be related to reduced expression of the bacteria phagocytosis
recognition receptor (SR)-A1 on macrophage cell surfaces (Ween et al., 2017). Clapp et al.
reported that Hot Cinnamon Candies, Banana Pudding, Menthol Tobacco, Banana, and Sini-
cide flavored e-liquids (but not Kola or Solid Menthol flavored e-liquids) reduced neutrophil
phagocytosis in a dose-dependent manner (
Clapp et al., 2017). Hickman et al. evaluated the
influence of common aldehyde e-liquid flavorings on neutrophil functioning and reported
that cinnamaldehyde (cinnamon), ethyl vanillin (vanilla), and benzaldehyde and
benzaldehyde PG acetal (cherry or almond) impaired phagocytosis but isoamyl acetate
(banana) had no effect (Hickman et al., 2019). Clapp et al. isolated NK cells from venous
blood and exposed them to flavored e-liquids and reported that Cinnamon flavored e-liquids
suppressed NK cell killing of target cells, which suggested that failure of NK cells in the
lung to perform their immune functions may leave a person susceptible to infection (Clapp
et al., 2017). However, caution is warranted in this conclusion for NK cells isolated from the
peripheral blood because these cells constituted a subset referred to as conventional NK cells
that exhibited numerous functional and phenotypical differences from resident NK cells in
lung tissue (Cong & Wei, 2019). In the only
in vivo
study to evaluate the impact of
aerosolized e-liquids on innate immune cells in the lung, Werley et al. exposed female
Crl:CD(SD) rats for 90 days via nose-only inhalation to aerosol produced using a tobacco
cigarette industry prototype e-cigarette with a flavored e-liquid (specific flavor not
identified) and an unflavored e-liquid with the same composition. Rats in the high flavored
e-liquid exposure group had higher alkaline phosphatase, lactate dehydrogenase, and total
protein values compared with rats in the low- and mid- flavored e-liquid exposure groups,
which suggested general cytotoxicity to lung cells. Levels of these parameters in the high
flavored e-liquid exposure group did not differ from the high-exposure vehicle control
group. The authors reported at 28 and 90 days, the high flavored e-liquid exposure group had
higher proportions of neutrophils than the low- and mid-exposure groups; however, there
was no difference in total and differential cell counts of alveolar macrophages, neutrophils,
lymphocytes, eosinophils, or total cell count compared with control animals, which
suggested no impact on cellular clearance (Werley et al., 2016).
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Apoptosis, or programmed cell death, is a normal physiological function whereby cells
turnover and are cleared away by alveolar macrophages to prevent build-up of apoptotic
debris, which can cause pulmonary inflammation. It has been reported that regular tobacco
smokers and persons with chronic obstructive pulmonary disease have a higher rate of
apoptosis of airway cells and reduced ability of alveolar macrophages to clear apoptotic
debris (a process sometimes referred to as “efferocytosis”) (Ween et al., 2020). Using the
same Apple flavored e-liquids from their prior study, Ween et al. reported that all aerosolized
e-liquids increased necrosis and apoptosis (in HBE cells), decreased phagocytosis of
apoptotic debris (in THP-1 macrophage cells), and reduced surface expression of CD36
receptor, a key apoptotic cell recognition receptor on macrophages, which suggested that,
like regular tobacco cigarettes, aerosolized e-liquids could also impair efferocytosis (Ween et
al., 2020). In a series of studies by the regular tobacco cigarette industry to evaluate their
own e-cigarette products using a three-tiered systems toxicology approach, results were
reported on the mechanism of toxicity for e-liquids (Iskandar, Zanetti, Marescotti, et al.,
2019; Marescotti et al., 2020). Iskander et al. reported there was no difference in protein
markers of autophagy for aerosolized flavored (unspecified) e-liquid compared with
aerosolized unflavored e-liquid in SmallAir
and EpiOral
3D tissue models. Marescotti et
al. evaluated the influence of specific flavoring chemicals on HBE cells and reported that
citronellol,
α
-pinene, and linalool in e-liquids triggered signs of apoptosis via activated
caspase 3 and caspase 7 activity.
Under normal conditions, respiratory tract epithelial cells form junctions that provide a
protective barrier to prevent penetration of foreign material into blood (Gerloff et al., 2017).
Bengalli et al. used an
in vitro
reconstructed ABB co-culture composed of alveolar lung
epithelial cells (NCI-H441) which are directly exposed to e-cigarette aerosol and basal lung
microvascular endothelial cells (HPMEC). This co-culture was grown while measuring
transepithelial electrical resistance, and when it reached a maximum value, which indicated
that cell junctions were fully differentiated and the epithelial barrier was fully functional,
cells were exposed to aerosolized Cinnamon, Tobacco (2 brands), and Menthol (2 brands)
flavored e-liquids. ABB integrity was significantly affected by exposure to aerosolized
Cinnamon and one brand of Menthol flavored e-liquids. The aerosolized Cinnamon flavored
e-liquid appeared to affect barrier integrity via reduced viability of ABB cells, whereas the
aerosolized Menthol flavored e-liquid appeared to have acted via loss of cell junction
integrity (Bengalli et al., 2017). In contrast, Czekala et al. exposed EpiAirway
human lung
3D tissue model to aerosolized Blueberry flavored e-liquid and reported that it did not alter
tissue barrier function compared with aerosolized unflavored e-liquid (Czekala et al., 2019).
Other investigators have focused on the impact of flavoring chemicals on epithelial barrier
function. Results of one study indicated that diacetyl, coumarin, acetoin, maltol, and
cinnamaldehyde significantly impaired HBE cell barrier function over time (Gerloff et al.,
2017). Another study reported that 2,5-dimethylpyrazine disrupted mouse tracheal epithelial
cell barrier function (Sherwood & Boitano, 2016).
Cellular Ca
2+
levels help to maintain epithelial lung cell homeostasis (and modulate immune
cell activation) and control the initiation and persistence of inflammation. Levels of Ca
2+
are
modulated using cellular pumps, receptors, and channels but activation of these Ca
2+
signaling pathways by exogenous substances such as flavored e-liquids could alter cell
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function, which may result in chronic inflammation or abnormal cell growth (Rowell et al.,
2020). To evaluate the effects of flavored e-liquids on Ca
2+
signaling, Clapp et al. exposed
CALU3 human lung epithelial cells to 100 flavored e-liquids; 42 of these products elicited a
cellular Ca
2+
response. Modeling indicated that the response to e-liquids was associated with
the number of flavoring in products; ethyl maltol, ethyl vanillin, and vanillin were major
contributors to responses. One product, Banana Pudding flavored e-liquid was selected as a
representative for further testing and it increased cytosolic Ca
+2
, induced endoplasmic
reticulum Ca
+2
release, and increased total inositol phosphate production in CALU3, HBE,
and HEK cells. Next, CALU3 lung epithelial cells were directly exposed to aerosolized
Banana Pudding flavored e-liquid that caused a persistent increase in cytosolic Ca
2+
. Based
on their data, the authors concluded that: 1) multiple flavored e-liquids affect cellular Ca
2+
homeostasis independent of nicotine; and, 2) the more chemicals that a flavored e-liquid
contained, the more it affected Ca
2+
signaling. This latter conclusion is consistent with other
studies that observed increased toxicity responses were associated with the number of
flavorings in e-liquids (Bahl et al., 2012; Sassano et al., 2018).
Szafran et al. exposed female C57BL/6 mice to filtered air, 70%/30% VG/PG humectant
mixture, or 70%/30% VG/PG mixture with vanilla flavoring. In that study, mice exposed to
VG/PG with vanilla flavoring exhibited (at a methacholine challenge dose of 25 mg/mL)
increased lung tidal volume and minute volume and increased maximum tissue damping
(indicator of lung tissue resistance). Exposure to the VG/PG humectant mixture and VG/PG
mixture with vanilla flavoring did not yield significantly different numbers of innate immune
alveolar macrophage, interstitial macrophage, or neutrophil cells compared with air exposed
controls, though exposed mice had increased counts of adaptive immune response dendritic,
CD4+ T, and CD19+ B cells. Levels of IgG1 and IgG2b were not altered in serum or BALF
from animals exposed to the VG/PG mixture; however, there was a significant increase in
IgG1 levels in the BALF of animals exposed to VG/PG mixture with vanilla flavoring
compared with air controls. There was an increase in the lung immune lipid mediators 2-
arachidonoylglycerol and in 12-hydroxyeicosatetraenoic acid independent of vanilla
flavoring. Collectively, their results suggested that PG/VG humectant, with and without
vanilla flavoring, can disrupt immune homeostasis (Szafran et al., 2020).
7.2. Cardiovascular and circulatory systems
Among the target organs covered in this review, only the cardiovascular and circulatory
systems have been studied using
in vitro
,
in vivo
, and human models. In the first study to
investigate the effects of flavored e-liquids on the cardiovascular system, Farsalinos et al.
screened 20 products for cytotoxic potential
in vitro
using H9c2 myocardial fibroblast cells
and an early generation low voltage e-cigarette. At 6.2 W power, only aerosolized Cinnamon
and Cookies flavored e-liquid was cytotoxic at the highest tested concentration.
Subsequently, a subset of the flavored e-liquids was aerosolized using an e-cigarette and the
authors reported that aerosols produced at 6.2 W or 9.2 W were not cytotoxic to myocardial
fibroblasts (Farsalinos et al., 2013).
Smoking regular tobacco cigarettes is known to cause endothelial dysfunction, which is a
predictor of increased cardiovascular disease risk (Fetterman et al., 2018). Endothelial
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dysfunction is an umbrella term that includes dysregulation of endothelial cell functions,
alterations in cellular tube formation, and impacts on blood vessel formation (angiogenesis).
Investigators have begun to ask whether the use of e-cigarettes may also be associated with
endothelial cell damage leading to endothelial dysfunction. Putzhammer et al. evaluated the
toxicity of 11 different flavored e-liquids that were aerosolized by first and second
generations of e-cigarettes. Using human umbilical vein endothelial cells, the authors
reported that aerosolized Berry and Herbal flavored e-liquids were highly cytotoxic,
significantly reduced cellular proliferation, caused morphological alterations, and disrupted
the endothelial monolayer, but did not generate appreciable intracellular ROS. The authors
concluded that e-cigarette device was an important factor in observed outcomes because the
highest toxicity of all tested e-liquids was from refillable second generation e-cigarettes and
first generation disposable e-cigarette products seemed to be less toxic (Putzhammer et al.,
2016). Unfortunately, it was unclear if the same e-liquid formulations were used in all
devices, which partially obscures this possible relationship between e-cigarette device and
toxicity. Nystoriak et al. exposed human induced pluripotent stem cell (hiPSC)-derived
cardiac myocytes (muscle cells)
in vitro
to liquid cinnamaldehyde flavoring or to heated
cinnamaldehyde flavoring and its thermal degradation products at conditions intended to
mimic use in e-cigarettes. Liquid cinnamaldehyde flavoring altered hiPSC-MC contraction-
dependent signal amplitude, beating rate, and cell morphology at non-cytotoxic
concentrations, and with prolonged exposure caused time-dependent dysregulation of cell
membrane potential. Interestingly, when hiPSC-MC were exposed to heated
cinnamaldehyde aerosol, the observed effects were attenuated. Based on these observations,
the authors suggested that heating cinnamaldehyde by itself did not directly lead to the
formation of products with greater cardiotoxicity and therefore, testing a diluted e-liquid
in
vitro
may not be as informative as testing the aerosolized form (Nystoriak et al., 2019).
Nitric oxide (NO) is a signaling molecule in the cardiovascular system. The loss or
impairment of NO signals and release of IL-6 may yield inflammatory conditions that result
in vascular dysfunction and atherosclerotic plaque formation. Fetterman et al. evaluated the
in vitro
toxicity of nine flavorings (vanillin, menthol, cinnamaldehyde, eugenol,
dimethylpyrazine, diacetyl, isoamyl acetate, eucalyptol, and acetylpyrazine) on human aortic
epithelial cells (Fetterman et al., 2018). When heated, all tested flavorings impaired NO
production, possibly via ROS scavenging of NO, which suggested they could induce
endothelial cell dysfunction. Additionally, many of the flavorings upregulated IL-6, a
proinflammatory cytokine. Lee et al. used iPSC-derived endothelial cells (ECs) to assess the
potential impact of six flavored e-liquids on endothelial integrity (Lee et al., 2019). In this
study, Menthol and Cinnamon flavored e-liquids significantly decreased iPSC-EC viability
via increased caspase 3 and caspase 7 activity and shortened tube formation, the latter which
is relevant to angiogenesis. Butterscotch, Menthol, and Cinnamon flavored e-liquids
generated the highest levels of intracellular ROS, a widely implicated risk factor in
endothelial injury. Cinnamon and Caramel/Vanilla flavored e-liquids increased uptake of
low-density lipoproteins and free fatty acids by iPSCECs, which demonstrated a link
between the onset of cellular inflammation and impaired endothelial function. Noël et al.
reported that consumers can purchase “e-concentrates” that consist of concentrated PG or
flavorings to dilute and mix their own desired flavored e-liquid at home. The authors
analyzed 34 flavored e-concentrates and 21 flavored e-liquids for their ingredients and tested
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the cytotoxicity for subset of identified flavoring ingredients using human umbilical vein
endothelial cells. Cinnamaldehyde, cinnamaldehyde PG acetal, vanillin, limonene, eugenol,
estragole, and anethole flavorings were all cytotoxic, with cinnamaldehyde being the most
potent (Noël, Rainer, Gstir, Rainer, & Bonn, 2020). Collectively, these studies indicate that
certain flavored e-liquids and flavoring chemicals may cause endothelial dysfunction similar
to smoking regular tobacco cigarettes.
One study attempted to reveal the effects of e-cigarettes on the redox state of a human
endothelial cell line (EA.hy926 cells) using three Tobacco flavored, two Apple/Mint
flavored, and two Vanilla flavored e-liquids (Kerasioti et al., 2020). All flavored e-liquids
were cytotoxic to EA.hy926 cells. Next, the authors evaluated the effects of these e-liquids
on redox biomarkers: one Vanilla flavored and one Apple/Mint flavored e-liquid increased
GSH (reduced form of glutathione) levels; all Tobacco and one Vanilla flavored e-liquid
increased ROS production and thiobarbituric acid reactive substance levels; none of the
flavored e-liquids influenced total antioxidant capacity or protein carbonyl levels. Overall,
the results demonstrated an alteration in cellular redox balance in favor of free radicals in
Tobacco and Vanilla flavored e-liquids whereas the Apple/Mint flavored e-liquids appeared
to activate cellular antioxidant defenses to protect cells.
Berkelhamer et al. evaluated the effect of flavored e-liquids on fetal, neonatal, and adult lung
artery smooth muscle cells. This
in vitro
study revealed that Menthol and Strawberry
flavored e-liquids induced cytotoxicity in all smooth muscle cells; neonatal cells were most
sensitive to Menthol flavoring-induced cytotoxicity. The authors also evaluated changes in
vasoreactivity using isolated ovine pulmonary arteries – Menthol flavored e-liquid induced
relaxation of adult, but not neonatal, pulmonary artery cells (Berkelhamer et al., 2019).
The cardiovascular effects of flavored e-liquids have been studied
in vivo
using mouse and
rat models (Table 3). In the only
in vivo
study to evaluate JUUL® e-liquids, Rao et al.
exposed male and female Sprague-Dawley rats via nose-only inhalation to aerosol from a
JUUL® pod mod e-cigarette with Virginia Tobacco flavored e-liquid (nicotine salt), aerosol
from an earlier generation tank-style e-cigarette with unflavored e-liquid (freebase nicotine),
and smoke from a regular tobacco cigarette. All exposures impaired endothelial function,
assessed as arterial flow-mediated dilation, which is a measure for overall cardiovascular
health; differences were not significant among exposures. Rats exposed to JUUL® aerosol
had higher serum nicotine compared with rats exposed to the same number of puffs from a
tank-style e-cigarette or tobacco cigarette. Serum cotinine levels were comparable between
rats exposed to JUUL® aerosol and tobacco cigarette smoke (Rao, Liu, & Springer, 2020).
The JUUL® e-liquid differed in PG/VG content and the amount and form of nicotine
compared with the tank-style e-cigarette,
whichprecludedanydefinitiveconclusiononthespecificroleofflavoring in explaining the
observed responses. Werley et al. exposed Crl:CD(SD) rats via nose-only inhalation to
aerosolized flavored e-liquid (specific flavor not identified) and to aerosolized unflavored e-
liquid with the same composition. The authors reported there were no differences in plasma
nicotine and cotinine levels between exposures, which suggested little influence of e-liquid
flavor on nicotineuptake (Werley et al., 2016); however, missing information on the specific
flavoring(s) in the e-liquid limits the certainty of this conclusion. In another
in vivo
study,
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Conklin et al. investigated potential biomarkers that could be used to differentiate e-cigarette
exposure from other tobacco product exposure such as regular tobacco cigarette smoke. The
authors exposed male C57BL6/J mice via whole body inhalation to aerosolized flavored e-
liquids and their thermal aldehyde degradation products. One-hour post exposure, urinary
excretion of the acrolein metabolite 3-hydroxypropyl mercapturic acid and nicotine alkaloids
were significantly higher for mice that inhaled aerosolized Magnificent Menthol flavored e-
liquid compared with aerosolized Classic Tobacco flavored e-liquid (Conklin et al., 2018).
Szostak et al. exposed female ApoE−/− mice via whole body inhalation to aerosolized
laboratory prepared e-liquid that contained guaiacol and other unspecified flavorings and to
aerosolized non-flavoring e-liquid constituents. There was no difference in atherosclerosis
progression, cardiovascular function, and molecular changes in the heart and aorta for the
aerosolized e-liquid that contained guaiacol compared with the aerosolized non-flavoring
constituents (Szostak et al., 2020).
Flavorings in e-liquids may influence nicotine pharmacokinetics from e-cigarettes and
enhance the reward sensation from vaping. Given these potential impacts of flavor, the effect
of flavored e-liquids on nicotine uptake in humans has been evaluated by researchers using a
cross-over study design with diverging results. In the first study, 24 male human volunteers
aerosolized a Menthol flavored e-liquid or an unflavored e-liquid with the same humectant
and nicotine composition using a first-generation e-cigarette. Participants that aerosolized
the unflavored e-liquid had significantly higher maximum plasma nicotine concentration and
nicotine uptake (area under the curve) compared with those who aerosolized the Menthol
flavored e-liquid, which indicated that the presence of Menthol decreased nicotine uptake or
elimination from body (Walele, Sharma, Savioz, Martin, & Williams, 2016). In the other
cross-over study, 11 males and three females aerosolized Strawberry or Tobacco flavored e-
liquids. For a defined puff regimen, participants that aerosolized Strawberry flavored e-
liquid had higher nicotine uptake and increased heart rate compared with those who
aerosolized Tobacco flavored e-liquid. When permitted to vape
ad libitum
, participants that
aerosolized Strawberry flavored e-liquid had higher plasma nicotine concentration and
nicotine uptake compared with those who aerosolized Tobacco flavored e-liquid. Based on
these findings, the authors suggested that differences in nicotine uptake were attributable to
the less basic pH of the Strawberry flavored e-liquid (pH 8.3) compared with the Tobacco
flavored e-liquid (pH 9.1) (St Helen, Dempsey, Havel, Jacob 3rd, & Benowitz, 2017). Given
the limited number of flavors tested to date, a firm conclusion cannot yet be made with
regards to the impact of aerosolized flavorings on nicotine pharmacokinetics of e-cigarette
users. Buchanan et al. have reviewed preclinical and clinical data on the cardiovascular
effects of e-cigarettes and the reader is referred to that article for more information on the
topic (Buchanan et al., 2020).
7.3. Developmental effects
Smoking regular tobacco cigarettes is a preventable cause of adverse pregnancy outcomes
such as increased risk of low birth weight, underdevelopment of organs, congenital
anomalies, preterm birth, and other effects (Greene & Pisano, 2019). Pregnant women and
women of reproductive age are increasingly using e-cigarettes as an alternative to regular
tobacco cigarettes based on the premise that they pose less risk for adverse developmental
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effects (Greene & Pisano, 2019). A recent National Academies of Sciences, Engineering,
and Medicine report concluded that there was “no available evidence” as to whether or not
e-cigarettes affect pregnancy outcomes and there was “insufficient evidence” with regard to
whether or not maternal e-cigarette use affects fetal development (Greene & Pisano, 2019).
These conclusions were based on available literature at the time of their report and future
research findings may necessitate revisiting these conclusions.
At the time of our literature search, mainly
in vitro
studies were available that implied risk of
developmental toxicity of flavorings in e-liquids. Several
in vitro
studies indicated that
flavored e-liquids and specific flavoring ingredients in the form of bulk e-liquid or aerosol
generated by an e-cigarette were cytotoxic to neural stem cells and that cytotoxicity was
higher for stem cells compared with adult differentiated cells (Bahl et al., 2012; Behar,
Davis, Wang, et al., 2014; Behar et al., 2016; Behar, Wang, & Talbot, 2018; Atena Zahedi et
al., 2019). It is important to note that cytotoxicity to stem cells is only an indirect indicator
of possible developmental toxicity. Further, exposure pathway is an important study design
consideration because embryonic cells would not be exposed directly to diluted e-liquid or
inhaled aerosol.
One study evaluated the developmental impact of flavored e-liquids on bronchodilation of
neonate and adult lung bronchial ring tissue (Berkelhamer et al., 2019). The authors reported
that Menthol, Strawberry, Tobacco, and Vanilla flavored e-liquids induced bronchodilation
of neonatal but not adult bronchial rings and suggested that newborns and infants that inhale
secondhand flavored e-cigarette aerosols could be at risk of exaggerated exposure to a higher
concentration of aerosol constituents compared with adults because of their increased
delivery to the alveoli through dilated airways. Note that Berkelhamer et al. exposed
bronchial ring tissue to diluted e-liquid that has chemical properties that differ from primary
aerosol inhaled by an e-cigarette user, which in turn, differs from secondhand aerosol
exhaled by a user (Marco & Grimalt, 2015; Pankow, Kim, Luo, & McWhirter, 2018;
Papaefstathiou, Bezantakos, et al., 2020; Samburova et al., 2018) so any definitive link
between induced bronchodilation and secondhand exposure to newborns and infants is yet to
be determined.
One
in vivo
study reported that pregnant and neonate C57BL/6 mice exposed via whole-
body inhalation to Tobacco flavored e-liquids with and without nicotine experienced
significant reductions in hippocampal gene expression as well as in serum levels of IL-1b,
IL-2, and IL-6 cytokines, which indicated risk to the developing nervous system; however,
mice were not exposed to a flavoring-free e-liquid so it was unknown if flavorings
influenced the observed effects (Zelikoff et al., 2018). More information on neurotoxicity of
e-cigarettes in general can be found in a recent review (Ruszkiewicz et al., 2020).
Finally, it is important to note that the current review is focused on flavored e-liquids though
so studies that focused only on unflavored e-liquids were beyond our scope. As reviewed by
Greene & Pisano, there is evidence that pregnant mice exposed to aerosolized e-liquid with
and without nicotine had increased pro-inflammatory cytokines in the lungs of their
offspring and altered neurodevelopment, which suggested that they were induced by other
components of the aerosol than nicotine. Another study reported that offspring of mice
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exposed to aerosol generated from an e-liquid without nicotine had abnormal levels of
neuroregulatory gene expression, which suggested disturbancesin central metabolic
regulation in offspring (Greene & Pisano, 2019). Whether the non-nicotine components
responsible for these reported developmental effects were from exposure to flavorings is
unknown. More information on the developmental toxicity of e-cigarettes in general can be
found in a recent review article (Greene & Pisano, 2019).
7.4. Skeletal system
Use of e-cigarettes with flavored e-liquids is highly prevalent among middle and high school
students and adults under 35 years (see Section 5.1). This age range is a critical time for
skeletal development because more than half the human skeleton is formed during teenage
years and peak bone mass is reached by the late teens to mid-thirties (Otero et al., 2019;
Wavreil & Heggland, 2020). Osteoblasts are bone-forming cells that play an essential role in
the mineralization of bone and the production of collagen type I, a major structural
component of bone extracellular matrix. Inhalation of regular tobacco smoke is a risk factor
for osteoporosis, and the Heggland laboratory questioned whether flavored e-liquids would
also impair bone health. In their first study, they treated human MG-63 and Saos-2
osteoblast-like cells with diluted flavored e-liquids with or without nicotine (Otero et al.,
2019). Exposure to e-liquids induced dose-dependent cytotoxicity independent of nicotine
content; unflavored e-liquids were the least cytotoxic, followed by coffee and fruit flavored,
menthol, and cinnamon flavored e-liquids (most cytotoxic). Next, the authors evaluated
mRNA expression of two key osteoblast genes, RUNX2 and Col1a1, in MG-63 cells.
Exposure to Irish Latte, Mango Blast, and Sweet Melon flavored e-liquids upregulated the
expression of Col1a1 mRNA (but not RUNX2), which demonstrated the ability of some
flavored e-liquids to alter osteoblast gene function. Mango Blast flavored e-liquid with or
without nicotine significantly increased collagen type I protein expression. Next, the
Heggland laboratory evaluated in more detail the capacity of diluted and aerosolized
cinnamon flavored (Napalm, Cinn Candy) e-liquids to induce osteotoxicity (Wavreil &
Heggland, 2020). Exposure to aerosolized Napalm and Cinn Candy flavored e-liquids
induced significant cytotoxicity in MG-63 cells but did not alter collagen type I protein
expression. MG-63 cells exposed to cinnamon flavored e-liquids or aerosolized cinnamon
flavored e-liquids exhibited significantly increased ROS production. Collectively, results
from these studies indicated that coffee, fruit, menthol, and cinnamon flavored e-liquids
were cytotoxic and/or had capacity to alter Col1a1 gene expression in osteoblast-like cells.
The capacity of cinnamon flavored e-liquids to induce cytotoxicity may be related to
oxidative stress. In a study funded by the tobacco cigarette industry, Reumann et al. reported
the only
in vivo
data on the effects of aerosolized flavored e-liquids on skeletal health. In
this study, female mice were exposed via whole body inhalation to tobacco smoke,
aerosolized humectants, aerosolized humectants with acids and nicotine, and aerosolized
humectants with acids and nicotine and flavorings (not specified). Exposure to tobacco
smoke and all variations of e-liquid constituents caused development of microcracks in
cortical areas of bones, which suggested ongoing bone remodeling and potential reduction of
bone stability (Reumann et al., 2020). Whether these findings have implications for people is
unknown.
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Another potential impact of sweet flavored e-liquids on the skeletal system is their
cariogenic (cavity) potential in teeth. Kim et al. prepared e-liquids composed of humectants
and nicotine with ethyl butyrate (pineapple), ethyl maltol (cotton candy), hexyl acetate
(apple), and triacetin (velvety/smoky) flavorings or without flavoring chemicals.
Streptococcus mutans
(UA159) were exposed to aerosolized e-liquids on tooth enamel from
donor teeth, which led to a two-fold increase in biofilm formation and up to a 27% decrease
in enamel hardness compared with aerosolized unflavored e-liquids. Additionally,
aerosolized flavored e-liquids that contained ethyl butyrate, hexyl acetate, and triacetin were
associated with bacteria-initiated demineralization of enamel and ethyl maltol inhibited
Streptococcus mutans
growth and adhesion. The authors concluded that aerosolized e-
liquids with these sweet flavoring chemicals had similar physiochemical properties as high-
sugar gelatinous candies and acidic drinks and could increase cariogenic potential (Kim et
al., 2018).
7.5. Allergenicity and irritation
The exact number of flavoring chemicals used in e-liquids is unknown, though one study
reported that at least 210 distinct flavorings were used to create over 16,000 flavored e-
liquids (Krusemann et al., 2021). Given the vast number of flavorings that are inhaled into
the body and the potential for dermal exposure among e-cigarette users and those who work
in vape shops and e-liquid production that handle e-liquids, it was somewhat surprising that
only one study was identified that evaluated the allergenicity of e-liquids. In a study by the
tobacco cigarette industry, Stevenson et al. used the Genomic Allergen Rapid Detection
(GARD) testing strategy to predict and compare the potential of two commercial flavored e-
liquids (Blu Cherry and an unspecified flavored product) and laboratory-prepared unflavored
e-liquids to induce respiratory or skin sensitization (Stevenson et al., 2019). This testing
strategy consisted of assays that measured changes in the transcriptional profiles of 200
genomic biomarkers that were relevant to respiratory (type I immediate IgE-mediated
hypersensitivity) or dermal (type IV delayed cell-mediated type hypersensitivity)
sensitization and a predictive model to classify substances. Based on the GARD assays,
none of the flavored e-liquids were classified as respiratory sensitizers; however, both the
Blu Cherry and the unspecified flavored e-liquids were classified as weak dermal sensitizers
under European regulatory requirements. Some flavorings are known allergens; however, it
is largely unknown if these pure flavoring chemicals can induce sensitization as a
component of an e-liquid mixture (Stevenson et al., 2019). An important outcome of the
research by Stevenson et al. was the demonstration that the GARD assays, originally
developed to assess the sensitization potential of pure chemicals, showed promise to
differentiate and broadly classify flavored e-liquid mixtures with regards to their capacity to
induce sensitization. Additionally, in one study, it was reported that the average number of
flavoring chemicals per flavored e-liquid was 10 (Krusemann et al., 2021), which indicated
the potential for mixture effects and possible cross-reactivity among chemicals that share
similar molecular structures. Hence, while application of the GARD assay to two flavored e-
liquids showed initial promise, much work is needed to fully understand its applicability for
widespread screening of complex e-liquids for sensitization capacity.
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Asthmatics who smoke regular tobacco cigarettes are susceptible to the effects of inhaled
substances during smoking and are known to have worse asthma control, need more
unscheduled healthcare visits, and require greater medication (Chapman et al., 2019).
Despite this association, little information exists on the effect of e-cigarette use on
asthmatics. To address this knowledge gap, Chapman et al. exposed male and female Balb/c
mice to house dust mite allergen and aerosolized flavored e-liquids over a period of 21 days.
The number of macrophages in bronchial alveolar lavage fluid (BALF) was elevated in mice
exposed to house dust mite and aerosolized Black Licorice flavored e-liquid (but not Kola,
Banana Pudding, or Cinnacide aerosolized e-liquids) without nicotine. Exposure to
aerosolized Black Licorice, Banana Pudding, and Cinnacide flavored e-liquids with 12
mg/mL nicotine suppressed macrophage and eosinophil cell counts compared with control
(Kola product not tested). House-dust-mite-induced airway hyperresponsiveness was not
altered by exposure to any aerosolized flavored e-liquid regardless of the presence or
absence of nicotine. Only inhalation of aerosolized nicotine-free Banana Pudding flavored e-
liquid altered airway remodeling as determined by measurement of soluble lung collagen
content. Collectively, these results indicate that aerosolized flavored e-liquids without
nicotine had significant but varied effects on features of allergic airways disease. This
conclusion was important given the appeal of flavored e-liquids to youth (see Section 5.1)
and the association between ever or current e-cigarette use and asthma in teenagers (Wills,
Choi, & Pagano, 2020).
Non-immunologic responses to flavored e-liquids or flavoring chemicals may include
respiratory irritation, which often serves as a sentinel warning of potential toxicity of an
inhaled chemical. Irritation is manifest as responses from chemical activation of
chemosensory receptors in airway-innervating nerves (Erythropel et al., 2019). The transient
receptor potential ion channels, TRPA1 and TRPV1, are receptors for irritant aldehydes in
the airways. TRPA1 is the major aldehyde-activated receptor that is activated by acrolein (an
abundant aldehyde in tobacco cigarette smoke) as well as flavoring aldehydes such as
cinnamaldehyde, benzaldehyde, and vanillin used in e-liquids. TRPV1, the vanilloid
receptor, may also contribute to irritant effects from flavorings because it is activated by
vanillin-related compounds such as capsaicin but responds poorly to free aldehydes
(Erythropel et al., 2019). In one study, human embryonic kidney cells (HEK-293T) were
transiently transfected with either human TRPA1 or TRPV1 plasmid DNA to express these
respiratory cell irritation receptors. Next, commercial Vanilla (contained vanillin and
ethylvanillin) and Cherry (contained benzaldehyde) flavored e-liquids were characterized for
in situ
formation of their PG acetals over time and laboratory prepared mixtures of
benzaldehyde, cinnamaldehyde, citral, ethylvanillin, and vanillin were reacted with PG to
form acetals. The flavored e-liquids and flavoring/PG mixtures were aerosolized using a
first-generation e-cigarette and the PG acetals were observed to be stable, which indicated
that a significant proportion of aldehyde PG acetals can reach the airways of e-cigarette
users. Further characterization revealed that the PG acetals were stable in simulated lung
fluid for days. All flavorings and their PG acetals activated the aldehyde-sensitive TRPA1
irritant receptors on HEK-293T cells. As expected, the free aldehydes benzaldehyde,
ethylvanillin, and vanillin only weakly activated TRPV1 receptors at higher tested
concentrations. Interestingly, their corresponding PG acetals provoked a robust activation of
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TRPV1 receptors at lower concentrations. Based on these data, the authors concluded that 1)
aldehyde flavoring PG acetals are formed
in situ
in flavored e-liquids and persist when an e-
liquid is aerosolized; 2) these PG acetals have the capacity to induce a stronger irritation
response compared with the free parent aldehyde alone; 3) PG acetals may produce stronger
sensory irritation effects than the free aldehydes alone; and 4) that the toxicological
properties of PG acetals differed from the parent aldehyde flavorings and e-liquid
constituents. The authors advocated for a standard approach to detect and characterize newly
formed compounds in flavored e-liquids and their aerosol to assess toxicological effects
(Erythropel et al., 2019).
7.5. Genotoxicity
Tobacco cigarette smoking is associated with various cancers of the body (U.S. Department
of Health and Human Services, 2014). Based on this association, multiple research groups
have evaluated the genotoxic potential of flavored e-liquids (Al-Saleh et al., 2020; Behar et
al., 2016; Misra et al., 2014; Menicagli et al., 2020; Welz et al., 2016). Misra et al. were the
first to evaluate genotoxicity and they used an
in vitro
micronucleus assay. This assay
measures chromosome damage based on the cytokinesis-block technique. Briefly, this assay
quantifies inhibition of actin filaments by cytochalasin B during cytokinesis and the
formation of “daughter” cells to distinguish between undivided cells and cells that
completed nuclear division (Kirsch-Volders et al., 2011). In the study by Misra et al., neither
Classic Tobacco nor Magnificent Menthol flavored e-liquids were genotoxic in Chinese
hamster ovary (CHO) cells. Behar et al. evaluated the genotoxicity of aerosolized
cinnamaldehyde flavoring in a laboratory prepared e-liquid using the Comet assay. In this
assay, cells are lysed, suspended in gel, and placed in an electrophoresis chamber. When an
electrical field is applied to the chamber, intact cellular DNA remains stationary but
damaged DNA migrates in the gel, which results in a figure shaped like a comet (i.e.,
undamaged DNA in the head and damaged DNA forming the tail). The extent of migration
can be characterized as the percentage of DNA in the tail and olive tail moments (Welz et al.,
2016). The percentage of tail DNA in the gel is a measure of the relative fluorescent
intensity in the head compared with the tail. Olive tail moments represent the product of the
relative amount of DNA that migrated in the gel and the median migration distance. The
percentage DNA in the tail is a more robust indicator that enables inter-comparison of study
data, whereas olive tail moments may not be comparable between studies (Welz et al.,
2016). Results of Comet assays revealed that the percentage of cells with comet tails, comet
tail length, and olive tail moments were significantly increased from exposure to aerosolized
cinnamaldehyde flavoring at non-cytotoxic concentrations in HESC and HPF cells, but not
A549 lung cells. When the cell culture media that contained cinnamaldehyde was replaced
with fresh media, levels of genotoxic markers in HESC and HPF cells returned to baseline
levels within 24 hours (Behar et al., 2016). Welz et al. noted that head and neck squamous
cell cancer (HNSCC) is the seventh most common cancer worldwide and regular tobacco
smoking was an important risk factor for developing HNSCC. Hence, this group evaluated
the mutagenicity of two fruit flavored (Apple, Cherry) e-liquids and one Tobacco flavored e-
liquid in oropharyngeal mucosa tissue cultures. DNA fragmentation assessed using the
Comet assay was significantly increased in oropharyngeal tissue upon incubation with Apple
and Cherry, but not Tobacco, flavored e-liquids. Based on their mutagenicity data, they
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concluded that some flavored e-liquids may present risk for development of HNSCC (Welz
et al., 2016). In another study of HNSCC, Tsai et al exposed the Ca9-22 oral gingival
squamous carcinoma cell line and CAL-27 human tongue squamous cell line to Cinnamon
Red Hots (contains cinnamaldehyde) or Apple Juice flavored e-liquids with and without
nicotine (Tsai et al., 2020). For Ca9-22 oral gingival cells, exposure to Cinnamon Red Hots
flavored e-liquid increased invasiveness (measured as cell movement through a microporous
membrane toward a chemoattractant in a Boyden chamber) with or without nicotine whereas
exposure to Apple Juice flavored e-liquid decreased cell invasion independent of nicotine.
For CAL-27 tongue cells, Cinnamon Red Hots flavored e-liquid decreased cell invasion with
or without nicotine but for Apple Juice flavored e-liquid there was no difference with or
without nicotine compared with control. Overall, these data indicated a flavor-dependent
effect on the regulation of cell invasion in different squamous cell lines. RAGE, a pattern-
recognition cell-surface receptor thought to be involved in the invasion of oral squamous cell
carcinoma, was measured using immunofluorescence. Briefly, cells are incubated with an
antibody against RAGE, the nuclei counterstained, and the cells evaluated by fluorescence
microscopy. RAGE was increased in Ca9-22 cells and CAL-27 exposed to both flavored e-
liquids and further potentiated by the presence of nicotine. For Ca9-22 oral gingival cells,
both flavored e-liquids increased secretion of IL-1α levels but only Apple Juice flavored e-
liquid increased IL-8 secretion; the presence of nicotine attenuated cytokine levels. For
CAL-27 cells, both flavored e-liquids increased secretion of IL-1α, but IL-8 levels were only
increased by Apple Juice flavored e-liquid.
Al-Saleh et al. evaluated 33 brands of flavored e-liquids, nearly all of which contained
quantifiable levels of menthol flavoring. Several brands of e-liquids that contained menthol
flavoring induced DNA damage as measured by tail movement (Comet assay) in CHO and
TK6 (spleen) cells. The concentration of menthol flavoring in the e-liquids was positively
correlated with DNA damage in CHO cells. Additionally, several brands of e-liquids that
contained menthol flavoring induced chromosome breakage in TK6 cells (micronucleus
assay) (Al-Saleh et al., 2020). Pearce et al. characterized the metals content and evaluated
the genotoxicity of aerosolized JUUL® Fruit Medley flavored e-liquid (no longer sold) and
two nicotine-containing e-liquids from first generation e-cigarettes. All aerosolized e-liquids
induced single strand DNA breaks in HBE cells; aerosolized JUUL Fruit Medley and
aerosolized first generation Logic Power e-cigarette nicotine e-liquids induced highest levels
of DNA damage (Pearce et al., 2020). As noted in Section 7.1.2, effects were not compared
with aerosolized humectant-only e-liquid exposures nor aerosolized nicotine-free e-liquid
exposures, which precludes a clear relationship between any effects of flavorings on
genotoxicity. Tang et al. exposed male FVB/N mice via whole-body inhalation to an e-liquid
composed of PG/VG with nicotine; compared with controls (PG/VG vehicle only or filtered
room air) mice exposed to the aerosolized e-liquid developed lung adenocarcinoma and
bladder urothelial hyperplasia, which indicated that the e-liquid was genotoxic and acted as a
lung carcinogen and a potential bladder carcinogen (Tang et al., 2019). Whether flavorings
can influence the genotoxicity associated with development of lung adenocarcinoma and
bladder urothelial hyperplasia is yet to be evaluated. In the only human study of
genotoxicity, Menicagliet al. reported that volunteers who used a tobacco-flavored e-liquid
without nicotine had significantly higher levels of micronucleus formation in oral buccal
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cells compared with air-exposed controls, which suggested a possible pathway for risk of
oral cancers (Menicagli et al., 2020).
Collectively, these
in vitro
studies suggest a role for flavored e-liquids and cinnamaldehyde
and menthol flavorings in genotoxic or mutagenic responses in several cell models. Only one
study, that of Behar et al. (2016), exposed cells (HPF and HESC) to aerosolized flavoring,
whereas the other investigators exposed cells to diluted flavored e-liquids. The potential for
most cells to be directly exposed to bulk e-liquid is likely low (with the exceptions of
accidental or intentional ingestion and contact with the skin). While screening for toxicity
using diluted e-liquids has predictive value (Behar, Wang, & Talbot, 2018), future studies
should also include exposure pathways that more closely reflect actual e-cigarette use
conditions and expand the literature beyond fruit, tobacco, menthol, and cinnamon flavors to
include other categories in the e-liquid flavor wheel such as dessert, coffee/tea, spices, etc.
(Krüsemann, Boesveldt, de Graaf, & Talhout, 2019).
7.6. Skin toxicity
Dermal exposure to tobacco cigarette smoke is associated with decreased wound healing,
skin cancer, psoriasis, eczema, and premature skin aging (Prieux, Eeman, Rothen-
Rutishauser, & Valacchi, 2020); however, the effects of e-cigarette aerosol on the skin is
largely unknown. In one of the earliest toxicology studies of e-cigarettes, Cervellati et al.
investigated the effects of aerosolized Balsamic flavored e-liquid on HaCaT skin cells.
Exposure increased LDH release in a time-dependent manner, which indicated cell damage;
aerosolized unflavored e-liquid showed no effects. The morphology of cells exposed to
aerosolized Balsamic flavored e-liquid exhibited increased vacuolization and alteration of
cytoplasmic membrane that was not observed for aerosolized unflavored e-liquid. Finally,
exposure to aerosolized Balsamic flavored e-liquid increased release of IL-8 and IP-10 but
suppressed release of IL-6 (Cervellati et al., 2014). Note that in this study, the authors
directly exposed skin cells to aerosolized flavored e-liquids that was reflective of
mainstream aerosol inhaled into the respiratory tract, not secondhand aerosol that would
contact the external layer of the skin or metabolized aerosol that would interact with the
internal layers of the skin.
8. Toxicology of e-cigarette, or vaping, product use associated lung injury
(EVALI)
The United States experienced an outbreak of lung injuries, later termed EVALI, that began
in 2019, and as of February 20, 2020 had resulted in 2,807 hospitalizations and caused 68
deaths. The median age of patients (based on data as of January 14, 2020) was 24 years and
nearly two thirds were male (www.cdc.gov/EVALI). There were 2,022 hospitalized patients
who had data on substance use as of January 14, 2020; 82% reported using Δ
9
-THC-
containing products, 33% reported exclusive use of Δ
9
-THC-containing products; 57%
reported using nicotine-containing products, and 14% reported exclusive use of nicotine-
containing products (www.cdc.gov/EVALI). Our literature searches for this review identified
33 peer-reviewed articles on EVALI for inclusion, though the vast majority (22/33) lacked
toxicological data. Six articles provided results of e-liquid or constituent characterization or
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hypothesized an underlying toxicological mechanism for EVALI (Attfield et al., 2020;
Blount et al., 2020; Chand et al., 2019; Muthumalage et al., 2020; Narimani & da Silva,
2020; Wu & O’Shea, 2020). Four articles evaluated the toxicity of common cannabis extract
diluents on lung cells (Bhat et al., 2020; Jiang et al., 2020; Matsumoto et al., 2020;
Muthumalage et al., 2020) and one article reported an EVALI-like condition in rat lungs
from exposure to an e-liquid that did not contain Δ
9
-THC, VEA, or nicotine (Kleinman et
al., 2020). For a detailed review of
in vivo
studies of EVALI, the reader is referred to a
recent review article (Feldman, Stanton, & Suelzer, 2021).
8.1. Possible causative agents
Approximately two years prior to the EVALI outbreak, Troutt and DiDonato heated four
thinning agents used for cannabis e-liquids (PG, VG, polyethylene glycol 400, and medium
chain triglycride oils [MCT]) to 230 °C and assessed formation of toxic carbonyls.
Polyethylene glycol 400 and PG produced formaldehyde and/or acetaldehyde at higher
levels compared with VG and MCT (Troutt & DiDonato, 2017). None of these aldehydes
produce the pathology observed with EVALI, but the data provided valuable insights during
the outbreak because it suggested that other ingredients could be involved in the toxic
response. As part of the EVALI investigation, Blount et al. obtained BALF from 51 EVALI
patients in 16 states and measured the concentrations of several possible toxic substances,
including Δ
9
-THC and the e-liquid constituents VEA, plant oils (identified by measuring
long-chain triglycerides), medium-chain triglyceride oil, coconut oil (identified by
measuring medium-chain triglycerides), petroleum distillates, and terpenes such as limonene
(Blount et al., 2020). The authors reported that 94% of EVALI patients had BALF samples
with detectable Δ
9
-THC or its metabolites or reported they used an e-cigarette, or vaping
product that contained Δ
9
-THC within 90 days of the onset of symptoms. VEA, coconut oil,
and limonene were quantified in 94%, 2%, and 3% of EVALI patient BALF samples,
respectively but not in BALF samples from a control group. The authors postulated that the
general absence of other toxicants (plant oils, medium-chain triglyceride oil, coconut oil,
petroleum distillates, and terpenes) in BALF of EVALI patients discounted the role of these
constituents as a primary cause of EVALI.
VEA is strongly linked to EVALI; however, the mechanism or mechanisms by which VEA
causes EVALI is currently unclear. Blount et al. hypothesize that the aliphatic tail of VEA
could penetrate a layer of lung surfactant to align the molecule in parallel with
phospholipids, thereby interfering with surfactant function (Blount et al., 2020). Wu and
O’Shea reported that VEA, when aerosolized using a third generation e-cigarette, released
ethenone gas, a type of ketene gas and respiratory irritant, which they hypothesized could be
a contributing factor to EVALI (Wu & O’Shea, 2020). Attfield et al. also hypothesized that
thermal degradation of VEA may be important in EVALI and suggested that acetate moieties
are precursors for the formation of ethenone gas and that the reaction occurs at temperatures
in excess of 300 °C in the presence of catalytic metals and/or ceramic surfaces present in
heating coils of e-cigarettes (Attfield et al., 2020). According to Wu & O’Shea, additional
thermal transformation products produced from aerosolized VEA included benzene,
butadiene, and formaldehyde, all of which are respiratory irritants and categorized by
NIOSH as potential occupational carcinogens, and trace amounts of tetrahydrofuran
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(respiratory irritant) (NIOSH, 2018); none of these additional transformation products yield
the same pathology observed with EVALI (though whether they have effects as mixtures or
modify other chemical reactions is unknown). Naramani and da Silva used a computational
modeling approach and their results suggested that under “typical” vaping coil temperatures,
VEA was unlikely to produce ketene gases at harmful levels; however, at coil temperatures
above 700 °C, such as might be encountered in a ‘dry hit’, formation of trimethyl quinone
methide acetate would dominate, with lesser amounts of ketene gases produced. The authors
note that even with a low yield of ketene gas, concentrations were predicted to be acutely
toxic in the lungs at coil temperatures above 700 °C (Narimani & da Silva, 2020).
Muthumalage et al. obtained 38 e-liquid cartridges from EVALI patients and characterized
chemical constituents in the bulk liquids and aerosol. The authors reported the presence of
VEA and Δ
9
-THC as well as hydrocarbons, siloxanes, terpenes (including limonene),
flavorings, cannabinoids, pesticides, plasticizers, polycaprolactones, and low levels of metals
in bulk e-liquids. Terpenes, pesticides, solvents, and carbonyl compounds were quantified in
aerosolized e-liquids (Muthumalage, Friedman, et al., 2020). VEA is strongly linked to
EVALI, whether these other identified aerosolized substances, as mixtures or through
interactions, contributes to the pathophysiology observed for EVALI is unclear.
Another study characterized the chemical composition of bulk liquid diluents (PG, VG,
MCT, squalane, vitamin E, VEA, and triethyl citrate) and their aerosol condensates (Jiang et
al., 2020). The authors reported formation of new carbonyls (PG, VG, MCT, squalane,
vitamin E, VEA), alkyl alcohols (MCT, squalane), long chain alcohols (vitamin E, VEA),
short chain esters (MCT, squalane, triethyl citrate), carboxylic acids (triethyl acetate), short
chain alkanes (MCT, squalane), and quinones (vitamin E, VEA) in the aerosolized
condensates. Aerosolized vitamin E and VEA yielded the transformation product
duroquinone and aerosolized VEA produced durohydroquinone; both compounds have
capacity to generate ROS. Human lung bronchus epithelial (Beas-2B) cells were exposed
in
vitro
to aerosolized condensates of each diluent and all but triethyl citrate induced significant
decreases in cell viability compared with their respective bulk liquid. LDH release was
significantly increased for cells exposed to aerosolized condensates of squalane, vitamin E,
and MCT (Jiang et al., 2020). Muthumalage et al. investigated effects of MCT and VEA
using
in vitro
and
in vivo
models. HBE (human bronchial epithelial cells), Beas-2B (human
lung bronchus epithelial cells), and MM6 (human blood leukemia derived monocytes) were
exposed to aerosolized diluents under ALI conditions
in vitro
and wild type C57BL/6 mice
were exposed via inhalation (Muthumalage, Lucas, et al., 2020). Exposure to MCT and
VEA induced cellular generation of ROS in Beas-2B cells; levels were significantly higher
compared with air controls, which indicated capacity to initiate and propagate oxidation of
biological molecules. Exposure to VEA induced a non-significant increase in IL-8 compared
with air exposed control for Beas-2B cells and a significant increase in IL-6 compared with
air control for MM6 cells. Both MCT and VEA significantly reduced barrier function in
HBE cells; damage to tight junctions between epithelial cells and disruption of the epithelial
barrier can drive pathogenesis by promoting inflammatory signaling pathways. Exposure to
MCT, but not VEA, resulted in formation of lipid-laden MM6 cells. In wild type C57BL/6
mice exposed to VEA, harvested BALF had increased IL-6 (a biomarker of lung injury) and
eotaxin. Exposure to MCT and VEA significantly suppressed levels of MCP-1, RANTES,
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IL-17A, IL-12p40, and IL-4. There was no difference in total cells, neutrophil cells, and T-
helper cells in mice exposed to MCT and VEA compared with control. Exposure to VEA
caused changes in eicosanoids, including 6kPGF1a, LTB4, LTC4, LTD4, LTE4, and 5HETE
and a reduction in surfactant protein SP-A levels, the latter which plays an important role in
lipid homeostasis and innate immune defense. Finally, lipidomic profiling revealed that mice
exposed to VEA had significantly higher levels of diradylglycerols, cholesterol ester, and
glycerophosphocholines in BALF compared with controls.
Two research groups have reported lung pathologies similar to EVALI were produced in a
murine model following inhalation of aerosolized VEA (Bhat et al., 2020; Matsumoto et al.,
2020). Using C57BL/6 mice (sex not specified), Bhat et al. demonstrated that exposure to
aerosolized VEA caused an increase in BALF VEA and protein (albumin) levels compared
with exposure to an aerosolized mixture of PG/VG humectants or air. Total leukocyte cell
counts in the lungs of mice exposed to VEA were significantly higher compared with mice
exposed to PG/VG or air. Further, BALF of mice exposed to VEA contained many lipid-
laden macrophages, which was consistent with clinical observations in EVALI patients,
whereas mice exposed to PG/VG contained fewer macrophages and no evidence of lipid
accumulation (Bhat et al., 2020). In another study using C57BL/6 mice (female), Matsumoto
et al. reported that exposure to VEA increased BALF protein levels and plasma surfactant
protein-D levels (which indicated alveolar epithelial injury) compared with air-exposed
controls. VEA exposure also increased total BALF cell counts and neutrophil cell counts
compared with air-exposed controls and mice exposed to aerosolized JUUL® brand flavored
e-liquids; many large vacuolated macrophages contained multiple nuclei (which is a sign of
activation) and stained positive for intracellular lipid droplets. Further, mice exposed to VEA
had significantly increased concentrations of pro-inflammatory neutrophil chemoattractant
KC (murine homologue of IL-8) and monocyte chemokine MCP-3 in lung airspaces.
Histological analysis revealed that mice had monocytic and neutrophilic alveolar and
interstitial inflammation with increased foamy macrophages in the airspaces, similar to that
observed in EVALI patients (Matsumoto et al., 2020). Collectively, these studies indicated
that aerosolized VEA, but not PG/VG, caused lung injury consistent with EVALI in
C57BL/6 mice.
The widespread association of VEA in BALF of EVALI patients reported by Blount et al.
has focused attention on VEA as the primary causative agent. The importance of VEA in the
EVALI outbreak was bolstered by three important observations. Firstly, Taylor et al.
analyzed 46 Δ
9
-THC-containing e-cigarette or vaping products obtained in 2019 from
EVALI patients for the presence of VEA and other ingredients. For comparison, the authors
tested 20 products seized by law enforcement in 2019 (during the outbreak) and ten products
seized in 2018 (prior to the EVALI outbreak). Of the 46 products from EVALI patients and
the 20 seized products obtained in 2019, 24 (52%) and 20 (100%), respectively, contained
VEA. Among the products seized in 2018, none contained VEA (Taylor et al., 2019), which
suggested VEA might have been introduced to products just prior to the outbreak. Secondly,
emergency department visits related to possible EVALI cases increased sharply during
August 11 to September 8, 2019, peaked during the week of September 8, 2019, then
decreased thereafter. This peak and subsequent decline followed reports of the strong link
between EVALI and VEA, which in part may have contributed to the removal of VEA from
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products or modifications in consumer behavior and the observed waning trend of new
disease cases (Krishnasamy et al., 2020). Thirdly, using a C57BL/6 mouse model, two
research groups independently reported that inhalation of VEA, but not PG/VG humectants,
caused inflammatory and histological changes in lungs consistent with that observed in
EVALI patients (Bhat et al., 2020; Matsumoto et al., 2020).
VEA is strongly implicated in the EVALI outbreak; however, evidence is not sufficient to
rule out the contribution of other chemicals of concern, including chemicals in either THC
or non-THC products, in some of the reported EVALI cases. As noted previously, 14% of
hospitalized EVALI patients reported exclusive use of nicotine-containing products
(www.cdc.gov/EVALI), which should not have contained VEA as a constituent.
Additionally, Harnett et al. reported syndromic surveillance data, which indicated that low
numbers of cases of EVALI were occurring before the outbreak in the summer of 2019
(Hartnett et al., 2020). Recently, an EVALI-like acute condition was reported in rats exposed
to aerosol generated using an e-cigarette with nickel-chromium atomizer at high power and
an e-liquid composed of PG/VG humectants and tobacco flavoring but no Δ
9
-THC, VEA, or
nicotine (Kleinman et al., 2020). E-liquids are chemically complex mixtures so the potential
for unexpected chemistries to occur within an aerosolized mixture is high. Other toxic
substances could have been eliminated from the body prior to BALF collection from EVALI
patients, and MCT and terpenes have capacity to induce oxidative stress and pulmonary
inflammation (Chand et al., 2019; Lozier et al., 2019; Muthumalage, Friedman, et al., 2020;
Wu & O’Shea, 2020).
8.2. Possible mechanisms of toxicity
Initially, acute exogenous lipoid pneumonia was given as a diagnosis for patients and it was
proposed that inhaled oil droplets could deposit in the alveoli and incite a localized
inflammatory response that impaired gas exchange (Davidson et al., 2019). However,
subsequent clinical reviews of EVALI cases did not show histologic or radiological evidence
of exogenous lipoid pneumonia (Butt et al., 2019; Mukhopadhyay et al., 2020). Based, in
part on these reports, it was hypothesized that EVALI was the result of chemical
pneumonitis from one or more inhaled toxic substances (Butt et al., 2019). Chand et al.
described a model of chemical pneumonitis with involvement of innate immune mechanisms
(Chand et al., 2019). Constituents of aerosolized e-liquids that reach the alveoli will contact
Type I and Type II epithelial cells, as well as macrophages and polymorphonuclear
leukocyte cells such as neutrophils, eosinophils, and basophils. These innate immune cells
are part of the first line of defense against exogenous exposures and any changes in their
function will alter airway homeostasis (Hickman et al., 2019). Chand et al. proposed the
following sequence of events: 1) aerosolized e-liquid constituents (oils, lipids, VG, and
VEA) are deposited in the alveoli, 2) this chemical insult provokes cell death and the
resulting cellular debris is engulfed by macrophages via efferocytosis leading to
accumulation of lipid-laden macrophages, 3) polymorphonuclear cells are recruited to the
alveoli and neutrophils release extracellular traps (NETs; extracellular fibers to trap
extracellular irritants), and 4) alveolar Type II epithelial and other cells secrete pro-
inflammatory cytokines. Oxidative damage may also contribute to the accumulation of
oxidative derivatives of cellular lipids and lung surfactant in the alveolar region of the lung
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(Chand et al., 2019). It is also hypothesized that the aliphatic tail of VEA could penetrate a
layer of lung surfactant, which would alter surfactant function in the alveolar region of the
lung (Blount et al., 2020). This proposed mechanism is consistent with 1) reports that many
EVALI patients had intense acute respiratory inflammation and increased influx of
inflammatory cells in the lung (Chand et al., 2019), 2) lipid-laden macrophages observed in
BALF from EVALI cases were most similar in morphology to those observed in endogenous
lipoid pneumonia (Mukhopadhyay et al., 2020), 3) observations that e-liquid constituents for
nicotine delivery can alter surfactant activity (Davies, Birkett, Kotwa, Tomlinson, &
Woldetinsae, 2017; Sosnowski, Jablczynska, Odziomek, Schlage, & Kuczaj, 2018), 4) an
enrichment of NET-related proteins in sputum (although NETs are beneficial for responding
to exogenous pathogens, an accumulation of NETs may cause tissue damage in the host)
(Reidel et al., 2018), and 5) elevated release of pro-inflammatory cytokines by lung cells
(Bengalli et al., 2017; Czekala et al., 2019; Gómez et al., 2020; Lee et al., 2019; Leigh et al.,
2016; Lerner et al., 2015; Misra et al., 2014).
9. Knowledge gaps and research opportunities
This review presented an overview of progress to understand the toxicity of flavored e-
liquids used in e-cigarettes and cannabis-containing e-liquids used in vaporizers and e-
cigarettes. As highlighted in the preceding sections, there is a lack of standardization with
respect to methods for exposing cells for
in vitro
studies (as well as for
in vivo
studies). This
lack of standardization includes methods used to generate exposures as well as methods used
to collect exposures. For exposure to bulk flavored e-liquids, there is variability in the
amount of dilution used to prepare e-liquids for exposures to submerged cell cultures. For
exposure to aerosolized e-liquids, there is great variability in the methods used to generate
aerosol (smoking machine or other device), generation of e-cigarette, the e-cigarette settings
(voltage, power, coil resistance), puff topography, and coil temperature. There is also
variability in methods used to collect aerosols such as passing across or through cell culture
medium, though the collection efficiencies of these methods appear to be poorly quantified.
While, as discussed in Sections 7 and 8, much has been learned to date, many knowledge
gaps still exist in our understanding of e-cigarette-and vaporizer-induced toxicity. This
section briefly discusses 13 research gaps and opportunities identified during our review.
9.1. Considerations for e-cigarettes
As highlighted in Section 3.1 and Figure 1, e-cigarette designs have evolved over time. First
generation e-cigarettes permitted little, if any, modifications by the user. With second and
subsequent generation e-cigarettes there was a shift toward greater user control over settings.
This evolution of e-cigarette designs has created research gaps/opportunities related to
device settings and puffing topography for toxicology studies.
9.1.1. Research gap/opportunity 1
What e-cigarette generations should be tested?: First generation e-cigarettes appeared on
the market in the early 2000s as simple devices with a battery and coil and have little
resemblance to the sophistication of more recent generations of e-cigarettes. Though all four
generations of e-cigarettes are still on the market, only a few studies have attempted to
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evaluate the influence of e-cigarette generation on toxicity of flavored e-liquids.
Putzhammer et al. evaluated flavored e-liquids that were aerosolized using first and second
generation e-cigarettes and suggested that aerosol generated by first generation e-cigarettes
seemed less toxic (Putzhammer et al., 2016); however, the e-liquid formulation was not
controlled for in their study design so the impact of device is not clearly known. In another
study, Behar et al. aerosolized Cinnamon Ceylon flavored e-liquid with cartomizer- and
tank-style e-cigarettes and reported that cytotoxicity was independent of device (Behar et al.,
2016). As noted in Section 7, though the FDA has prioritized removing pre-filled flavored e-
liquid cartridge-based products (except menthol and tobacco flavors) because they are not
authorized for sale. Their production and sale for use in earlier generation devices remains
legal in the United States. Additionally, consumers can still purchase concentrated PG or
flavorings to dilute and mix their own desired flavored e-liquid (Noël et al., 2020) then fill
their pods at home. Given the paucity of data on the impact of device generation and the
greater user control over settings such as applied voltage, coil resistance, and power setting,
there is a clear research gap/opportunity in our understanding of the influence of e-cigarette
generation on the toxicity of aerosolized flavored e-liquids. The U.S. National Institute of
Drug Abuse has developed a Standardized Research E-Cigarette (SREC) based on second
generation e-cigarette technology that is available for purchase through NJOY, LLC (NIDA,
2017). To our knowledge, there are no third and fourth generation reference e-cigarettes.
Note that consumer preferences for e-cigarette devices change over time and understanding
current trends of e-cigarette sales is critical for generation of data that will be useful for
informing risk minimization strategies (Ali et al., 2020). Finally, there is little understanding
of the impact on toxicity of practices such as dripping and power vaping (Kong et al., 2020)
and stealth vaping (Fadus et al., 2019) that are popular with youth and other users of later
generation e-cigarettes.
9.1.2. Research gap/opportunity 2
What e-cigarette voltage settings should be tested?: Only a few studies have evaluated the
impact of e-cigarette voltage settings on toxicity of aerosolized flavored e-liquids (Behar et
al., 2016; Behar, Luo, et al., 2018; Farsalinos et al., 2013; Otreba et al., 2018). Except for the
report by Fasalinos et al., available data generally supported the conclusion that toxicity was
increased with greater applied voltage (resulting in greater power). For example, Otreba et
al. demonstrated that cytotoxicity of aerosolized flavored e-liquids increased with increased
ENDS voltage from 3.2 V to 4.0 V to 4.8 V. These studies bring into question how to assess
the release of different toxins when they depend, in part, on parameters such as device and
settings. Given the sheer number of second and third generation e-cigarette models available
and the range of possible settings, it is not feasible or practical to test all possible
combinations. At a minimum, the type of e-cigarette generation, device model and
contextual information such as electronic settings should be included in all reports. A
broader research gap/opportunity exists with regards to whether one or more standard
device/voltage setting combinations should be included in all toxicity studies to serve as a
benchmark to facilitate intra- and inter-comparison of results within and among studies,
respectively.
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9.1.3. Research gap/opportunity 3
What e-cigarette puffing topography should be tested?: This article presented a detailed
toxicological review of flavored e-liquids and various devices that may be grouped into one
of four different generations of e-cigarettes. Unfortunately, findings from one research study
were not always directly comparable with other(s) due to dissimilarity in experimental
parameters such as the e-cigarette device, puff topography, e-liquid, etc. To better integrate
available knowledge and improve generalizability of research results, it is important that
future studies are conducted in a manner that facilitates inter-comparison of data. Study
designs should include parameters that consider uniformity in testing without overly
constricting development of novel testing approaches and study designs. The Cooperation
Centre for Scientific Research Relative to Tobacco (CORESTA), International Organization
for Standardization (ISO), and Association Française de Normalisation (AFNOR) methods
for e-cigarettes are example protocols but their limitations cannot be overlooked for certain
applications. For example, CORESTA research methods incorporate e-cigarette puff
topography according to a standard profile; however, an actual user’s profile will vary based
on several factors such as: whether they are an inexperienced user compared with an
experienced user; demographic parameters such as male compared with female; age,
because teenagers, adults, and older adults have different lung capacities and breathing
behaviors; and, it is also important to capture variations in topography among target
populations of the study, as they can differ between previous tobacco smokers, never tobacco
smokers, dual tobacco smoker and e-cigarette user, etc. ISO 20768:1018
Vapour Products —
Routine Analytical Vaping Machine — Definitions and Standard Conditions
is intended to
define and specify the requirements of smoking machines used in laboratories to draw air
through e-cigarettes to generate aerosol for testing but does not define standard conditions
for toxicology assessments. As such, there is an important research gap/opportunity to
identify a means to permit inter-comparison of toxicology study results to account for puff
topography. CORESTA and ISO protocols are not designed to account for all use scenarios
so one possible solution is that studies include one of their basic common puff topography
scenarios as a benchmark to which results of all other variations of puff topography, device
characteristics, and experimental parameters can be compared (e.g., ratio of tested variation
to basic or benchmark scenario) within their study and between studies.
9.1.4. Research gap/opportunity 4
How do the heating conditions of these devices influence the aerosol and gas-phase
chemistry, and, in turn, toxicity?: The preceding gaps/opportunities relate to properties of
the e-cigarette device and topography. Individually, each of these gaps (as well as the
composition of the e-liquid, which is addressed below) represent a short-coming in our
knowledge of aerosolized e-liquid toxicity; however, collectively, the properties of the
device and topography affect the heating conditions of the e-liquid, and hence aerosol and
gas-phase chemistry (Saliba et al., 2018; Zhao, Shu, Guo, & Zhu, 2016). In turn, the aerosol
and gas-phase chemistry will influence toxicity. While some attention has been given to the
influence of voltage setting, more data is needed to understand the influence of heating
conditions, including coil composition and variation in coil temperature on e-liquid
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chemistry and aerosol and gas-phase chemistry (Chen et al., 2018; Saliba et al., 2018; Zhao
et al., 2016).
9.2. Considerations for e-liquids
The composition of flavored e-liquids is complex and based on the literature reviewed, we
identified several research gaps/opportunities related to e-liquid composition, experimental
controls, and the utility of testing bulk liquids. Further compounding investigations of the
composition of e-liquids is that they can be made in a commercial setting or by consumers
so there is great variability in types and proportions of ingredients, especially flavorings and
nicotine.
9.2.1. Research gap/opportunity 5
Is a reference material or a benchmark e-liquid formulation needed?: E-liquid
constituents contributed to data variability in toxicological findings (see Section 7). Studies
to date generally utilized commercial flavored e-liquid products or laboratory-prepared
flavoring chemicals in a matrix intended to mimic e-liquid formulations. Evaluation of
commercial flavored e-liquids composed of complex mixtures of different ratios of PG/VG,
nicotine, and multiple flavoring chemicals as well as impurities and
in situ
oxidation
products provided the most relevant model of real-world products. Evaluation of single
flavoring chemicals in a humectant matrix provided an ideal model to evaluate the specific
effect of flavoring chemicals on toxicity but was not representative of real-world commercial
e-liquids. Moreover, there can be significant variability within and between different brands
for stated versus actual values of e-liquid constituents such as the amount of flavoring and
nicotine content. These differences are often not reported or documented in toxicological
evaluations, which further makes it difficult to interpret results. Hence, an important research
gap/opportunity is to identify a means to permit inter-comparison of study results to account
for e-liquid variability. Various research groups have proposed standard e-liquid
formulations for testing purposes (Kim et al., 2017; Soulet, Duquesne, Toutain, Pairaud, &
Lalo, 2019). One option is that toxicology studies include a standardized reference or
benchmark e-liquid formulation to which all other variations of flavored e-liquids can be
compared (e.g., ratio of tested variation to basic or benchmark scenario) within their study
and between studies. Careful consideration is needed on the composition of a standardized
or benchmark e-liquid formulation as consumer preferences for flavors change over time
(Ali et al., 2020).
9.2.2. Research gap/opportunity 6
What experimental controls should be included for comparison of flavored e-liquid and
flavorings-induced toxicity endpoints?: Ideally, all studies of flavored e-liquids and
flavorings would compare toxicity results to an appropriately matched control. As described
in Section 7 and summarized in Table 2, many
in vitro
toxicity assessments compared results
with unexposed cells, cells exposed to culture media only, cells exposed to air, or cells
exposed to a similar e-liquid but not exactly matched for PG/VG or nicotine concentration.
As summarized in Table 3, many
in vivo
studies compared results with air exposed controls.
Regardless of study type, few investigators have compared outcomes from exposure to a
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flavored e-liquid with an identical formulation that only differed in the absence of flavoring
chemical, which has obscured the true influence of flavor on toxicity. Hence, a research gap/
opportunity related to e-liquids is the standardization of controls for comparison of flavored
e-liquid and flavoring chemical toxicity endpoints.
9.2.3. Research gap/opportunity 7
Is there utility in the assessment of bulk flavored e-liquid toxicity?: As detailed in
Section 7.1.1, since the initial reports of flavored e-liquid cytotoxicity were published, there
was debate as to whether researchers should evaluate the bulk e-liquid or its aerosolized
form (Behar, Davis, Bahl, et al., 2014; Farsalinos et al., 2014). Several investigators have
reported that toxic endpoints were consistent whether cells were exposed to flavored e-liquid
or its aerosolized form, which suggested value in simple screening of liquids as a first step in
a toxicology evaluation (Behar et al., 2016; Behar, Wang, & Talbot, 2018; Sassano et al.,
2018). On the other hand, characteristics of aerosolized flavored e-liquid often differed from
that of the bulk liquid. For example, several investigators have reported that heating an e-
liquid resulted in formation of new substances such as aldehydes, acetals, and flavorings,
which suggested that testing the bulk liquid may provide an incomplete assessment of
exposure (Behar et al., 2016; Erythropel et al., 2019; Noël et al., 2020). Collectively, these
results indicated that another research gap/opportunity is the need for a testing approach that
begins with screening of the bulk flavored e-liquid and progresses to more detailed
evaluation of the aerosolized form under realistic exposure conditions. One example of such
an approach was proposed by the tobacco cigarette industry and begins with screening an e-
liquid for potential cytotoxicity followed by mechanistic toxicity studies of the liquid and
aerosolized forms (Iskandar, Zanetti, Marescotti, et al., 2019).
9.3. Considerations for modeled system
Numerous types of experimental systems are available to evaluate the toxicity of flavored e-
liquids, including
in vitro
submerged monocultures, co-cultures, and tissue; ALI with 3D
tissue models;
in vivo
animal; and, humans. The choice of experimental system is an
important one because, as reviewed in Section 7.1, studies have documented differential
responses to the same e-liquid among cell types and across developmental stages (embryonic
compared with mature).
9.3.1. Research gap/opportunity 8
What exposure system should be used for toxicological assessments of flavored e-
liquids?: The choice of exposure system is an important aspect of any experimental design
and many factors need to be taken into consideration. Firstly, what exposure are you
modeling? Inhaled droplets from aerosolized e-liquids will deposit throughout the
respiratory tract, though modeling indicates that particle deposition densities will be highest
in the upper bronchial generations with maximum values at the lobar bronchi (Manigrasso,
Buonanno, Fuoco, Stabile, & Avino, 2015), so the exposure system should reflect the
intended biological compartment. In the case of gases, deposition may be throughout the
respiratory tract. Secondly, the desired endpoints, which are required to be measured also
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play an important role in choosing the exposure model. Hence, study plans for e-cigarette, or
vaping, products aerosols need to consider several alternative and complementary models.
Cellular models can use submerged cell lines that are easy to culture and offer the ability to
test numerous samples in a high throughput system. Although this type of system has its
advantages, some may question its validity due to the method of exposure not resembling
actual aerosol interacting with the airway surface. Immortal cells also make culturing easier;
however, their altered state compared with primary cells raises questions of how measured
endpoints might be affected by the cells themselves. Several studies have used submerged
cells and offer important results, including information on cell type sensitivity, dosages,
nicotine contribution to toxicity, ROS activation, cytokine signaling and basic chemical
composition effects on toxicity (Leslie et al., 2017; Scott et al., 2018; Ween et al., 2017;
Zahedi, Phandthong, Chaili, Remark, & Talbot, 2018).
ALI models offer a more complex exposure where the cells can react with the actual aerosol
generated from ENDS and not the aerosol captured in liquid culture media. This approach
allows a more representative model and offers real-time measurements for exposure. Other
factors such as temperature, surface chemistry and aerosol droplet sizes are now allowed to
affect the cell, which is not possible with a simple submerged monoculture system. A 3D
ALI model allows the cells to differentiate into multi-layered surfaces that more accurately
model, e.g., the lung airways (Acosta, et al., 2016; STEMCELL Technologies Inc, 2019;
Zscheppang et al., 2018). Further, the complexity and crosstalk between cells is increased
and cell-cell effects of the ENDS exposures can be measured more accurately using ALI
models with 3D cultures compared with submerged monocultures.
In vivo
exposures to ENDS aerosol offer a whole system view where multiple reactions and
crosstalk can take place without limitations of systems that attempt to mimic real-life.
Exposures can take the form of instillations where a bolus of e-liquid is introduced into the
lung and results measured after time. This dose delivery approach offers precise control of
the amount of e-liquid introduced to the animal; however, a bolus is not the best model of
real-world exposure scenarios. Whole body exposures can be carried out where the ENDS
aerosol is introduced into the animal’s breathing space and inhaled. Controls can be set on
concentration in the atmosphere, time of exposure and duration. While closer to real-life,
whole body exposure does not allow exposure to primary aerosol because what is produced
by a smoking machine will interact with air (undergo evaporation, change in particle size,
etc.) after it is generated and before it is inhaled by the animal. There is also the possible
side effect of animal grooming where the animal may be exposed via ingestion to the
condensed ENDs aerosol. In contrast, nose-only exposure studies allow direct exposure to
primary ENDS aerosol to the animal and control of dose administered without the concern
of co-exposure from grooming (Crotty Alexander et al., 2018; Lee et al., 2018; Smith et al.,
2015). Additional advantages of nose-only inhalation systems include exposure flow rates
can be specified and more easily monitored, less exposure material is needed since exposure
is direct to the nose, easier containment of the test material, animals can be removed mid-
exposure without effecting other animals, and nose-only is suitable for repeated dosing.
However, nose-only exposures also present disadvantages in experimental procedures.
Research has shown a possible change in average minute ventilation, probably due to stress,
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which could affect exposure amounts if baseline, unstressed, rates are used in the
calculations; clearance patterns and uniformity of distribution have been demonstrated to be
different depending on the route of exposure whether whole body, nose-only or oral
pharyngeal; animals can becomes stressed because of restraint and no food or water during
the exposure; and, if exposure tubes are used, there is potential for heat and moisture buildup
and animals may try to turn around, which can lead to suffocation (Oberdörster, Castranova,
Asgharian, & Sayre, 2015; Pauluhn & Thiel, 2007; Wong, 2007).
In summary, the choice of exposure system is an important and complex choice in any study
design. An important research gap/opportunity is the need for better rationale for the choice
of exposure system so that the exposure is representative of real-world pathways and the
measured endpoints representative of human responses to using ENDS.
9.3.2. Research gap/opportunity 9
What are the characteristics of the delivered dose in the gas and droplet
phases?: Aerosolized e-liquids are a mixture of gas phase chemicals and liquid phase
droplets that contain chemicals. Equilibrium of constituents between these two phases is
based on their partitioning constant or coefficient. Depending on the constituents of an e-
liquid, their volatility, and their partitioning constant a significant portion of the inhaled
aerosol may be deposited in respiratory tissues (Pankow et al., 2018). Pankow proposed to
predict the liquid phase droplet and gas phase distribution of e-liquid constituents as a
function of the mass concentration of the aerosol droplets, the composition of the droplets,
temperature, and the vapor pressure of the compound (Pankow, 2017). In addition to the
relative phase distribution of toxic constituents, it is also important to consider the size
distribution of aerosolized e-liquids and the role of particle size in respiratory tract
deposition. Manigrasso et al. estimated size-specific doses from e-cigarette aerosols as a
function of lung deposition. The authors reported total regional doses were greater in the
right lung lobes than left lobes using the Multi-Path Particle Dosimetry software model
(Manigrasso et al., 2015). It is important to understand that lung deposition modeling
predictions can differ with the puff profile and e-liquid characteristics. Feng et al. used an
experimentally validated computational fluid-particle dynamics model to show that several
major factors (ambient humidity, initial droplet diameter, and initial water mass fraction)
influenced aerosolized e-liquid droplet-growth, which in turn, influenced their lung
deposition patterns through enhanced inertial impaction and reduced Brownian motion.
These authors and others report that because aerosolized e-liquid droplets were more
hygroscopic, they tended to grow larger compared with regular tobacco cigarette smoke in a
humid environment, which has implications for dose predictions (Feng, Kleinstreuer, &
Rostami, 2015; Sosnowski & Kramek-Romanowska, 2016). While particle aerodynamic size
is important for understanding regional deposition throughout the respiratory tract, other
metrics of exposure such as particle number, mass, and surface area concentration may also
be important parameters in dosimetry. Hence, knowledge of delivered dose is very limited
and critical research gaps/opportunities exist on the need to improve understanding of the
partitioning of toxic constituents between the gas and liquid phase droplets that were
actually delivered to an experimental system as well as identification of informative
dosimetry characteristics (number, mass, size, surface area) that are most relevant to toxicity
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in an experimental system, whether it be a submerged cell culture, ALI system, animal
system, or humans.
9.4. Considerations for biological monitoring
Table 3 summarizes published studies that reported biomarkers of exposure
in vivo
. Markers
of exposure to aerosolized e-liquids have generally been limited to monitoring a few
substances or metabolites.
9.4.1. Research gap/opportunity 10
What biomarkers of exposure, effect, and disease are available to assess impacts from
aerosolized flavored e-liquids?: The influence of flavored e-liquids on plasma nicotine
uptake as a marker of exposure is inconclusive. For studies of e-liquids that contain nicotine
in free-base form, some reported no difference in plasma nicotine levels from aerosolized
flavored e-liquids compared with aerosolized unflavored e-liquids (Walele et al.,2016;
Werley et al.,2016), whereas one reported that aerosolized flavor influenced plasma nicotine
levels (St Helen et al., 2017). One study evaluated the influence of flavored e-liquids that
contained nicotine in salt form and reported that rats exposed to aerosolized JUUL® brand
Virginia Tobacco flavored e-liquid generated by a pod mod device yielded higher serum
nicotine and cotinine levels compared with a aerosolized unflavored e-liquid generated by a
tank-style e-cigarette (Rao et al., 2020). As detailed in Section 7.2, the JUUL® flavored e-
liquid differed in PG/VG content and the amount and form of nicotine compared with thee-
liquid used in the tank-style e-cigarette, which precluded any definitive conclusion on the
specific role of flavoring in explaining the observed responses. Some research groups are
focused on identification of biomarkers of exposure that can differentiate smoking habits
such as use of flavored e-liquids or between regular tobacco cigarettes and e-cigarettes. For
example, Smith et al. reported that exclusive e-cigarette users who used only fruity-flavored
e-liquids had significantly higher urinary concentrations of N-acetyl-S-(2-cyanoethyl)-l-
cysteine (biomarker of exposure for acrylonitrile) compared with users of any other single e-
liquid flavor, but concentrations of biomarkers of exposure to nicotine (cotinine), benzene,
and acrolein did not significantly differ among categories of flavored e-liquids (Smith et al.,
2019). Many flavorings are aldehydes (see Table 1) and when heated, flavored e-liquids can
produce secondary aldehydes dependent upon flavoring ingredients, e-cigarette device
characteristics, and topography. Conklin et al. reported that the crotonaldehyde urinary
metabolite 3-hydroxy-1-methylpropylmercapturic acid was increased after exposure to
tobacco cigarette smoke but not e-cigarette aerosol. Further, exposure to aerosolized
Menthol-flavored e-liquid elevated urinary levels of the acrolein metabolite 3-hydroxypropyl
mercapturic acid and the sum of markers of nicotine exposure (nicotine, cotinine, trans-3’-
hydroxycotinine) compared with exposure to aerosolized Classic Tobacco flavored e-liquid
(Conklin et al., 2018). In another study, it was reported that the mercapturic acids N-acetyl-
S-(3-hydroxy-1-methylpropyl)-L-cysteine (crotonaldehyde metabolite), N-acetyl-S-(3-
hydroxypropyl)-L-cysteine (acrolein metabolite), and N acetyl-S-(3,4-dihydroxybutyl)-L-
cysteine (1,3-butadiene metabolite) were significantly higher in urine of regular tobacco
smokers compared with e-cigarette users (Frigerio et al., 2020). Salivary cytokine
concentrations are being investigated as markers of effect to differentiate between regular
tobacco smokers compared with e-cigarette users for endpoints such as gingival health
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(Faridoun, Sultan, Jabra-Rizk, Weikel, Varlotta, and Meiller, 2021). Another possible matrix
for biological monitoring is exhaled breath. Recently, it was reported that e-cigarette users
could be differentiated from regular tobacco cigarette smokers based on presence of esters
(e.g. ethyl acetate), terpenes (e.g. α-pinene, β-pinene, d-limonene, p-cymene, etc.) and
oxygenated compounds (e.g. 3-hexen-1-ol, benzaldehyde, hexanal, decanal, etc.) in their
exhaled breath (Papaefstathiou, Stylianou, Andreou, & Agapiou, 2020). Based on the
paucity of available data, important research gaps/opportunities that relate to biomonitoring
include: 1) what unique markers of exposure for flavoring chemicals that have been shown
to induce toxicity are needed for e-cigarettes? and, 2) what specific markers of effect and
disease need to be identified, validated, and utilized to assess toxicity, and ideally
differentiate between e-cigarette and tobacco cigarette exposures? Research to date is limited
to a few studies of biomarkers in blood, urine, saliva, and exhaled breath though
opportunities may exist for monitoring biomarkers in sweat and other biological fluids (Zhao
et al., 2020).
9.5. Toxicity from passive exposures
In 2010, New Jersey was the first state to prohibit e-cigarette use and vaping in indoor areas
of restaurants, bars, and worksites (Marynak et al., 2017). As of December 2019, 14 states,
the District of Columbia (DC), and Puerto Rico have enacted similar laws (www.cdc.gov/
statesystem). E-cigarettes do not generate aerosol unless the user inhales through the
mouthpiece (first generation) or manually activates a battery (second and subsequent
generations). Hence, the only source of secondhand aerosol from e-cigarettes is that which is
exhaled by the user. One study used a smoking machine to generate aerosol from an e-
cigarette in a 30 m
3
chamber as an indicator of secondhand exposure; peak PG
concentrations were 1400–2200 μg/m
3
, peak VG concentrations were 60–136 μg/m
3
, and
peak nicotine concentrations were 0.2–0.6 μg/m
3
(Geiss, Bianchi, Barahona, & Barrero-
Moreno, 2015). As inhaled aerosol travels into and out of the body, particles and gases will
deposit in the successive regions of the respiratory tract. Hence, the composition of what is
inhaled as mainstream aerosol differs from what is exhaled as secondhand aerosol (Marco &
Grimalt, 2015; Papaefstathiou, Bezantakos, et al., 2020; Samburova et al., 2018). Several
studies have evaluated concentrations in exhaled breath of e-cigarette users as indicators of
potential for passive exposure. For example, one study reported that the average PG, VG,
and nicotine levels exhaled by an e-cigarette user into a room were 4980, 82,860, and 13.1
μg/m
3
, respectively (Breiev et al., 2016). Another study reported that levels of formaldehyde
exhaled by an e-cigarette user into a room ranged from 5 to 8 μg/m
3
(Melstrom et al., 2017).
Schripp et al. sampled for 20 VOCs exhaled by e-cigarette users into a room, though only 2-
butanone (2 μg/m
3
), acetic acid (11–14 μg/m
3
), acetone (17–25 μg/m
3
), isoprene (6–10 μg/
m
3
), formaldehyde (8–16 μg/m
3
), and acetaldehyde (2–3 μg/m
3
) were above analytical
detection limits (Schripp, Markewitz, Uhde, & Salthammer, 2013). Czogala et al. reported
that air concentrations of nicotine emitted by e-cigarette users into a chamber had average of
3.3 μg/m
3
(range: 0.65–6.23 μg/m
3
) and O’Connell et al. reported in their study that nicotine
concentrations detected in the exhaled breath of e-cigarette users ranged from 11.9 to 11850
μg/m
3
(Czogala et al., 2014; O’Connell, Colard, Cahours, & Pritchard, 2015). Other
investigators have reported that e-cigarette users exhale large numbers of compounds into
room air. Papaefstathiou et al. detected over 70 different VOCs in exhaled breath of e-
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cigarette users, Saffari et al. quantified 22 metals, 16 alkanes, and 19 organic acids in their
exhaled breath, and Samburova et al. quantified 8 aldehydes in exhaled breath
(Papaefstathiou, Bezantakos, et al., 2020; Saffari et al., 2014; Samburova et al., 2018).
Finally, it was reported that maximum total VOC concentrations were 435–492 ppb when an
e-cigarette user puffed in a room (Tzortzi et al., 2020). These studies demonstrated potential
for secondhand exposure but did not assess whether by standers were actually exposed to
emissions. In the first study of its kind, Flouris et al. directly measured exposure of
volunteers who were passively exposed to e-cigarette emissions exhaled by a user and
reported they had mean serum cotinine level of 2.4 ng/ml, thereby proving that passive
exposure occurs (Flouris et al., 2013). Subsequently, Melstrom et al. measured passive
exposure to nicotine in the breathing zone of volunteers (0.2–1 μg/m
3
air), Gallart-Mateau et
al. reported that passively exposed volunteers had average nicotine concentration in oral
fluid of 14 μg/ml, and Ballbè et al. Reported that the geometric mean nicotine concentration
in homes of e-cigarette users was 0.13 μg/m
3
and passively exposed persons in these homes
had salivary cotinine levels of 0.19 ng/ml (Ballbè et al., 2014; Gallart-Mateu, Elbal,
Armenta, & de la Guardia, 2016; Melstrom et al., 2017). Van Drooge et al. measured organic
chemicals in exhaled breath of passively exposed persons and detected seven VOCs (highest
average was for formaldehyde at 14 μg/m
3
) and nicotine (average of 0.20 μg/m
3
) (van
Drooge, Marco, Perez, & Grimalt, 2019). Tzortzi et al. reported that for passively exposed
persons, changes in VOC concentrations from e-cigarette emissions in a room were
positively associated with reported nasal and throat-respiratory symptoms (Tzortzi,
Teloniatis, et al., 2020). E-cigarette conventions can attract hundreds to thousands of
attendees. Johnson et al. reported that non-smokers who attended several e-cigarette
conventions had elevated urinary cotinine (0.38–1.1 μg/g), salivary cotinine (0.08–0.17
ng/mL) and urinary trans-3-hydroxycotinine (0.25–0.85 μg/g), S-(3-hydroxypropyl)-N-
acetylcysteine (199–635 μg/g), S-carboxyethyl-N-acetylcysteine (83–117 μg/g), and 8-
Isoprostane (260–466 ng/g) immediately after attending these events (Johnson et al., 2019).
In spaces where e-cigarettes are used or e-liquids are handled, exhaled constituents may be
deposited onto surfaces and clothing, which can create opportunity for additional exposures,
including through absorption or ingestion of particulate matter and other residue that is left
on the surface. In a laboratory study, e-cigarette aerosol released into an experimental
chamber resulted in nicotine levels up to 500 μg/m
2
on surfaces (Goniewicz & Lee, 2015).
One study reported the average nicotine concentration on surfaces in e-cigarette user homes
was 7.7 μg/m
2
(Bush & Goniewicz, 2015). Khachatoorian et al. measured settled residues on
samplers placed on surfaces in a residential home and an e-cigarette retail store. The authors
reported that in the residential setting, concentrations of nicotine were 2000–3000 ng/
sample, concentrations of cotinine were approximately 25–125 ng/sample, concentrations of
n-formylnornicotine were approximately 50–150 ng/sample, and myosmine was
approximately 25 ng/sample. In the retail store, the maximum concentrations of nicotine,
cotinine, and n-formylnoricotine were 284,000, 200, and 1300 ng/sample, respectively
(Khachatoorian et al., 2019). It has also been reported that exhaled constituents from a vape
shop traveled to an adjacent business in a multi-tenant building, thereby creating an
unrecognized exposure (Khachatoorian, Jacob Iii, Benowitz, & Talbot, 2019). In another
study, following e-cigarette use in a room, levels of nicotine on surfaces were 2.1–4.0 ng/100
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cm
2
/h and levels of nicotine on cloth samples worn by users and bystanders were 44.4
ng/100 cm
2
/h to 69.6 ng/100 cm
2
/h (Melstrom et al., 2017). Liu et al. reported low levels of
nicotine, PG, and VG on surfaces in a room after use of e-cigarettes (Liu et al., 2017). For
more detailed information on passive exposures to e-cigarette emissions, the reader is
referred to a previously published review article (Hess, Lachireddy, & Capon, 2016). The
paucity of laws that prohibit indoor use of e-cigarettes indicate a high potential for
secondhand exposure and additional exposure from residues on surfaces among workers in a
wide range of occupations as well as children and other susceptible populations that reside
or spend time in a space (or possibly an adjacent work space) occupied by someone who
uses an e-cigarette. Much research to date has focused on the characteristics of mainstream
aerosol that is inhaled by the e-cigarette user, with considerably less attention given to
passive (secondhand and surface residue) exposures.
9.5.1. Research gap/opportunity 11
Does secondhand aerosol exposure result in toxicity to receptors?: Studies of
secondhand aerosol exposure potential can be placed into two general categories: 1) user-
generated secondhand aerosol in a room, and 2) mathematical modeling approaches. In
studies where a user generated secondhand aerosol, levels of contaminant concentrations
were measured at a distance away from the source (user) in a room (Avino et al., 2018;
Maloney et al., 2016; Melstrom et al., 2017; O’Connell et al., 2015; Protano, Cattaruzza,
Osborn, & Vitali, 2014; Saffari et al., 2014; Zhao et al., 2017) or biomarkers of exposure
were measured in urine or saliva of bystanders (Flouris et al., 2013; Gallart-Mateu et al.,
2016; Johnson et al., 2019; van Drooge et al., 2019). In one study, persons that were
passively exposed to secondhand aerosol completed a questionnaire and some reported
transient ocular, nasal, throat-respiratory irritation symptoms (Tzortzi, Teloniatis, et al.,
2020). Mathematical modeling of secondhand exposures have included residential and
occupational exposure scenarios to aldehydes and ultrafine particles (Avino et al., 2018;
Colard, O’Connell, Verron, Cahours, & Pritchard, 2014; Logue et al., 2017; Rostami,
Agyemang, & Pithawalla, 2018; Rostami et al., 2016). The importance of understanding
toxicity in susceptible populations from passive exposures was raised by possible adverse
health effects such as bronchodilation of neonatal bronchial rings (see Section 7.3).
Additionally, adults exposed to secondhand aerosol experienced respiratory irritation and
reviewed literature documented activation of respiratory irritation signals (see Section 7.5).
Unfortunately, the influence of flavored e-liquids and flavoring chemicals on passive
exposures has not been thoroughly explored to date, in part because generation of a
meaningful secondhand aerosol exposure poses technical challenges. For example, it is
infeasible for a user to reproducibly generate secondhand aerosol to expose cells,
experimental animals, or humans, especially for sub-chronic and chronic inhalation studies.
A smoking machine can be used to reproducibly generate aerosol, but the produced aerosol
represents mainstream aerosol. Hence, a critical research gap/opportunity is how to generate
a realistic secondhand aerosol for toxicity testing of flavored e-liquids. A possible solution
may be to reproducibly generate mainstream aerosol using a smoking machine and pass it
through a tube coated with surfactant to mimic aerosol interactions with lung airway lining
fluid (Davies et al., 2017; Sosnowski et al., 2018) to obtain a surrogate secondhand aerosol.
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In the future, it may be possible to use 3-dimensional printed lung models to better mimic
aerosol interactions with the respiratory tract compared with a simple tube model.
9.5.2. Research gap/opportunity 12
Does exposure to exhaled e-cigarette aerosols that form residues on surfaces result in
toxicity to receptors?: Studies of exposure potential have documented accumulation of
nicotine on surfaces in homes and vape shops as well as on clothing (Bush & Goniewicz,
2015; Khachatoorian, Jacob Iii, et al., 2019; Melstrom et al., 2017). Dermal uptake via
exposure to residues (or bulk e-liquids from spills, drips, etc.) on surfaces can be modeled
with knowledge of skin permeation rates. Frasch and Barbero (2017) have reported skin
permeation rates for nicotine differed between Ice Cold Menthol flavored (menthol
flavoring) and Lemon-Lime flavored (limonene flavoring) e-liquids (Frasch & Barbero,
2017). In general, there is a lack of understanding of the impact of flavorings in e-liquids on
skin permeation of nicotine and other toxicants present in e-liquids. Additionally, skin
permeation studies should include determination of rates using skin that is representative of
susceptible races and populations such as children and the elderly to account for age-specific
differences in elasticity and barrier characteristics.
9.6. Toxicology of EVALI
The EVALI outbreak began in 2019 and spread predominantly across the United States and
encompassed patients who inhaled aerosolized Δ
9
-THC, CBD, or nicotine e-liquids from
various legal and illegal sources. The number of cases and deaths attributed to the EVALI
outbreak has declined substantially due to several factors, including the identification of
VEA as the primary cause and the removal of it from e-cigarette, or vaping, products and
modifications in consumer behavior; however, the exact mechanism of action of VEA and if
other ingredients played a role remains unknown (Krishnasamy et al., 2020; Taylor et al.,
2019). In addition to the research gaps and opportunities described herein, Crotty Alexander
et al. has recently reported research priorities related to EVALI that were identified at a
workshop convened by the U.S. National Heart, Lung, and Blood Institute (Crotty Alexander
et al., 2020).
9.6.1. Research gap/opportunity 13
What additional information will further delineate the causative agent (s)s and
underlying mechanism(s) of EVALI?: Several lines of evidence suggest VEA is strongly
linked to EVALI (as detailed in Section 8.1). Besides VEA, it may be difficult to define
mechanisms or additional potential causative agents responsible for EVALI using
in vitro
or
in vivo
methods because of the inherent variability in products (whether legitimate or illicit),
product use characteristics of users, and the limited availability of the actual products
responsible for eliciting disease for toxicity testing. Further complicating the search for a
causative agent is the potential for thinning agents to form toxic aldehyde gases when heated
in an electronic delivery system and their reactivity, which may necessitate use of trapping
molecules for accurate measurement (Muthumalage, Friedman, et al., 2020; Troutt &
DiDonato, 2017; Wu & O’Shea, 2020). Research gaps/opportunities related to identification
of potential contributors to EVALI include, but are not limited to: 1) selection of an
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appropriate test system, 2) creation of surrogate e-liquids with reasonable similarity to those
that elicited a toxic response in cases, 3) characterization of a meaningful vaping topography
that is representative of cases, 4) generation and characterization of gas and liquid phase
constituents for representative puff topographies, and 5) development of representative dose
estimates to recreate conditions that yielded EVALI cases. Toward this last gap, De Jesús et
al. recently published analytical methods to determine terpenes and petroleum distillates in
BALF, which will enable improved dose modeling for EVALI (De Jesús et al., 2020; De
Jesús, Silva, Newman, & Blount, 2020).
Mechanisms such as lipoid pneumonia and chemical pneumonitis were postulated to explain
observed clinical features of EVALI cases (Chand et al., 2019; Davidson et al., 2019). To
understand EVALI requires elucidation of the physical, chemical, and toxicological
properties of e-liquids implicated in cases of disease. Researchers have reported chemical
characterization of bulk e-liquid obtained from EVALI cases or analysis of BALF (see
Section 8); however, no assessment of the physical characteristics of aerosolized e-liquids
that contain Δ
9
-THC or CBD have been conducted to date. Characterization of the physical
properties of aerosolized e-liquids in EVALI cases are needed to understand regional lung
deposition of liquid droplets. Characterization of chemical thermal degradation products in
aerosolized e-liquids from EVALI cases is important to understand the formation of
secondary reaction products that may be harmful or react to form harmful compounds.
Additionally, the partitioning of hazardous substances between the gas and liquid droplet
phases is important for understanding dose. Mechanistic toxicology studies are needed to
better understand this disease process, identify biomarkers of effect, and reduce future
morbidity and, in some cases, mortality.
10. Conclusions
Available scientific evidence indicates that use of e-cigarettes is not without risk of harm.
Flavorings in e-liquids as well as new substances formed during heating and aerosolization
of e-liquids can induce adverse effects in several organ systems:
Respiratory system–Some flavored e-liquids and flavoring constituents were
cytotoxic to cells encountered throughout the respiratory tract; mixtures of
flavorings were more cytotoxic compared with individual flavoring constituents.
Flavored e-liquids induced respiratory oxidative stress and inflammatory
responses. Further, cinnamaldehyde, ethyl vanillin, benzaldehyde, and
benzaldehyde PG acetal flavorings attenuated the oxidative burst capacity of
neutrophils. ROS generation and secretion of proinflammatory signaling
molecules following exposure to flavored e-liquids and flavoring chemicals is
substance-specific. Exposure to e-liquids can also alter signaling molecules that
are important for maintenance of mucociliary clearance. Exposure to aerosolized
flavored e-liquids reduced the phagocytic capacity of macrophages and
neutrophils and suppressed NK cells. Aerosolized flavored e-liquids impaired
respiratory tract epithelial cell junctions and compromised this protective barrier.
Collectively, exposure to flavored e-liquids and their flavoring ingredients
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inhibits many powerful components of the body’s respiratory defense
mechanisms against inhaled foreign materials.
Cardiovascular and circulatory systems – Some aerosolized flavored e-liquids
were cytotoxic to myocardial fibroblast cells and lung artery smooth muscle
cells. Exposure to some flavored e-liquid aerosols disrupted umbilical vein
endothelial cell monolayer junctions, induced time-dependent dysregulation of
cell membrane potential in cardiac myocytes and suppressed NO production by
human aortic epithelial cells. Collectively, these data support the conclusion that
certain flavored e-liquids and flavoring chemicals may cause endothelial
dysfunction similar to smoking regular tobacco cigarettes.
Developmental effects – Specific flavored e-liquids were more cytotoxic to
human embryonic stem cells compared with differentiated adult HPF cells;
among flavorings, cinnamaldehyde and 2-methoxycinnamaldehyde were the
most cytotoxic flavoring constituents. Additionally, some flavored e-liquids
induced bronchodilation of neonatal but not adult bronchial rings, which
suggested that newborns and infants exposed to e-cigarette aerosol could be at
risk of developmental effects.
Skeletal system – Some aerosolized flavored e-liquids increased biofilm
formation and decreased enamel hardness of teeth compared with aerosolized
unflavored e-liquids. Aerosolized flavored e-liquids that contained ethyl butyrate,
hexyl acetate, and triacetin were associated with bacteria-initiated
demineralization of enamel and ethyl maltol inhibited
Streptococcus mutans
growth and adhesion. Once in the body, some flavored e-liquids and/or
aerosolized flavored e-liquids can impair bone health via cytotoxicity, ROS
production, and alteration of osteoblast gene function via upregulation of Col1a1
mRNA and cause development of microcracks in cortical areas of bones in mice.
Hence, inhalation of certain flavored e-liquids can induce negative cariogenic
and skeletal effects.
Allergenicity and irritation – One study measured changes in the transcriptional
profiles of genomic biomarkers relevant to respiratory or dermal sensitization;
two flavored e-liquids were classified as weak dermal sensitizers. One mouse
in
vivo
study indicated that aerosolized flavored e-liquids without nicotine had
varied effects on allergic airways disease. Flavored e-liquids and flavoring
ingredients can also induce irritation responses.
In vitro
, HEK-293T cells were
transfected with either human TRPA1 or TRPV1 plasmid DNA to express these
respiratory cell irritation receptors; all flavorings evaluated and their PG acetals
activated the aldehyde-sensitive TRPA1 irritant receptors and the free aldehydes
benzaldehyde, ethylvanillin, and vanillin only weakly activated TRPV1 vanilloid
receptors. Hence, exposure to flavored e-liquids can induce allergenic and
irritative responses in the respiratory tract.
Genotoxicity – Certain aerosolized flavorings such as cinnamaldehyde induce
genotoxicity at non-cytotoxic concentrations. Exposure of oropharyngeal mucosa
tissue, Ca9-22 oral gingival squamous carcinoma cells, and CAL-27 human
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tongue squamous cells to certain e-liquids indicated potential risk for
development of HNSCC. Menthol flavoring in e-liquids was shown to induce
cellular DNA damage and chromosomal damage
in vitro
. In a human study,
volunteers who used a tobacco-flavored e-liquid without nicotine had
significantly higher levels of micronucleus formation in oral buccal cells
compared with air-exposed controls. In summary, exposure to certain flavored e-
liquids can induce genotoxic or mutagenic responses in several cell models and
in humans, which raises the possibility for cancers.
Skin – One
in vitro
study reported that skin cells exposed to aerosolized
Balsamic flavored e-liquid exhibited cell damage, increased vacuolization,
alteration of cytoplasmic membrane changes, and release of the inflammatory
cytokine IL-8. Hence, as with regular tobacco cigarette smoke, exposure to
certain flavorings used in e-liquids can have negative impacts on the skin.
EVALI – VEA is strongly linked to EVALI; however, the mechanism or
mechanisms by which VEA causes EVALI is currently unclear. One hypothesis
is that the aliphatic tail of VEA could penetrate a layer of lung surfactant to align
the molecule in parallel with phospholipids, thereby interfering with surfactant
function. Another hypothesis is that ethenone gas, which is released when VEA
is heated and aerosolized using an e-cigarette, could be a contributing factor. One
evaluation of e-liquid cartridges obtained from EVALI patients reported the
presence of VEA and Δ9-THC as well as hydrocarbons, siloxanes, terpenes,
flavorings, cannabinoids, pesticides, plasticizers, polycaprolactones, and low
levels of metals in bulk e-liquids; terpenes, pesticides, solvents, and carbonyl
compounds were quantified in aerosolized e-liquids. Another study of e-liquids
used for cannabis delivery reported formation of new carbonyls, alkyl alcohols,
long chain alcohols, short chain esters, carboxylic acids, short chain alkanes, and
quinones. Recently, research groups have reported development of a murine
model for EVALI, which will help understand exposure and mechanisms of
toxicity.
Acknowledgements
The authors would like to thank P. Erdely and D. Weissman at NIOSH and J. Fowles at the California Department
of Public Health for critical review of this manuscript prior to its submission to the journal. The authors also thank
JR Wells and ED Arnold at NIOSH for helpful discussions on carbonyl and flavorings chemistry.
Funding Source
Financial support for this review was from NIOSH intramural funds. The funding source was not involved in the
conduct or preparation of the review or in the decision to submit the paper for publication.
List of abbreviations
ABB
alveolar-blood barrier
ALI
air-liquid interface
BALF
bronchoalveolar lavage fluid
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BHO
butane hashish oil
CBD
cannabidiol
CXCL
chemokine (C-X-C motif) ligand
CHO
Chinese hamster ovary cells
CORESTA
Cooperation Centre for Scientific Research Relative to Tobacco
Δ
9
-THC
delta-9-tetrahydrocannabinol
ENDS
electronic nicotine delivery system
EVALI
e-cigarette, or vaping, product use-associated lung injury
FDA
U.S. Food and Drug Administration
GARD
Genomic Allergen Rapid Detection testing strategy
GRAS
generally recognized as safe
H
2
O
2
hydrogen peroxide
HBE
human bronchial epithelial cells
HESC
human embryonic stem cells
hiPSC-MC
human induced pluripotent stem cell-derived lung epithelial cells
hiPSC-MC
human induced pluripotent stem cell-derived cardiac myocyte cells
HNSCC
head and neck squamous cell cancer
HPF
human primary pulmonary fibroblast cells
HTS
high-throughput screening
IL
interleukin
ISO
International Organization for Standardization
MCT
medium chain triglyceride oils
mg
milligram
mL
milliliter
MM6
human blood monocyte cells
NET
neutrophil extracellular trap
NO
nitric oxide
NYTS
National Youth Tobacco Survey
PATH
Population Assessment of Tobacco and Health
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PG
propylene glycol
ROS
reactive oxygen species
VEA
vitamin-E acetate
VG
vegetable glycerin
V
volt
W
watt
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Fig. 1.
Schematics of e-cigarette generations. For more information on electronic delivery systems
for nicotine or cannabis, e-liquids, and practices in altering devices to change delivery see
the “E-Cigarette, or Vaping, Products Visual Dictionary” freely available at https://
www.cdc.gov/tobacco/basic_information/e-cigarettes/pdfs/ecigarette-or-vaping-products-
visual-dictionary-508.pdf
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Fig. 2.
Flow diagram of literature search conducted in April 2020 and again in July 2020
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Fig. 3.
Aerosolized flavored e-liquids and target organs/systems within the body including known
toxic responses and potential adverse health effects.
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Table 1
Sixty-five flavoring ingredients in non-cannabis e-liquids demonstrated to induce toxic effects on cells.
Flavorings by functional group CAS # Flavor Study
Alcohols
Benzyl alcohol 100-51-6 Floral Leigh et al. (2016); Behar, Luo, et al. (2018)
Dipropylene glycol 110-98-5 Mildly alcoholic Behar, Davis, Bahl, et al. (2014)
Ethanol 64-17-5 Alcoholic, rummy Otreba et al. (2018)
Maltol 118-71-8 Sweet, Cotton candy Gerloff et al. (2017), Behar, Luo, et al. (2018), Kim et al. (2018), Muthumalage et al. (2018), Kerasioti et al. (2020),
Szafran et al. (2020)
Phenethyl alcohol 60-12-8 Fruit, Honey, Lilac Marescotti et al. (2020)
Aldehydes
p-Anisaldehyde 123-11-5 Anise Behar, Luo, et al. (2018), Berkelhamer et al. (2019), Noël et al. (2020)
Benzaldehyde 100-52-7 Almond Behar, Luo, et al. (2018), Berkelhamer et al. (2019), Erythropel et al. (2019), Hickman et al. (2019)
Cinnamaldehyde 104-55-2 Cinnamon Behar, Davis, Bahl, et al. (2014), Behar et al. (2016), Bengalli et al. (2017), Clapp et al. (2017), Gerloff et al. (2017),
Behar, Luo, et al. (2018), Fetterman et al. (2018), Muthumalage et al. (2018), Sassano et al. (2018), Bishop et al.
(2019), Clapp et al. (2019), Hickman et al. (2019), Nystoriak et al. (2019), Noël et al. (2020), Tsai et al. (2020)
2-Methoxycinnamaldehyde 1504-74-1 Cinnamon Behar, Davis, Bahl, et al. (2014)
Isovaleraldehyde 590-86-3 Fruity, Nutty Berkelhamer et al. (2019)
3-(methylthio) propionaldehyde 3268-49-3 Cooked potato, Soy Marescotti et al. (2020)
5-Methyl-2-phenylhex-2-enal 21834-92-4 Cocoa Leigh et al. (2016)
Piperonal 120-57-0 Cherry, Vanilla Bitzer et al. (2018)
Ethyl vanillin (121-32-4 Floral Bengalli et al. (2017), Bitzer et al. (2018), Otreba et al. (2018), Clapp et al. (2019), Erythropel et al. (2019),
Hickman et al. (2019), Szafran et al. (2020)
o-Vanillin 148-53-8 Vanilla Gerloff et al. (2017), Muthumalage et al. (2018)
Vanillin 121-33-5 Vanilla Behar, Davis, Bahl, et al. (2014), Behar, Luo, et al. (2018), Fetterman et al. (2018), Muthumalage et al. (2018),
Sassano et al. (2018), Clapp et al. (2019), Erythropel et al. (2019), Hickman et al. (2019), Omaiye et al. (2019),
Kerasioti et al. (2020), Noël et al. (2020), Rowell et al. (2020), Szafran et al. (2020)
Alkenes
Estragole 140-67-0 Anise, Licorice Noël et al. (2020)
Arenes
t-Anethole 4180-23-8 Anise Noël et al. (2020)
Carboxylic acids
Propionic acid 79-09-4 Fruit Kerasioti et al. (2020)
Chromanones
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Flavorings by functional group CAS # Flavor Study
Coumarin 91-64-5 Sweet, Hay Gerloff et al. (2017), Muthumalage et al. (2018)
Cinnamon oil 84961-46-6 Cinnamon Bengalli et al. (2017)
Esters
Allyl-cyclohexylpropanoate 2705-87-5 Pineapple Leigh et al. (2016)
Allyl hexanoate 123-68-2 Pineapple Marescotti et al. (2020)
Ethyl acetate 141-78-6 Aromatic, brandy Kerasioti et al. (2020)
Ethyl butyrate 105-54-4 Pineapple Kim et al. (2018), Kerasioti et al. (2020)
(E)-Cinnamyl acetate 21040-45-9 Sweet, Floral, Spicy Berkelhamer et al. (2019)
Ethyl cinnamate 103-36-6 Cinnamon, Floral Behar, Luo, et al. (2018)
Hexyl acetate 142-97-7 Apple Kim et al. (2018), Kerasioti et al. (2020)
Isoamyl acetate 123-92-2 Banana Fetterman et al. (2018)
Methyl anthranilate 134-20-3 Flower, Honey, Peach Marescotti et al. (2020)
Methyl cinnamate 103-26-4 Balsamic, Strawberry Leigh et al. (2016), Berkelhamer et al. (2019)
Methyl 3-hydroxyhexanoate 21188-58-9 Fruit Leigh et al. (2016)
Triacetin 102-76-1 Creamy, Velvety Behar, Luo, et al. (2018), Kim et al. (2018)
Ketones
a
Acetoin 513-86-0 Butter, Dairy Gerloff et al. (2017), Muthumalage et al. (2018), Kerasioti et al. (2020)
2-Acetylthiazole 24295-03-2 Nut, Popcorn Marescotti et al. (2020)
Damascenone 23726-93-4 Apple, Wine-like Sherwood and Boitano (2016)
β-Damascone 35044-68-9 Floral Leigh et al. (2016), Bitzer et al. (2018)
α
-Ionone 127-41-3 Raspberry Sherwood and Boitano (2016)
3-Methyl-2,4-nonanedione [D] 113486-29-6 Fruit, Hay, Straw Marescotti et al. (2020)
3-Methylcyclopentane-1,2-dione [D] 765-70-8 Sweet, Maple, Bready Leigh et al. (2016)
Diacetyl (2,3-butanedione) [α-D] 431-03-8 Butter, Dairy Behar et al. (2016), Gerloff et al. (2017), Fetterman et al. (2018), Muthumalage et al. (2018), Park et al. (2019)
Pentanedione [D] 123-54-6 Buttery, Caramelly Gerloff et al. (2017)
2,3-Pentanedione [α-D] 600-14-6 Butter, Dairy Muthumalage et al. (2018), Park et al. (2019), Kerasioti et al. (2020)
Raspberry ketone 5471-51-2 Citrus, Raspberry Otreba et al. (2018)
Lactones
γ-Decalactone 706-14-9 Fruity, Creamy Leigh et al. (2016), Bitzer et al. (2018)
δ-Tetradecalactone 2721-22-4 Fruity, Creamy Bitzer et al. (2018)
Phenols
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Flavorings by functional group CAS # Flavor Study
Eugenol 97-53-0 Clove Behar, Luo, et al. (2018), Fetterman et al. (2018), Noël et al. (2020)
Guaiacol 90-05-1 Burnt, Wood Marescotti et al. (2020), Szostak et al. (2020)
Propenyl guaethol 94-86-0 Vanilla, anise Kerasioti et al. (2020)
Propylene glycol reaction acetals
Benzaldehyde PG acetal 2568-25-4 Floral Erythropel et al. (2019), Hickman et al. (2019)
Cinnamaldehyde PG acetal 4353-01-9 Cinnamon Noël et al. (2020)
Ethyl vanillin PG acetal 68527-76-4 Dairy Bitzer et al. (2018), Erythropel et al. (2019)
Vanillin PG acetal 68527-74-2 Floral Erythropel et al. (2019), Rowell et al. (2020)
Pyrazines
Acetylpyrazine 22047-25-2 Toasted Cereal Fetterman et al. (2018)
2,5-Dimethylpyrazine 123-32-0 Chocolate Sherwood and Boitano (2016), Fetterman et al. (2018)
Pyrones
Ethyl maltol 4940-11-8 Caramel Sherwood and Boitano (2016), Behar, Luo, et al. (2018), Bitzer et al. (2018), Kim et al. (2018), Otreba et al. (2018),
Clapp et al. (2019), Omaiye et al. (2019), Rowell et al. (2020)
Terpenoids
b
Carvone [K] 99-49-0 Basil, Caraway, Fennel Leigh et al. (2016), Bengalli et al. (2017)
Citral 5392-40-5 Lemon Bitzer et al. (2018)
Citronellol [A] 106-22-9 Citrus Marescotti et al. (2020)
Eucalyptol [E] 470-82-6 Camphor, Eucalyptol Fetterman et al. (2018)
Limonene 138-86-3 Lemon Leigh et al. (2016), Bitzer et al. (2018), Noël et al. (2020)
Linalool [A] 78-70-6 Floral, Spice Sherwood and Boitano (2016), Bitzer et al. (2018), Berkelhamer et al. (2019), Kerasioti et al. (2020), Marescotti et
al. (2020)
Menthol [A] 89-78-1 Mint Leigh et al. (2016), Bengalli et al. (2017), Behar, Luo, et al. (2018), Fetterman et al. (2018), Otreba et al. (2018),
Berkelhamer et al. (2019), Omaiye et al. (2019), Kerasioti et al. (2020), Al-Saleh et al. (2020)
Menthone [K] 89-80-5 Mint Behar, Luo, et al. (2018)
α
-Pinene 80-56-8 Cedarwood, Pine Berkelhamer et al. (2019), Marescotti et al. (2020)
Pulegone 89-82-7 Mint, Cool Berkelhamer et al. (2019)
a
Ketones [D = Diketone, α-D = α-Diketone]
b
Terpenoids [A = alcohol, E = ether, K = ketone]
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Table 2
Chronological summary of flavoring-induced
in vitro
toxicity literature. Unless otherwise noted, all flavored e-liquids are commercial products.
Study
Type
a
Cells System
Modeled
Source
Summary
b
Bahl et al.
(2012)
Submerged HESC
MNSC
HPF
Developmental
Developmental
Respiratory
Human – embryonic
stem cells
Mouse – primary,
neural stem cells
Human – primary,
pulmonary
fibroblasts
Screened 36 flavored e-liquids for cytotoxicity.
Flavoring chemicals and their concentrations varied among e-liquids of the same
flavor both within and between manufacturers.
Twelve butterscotch, caramel, coffee, fruit, chocolate, menthol, tobacco, and
cinnamon flavored e-liquids were considered “highly cytotoxic”; Cinnamon Ceylon e-
liquid most cytotoxic (MTT assay).
Stem cells (HESC, MNSC) generally more sensitive to effects than differentiated adult
lung cells (HPF).
Cytotoxicity was correlated to the number and concentrations of flavoring chemicals
in e-liquids.
Farsalinos et al.
(2013)
Submerged H9c2 Cardiovascular Rat – myoblasts
Screened 20 flavored e-liquids aerosolized at 3.7 V (6.2 W power) – none were
cytotoxic to myocardial fibroblasts, except undiluted Cinnamon and Cookies product
(MTT assay).
Four flavored e-liquids were aerosolized at 3.7 V and 4.5 V (9.2 W power); none were
cytotoxic and there was no difference in response between power levels.
Romagna et al.
(2013)
Submerged BALB/3T3
fibroblasts
Respiratory Mouse – embryonic
fibroblasts
Screened 21 flavored e-liquids.
Aerosolized e-liquids were generally not cytotoxic, except for undiluted Coffee flavor
(MTT assay).
Behar, Davis,
Wang, et al.
(2014)
Submerged HESC
HPF
Developmental
Respiratory
Human – embryonic
stem cells
Human – primary,
pulmonary
fibroblasts
Eight cinnamon-flavored e-liquids induced varying cytotoxicity via direct exposure of
volatile constituents to cells (MTT assay).
Cinnamaldehyde and 2-methoxycinnamaldehyde were most cytotoxic flavorings in the
e-liquids.
Stem cells (HESC) generally more sensitive to effects than differentiated adult lung
cells (HPF).
Cervellati et al.
(2014)
Submerged HaCaT
A549
Skin
Respiratory
Human – primary,
epidermal
keratinocytes
Human – lung,
epithelial
Cytotoxicity and cell damage attributed to flavoring constituents in aerosolized
Balsamic flavored e-liquid for both cell types (Trypan blue and LDH assays,
respectively).
Misra et al.
(2014)
Submerged A549
CHO-K1
Respiratory
Genotoxicity
Human – lung,
epithelial
Hamster – ovarian
Evaluated Classic Tobacco and Magnificent Menthol flavored e-liquids.
No cytotoxicity (NRU uptake) in A549 cells exposed to flavored e-liquids or
aerosolized flavored e-liquids.
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Study
Type
a
Cells System
Modeled
Source
Summary
b
No mutagenicity (Ames assay) observed for flavored e-liquids or aerosolized flavored
e-liquids.
No genotoxicity (micronucleus assay) observed in CHO-K1 cells exposed to flavored
e-liquids or aerosolized flavored e-liquids.
Release of inflammatory cytokine IL-8 by A549 cells lower for flavored e-liquids
compared with other tobacco product extracts. No IL-8 released by cells exposed to
aerosolized flavored e-liquids.
Lerner et al.
(2015)
Cell-free
Submerged
N/A
HFL-1
Respiratory
Respiratory
N/A
Human – normal,
fibroblasts
Evaluated 22 flavored e-liquids.
E-liquids exhibited oxidant activity when reacted directly with the DCFH-DA probe
that depended on the presence of flavoring additives.
Sweet or fruit flavored e-liquids (dessert, fruit, candy) were stronger
oxidizers than tobacco flavored e-liquids.
IL-8 release by HFL-1 cells higher for Cinnamon Roll flavored e-liquid compared
with other flavored e-liquids.
Behar et al.
(2016)
Submerged HESC
HPF
A549
Developmental
Respiratory
Respiratory
Human – embryonic
stem cells
Human – primary,
pulmonary
fibroblasts
Human – lung,
epithelial
Screened 39 flavored e-liquids for cinnamaldehyde content.
Aerosolized Cinnamon Ceylon flavored e-liquid and cinnamaldehyde flavoringwere
cytotoxic (MTT assay); increased with e-cig voltage from 3 V (4.2 W power) to 5 V
(11.9 W).
Aerosolized cinnamaldehyde flavoring decreased HESC growth, attachment and
spreading; altered cell morphology and motility; increased DNA strand breaks; and
increased cell death at non--cytotoxic levels.
Aerosolized cinnamaldehyde flavoring was genotoxic in HESC and HPF cells at levels
that were not cytotoxic.
Leigh et al.
(2016)
ALI H292 Respiratory Human – epithelial
Evaluated Tobacco, Piña Colada, Menthol, Coffee, and Strawberry flavored e-liquids.
All aerosolized flavored e-liquids decreased cell viability and metabolic activity;
Strawberry most potent.
Aerosolized Coffee and Strawberry e-liquids induced release of IL-1β and IL-6,
IL-10, CXCL1, CXCL2 and CXCL10; Strawberry most potent.
Putzhammer et
al. (2016)
Submerged HUVEC Cardiovascular Human – umbilical/
vascular endothelial
Evaluated three different e-cig designs (disposable e-cigarettes, e-cigarettes with a
cartridge, e-cigarettes with refillable liquid) and 11 flavored e-liquids.
Aerosolized Berry and Herbal flavored e-liquids were highly cytotoxic (AxV/PI
staining), significantly reduced cellular proliferation, caused morphological
alterations, and disrupted the endothelial monolayer, but generate little intracellular
ROS (DCFH-DA probe).
Sherwood and
Boitano (2016)
Submerged
ALI
16HBE14o-
MTE
Respiratory
Respiratory
Human – bronchial
epithelial
Performed high capacity screening of 7 flavorings used in e-liquids.
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Study
Type
a
Cells System
Modeled
Source
Summary
b
Mouse – primary
tracheal
2,5-dimethypyrazine, damascenone, linalool,
α
-ionone, and ethyl maltol were
cytotoxic at highest concentrations tested in 16HBE14o- cells (RTCA method).
2,5-dimethylpyrazine:
Reduced the response to cellular signaling in 16HBE14o- cells.
Reduced barrier integrity of MTE cells.
Singh, Arrazola,
et al. (2016)
Submerged Beas-2B Respiratory Human – lung
bronchus
Evaluated 18 flavored e-liquids.
Menthol, Tobacco and Butterscotch flavored e-liquids most cytotoxic (MTT assay).
Grape, Blueberry, Cherry and some Menthol blend flavored e-liquids produced the
lowest toxicity for the brands tested.
Sundar et al.
(2016)
ALI HPdLF
HGEPp
EpiGingival
(Gin 100)
Respiratory
Respiratory
Respiratory
Human – ligament
fibroblasts
Human – primary,
gingival epithelial
Human – normal,
oral epithelial
Evaluated Magnificent Menthol flavored and Classic Tobacco flavored e-liquids.
Aerosolized Magnificent Menthol and Classic Tobacco flavored e-liquids increased
secretion of IL-8 cells in HPdLF cells compared with air exposed controls (nicotine
levels not controlled for between flavors).
Aerosolized Magnificent Menthol flavored e-liquid increased secretion of COX-2,
S100A8, and RAGE and increased phosphorylated γH2A.X (Ser139) DNA damage
marker compared with air exposed controls in HPdLF cells.
Aerosolized Classic Tobacco e-liquid induced a significant increase in S100A8 and
γH2A.X compared with air exposed controls in HPdLF cells.
Aerosolized Classic Tobacco e-liquid induced significant DNA damage (comet assay)
compared with air exposed controls in HPdLF cells.
Aerosolized Magnificent Menthol and Classic Tobacco flavored e-liquids increased
secretion of PEG
2
in a 3D model of EpiGingival tissues compared with air exposed
controls (nicotine levels differed between flavors).
Welz et al.
(2016)
Submerged Oropharyngeal
mucosa tissue
Respiratory N/A
Evaluated Apple, Cherry, and Tobacco flavored e-liquid and corresponding base
mixtures (free of nicotine and flavors).
Apple and Cherry flavored e-liquids were more cytotoxic and induced greater DNA
fragmentation than Tobacco flavored e-liquid.
All flavored e-liquids cytotoxic compared to control; Apple flavored e-liquid more
cytotoxic compared with Tobacco flavored e-liquid.
Apple and Cherry flavored e-liquids induced DNA fragmentation (comet assay),
whereas Tobacco flavored e-liquid did not.
Bengalli et al.
(2017)
Submerged A549
ABB co-culture
(NCI-H441 +
HPMEC-
ST1.6R)
Respiratory
Respiratory
Human – lung,
epithelial
Human – lung,
epithelial +
Human – pulmonary
Evaluated cell viability, cytokine release, and alveolar-blood barrier (ABB) integrity
of aerosolized Tobacco, Mint, and Cinnamon flavored e-liquids.
Aerosolized Mint and Cinnamon flavored e-liquids induced cytotoxicity (MTT and
Alamar blue assays) in A549 monoculture and ABB co-cultures.
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Study
Type
a
Cells System
Modeled
Source
Summary
b
microvascular
endothelial
Aerosolized Cinnamon flavored e-liquid provoked release of pro-inflammatory
cytokine IL-8 and MCP-1 in A549 cells only.
Aerosolized Cinnamon and Mint flavored e-liquids affected ABB barrier integrity
(TEER).
Clapp et al.
(2017)
Submerged Macrophage
Neutrophil
Natural Killer
Respiratory
Respiratory
Circulatory
Human – primary
from lavage
Human – primary
from blood
collection
Human – primary
from blood
collection
Evaluated 7 flavored e-liquids.
Alveolar macrophages:
Kola and Sini-cide flavored e-liquids impaired phagocytic capacity.
Observed flavoring-dependent increase or suppression of IL-6 and IL-8
secretion.
Neutrophil cells:
Most flavored e-liquids impaired phagocytic capacity and induced an
increase in IL-8 secretion.
Flavored e-liquids and aerosolized flavored e-liquids induced comparable
impairment of phagocytic capacity.
Natural Killer cells:
Cinnamon flavored e-liquids suppressed killing of target cells.
Cinnamaldehyde flavoring impaired phagocytic capacity of macrophages and
neutrophils and suppressed cell killing by natural killer cells.
Gerloff et al.
(2017)
Submerged Beas-2B
H292
HFL-1
HBE
Respiratory
Respiratory
Respiratory
Respiratory
Human – lung
bronchus
Human – epithelial
Human – normal,
fibroblasts
Human – bronchial
epithelial
Evaluated the effect of acetoin, diacetyl, pentanedione, maltol, ortho-vanillin,
coumarin, and cinnamaldehyde flavoring chemicals in laboratory prepared e-liquids.
Cell viability not influenced by any of the flavorings at the tested concentrations
(AO/PI staining).
Acetoin, diacetyl, maltol, and o-vanillin induced IL-8 release in Beas-2B cells.
Acetoin, pentanedione, maltol, and ortho-vanillin induced IL-8 release in HFL-1 cells.
Of all flavoring chemicals, acetoin and maltol were more potent inducers of IL-8
release in Beas-2B and HFL-1 cells.
Acetoin, maltol, and cinnamaldehyde flavoring chemicals rapidly impaired epithelial
barrier function in 16-HBE cells.
Leslie et al.
(2017)
Submerged Beas-2B
IB3–1
C38
CALU3
Wi-38
J774
THP-1
*
Respiratory
Respiratory
Respiratory
Respiratory
Respiratory
Respiratory
Respiratory
Human – lung
bronchus
Human – bronchial
Human – bronchus
Human – lung
epithelial
Human – diploid
lung fibroblasts
Mouse – monocyte
macrophage
Evaluated 10 flavored e-liquids.
Aerosolized Cherry and Strawberry flavored e-liquids had dose--dependent
cytotoxicity in C38 cells.
Aerosolized Cherry, Strawberry, and a Tobacco flavored e-liquids had dose-dependent
cytotoxicity in Beas-2B cells.
Another brand of aerosolized Tobacco flavored e-liquid cytotoxic at two highest doses
in Beas-2B cells.
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Study
Type
a
Cells System
Modeled
Source
Summary
b
Human – monocyte
peripheral blood
Aerosolized Strawberry and Tobacco flavored e-liquids cytotoxic at highest dose in
IB3-1 and J774.
Cytotoxicity of aerosolized Tobacco flavored e-liquids was variable among different
manufacturers.
Among all flavors tested, aerosolized Strawberry e-liquid was the most potent in all
cell lines except THP-1 and Wi-38 cells.
Rowell et al.
(2017)
Submerged CALU3 Respiratory Human – lung
epithelial
Screened 13 flavored e-liquids.
All e-liquids cytotoxic (MTT assay).
Banana Pudding, Kola, Hot Cinnamon Candies, Menthol Tobacco e-liquids more
cytotoxic:
Exhibited dose-dependent decreases in cell number (DAPI fluorescence).
Decreased viable cell count.
Decreased mitochondrial activity.
All but Banana Pudding induced significant cell damage (LDH release).
All contained cinnamaldehyde and vanillin flavorings.
Aerosolized Banana Pudding and Hot Cinnamon Candies flavored e-liquids:
Exhibited dose-dependent decreases in cell number.
Decreased viable cell count.
Ween et al.
(2017)
Submerged
THP-1
*
Respiratory Human – monocyte
peripheral blood
Evaluated influence of three Apple flavored e-liquids with and without nicotine and
their humectant components.
None of the aerosolized Apple flavored e-liquids were cytotoxic (LDH assay).
All the aerosolized Apple flavored e-liquids impaired phagocytosis of bacteria
compared with control.
All the aerosolized Apple flavored e-liquids reduced the surface expression of the
phagocytosis receptor, scavenger receptor (SR)-A1 compared with control.
All the aerosolized Apple flavored e-liquids increased secretion of IL-8.
All the aerosolized Apple flavored e-liquids decreased secretion of IL-6 and MCP-1.
Some aerosolized Apple flavored e-liquids decreased secretion of TNF-α, IL-1b,
MIP-1a, and MIP-1b.
Behar, Luo, et al.
(2018)
Submerged HPF
A549
Respiratory
Respiratory
Human – primary,
pulmonary
fibroblasts
Human – lung,
epithelial
Screened 39 flavored e-liquids.
Identified 12 flavorings (cinnamaldehyde, menthol, benzyl alcohol, vanillin, eugenol,
p-anisaldehyde, ethyl cinnamate, maltol, ethyl maltol, triacetin, benzaldehyde, and
menthone) present in high concentrations in screened e-liquids.
Pharmacol Ther
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Study
Type
a
Cells System
Modeled
Source
Summary
b
Aerosolized laboratory prepared e-liquid of each flavoring caused cytotoxicity (MTT
assay).
Cytotoxicity increased with e-cig voltage from 3 V (4.3 W power) and 5 V (11.9 W
power).
Behar, Wang,
and Talbot
(2018)
Submerged HESC
HPF
A549
Developmental
Respiratory
Respiratory
Human – embryonic
stem cells
Human – primary,
pulmonary
fibroblasts
Human – lung,
epithelial
Evaluated 36 flavored e-liquids.
Aerosolized creamy/buttery, tobacco, mint/menthol, and fruit flavors were cytotoxic; 6
of 14 ‘creamy’ e-liquid products were the most potent (MTT assay).
E-liquid cytotoxicity was generally predictive of aerosolized e-liquid toxicity.
Bitzer et al.
(2018)
Cell-free N/A Respiratory N/A
Evaluated 49 flavored e-liquids.
10 flavorings in e-liquids strongly modulated free radical generation in dose-
dependent manner: β-damascone, δ-tetradecalactone, γ-decalactone, citral, dipentene,
ethyl maltol, ethyl vanillin, ethyl vanillin PG acetal, linalool, and piperonal.
Linalool, piperonal, and citral caused significant increases of lipid peroxidation
products.
Fetterman et al.
(2018)
Submerged HAEC Cardiovascular Human – aortic
endothelial
Evaluated the effect of heated vanillin, menthol, cinnamaldehyde, eugenol,
dimethylpyrazine, diacetyl, isoamyl acetate, eucalyptol, and acetylpyrazine flavorings
on aortic endothelial cells.
Menthol and eugenol flavorings impaired stimulated nitric oxide (NO) production in
freshly isolated cells from healthy donors.
Cinnamaldehyde, eugenol, dimethylpyrazine, isoamyl acetate, and eucalyptol
cytotoxic at high concentrations (TUNEL assay).
At cytotoxic concentrations, only vanillin and eugenol increased oxidative stress
(DHE fluorescence).
Exposure of HAEC to five flavorings (vanillin, menthol, cinnamaldehyde, eugenol,
and acetylpyridine):
Stimulated IL-6 release (vanillin increased ICAM-1 expression).
Impaired stimulated NO oxide production consistent with endothelial
dysfunction.
Kim et al. (2018) Submerged
Streptococcus
mutans
Skeletal Bacteria
Evaluated laboratory prepared e-liquids composed of humectants, nicotine, and ethyl
butyrate, ethyl maltol, hexyl acetate, or triacetin flavorings.
S. mutans
on tooth enamel exposed to aerosolized flavorings increased biofilm
formation and decreased enamel hardness compared with aerosolized flavorless e-
liquids.
Aerosolized ethyl butyrate, hexyl acetate, and triacetin flavorings caused bacterial
demineralization of enamel.
Pharmacol Ther
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Study
Type
a
Cells System
Modeled
Source
Summary
b
Muthumalage et
al. (2018)
Submerged
Cell free
MM6
U937
N/A
Respiratory
Respiratory
Respiratory
Human – blood
monocyte
Human – pleura/
pleural lymphocyte
N/A
Evaluated 36 flavored e-liquids and 7 flavorings (cinnamaldehyde, diacetyl, acetoin,
2,3-pentanedione, o-vanillin, maltol, coumarin).
2,3-pentanedione, cinnamaldehyde, and o-vanillin flavorings cytotoxic to U937 cells
(AO/PI staining).
Cinnamaldehyde flavoring cytotoxic to MM6 cells (AO/PI staining).
Only Mystery Mix (menthol) caused appreciable cytotoxicity in U937 cells (AO/PI
staining).
Acetoin and 2,3-pentanedione flavorings generated ROS only at highest tested
concentration in cell-free system (DCFH-DA probe).
Diacetyl, cinnamaldehyde, maltol, o-vanillin, and coumarin flavorings generated
concentration-dependent ROS in cell-free system (DCFH-DA probe).
When aerosolized with a new atomizer, American Tobacco, Mystery Mix, and Mixed
Flavors e-liquids generated significant levels of ROS in cell-free system (DCFH-DA
probe).
When aerosolized with a used atomizer, Café Latte, Cinnamon Roll, and Cotton
Candy e-liquids generated significant levels of ROS in cell-free system (DCFH-DA
probe).
All flavorings except acetoin increased secretion of IL-8 in U937 cells; acetoin
suppressed IL-8 secretion.
Acetoin, cinnamaldehyde, and o-vanillin increased IL-8 secretion in MM6 cells.
Some flavored e-liquids increased IL-8 response whereas others suppressed secretion
in U937 cells.
Otreba et al.
(2018)
Submerged A549 Respiratory Human – lung,
epithelial
Evaluated cytotoxicity of Island Tobacco flavored (ethyl maltol, raspberry ketone,
menthol, ethyl vanillin, ethanol) e-liquids made with different humectants (VG, PG, or
PG/VG) compared with laboratory-prepared e-liquids with same composition but no
flavorings.
Aerosolized Island Tobacco flavored e-liquids were more cytotoxic (lower EC
50
)
compared with aerosolized laboratory prepared e-liquids without flavorings (WST-1
assay).
Cytotoxicity of aerosolized Island Tobacco flavored e-liquids increased with increased
e-cig voltage (4.8 V> 4.0 V> 3.2 V).
Sassano et al.
(2018)
Submerged
HAM
HEK-293T
**
A549
Respiratory
Respiratory
HASMC
Human –
primary, aorta
monocyte
Respiratory
Human – kidney
epithelial
Human – lung,
epithelial
Cardiovascular
Human – primary
alveolar macrophage
Evaluated flavored e-liquids using high-throughput screening assay.
Screened 148 flavored e-liquids:
Apple Pie, Banana Pudding (Southern Style), Black and Blue Cherries,
Blood Orange, Blue Pom, Chocolate Fudge, Chocolate Moo, Cool Mint,
French Vanilla Cinnamon Coffee, Grape Soda, Kola, Pumpkin Pie, Vanilla
Bean, and Vanilla Custard flavored e-liquids most impaired cell growth in
HEK-293T cells.
Pharmacol Ther
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Stefaniak et al. Page 86
Study
Type
a
Cells System
Modeled
Source
Summary
b
Chocolate Fudge, Hot Cinnamon Candies, and Vanilla Bean flavored e-
liquids induced most cytotoxicity in HEK-293T cells (calcein-AM assay).
Main evaluation of 148 flavored e-liquids:
Arctic Tobacco, Pumpkin Pie, Chocolate Banana, Cherry Kola, Kola, Hot
Cinnamon Candies, Mojito, Green Gummies, Vanilla Bean, and Menthol
Tobacco flavored e-liquids induced most cytotoxicity in HEK-293T cells.
Tested subset of 14 flavored e-liquids and found they were more cytotoxic
in A549 cells compared with HEK-293T and HASMC cells; relative
toxicities of e-liquids the same across cells.
Direct exposure of aerosolized flavored e-liquids to cells:
Banana Pudding, Bavarian Cream Donut, Black Coffee, Candy Cane,
Cherry Kola, Chocolate Banana, Chocolate Covered Raisins, Cinnamon
Roll, Death Flirt, Hot Cinnamon Candies, Pillow Fight, Root Beer, and
Strawberry cytotoxic to HEK-293T cells.
Black Coffee, Blueberry Lemonade, Bubbly Berry, Chocolate Banana,
Chocolate Covered Raisins, Hot Cinnamon Candies, and Raspberry
cytotoxic to HAM cells.
Banana Nut Bread Smoothie, Candy Corn, Chocolate Banana, and Vanilla
Bean cytotoxic to HBE cells.
Vanillin and ethyl vanillin in flavored e-liquids had lower LC
50
values.
Vanillin and cinnamaldehyde concentrations in flavored e-liquids positively correlated
with cytotoxicity.
Vanillin major driver of cytotoxicity.
ALI
Song et al.
(2018)
HBE
Submerged
HMEEC Respiratory
Skin
Human – bronchial
epithelial
Human – middle ear
epithelial
Evaluated cytotoxicity of 73 nicotine-free flavored e-liquids on middle ear epithelial
cells.
Tobacco, Coffee, Mango, and Chocolate-Menthol flavored e-liquids were cytotoxic;
the IC
50
value for Chocolate-Menthol flavor was significantly lower compared with
the other flavored e-liquids.
For flavor category, IC
50
of menthol-flavored e-liquids significantly lower than
Tobacco, Coffee, Fruit, and “Other” flavored e-liquids.
Zhao et al.
(2018)
Cell-free N/A Respiratory N/A
Evaluated 2 flavored e-liquids.
Aerosolized Fruity flavored e-liquid generated 3x more total ROS and H
2
O
2
than
aerosolized Tobacco flavor (Trolox method).
Berkelhamer et
al. (2019)
Submerged
Isolated
tissue
PASMC
Pulmonary
arteries
Bronchial rings
Cardiovascular
Cardiovascular
Respiratory
Ovine – pulmonary
artery smooth muscle
Ovine – neonatal and
adult pulmonary
arteries Ovine –
neonatal and adult
Evaluated Menthol, Strawberry, Tobacco, and Vanilla flavored e-liquids.
Menthol and Strawberry flavored e-liquids induced cytotoxicity in fetal, neonatal, and
adult PASMC (LDH assay).
Neonatal cells most sensitive to Menthol flavoring.
Pharmacol Ther
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Study
Type
a
Cells System
Modeled
Source
Summary
b
intrapulmonary
bronchial rings
Only Menthol flavored e-liquid induced relaxation of adult but not neonatal
pulmonary arteries.
Menthol, Strawberry, Tobacco, and Vanilla flavored e-liquids induced bronchodilation
of neonatal bronchial rings.
Only Menthol flavored e-liquid induced airway relaxation in adult bronchial rings.
Bishop et al.
(2019)
ALI
MucilAir
Respiratory Human – 3D airway
epithelial
Undiluted aerosolized flavored e-liquid that contained cinnamaldehyde was cytotoxic
(MTT assay) to 3D reconstituted human airway tissue.
Clapp et al.
(2019)
Submerged HBE
Beas-2B
Respiratory
Respiratory
Human – bronchial
epithelial
Human – lung
bronchus
Evaluated 3 flavored e-liquids that contained cinnamaldehyde (Kola, Hot Cinnamon
Candies, Sini-cide).
All flavored e-liquids and aerosolized flavored e-liquids transiently suppressed cilia
beat frequency in HBE cells relative to controls; only Sini-cide reduced levels
compared with PG/VG vehicle.
Cinnamaldehyde flavoring impaired mitochondrial respiration in HBE cells (JC-1 dye
assay).
Cinnamaldehyde flavoring impaired mitochondrial respiration (JC-1 dye assay) and
glycolysis and intracellular ATP levels were transiently reduced in Beas-2B cells.
Czekala et al.
(2019)
ALI
EpiAirway
Respiratory Human – 3D
respiratory model
Exposure to aerosolized Blueberry flavored e-liquid did not alter tissue viability,
barrier function, secretion of pro-inflammatory cytokines, cilia morphology, or induce
DNA damage compared with non-blueberry e-liquid.
Erythropel et al.
(2019)
Submerged
HEK-293T
**
Respiratory Human – embryonic
kidney
Laboratory prepared mixtures of aldehyde flavoring chemicals (benzaldehyde,
cinnamaldehyde, citral, ethylvanillin, and vanillin) and propylene glycol (humectant)
formed stable acetals.
Aerosolized vanillin, ethylvanillin, and benzaldehyde acetal e-liquids stable in gas
phase.
All flavorings and their acetals activated aldehyde-sensitive TRPA1 irritant receptors
and aldehyde-insensitive TRPV1 irritant receptors.
Hickman et al.
(2019)
Submerged Neutrophil Respiratory Human – primary
lung
Evaluated effects of flavoring chemicals on respiratory cells:
Cinnamaldehyde and ethyl vanillin flavorings most attenuated oxidative
burst (O
2
consumption).
Ethyl vanillin, benzaldehyde, and benzaldehyde propylene glycol acetyl
decreased phagocytosis.
Isoamyl acetate did not affect oxidative burst or phagocytosis.
Iskandar,
Zanetti,
Kondylis, et al.
(2019)
ALI
SmallAir
EpiOral
Respiratory
Respiratory
Human – small
airway model
Human – oral
mucosal model
Aerosolized flavored (unspecified) e-liquid and unflavored e-liquid did not alter tissue
histology or impact cilia beating frequency.
Pharmacol Ther
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Stefaniak et al. Page 88
Study
Type
a
Cells System
Modeled
Source
Summary
b
Iskandar,
Zanetti,
Marescotti, et al.
(2019)
ALI
Submerged
SmallAir
EpiOral
HBE
Respiratory
Respiratory
Respiratory
Human – small
airway model
Human – oral
mucosal model
Human – bronchial
epithelial
No difference in cytotoxicity of flavored (unspecified) e-liquid compared with
unflavored e-liquid in HBE cells (RTCA method).
No difference in cell membrane permeability, Cytochrome C release, DNA damage,
glutathione content, oxidative stress, or stress kinase (c-Jun) of flavored (unspecified)
e-liquid compared with unflavored e-liquid in HBE cells.
No difference in cytotoxicity (adenylate kinase), changes in miRNA, or protein
markers of oxidative stress or autophagy for aerosolized flavored (unspecified) e-
liquid compared with aerosolized unflavored e-liquid in SmallAir
and EpiOral
tissues.
Lee et al. (2019) Submerged iPSC-EC Cardiovascular Human – induced
pluripotent stem-cell
derived endothelial
Evaluated 6 flavored e-liquids.
Menthol and Cinnamon flavored e-liquids significantly decreased cell viability via
caspase 3 and 7 activity.
Butterscotch, Menthol, and Cinnamon flavored e-liquids increased intracellular ROS
levels.
Cinnamon and Menthol flavored e-liquids impaired total tube length increased low-
density lipoprotein and free fatty acid uptake.
Culture media from iPSC-EC cells exposed to Cinnamon flavored e-liquid induced
polarization of macrophages, and increased levels of pro-inflammatory cytokines and
intracellular ROS; Caramel/Vanilla flavored e-liquid only induced macrophage
polarization.
Nystoriak et al.
(2019)
Submerged hiPSC-CM Cardiovascular Human – induced
pluripotent stem-cell
Evaluated cinnamaldehyde flavoring in liquid form and heated at temperatures that
mimic e-cigs.
Liquid cinnamaldehyde altered contraction-dependent signal amplitude, significantly
reduced beating rate, and abolished spontaneous beating activity before the onset of
cell death.
After prolonged exposure, liquid cinnamaldehyde caused time-dependent
dysregulation of cell membrane potential.
Heated cinnamaldehyde attenuated effects observed for liquid form.
Omaiye et al.
(2019)
Submerged Beas-2B Respiratory Human – lung
bronchus
Evaluated 8 JUUL® brand flavored e-liquids.
All flavored e-liquids were cytotoxic (MTT or neutral red uptake assays).
Most aerosolized e-liquids cytotoxic.
Cytotoxicity of aerosolized JUUL® e-liquids was highly correlated with ethyl maltol
flavoring concentration and weakly correlated with menthol and vanillin
concentrations.
Otero et al.
(2019)
Submerged MG-63
Saos-2
Skeletal
Skeletal
Human – bone
fibroblast
Human –
osteosarcoma
Evaluated 23 commercial flavored e-liquids (Watermelon, Mango, Mixed Fruits,
Coffee, Apple Pie, Menthol & Watermelon, Menthol, Hot Cinnamon, Menthol &
Cinnamon).
Pharmacol Ther
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Study
Type
a
Cells System
Modeled
Source
Summary
b
All flavored e-liquids caused dose-dependent decrease in cell viability in both cell
lines; cytotoxicity was most pronounced in cinnamon-flavored e-liquids (Fireball,
Napalm).
Mango Blast, Irish Latte, and Sweet Melon flavored e-liquids altered mRNA
expression of key osteoblast gene Col1a1 in MG-63 cells.
Mango Blast flavored e-liquid increased collagen type I protein expression in MG-63
cells.
Park et al.
(2019)
ALI HBE Respiratory Human – bronchial
epithelial
Used transcriptomic approach to evaluate toxicity of diacetyl and 2,3-pentanedione
flavorings.
Diacetyl and 2,3-pentanedione altered 163 and 568 expressed genes, respectively.
142 perturbed genes related to cytoskeletal and cilia processes were common to both
flavorings.
Expression of multiple genes involved in cilia biogenesis was significantly
downregulated and the number of ciliated cells was decreased by these flavorings.
Stevenson et al.
(2019)
Submerged SenzaCell Immune Human – myeloid
leukemia-derived cell
line
Applied experimental Genomic Allergen Rapid Detection (GARD) assay to predict
and compare respiratory and skin sensitization potential of Blu Cherry flavored e-
liquid and an unspecified flavored e-liquid compared with unflavored laboratory
prepared e-liquids.
Flavored e-liquids more cytotoxic compared with unflavored e-liquids.
None of the flavored e-liquids were classified as respiratory sensitizers.
Both flavored e-liquids classified as weak skin sensitizers under European
Classification, Labelling and Packaging (CLP) Regulation.
Ween et al.
(2020)
Submerged
THP-1
*
HBE
Respiratory
Respiratory
Human – monocyte
peripheral blood
Human – bronchial
epithelial
Two of three aerosolized Apple flavored e-liquids cytotoxic to HBE cells independent
of nicotine content (LDH assay).
All aerosolized Apple flavored e-liquids cytotoxic to HBE cells.
All aerosolized Apple flavored e-liquids increased necrosis and apoptosis in HBE
cells.
All aerosolized Apple flavored e-liquids decreased efferocytosis of apoptotic airway
cells in THP-1 macrophages.
All aerosolized Apple flavored e-liquids reduced expression of CD36, an efferocytic
receptor.
All aerosolized Apple flavored e-liquids reduced secretion of TNF-a, IP-10, and
MIP-1B in HBE cells.
Two of three aerosolized Apple flavored e-liquids reduced IL-6 secretion and caused
DNA release in HBE cells.
Pharmacol Ther
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Study
Type
a
Cells System
Modeled
Source
Summary
b
Al-Saleh et al.
(2020)
Submerged TK6
CHO
Genotoxicity
Genotoxicity
Human – spleen
lymphoblast Hamster
– ovarian
Evaluated 33 brands of flavored e-liquids, nearly all contained menthol.
15 of 33 brands of flavored e-liquids cytotoxic in TK6 cells and 3 of 20 brands
cytotoxic in CHO cells (Trypan blue assay).
Several brands of flavored e-liquids induced DNA damage in TK6 and CHO cells
(comet assay).
Several brands of flavored e-liquids induced chromosome breakage in TK6 cells
(micronucleus assay).
Menthol flavoring concentration in e-liquids positively correlated with DNA damage
measured by tail movement (comet assay) in CHO but not TK6 cells.
Go et al. (2020) Submerged HMEEC Skin Human – middle ear
epithelial
Evaluated the effect of Menthol- and Tobacco flavored e-liquids on middle ear
epithelial cells.
Menthol flavored e-liquids more cytotoxic compared with Tobacco flavored e-liquids
(CCK-8 assay).
Menthol and Tobacco flavored e-liquids increased release of mRNA of COX-2 and
TNF-α and mucin production (by PCR).
Both Menthol and Tobacco flavored e-liquids induced apoptosis and autophagy (flow
cytometry).
Gómez et al.
(2020)
Submerged
THP-1
*
Respiratory Human – monocyte
peripheral blood
Evaluated aerosolized Irish Cream flavored e-liquid on cells:
No observed cytotoxicity (formazan assay),
Impaired phagocytic function for M. tuberculosis, and
Stimulated release of pro-inflammatory cytokine IL-1β.
Kerasioti et al.
(2020)
Submerged EA.hy926 Cardiovascular Human – umbilical/
vascular endothelial
Evaluated seven flavored e-liquids (three tobacco, two apple/mint, and two vanilla)
with varied nicotine levels.
All flavored e-liquids induced significant cytotoxicity.
One Vanilla flavored and one Apple/Mint flavored e-liquid increased GSH levels.
All Tobacco and one Vanilla flavored e-liquid increased ROS production and
thiobarbituric acid reactive substance levels.
Lamb et al.
(2020)
Submerged Beas-2B Respiratory Human – lung
bronchus
Aerosolized JUUL® Menthol or Virginia Tobacco flavored e-liquids.
Aerosolized Menthol flavored e-liquid:
Increased extracellular acidification rate.
Immediately post-final exposure increased non-mitochondrial oxygen
consumption and proton leak; coupling efficiency was significantly
decreased.
Pharmacol Ther
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Study
Type
a
Cells System
Modeled
Source
Summary
b
24-hours post-exposure non-mitochondrial oxygen remained significantly
increased and basal respiration and maximal respiration were decreased.
Aerosolized Virginia Tobacco flavored e-liquid:
At immediate and 24-h post exposure, non-mitochondrial oxygen
consumption increased.
Immediately post-final exposure coupling efficiency was significantly
decreased.
Lucas et al.
(2020)
Submerged HFL-1 Respiratory Human – normal,
fibroblasts
Evaluated an e-liquid that contained tobacco, coconut, vanilla, and cookie flavorings.
Exposure to the e-liquid:
induced cytotoxicity,
increased secretion of IL-8,
increased SA-β-gal activity, and
prevented TGF-β1 induced myofibroblast differentiation.
Marescotti et al.
(2020)
Submerged HBE Respiratory Human – bronchial
epithelial
Evaluated 28 flavoring chemicals alone or in mixtures using laboratory prepared e-
liquids.
Individually, 2-acetylthiazole, allyl hexanoate,
α
-pinene, citronellol, guaiacol,
linalool, methyl anthranilate, 3-methyl-2,4-nonanedione, 3-(methylthio)
propionaldehyde, and phenethyl alcohol e-liquids exhibited increased cytotoxicity;
citronellol and
α
-pinene most cytotoxic.
Cytotoxicity of mixtures differed from individual substances; citronellol was main
driver of toxicity and other flavorings contributed to synergistic effects.
Citronellol and
α
-pinene e-liquids triggered signs of apoptosis (e.g., activated caspase
3/7) and induced oxidative stress (e.g., increased ROS); linalool induced apoptotic
signals but not oxidative stress.
Noël et al.
(2020)
Submerged HUVEC/Tert2 Cardiovascular Human – umbilical/
vascular endothelial
Identified ingredients in 34 flavored concentrates and 21 flavored e-liquids; tested
cytotoxicity of subset.
Cinnamaldehyde, cinnamaldehyde PG acetal, vanillin, limonene, eugenol, estragole,
and anethole flavorings were cytotoxic; cinnamaldehyde most potent.
Cinnamaldehyde flavoring nearly completely suppressed metabolic activity.
One flavored e-liquid that contained anethole and anisaldehyde nearly completely
suppressed cellular metabolic activity.
Pearce et al.
(2020)
Submerged HBE Respiratory Human – bronchial
epithelial
Evaluated aerosolized JUUL® Fruit Medley e-liquid and aerosolized nicotine-
containing e-liquids from first generation e-cigarettes.
All aerosolized e-liquids induced significant generation of ROS; levels lowest for Fruit
Medley.
Pharmacol Ther
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Study
Type
a
Cells System
Modeled
Source
Summary
b
At highest exposure, all aerosolized e-liquids induced oxidative stress.
Aerosolized Fruit Medley e-liquid reduced cellular metabolic activity in dose-
dependent manner.
All aerosolized e-liquids elicited single stranded DNA breaks; levels higher
forJUUL® Fruit Medley e-liquid and Logic Power nicotine e-liquid.
Rowell et al.
(2020)
Submerged HBE
CALU3
HEK-293T
Respiratory
Respiratory
Respiratory
Human – bronchial
epithelial
Human – lung
epithelial
Human – kidney
Screened 100 flavored e-liquids for impact on cellular Ca
+2
homeostasis.
42 or 100 flavored e-liquids elicited cellular Ca
+2
response in CALU3 cells
Modeling indicated response associated with the number of flavoring in e-
liquids; ethyl maltol, ethyl vanillin, and vanillin contributors to responses.
In all cell types, Banana Pudding flavored e-liquid:
Increased cytosolic Ca
+2
,
Induced endoplasmic reticulum Ca
+2
release, and
Increased total inositol phosphate production.
Tsai et al. (2020) Submerged Ca9-22
CAL-27
Respiratory
Respiratory
Human – gingival
epithelial
Human – tongue
epithelial
Exposed cells to Cinnamon Red Hots and Apple Juice flavored e-liquids with and
without nicotine.
Ca9-22 cells exposed to Cinnamon Red Hots e-liquid increased invasiveness but
Apple Juice e-liquid decreased cell invasion.
CAL-27 cells exposed to Cinnamon Red Hots e-liquid decreased cell invasion with or
without nicotine; no effect for Apple Juice e-liquid.
RAGE cell-surface expression increased in Ca9-22 and CAL-27 cells; levels enhanced
by nicotine.
Levels of IL-1α significantly increased for Ca9-22 cells exposed to both flavored e-
liquids but responses attenuated by nicotine.
IL-8 secretion from Ca9-22 cells increased following exposure to Apple Juice but not
Cinnamon Red Hots flavored e-liquids.
For CAL-27 cells, both flavored e-liquids increased secretion of IL-1α, but IL-8 levels
were only increased by Apple Juice e-liquid.
Wavreil and
Heggland (2020)
Submerged MG-63 Skeletal Human–bone
fibroblasts
Evaluated the impact of two nicotine-free, cinnamon-flavored e-liquids (Cinn Candy,
Napalm) and nicotine-free unflavored e-liquid.
Napalm and Cinn Candy flavored e-liquids and their aerosolized forms increased ROS
production.
Cell viability decreased in a dose-dependent manner; rank order from most to least
cytotoxic was aerosolized Napalm > aerosolized Cinn Candy > aerosolized unflavored
e-liquid (MTT assay).
Pharmacol Ther
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Study
Type
a
Cells System
Modeled
Source
Summary
b
No changes in collagen type I protein after exposure to aerosolized flavored or
unflavored e-liquids.
Zahedi et al.
(2019)
Submerged C17.2 Developmental Mouse – embryonic
stem cell
Evaluated Tobacco and Menthol flavored e-liquids from first generation e-cigarettes.
Cells treated with bulk and aerosolized flavored e-liquids:
had enlarged autophagosomes with loss of acidity,
had dose-dependent decrease in number of mitochondria,
underwent hyperfusion attributed to nicotine,
had increased mitochondrial superoxide levels,
had increased mitochondrial protein oxidation attributed to nicotine, and
has an increased average mtDNA nucleoid area/cell and nucleoid intensity.
a
ALI = air-liquid interface
b
AO = acridine orange; AxV = annexin V; CCK = cell counting assay; DCFH-DA = 2’−7’-dichlorodihydrofluorescein diacetate; DHE = dihydroethidium; ESR = electron spin resonance; IC
50
= half
maximal inhibitory concentration; LC
50
= lethal concentration, 50%; MTS = 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium; MTT = 3-[4,5-dimethylthiazol-2-
yl]-2,5-diphenyltetrazolium bromide; NRU = Neutral Red Uptake; PCR = polymerase chain reaction; PI = propidium iodide; PG = propylene glycol; ROS = reactive oxygen species; RTCA = real-time cell
analysis; TEER = transepithelial electrical resistance; TUNEL = (terminal deoxynucleotidyl transferase dUTP nick-end labeling; VG = vegetable glycerin; WST-1 = 4-[3-(4-iodophenyl)-2-(4-
nitrophenyl)-2H-5-tetrazolio]-1,3-benzene disulfonate; WST-8 = water-soluble tetrazolium-8 dye
*
THP-1 = blood circulatory cells used as a model for the respiratory system
**
HEK-293T = renal cells used as a model for the respiratory system
Pharmacol Ther
. Author manuscript; available in PMC 2022 August 01.
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Stefaniak et al. Page 94
Table 3
Summary of flavoring-induced
in vivo
toxicity literature. Unless otherwise noted, all flavored e-liquids are commercial products.
Study
Species
a
Route Organ system
Summary
b
Walele et al.
(2016)
Humans (M) Inhalation Circulatory
24 males aerosolized a Menthol flavored e-liquid and an unflavored e-liquid with the same humectant and
nicotine concentrations under controlled conditions.
Aerosolized unflavored e-liquid maximum plasma nicotine concentration and nicotine uptake (AUC
021 hr
)
were higher compared with aerosolized Menthol flavored e-liquid.
Werley et al.
(2016)
Crl:CD(SD) rats
(F)
Nose-only
inhalation
Circulatory
Respiratory
Rats exposed to aerosolized e-liquid with flavoring compared with aerosolized e-liquid without flavoring
exhibited:
No difference in plasma nicotine and cotinine levels.
Lower mean BALF total protein, ALP and LDH levels compared with control vehicle-only (at
highest dose only).
St Helen et al.
(2017)
Humans (M/F) Inhalation Circulatory
11 males and 3 females aerosolized Strawberry, Tobacco, and their usual flavored e-liquids.
For a defined puff regimen, aerosolized Strawberry flavored e-liquid yielded significantly higher nicotine intake
(AUC
0180
) and increased heart rate compared with aerosolized Tobacco flavored e-liquid.
During
ad libitum
use, aerosolized Strawberry flavored e-liquid yielded significantly higher plasma nicotine
concentration up to 45 minutes after starting puffing and higher nicotine intake (AUC
090 min
) compared with
aerosolized Tobacco flavored e-liquid.
Conklin et al.
(2018)
C57BL6/J mice
(M)
Whole body
inhalation
Circulatory
Evaluated 7 flavored e-liquids (Classic Tobacco, Magnificent Menthol, Vivid Vanilla, Cherry Crush, Menthol,
Mocha Café, Southern Ice).
Aerosolized Magnificent Menthol flavored e-liquid increased levels of urinary 3-HPMA (acrolein metabolite)
compared with aerosolized Classic Tobacco flavored e-liquid.
The decay of urinary 3-HPMA from peak was similar for aerosolized Magnificent Menthol flavored
e-liquid and regular tobacco cigarette smoke.
Aerosolized Menthol flavored e-liquid increased total urinary nicotine excretion compared with aerosolized
Classic Tobacco flavored e-liquid.
Chapman et al.
(2019)
Balb/c mice
(M/F)
Whole body
inhalation
Respiratory
Evaluated features of allergic airway diseases by exposing house dust mite sensitized mice to four different
flavors of aerosolized e-liquids:
Cinnacide reduced airway inflammation (BALF cell analysis) but increased peripheral airway
hyperresponsiveness (methacholine challenge).
Black Licorice induced a non-significant trend of increasing airway inflammation.
Kola and Banana Pudding did not induce airway inflammation.
Banana Pudding e-liquid increased soluble lung collagen indicative of airway remodeling.
Pharmacol Ther
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Stefaniak et al. Page 95
Study
Species
a
Route Organ system
Summary
b
Rao et al.
(2020)
Sprague-Dawley
rats (M/F)
Nose-only
inhalation
Cardiovascular
Evaluated JUUL® brand Virginia Tobacco flavored e-liquid.
Aerosolized Virginia Tobacco flavored e-liquid by a JUUL® device and aerosolized unflavored e-liquid by a
tank-style device significantly impaired endothelial function; no difference between aerosolized e-liquids or
with a tobacco cigarette.
Animals exposed to aerosolized Virginia Tobacco e-liquid had higher serum nicotine and cotinine levels
compared with unflavored e-liquid and a combustible cigarette.
Szostak et al.
(2020)
ApoE
−/−
mice (F)
Whole body
inhalation
Cardiovascular
Mice were directly exposed to aerosolized laboratory-prepared (guaiacol and other unspecified) flavored e-
liquid and aerosolized non-flavoring e-liquid constituents.
Neither aerosolized flavored e-liquid or its aerosolized non-flavoring constituents accelerated atherosclerotic
plaque formation.
Reumann et al.
(2020)
ApoE
−/−
mice (F)
Whole body
inhalation
Skeletal
Six-month exposure to aerosolized flavored (unspecified) e-liquid, unflavored e-liquid, and cigarette smoke
induced microcracks in cortical bone areas.
Szafran et al.
(2020)
C57BL6/J mice
(F)
Whole body
inhalation
Respiratory
Mice exposed to 70%/30% VG/PG or 70%/30% VG/PG with French vanilla flavoring.
Exposures to VG/PG with vanilla increased lung tidal and minute volumes.
Increased counts of dendritic cells, CD4+ T cells, and CD19+ B cells in mice independent of vanilla flavoring.
Increased amounts of 2-arachidonoylglycerol and 12-hydroxyeicosatetraenoic acid in mice independent of
vanilla flavoring.
a
F = female; M = male
b
ALP = alkaline phosphatase; AUC = area under concentration-time curve; BALF = bronchoalveolar lavage fluid; 3-HPMA = 3-hydroxypropyl mercapturic acid; LDH = lactate dehydrogenase
Pharmacol Ther
. Author manuscript; available in PMC 2022 August 01.