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Inflammatory and Carcinogenic Biomarker Signatures in E-Cigarette Users: A Comprehensive Meta-Analysis of ∼24,000 Adults

Khalid A. Bin Abdulrahman, Amro K. Bin Abdulrahman, Razique Anwer

International Journal of Public Health, 2025

24,079 participants · 3 citations

Abstract

Objectives: This meta-analysis examined the association between electronic cigarette (e-cig) use and biomarkers related to lung inflammation and carcinogenesis. Methods: A systematic review of PubMed, Scopus, Web of Science, EMBASE, and Cochrane Library (2014-April 2024) identified 16 studies including 24,079 adults. Biomarkers from urine, saliva, and plasma-cotinine, NNAL, NAT, and interleukins-were analyzed using one-way ANOVA and Tukey's post-hoc tests. The GRADE framework assessed evidence certainty and risk of bias. Results: Among participants, 27.2% were smokers, 2.7% e-cig users, 66.0% non-smokers, and 4.1% dual users. E-cig users showed higher salivary cotinine than non-smokers (p = 0.033) but not smokers (p = 0.99). NNAL was significantly elevated in smokers (p = 0.035). E-cig users had increased inflammatory markers (IL-6, TNF-α) compared with non-smokers but lower than smokers. Carcinogenic biomarkers were present in e-cig users at reduced concentrations versus smokers. GRADE indicated low to high certainty with no or moderate bias. Conclusion: E-cigarette use is associated with biomarker alterations indicating inflammation and potential carcinogenesis, paralleling some effects of traditional smoking. Standardized longitudinal studies are needed to establish causality and long-term risks.

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 24,079 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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