Evidence map›Paper›PMID 42519823›Full record

ArticleToxicology reports2026

Metabolic disruption associated with e-cigarette vaping and secondhand exposure: Urinary metabolomics evidence from a Thai population.

Preechaya Tajai, Suparada Sawatdikun, Tapakon Srisopa, Giatgong Konguthaithip, Pantira Parinyarux, Panida Ditsawanon, Piyapan Charoensook

Abstract read
In one paragraph

Article in Toxicology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Preechaya TajaiDepartment of Forensic Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.
Suparada SawatdikunDepartment of Forensic Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.
Tapakon SrisopaDepartment of Forensic Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.
Giatgong KonguthaithipDepartment of Forensic Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.
Pantira ParinyaruxSocial and Administrative Pharmacy Department, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok 10330, Thailand.
Panida DitsawanonFaculty of Pharmacy, Payap University, Chiang Mai 50000, Thailand.
Piyapan CharoensookChao Phraya Abhaibhubejhr Hospital, Prachin Buri 25000, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing use of electronic cigarettes (e-cigarettes) has raised concerns regarding potential health effects associated with both direct use and secondhand exposure to e-cigarette aerosols. However, human evidence describing systemic metabolic alterations related to these exposures remains limited. In this study, metabolomics was applied to compare urinary metabolic profiles among active e-cigarette users, individuals exposed to secondhand e-cigarette aerosols, and unexposed control participants. Multivariate analyses were performed to identify exposure-related metabolic signatures, followed by pathway enrichment and evaluation of candidate biomarkers. Distinct metabolic differences were observed across exposure groups. Direct e-cigarette use was associated with alterations in amino acid metabolism, mitochondrial energy pathways, and redox-related processes, with glutathione metabolism identified as a key associated pathway and oxidized glutathione highlighted as a candidate urinary biomarker of redox-related metabolic alterations. Secondhand exposure was primarily associated with alterations in alanine, aspartate, and glutamate metabolism, with L-glutamic acid demonstrating discriminatory performance as a candidate metabolite associated with metabolic differences related to secondhand e-cigarette aerosol exposure. Comparative pathway analyses suggested that direct e-cigarette use was associated with more extensive metabolic alterations than secondhand exposure, particularly in pathways linking glutamine-glutamate metabolism, the tricarboxylic acid cycle, and glutathione metabolism, suggesting a possible graded biological response to aerosol exposure. In addition, nicotine metabolism-related metabolites and e-liquid constituents, including propylene glycol, glycerol, and cotinine

Indexed as

Amino acid metabolismElectronic cigarettesGlutathione metabolismMetabolomicsSecondhand exposureTricarboxylic acid cycle

Identifiers

PMID42519823
PMCPMC13382386

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.