ArticleMetabolomics : Official journal of the Metabolomic Society2025
Exploratory untargeted metabolomics analysis reveals differences in metabolite profiles in pregnant people exposed vs. unexposed to E-cigarettes secondhand in the NYU children's health and environment study.
Article in Metabolomics : Official journal of the Metabolomic Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Metabolic disruption associated with e-cigarette vaping and secondhand exposure: Urinary metabolomics evidence from a Thai population.Toxicology reports · 2026Article
- Oxidative Stress-Related Metabolomic Alterations in Pregnancy: Evidence from Exposure to Air Pollution, Metals/Metalloid, and Tobacco Smoke.Antioxidants (Basel, Switzerland) · 2025Review
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Abstract
introductionSecondhand exposure to e-cigarettes represents a potential population health risk given e-cigarette's prevalence and their unknown health effects, particularly among vulnerable populations such as pregnant people.
objectivesTo explore metabolomic differences between pregnant people exposed vs. not exposed to secondhand e-cigarette aeresols, to identify possible biomarkers of exposure and metabolic pathways perturbed by e-cigarettes.
methodsExposed participants (n = 19) from the NYU Children's Health and Environment Study were matched to unexposed participants (n = 57) at a 1:3 ratio on age, hospital of recruitment, and race/ethnicity. Early-pregnancy urine samples were analyzed via an untargeted metabolomics platform using reverse-phase liquid chromatography mass-spectrometry. Feature-exposure associations were estimated using conditional logistic regression to adjust for matching factors. A sensitivity analysis was conducted adjusting for secondhand tobacco exposure.
resultsAmong features enriched in the exposed group were flavonoids and flavor-related compounds including homoeriodictyol and naringenin-7-O-beta-D-glucuronide, 3-acetomidocoumarin, and guaiacol pentosylglucoside; synthetic drugs such as the endocannabinoid AM1172 and the stimulant alpha-PVP; and metabolites associated with lipid metabolism, including 2,4-undecadiene-8,10-diynoic acid isobutylamide, palmitamide, glycerol trihexanoate, and tetradecyl phosphonate. Among features negatively associated with exposure were xanthines.
conclusionThis study is the first untargeted metabolomics study investigating metabolomic markers of e-cigarette exposure, including secondhand exposure, in a pregnant cohort. Despite this study's small size and exploratory nature, the results of this work suggest that flavoring components could be biomarkers for e-cigarette exposure, and that co-exposure to e-cigarettes and other drugs may be prevalent.
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