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Oral Epithelium Response of Electronic Cigarette Users to Electronic Cigarette

ABSTRACT: Electronic cigarettes (EC) are increasing in popularity, but there is only little information on their biologic effects on the oral epithelium, the initial site exposed to EC smoke. We assessed the oral epithelium response to EC by comparing the histology and RNA transcriptome (mRNA and miRNA) of healthy EC vapers to nonsmokers (NS). mRNA was assessed based on: (1) genome-wide; (2) genes previously identified as dysregulated in the oral epithelium of EC vapers vs NS; (3) immune and inflammatory-related genes previously identified as dysregulated in the nasal epithelium of EC vapers compared to NS; (4) genes previously identified as dysregulated in the small airway epithelium of NS following an acute exposure to EC; and (5) genes related to the initial steps of COVID-19 infection. In addition, miRNA was assessed genome-wide. Comparisons were performed using ANOVA, and Benajmini-Hochberg corrected p <0.05 was considered significant. The histology of the epithelium, lamina propria and basal layer in EC vapers appeared normal. Assessment of mRNA and miRNA, based on all gene lists, did not identify any genes significantly modified in the oral epithelium of EC vapers. Assessment of the oral epithelium of healthy EC vapers by histology, mRNA and miRNA demonstrated no abnormalities in response to EC smoke.

ORGANISM(S): Homo sapiens

PROVIDER: GSE176492 | GEO | 2025/06/05

REPOSITORIES: GEO

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Project description:Background: The microbiome is increasingly being linked to cancer risk. Little is known about the lung and oral cavity microbiomes in healthy smokers (SM), and even less for electronic cigarette (EC) users, compared healthy never-smokers (NS). Methods: In a cross-sectional pilot study of SM (N=8), EC users (N=10) and NS (N=10) saliva and bronchoscopy-collected bronchoalveolar lavage samples were collected. Bacteria species were identified through metatranscriptome profiling by RNA-sequencing to study associations with the lung and oral microbiome. Pairwise comparisons and linear modeling was assessed with false discovery rates <0.1. Results: Total bacterial load was similar for the SM, EC users and NS, and there was no differences in the bacterial diversity across groups. In the lung, there were 44 bacterial species that were statistically significantly different for SM/NS, 80% of which were decreased in the SM. There were 12 bacterial species that were different for SM/EC users, all of which were decreased, 10 of which were also identified in the SM/NS comparison. The 2 bacterial species unique to SM/EC comparison were Neisseria sp. KEM232 and Curvibacter sp. AEP1-3. From the top 5 decreased species in SM/EC, 3 were also identified in the SM/NS comparison (Neisseria elongata, Neisseria sicca, and Haemophilus parainfluenzae) and 2 of these were unique to the SM/EC comparison (Neisseria zoodegmatis and Ottowia sp. oral taxon 894). There were 8 species increased in SM compared to NS, none of which are known to be clinically significant. In the oral microbiome, 152 bacteria species were differentially abundant for the SM/NS analysis, and only 17 for the EC/NS comparison, all which were also present in SM/NS comparisons. There were 21 bacteria that were differentially abundant in both the lung and oral cavity for SM and NS, 95% also were decreased in the SM. Conclusion: Smoking and EC use do not appear to materially affect the lung microbiome, although differences are noted of unclear clinical significance. Most differentially abundant bacteria decreased, which may be due to a toxic effect of cigarette smoke, including a change in humidity or heating. Given the low number of overlapping oral and lung microbes, the oral microbiome does not appear to be a good surrogate for smoking-related effects in the lung.

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Oral Epithelium Response of Electronic Cigarette Users to Electronic Cigarette

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