Nicotine delivery and relief of craving after consumption of European JUUL e-cigarettes prior and after pod modification.

The emergence of e-cigarettes on the consumer market led to a tremendous rise in e-cigarette consumption among adolescents in the United States. The success of JUUL and other pod systems was linked to its high nicotine delivery capacity. In compliance with the European Tobacco Product directive, liquid nicotine contents in the European JUUL variants are limited to 20 mg/mL or below. A short time after launching the initial version in Europe, JUUL pods have been modified in terms of the wick material used. This modification has been demonstrated previously to lead to an elevated aerosol generation, consequently, to a larger amount of nicotine per puff generated. The present study was designed to assess whether the mentioned differences between the "initial" and "modified" JUUL versions may cause a significant difference during consumption, and how nicotine delivery compares with tobacco cigarettes. In this single-center three-arm study, nicotine pharmacokinetics and influence on urge to smoke/vape were compared for tobacco cigarettes, the "initial" version of the European JUUL, and the "modified" version of the European JUUL. Participants, 15 active smokers and 17 active e-cigarette users, were instructed to consume their study product according to a pre-directed puffing protocol. Venous blood was sampled for nicotine analysis to cover the acute phase and the first 30 min after starting. Nicotine delivery and the reduction of urge to smoke/vape upon usage of both European JUUL variants were lower in comparison to tobacco cigarettes. This suggests a lower addictive potential. Modification of the pod design did not result in significant differences at the first ten puffs, as confirmed by a vaping machine experiment. Apparently, the limitations by the initially used wick material only come into effect after longer usage time.

Electronic and Tobacco Cigarettes Alter Polyunsaturated Fatty Acids and Oxidative Biomarkers.

[Figure: see text].

Elevated Cellular Oxidative Stress in Circulating Immune Cells in Otherwise Healthy Young People Who Use Electronic Cigarettes in a Cross-Sectional Single-Center Study: Implications for Future Cardiovascular Risk.

Background Tobacco cigarettes (TCs) increase oxidative stress and inflammation, both instigators of atherosclerotic cardiac disease. It is unknown if electronic cigarettes (ECs) also increase immune cell oxidative stress. We hypothesized an ordered, "dose-response" relationship, with tobacco-product type as "dose" (lowest in nonsmokers, intermediate in EC vapers, and highest in TC smokers), and the "response" being cellular oxidative stress (COS) in immune cell subtypes, in otherwise, healthy young people. Methods and Results Using flow cytometry and fluorescent probes, COS was determined in immune cell subtypes in 33 otherwise healthy young people: nonsmokers (n=12), EC vapers (n=12), and TC smokers (n=9). Study groups had similar baseline characteristics, including age, sex, race, and education level. A dose-response increase in proinflammatory monocytes and lymphocytes, and their COS content among the 3 study groups was found: lowest in nonsmokers, intermediate in EC vapers, and highest in TC smokers. These findings were most striking in CD14dimCD16+ and CD14++CD16+ proinflammatory monocytes and were reproduced with 2 independent fluorescent probes of COS. Conclusions These findings portend the development of premature cardiovascular disease in otherwise healthy young people who chronically vape ECs. On the other hand, that the COS is lower in EC vapers compared with TC smokers warrants additional investigation to determine if switching to ECs may form part of a harm-reduction strategy. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT03823885.

The JUUL E-Cigarette Elevates the Risk of Thrombosis and Potentiates Platelet Activation.

BACKGROUND: Smoking is the main preventable cause of death in the United States and worldwide and is associated with serious cardiovascular health consequences, including thrombotic diseases. Recently, electronic cigarettes (e-cigarettes) and, in particular JUUL, have attained wide popularity among smokers, nonsmokers, pregnant females, and even the youth, which is alarming. Interestingly, there is/are no information/studies regarding the effect of JUUL on cardiovascular diseases, specifically in the context of modulation of platelet activation. Thus, it is important to discern the cardiovascular disease health risks associated with JUUL. METHODS AND RESULTS: We used a passive e-vape vapor inhalation system where C57BL/6J mice (10-12 weeks old) were exposed to JUUL e-cigarette vape. Menthol flavored JUUL pods containing 5% nicotine by weight were used as the e-liquid. Mice were exposed to a total of 70 puffs daily for 2 weeks; 3-second puff duration, and 25-second puff interval. The effects of JUUL relative to clean air were analyzed, on mouse platelet function in vitro (eg, aggregation) and in vivo (eg, FeCl3-induced carotid artery injury thrombosis model). Our results indicate that short-term exposure to JUUL e-cigarette causes hyperactivation of platelets and shortens the thrombus occlusion as well as hemostasis/bleeding times, relative to clean air (medians of 14 vs. 200 seconds, P < .01 and 35 vs. 295 seconds, P < .001, respectively). CONCLUSION: Our findings document-for the first time-that short-term exposure to the JUUL e-cigarette increases the risk of thrombotic events, in part by modulating platelet function, such as aggregation and secretion, in mice.

Profiling the Acute Effects of Modified Risk Products: Evidence from the SUR-VAPES (Sapienza University of Rome-Vascular Assessment of Proatherosclerotic Effects of Smoking) Cluster Study.

PURPOSE OF REVIEW: Modified risk products (MRP) are promoted as a safer alternative to traditional combustion cigarettes (TCC) in chronic smokers. Evidence for their lower hazardous profile is building, despite several controversies. Yet, it is unclear whether individual responses to MRP differ among consumers. We hypothesized that different clusters of subjects exist in terms of acute effects of MRP. RECENT FINDINGS: Pooling data from a total of 60 individuals, cluster analysis identified at least three clusters (labelled 1 to 3) of subjects with different electronic vaping cigarettes (EVC) effects and at least two clusters (labelled 4 to 5) of subjects with different heat-not-burn cigarettes (HNBC) effects. Specifically, oxidative stress, platelet aggregation, and endothelial dysfunction after EVC were significantly different cluster-wise (all p < 0.05), and oxidative stress and platelet aggregation after HNBC were significantly different (all p < 0.05). In particular, subjects belonging to Cluster 1 appeared to have less detrimental responses to EVC usage than subjects in Cluster 2 and 3, as shown by non-significant changes in flow-mediated dilation (FMD) and less marked increase in Nox2-derived peptide (NOX). Conversely, those assigned to Cluster 3 had the worst reaction in terms of changes in FMD, NOX, and P-selectin. Furthermore, individuals belonging to Cluster 4 responded unfavorably to both HNBC and EVC, whereas those in Cluster 5 interestingly showed less adverse results after using HNBC than EVC. Results for main analyses were consistent employing different clusters, tests, and bootstrap. Individual responses to MRP differ and smokers aiming at using EVC or HNBC as a risk reduction strategy should consider trying different MRP aiming at finding the one which is less detrimental, with subjects resembling those in Cluster 1 preferably using EVC and those resembling Cluster 5 preferably using HNBC.

PBPK modeling characterization of potential acute impairment effects from inhalation of ethanol during e-cigarette use.

Objective: Ethanol is used as a solvent for flavoring chemicals in some electronic cigarette (e-cigarette) liquids (e-liquids). However, there are limited data available regarding the effects of inhalation of ethanol on blood alcohol concentration (BAC) during e-cigarette use. In this study, a modified physiologically based pharmacokinetic (PBPK) model for inhalation of ethanol was used to estimate the BAC time-profile of e-cigarette users who puffed an e-liquid containing 23.5% ethanol. Materials and Methods: A modified PBPK model for inhalation of ethanol was developed. Use characteristics were estimated based on first-generation and second-generation e-cigarette topography parameters. Three representative use-case puffing profiles were modeled: a user that took many, short puffs; a typical user with intermediate puff counts and puff durations; and a user that took fewer, long puffs. Results and Discussion: The estimated peak BACs for these three user profiles were 0.22, 0.22, and 0.30 mg/L for first-generation devices, respectively, and 0.85, 0.58, and 0.34 mg/L for second-generation devices, respectively. Additionally, peak BACs for individual first-generation users with directly measured puffing parameters were estimated to range from 0.06 to 0.67 mg/L. None of the scenarios modeled predicted a peak BAC result that approached toxicological or regulatory thresholds that would be associated with physiological impairment (roughly 0.01% or 100 mg/L). Conclusions: The approach used in this study, combining a validated PBPK model for a toxicant with peer-reviewed topographical parameters, can serve as a screening-level exposure assessment useful for evaluation of the safety of e-liquid formulations. Abbreviations: BAC: blood alcohol concentration; e-cigarette: electronic cigarette; e-liquid: e-cigarette liquid or propylene glycol and/or vegetable glycerin-based liquid; HS-GC-FID: headspace gas chromatography with flame-ionization detection; HS-GC-MS: headspace gas chromatography-mass spectrometry; PBPK: physiologically based pharmacokinetic; Cair: puff concentration expressed as ppm; Cair,mass: ethanol air concentration expressed on a mass basis; Cv: ethanol concentration in the venous blood; ρ: density; EC: ethanol concentration in the liquid; PLC: liquid consumption per puff; PAV: air volume of the puff; Cair,mass: puff concentration expressed as ppm; MW: molecular weight; P: pressure; T: temperature; PK: pharmacokinetic.

Association Between Electronic Cigarette Use and Levels of High-Sensitivity C-Reactive Protein and Uric Acid.

The present study investigated whether electronic cigarette use, which is becoming increasingly common, was related to systemic inflammation that may lead to cardiovascular disease, similar to conventional cigarette smoking. The study included 1208 men (19-65 years old) who participated in the 7th Korean National Health and Nutrition Examination Survey (2016). The participants were categorized as electronic cigarette users, conventional cigarette users, and nonsmokers. Serum high-sensitivity C-reactive protein was used as an inflammatory index, and uric acid level was used as a metabolic indicator. After adjusting for confounding factors, electronic cigarette use was significantly associated with elevated serum high-sensitivity C-reactive protein levels (ß = 1.326, P = .002), uric acid levels (ß = 0.400, P = .042), and hyperuricemia (uric acid level of >7 mg/mL; odds ratio = 2.67, 95% confidence interval = 1.27-5.58). These findings suggest that electronic cigarette use may be associated with systemic inflammation markers, similar to conventional cigarette use.

Nicotine delivery and users' reactions to Juul compared with cigarettes and other e-cigarette products.

AIMS: To assess the pharmacokinetic (PK) profile of, and users' reactions to, Juul (59 mg nicotine/ml) as an indication of its therapeutic and dependence potential. DESIGN: Cross-over, within-subjects study in which participants attended after overnight abstinence on separate sessions and smoked a cigarette or used Juul or eight other types of e-cigarettes (EC) ad libitum for 5 minutes. The Juul product used was the version available in the United States that has more nicotine in the e-liquid than the one available in the European Union. SETTING: Laboratory setting in the United Kingdom. PARTICIPANTS: Twenty dual users (smokers who also vape) provided data on Juul and cigarettes, with eight also providing data on other EC products. MEASUREMENTS: At each session, number of puffs taken was counted during the 5-minute product use period and blood samples were taken at baseline and at 2, 4, 6, 8, 10 and 30 minutes after starting smoking/vaping and analysed for nicotine. Participants also monitored their urges to smoke and rated the products on a range of characteristics. FINDINGS: Juul's PK profile was close to the PK profile of cigarettes [maximum concentration (Cmax ) = 20.4 versus 19.2 ng/ml; time to maximum concentration (Tmax ) = 4 versus 6 minutes; area under the curve (AUC): 307.9 versus 312.6, respectively]. Compared with other EC products, Juul had shorter Tmax [4 minutes, (IQR = 2.5-4.0) versus 6.3 minutes, (IQR = 4.7 - 8.1), P = 0.012] and higher Cmax (28.9 (SD = 15.6) versus 10.6 (SD = 5.5), P = 0.013) despite a lower number of puffs (12.5 (SD = 4.2) versus 17.0 (SD = 4.2), P = 0.084). Compared with other e-cigarette products, it also provided faster reduction of urges to smoke and obtained more favourable subjective ratings. CONCLUSION: Juul's PK profile and user ratings suggest that it could be more effective than other EC products in helping smokers to quit smoking, but it may also have a higher potential to generate regular use in non-smokers.

Twenty-four-hour subjective and pharmacological effects of ad-libitum electronic and combustible cigarette use among dual users.

BACKGROUND AND AIMS: Relative pharmacological effects of e-cigarettes and cigarettes during 24 hours of ad-libitum use have not been described. In this study, 24-hour blood plasma nicotine concentrations and 48-hour subjective effects with use of cigarettes and e-cigarettes were measured among dual users. DESIGN: Two-arm within-subject cross-over design with preferred e-cigarette or cigarette ad-libitum use over 48 hours. SETTING: Hospital research ward in San Francisco, California, USA. PARTICIPANTS: Thirty-six healthy dual users of e-cigarettes and cigarettes (n = 8, 25% females). MEASUREMENTS: Twenty-four-hour blood plasma nicotine and cotinine concentrations and 48-hour self-reported nicotine withdrawal symptoms and rewarding effects. FINDINGS: Analyses used analysis of variance (ANOVA)-based mixed models with order of product (e-cigarette or cigarette) and product type (combustible cigarette or type of e-cigarette) as fixed effects, and subject as a repeated effect. During a 24-hour period, e-cigarettes produced lower nicotine exposure than cigarettes for the majority of users, although 25% received more nicotine from e-cigarettes, which was predicted by more frequent e-cigarette use or greater dependence. Compared to cigarette smoking, nicotine exposure for variable-power tank users was similar, while cig-a-like (t(30)  = 2.71, P = 0.011, d = 0.745) and fixed-power tank users (t(30)  = 3.37, P = 0.002, d = 0.993) were exposed to less nicotine. Cigarettes were rated higher than e-cigarettes on some desirable subjective effects (e.g. psychological reward, t(322)  = 7.24 P < 0.001, d = 0.432), but withdrawal symptom reduction was comparable. No differences were found between e-cigarette types, but Bayes factors indicate that these measures were insensitive. CONCLUSIONS: During a 24-hour period in a hospital setting in the United States, nicotine exposure for dual users of e-cigarettes and cigarettes was similar when using cigarettes or variable-power tank devices only but was lower for those using cig-a-like or fixed-power devices only. Despite lower nicotine levels, all types of e-cigarette were effective in preventing withdrawal symptoms. E-cigarettes were rated less rewarding than cigarettes.

Short halt in vaping modifies cardiorespiratory parameters and urine metabolome: a randomized trial.

Propylene glycol and glycerol are e-cigarette constituents that facilitate liquid vaporization and nicotine transport. As these small hydrophilic molecules quickly cross the lung epithelium, we hypothesized that short-term cessation of vaping in regular users would completely clear aerosol deposit from the lungs and reverse vaping-induced cardiorespiratory toxicity. We aimed to assess the acute effects of vaping and their reversibility on biological/clinical cardiorespiratory parameters [serum/urine pneumoproteins, hemodynamic parameters, lung-function test and diffusing capacities, transcutaneous gas tensions (primary outcome), and skin microcirculatory blood flow]. Regular e-cigarette users were enrolled in this randomized, investigator-blinded, three-period crossover study. The periods consisted of nicotine-vaping (nicotine-session), nicotine-free vaping (nicotine-free-session), and complete cessation of vaping (stop-session), all maintained for 5 days before the session began. Multiparametric metabolomic analyses were used to verify subjects' protocol compliance. Biological/clinical cardiorespiratory parameters were assessed at the beginning of each session (baseline) and after acute vaping exposure. Compared with the nicotine- and nicotine-free-sessions, a specific metabolomic signature characterized the stop-session. Baseline serum club cell protein-16 was higher during the stop-session than the other sessions (P < 0.01), and heart rate was higher in the nicotine-session (P < 0.001). Compared with acute sham-vaping in the stop-session, acute nicotine-vaping (nicotine-session) and acute nicotine-free vaping (nicotine-free-session) slightly decreased skin oxygen tension (P < 0.05). In regular e-cigarette-users, short-term vaping cessation seemed to shift baseline urine metabolome and increased serum club cell protein-16 concentration, suggesting a decrease in lung inflammation. Additionally, acute vaping with and without nicotine decreased slightly transcutaneous oxygen tension, likely as a result of lung gas exchanges disturbances.

Effect of e-cigarette flavors on nicotine delivery and puffing topography: results from a randomized clinical trial of daily smokers.

RATIONALE: There is limited understanding regarding how various e-cigarette flavorings may influence the behavior of non-regular e-cigarette users who are regular cigarette smokers. OBJECTIVES: To assess differences in nicotine delivery, puffing topography, subjective effects, and user satisfaction from different flavored e-liquids. METHODS: Eighteen daily smokers (average age, 44.1 ± 7.0; 9 males; average CPD, 13.0 ± 5.8) smoked their tobacco cigarettes during an initial visit and returned five times to try an e-cigarette (eGo type) refilled with a nicotine solution (24 mg/ml) of five different flavors: cherry, tobacco, espresso, menthol, and vanilla (randomized order). Assessments at each visit included puffing topography, blood samples for nicotine analysis, and subjective reports of nicotine effects and flavor satisfaction. RESULTS: Vaping different flavors resulted in different levels of plasma nicotine. The flavor producing the highest plasma nicotine concentration (Cmax) was cherry (median 21.2 ng/ml), which was not significantly different than nicotine delivery from a combustible cigarette (29.2 ng/ml, p > .05). Vanilla e-liquid produced the lowest Cmax (9.7 ng/ml), and participants tended to puff less frequently on vanilla compared to tobacco flavor (p = .013). Flavors did not differ significantly in the speed of nicotine delivery (Tmax). During controlled use, puff duration for all flavors was significantly longer than a combustible cigarette (p < 0.05). After controlling for nicotine delivery, significant differences in flavor enjoyment were detected. Menthol flavored e-liquid was rated as more enjoyable than vanilla and tobacco flavored e-liquids (p < 0.05). CONCLUSIONS: Flavors tested in this study yielded different patterns of nicotine delivery and led to differences in reduction in smoking urges. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: #NCT02575885.

Nicotine e-cigarette vapor inhalation effects on nicotine & cotinine plasma levels and somatic withdrawal signs in adult male Wistar rats.

RATIONALE: Non-contingent chronic nicotine exposure procedures have evolved rapidly in recent years, culminating in electronic nicotine delivery systems (ENDS or e-cigarettes) to deliver vaporized drugs to rodents in standard housing chambers. OBJECTIVES: The aim of the current work was to use ENDS to test concentration-dependent effects of nicotine e-cigarette vapor inhalation on blood-nicotine concentrations, blood-cotinine concentrations, and somatic withdrawal signs over time in rats. METHODS: Male Wistar rats were exposed to vapor containing various concentrations of nicotine (20, 40, 80 mg/mL) for 11 days through ENDS, and blood concentrations of nicotine and cotinine, the major proximate metabolite of nicotine, as well as spontaneous and precipitated somatic withdrawal signs, were measured over time (across days of exposure and over hours after termination of vapor exposure). RESULTS: Exposing male Wistar rats to non-contingent nicotine vapor inhalation through ENDS produces somatic withdrawal symptoms and measurable blood-nicotine and blood-cotinine levels that change according to (1) concentration of nicotine in vape solution, (2) number of days of nicotine vapor exposure, (3) time since termination of nicotine vapor exposure, and (4) relative to the withdrawal signs, whether withdrawal was spontaneous or precipitated (by mecamylamine). CONCLUSIONS: The data presented here provide parameters that can be used as a reasonable starting point for future work that employs ENDS to deliver non-contingent nicotine vapor in rats, although many parameters can and should be altered to match the specific goals of future work.

Modeling Cardiovascular Risks of E-Cigarettes With Human-Induced Pluripotent Stem Cell-Derived Endothelial Cells.

BACKGROUND: Electronic cigarettes (e-cigarettes) have experienced a tremendous increase in use. Unlike cigarette smoking, the effects of e-cigarettes and their constituents on mediating vascular health remain understudied. However, given their increasing popularity, it is imperative to evaluate the health risks of e-cigarettes, including the effects of their ingredients, especially nicotine and flavorings. OBJECTIVES: The purpose of this study was to investigate the effects of flavored e-cigarette liquids (e-liquids) and serum isolated from e-cigarette users on endothelial health and endothelial cell-dependent macrophage activation. METHODS: Human-induced pluripotent stem cell-derived endothelial cells (iPSC-ECs) and a high-throughput screening approach were used to assess endothelial integrity following exposure to 6 different e-liquids with varying nicotine concentrations and to serum from e-cigarette users. RESULTS: The cytotoxicity of the e-liquids varied considerably, with the cinnamon-flavored product being most potent and leading to significantly decreased cell viability, increased reactive oxygen species (ROS) levels, caspase 3/7 activity, and low-density lipoprotein uptake, activation of oxidative stress-related pathway, and impaired tube formation and migration, confirming endothelial dysfunction. Upon exposure of ECs to e-liquid, conditioned media induced macrophage polarization into a pro-inflammatory state, eliciting the production of interleukin-1ß and -6, leading to increased ROS. After exposure of human iPSC-ECs to serum of e-cigarette users, increased ROS linked to endothelial dysfunction was observed, as indicated by impaired pro-angiogenic properties. There was also an observed increase in inflammatory cytokine expression in the serum of e-cigarette users. CONCLUSIONS: Acute exposure to flavored e-liquids or e-cigarette use exacerbates endothelial dysfunction, which often precedes cardiovascular diseases.

A Pilot Study of E-Cigarette Naïve Cigarette Smokers and the Effects on Craving After Acute Exposure to E-Cigarettes in the Laboratory.

BACKGROUND AND OBJECTIVES: Recent surveys confirm continued increases in the use of electronic-cigarettes (e-cigarettes) in adolescents and adults. Users often state that e-cigarettes reduce tobacco craving and withdrawal symptoms in addition to their smoking. Data from laboratory studies and clinical trials have confirmed these statements, though there are inconsistencies in the outcomes. In this pilot study, we set out to evaluate the effects of e-cigarettes, as compared to the participants' own cigarettes, on baseline craving and smoking severity. METHODS: Using a within-subjects, placebo-controlled study design, 15 tobacco-dependent, e-cigarette naïve participants sustained abstinence overnight. They completed distinct phases of this protocol during four separate study sessions. Participants were randomized to an e-cigarette device containing one of three doses of nicotine (0, 18, or 36 mg/ml) or their own cigarette. Each study visit was ~3 hours long and separated by at least 7 days. Visits included assessments of craving and smoking severity. RESULTS: The data showed that after 10 puffs in both the Own cigarette and e-cigarette conditions, breath carbon monoxide levels increased significantly in the former but not the latter. Questionnaire of Smoking Urges and Choices to Smoke scores were not statistically different across groups after two distinct bouts of 10 puffs each. Additionally, E-cigarette Perceptions Questionnaire responses were not significantly different according to dose. CONCLUSION AND SCIENTIFIC SIGNIFICANCE: This experiment provides data demonstrating that e-cigarettes did not reduce craving or smoking severity in e-cigarette naïve users. However, since this was a pilot study, the conclusions that can be drawn are limited. (Am J Addict 2019;28:361-366).

Fourth generation e-cigarette vaping induces transient lung inflammation and gas exchange disturbances: results from two randomized clinical trials.

When heated by an electronic cigarette, propylene glycol and glycerol produce a nicotine-carrying-aerosol. This hygroscopic/hyperosmolar aerosol can deposit deep within the lung. Whether these deposits trigger local inflammation and disturb pulmonary gas exchanges is not known. The aim of this study was to assess the acute effects of high-wattage electronic cigarette vaping with or without nicotine on lung inflammation biomarkers, transcutaneous gas tensions, and pulmonary function tests in young and healthy tobacco smokers. Acute effects of vaping without nicotine on arterial blood gas tensions were also assessed in heavy smokers suspected of coronary artery disease. Using a single-blind within-subjects study design, 25 young tobacco smokers underwent three experimental sessions in random order: sham-vaping and vaping with and without nicotine at 60 W. Twenty heavy smokers were also exposed to sham-vaping (n = 10) or vaping without nicotine (n = 10) in an open-label, randomized parallel study. In the young tobacco smokers, compared with sham-vaping: 1) serum club cell protein-16 increased after vaping without nicotine (mean ± SE, -0.5 ± 0.2 vs. +1.1 ± 0.3 µg/l, P = 0.013) and vaping with nicotine (+1.2 ± 0.3 µg/l, P = 0.009); 2) transcutaneous oxygen tension decreased for 60 min after vaping without nicotine (nadir, -0.3 ± 1 vs. -15.3 ± 2.3 mmHg, P < 0.001) and for 80-min after vaping with nicotine (nadir, -19.6 ± 2.8 mmHg, P < 0.001). Compared with sham vaping, vaping without nicotine decreased arterial oxygen tension for 5 min in heavy-smoking patients (+5.4 ± 3.3 vs. -5.4 ± 1.9 mmHg, P = 0.012). Acute vaping of propylene glycol/glycerol aerosol at high wattage with or without nicotine induces airway epithelial injury and sustained decrement in transcutaneous oxygen tension in young tobacco smokers. Intense vaping conditions also transiently impair arterial oxygen tension in heavy smokers.

Exposure to Cadmium and Lead in Cigarette Smokers Who Switched to Electronic Cigarettes.

INTRODUCTION: Electronic cigarettes (ECs) seem to be a less harmful alternative for conventional cigarettes. This study aimed to assess whether the generated aerosols from ECs contain lower amount of cadmium (Cd) and lead (Pb) than cigarette smoke and to detect any changes in exposure to Cd and Pb among cigarette smokers who switched completely or partially to EC. METHODS: EC aerosols and cigarette smoke were generated, and the determination of Cd and Pb in trapped samples and e-liquids was performed by the electrothermal atomic absorption spectrometry method. A cross-sectional, group-based survey was carried out using 156 volunteers classified into groups of nonsmokers, EC-only users, dual EC users-cigarette smokers, and cigarette-only smokers. Using electrothermal atomic absorption spectrometry, blood Cd and Pb levels were measured, and the results were compared by analysis of covariance. RESULTS: Transfer of Cd and Pb to EC aerosol was found to be minimal, although the metals were present in the remaining e-liquid from tanks used for vapor generation. The geometric mean blood Cd concentration adjusted for age and sex was 0.44 (95% confidence interval = 0.37 to 0.52) µg/L in the EC-only users, which was significantly lower than those in the smokers of 1.44 (1.16 to 1.78) and dual users of 1.38 (1.11 to 1.72). The blood Pb geometric mean differed significantly only between nonsmokers of 11.9 (10.6 to 13.3) and smokers of 15.9 (13.6 to 18.6). CONCLUSION: The study revealed that smokers who completely switched to ECs and quit smoking conventional cigarettes may significantly reduce their exposure to Cd and probably Pb. IMPLICATIONS: Switching to EC use is associated with a rapid and substantial decrease in the exposure to carcinogenic Cd. Exposure to Pb is probably also decreased but may be overshadowed by other factors. The study provides empirical data based not only on the analysis of generated aerosol but also on biological indicators of recent exposure-that is, the concentrations of Cd and Pb in blood, indicating EC as a potential harm-reduction device, especially regarding Cd exposure. However, in this case, dual EC use-cigarette smoking provides doubtful benefits.

Biomarkers of Exposure Specific to E-vapor Products Based on Stable-Isotope Labeled Ingredients.

INTRODUCTION: An important basis for risk estimation for e-cigarette (e-cig) users is a well-founded dosimetry. The objective of this study was to assess the applicability of stable-isotope e-liquid ingredients for exposure studies in vapers. METHODS: E-cigs with 10% of labeled propylene glycol (PG), glycerol (G), and nicotine was used by 20 experienced vapers under controlled (Part A) and free (Part B) conditions. In Part A, 10 subjects vaped at 10 W and another 10 subjects at 18 W power setting of the e-cig. In Part B, the same subjects used the same product ad libitum in their usual environment. Five smokers, smoking 10 non-filter cigarettes, spiked with labeled PG, G, and nicotine, served as positive control during Part A. PG, G, nicotine and its metabolites were measured in plasma, urine, and saliva. RESULTS: Peak nicotine levels (sum of measured labeled and unlabeled) in plasma were lower in vapers (15.8 to 19.6 ng/mL) than in smokers (36 ng/mL). The labeled plasma nicotine levels were ten times lower than the unlabeled, reflecting the ratio in the e-liquid. PG levels in plasma and urine also reflected the vaping activities in Part A, while G in these body fluids showed no association with vaping. CONCLUSIONS: This proof of concept study shows that the application of labeled e-liquid ingredients allows the accurate quantification of the dose of nicotine and PG when other nicotine and tobacco products were used simultaneously. Unchanged G was not assessable by this approach. IMPLICATIONS: This approach allows the investigations of the absorption of potential PG-, G-, and nicotine-derived vapor constituents (eg, aldehydes and epoxides) by vaping. Appropriate studies are in progress in our laboratory.