ArticleCancer prevention research (Philadelphia, Pa.)2022
Saliva and Lung Microbiome Associations with Electronic Cigarette Use and Smoking.
Article in Cancer prevention research (Philadelphia, Pa.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.
- The association between self-reported vaping and the human oral microbiome: a systematic review.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026Pooled it
- Impact of Electronic Cigarette Use on the Oral Microbiota: A Systematic Review.Journal of clinical periodontology · 2026Pooled it
- Metagenome and Metabolic Pathways in Plaque Biofilms of Thai ELANE-Associated Neutropenic Patients: An Original Study and Scoping Review.European journal of dentistry · 2026Article
- The Effects of Smoking on Respiratory Microbiota Diversity and Composition: A Systematic Review with Exploratory Meta-Analysis.Microorganisms · 2026Review
- Impact of e-cigarette vaping on the immune system across the body.Physiological reviews · 2026Review
- Lung microbiome predictors of epigenetic aging and potential associations with smoking and electronic cigarette use.Clinical epigenetics · 2026Article
- The effect of vaping on the human lung microbiota.Inhalation toxicology · 2026Article
- The oral-lung axis in lung cancer: microbial translocation, immune reprogramming, and clinical implications.Frontiers in immunology · 2026Review
- From bugs to behavior: targeting the gut-brain interface for addiction therapeutics.Gut microbes · 2025Review
- Smoking-induced microbial dysbiosis: a key driver of systemic diseases and emerging therapeutic opportunities.Cell death discovery · 2025Review
- Impact of electronic cigarette use on the oral microbiome: a protocol for a systematic review of clinical studies.Systematic reviews · 2025Article
- Decoding E-Cigarette Secrets: Unveiling Saliva and E-Liquid Composition through Fourier-Transform Infrared Spectroscopy.ACS omega · 2025Article
- Variations in salivary microbiome and metabolites are associated with immunotherapy efficacy in patients with advanced NSCLC.mSystems · 2025Article
- 16S rRNA sequencing reveals relationships among enrichment of oral microbiota in the lower respiratory tract and pulmonary nodules malignant progression.Microbiology spectrum · 2025Article
- Distinctive circulating microbial metagenomic signatures in the plasma of patients with lung cancer and their potential value as molecular biomarkers.Journal of translational medicine · 2025Article
- Smoking Impacts Alzheimer's Disease Progression Through Oral Microbiota Modulation.Molecular neurobiology · 2025Review
- The effect ofJournal of oral microbiology · 2025Article
- E-Cigarette Use, Cigarette Smoking, and Sex Are Associated With Nasal Microbiome Dysbiosis.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024Article
- The Metabolic Potential of the Human Lung Microbiome.Microorganisms · 2024Article
- The paradox of the safer cigarette: understanding the pulmonary effects of electronic cigarettes.The European respiratory journal · 2024Review
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
Abstract
The microbiome has increasingly been linked to cancer. Little is known about the lung and oral cavity microbiomes in smokers, and even less for electronic cigarette (EC) users, compared with never-smokers. In a cross-sectional study (n = 28) of smokers, EC users, and never-smokers, bronchoalveolar lavage and saliva samples underwent metatranscriptome profiling to examine associations with lung and oral microbiomes. Pairwise comparisons assessed differentially abundant bacteria species. Total bacterial load was similar between groups, with no differences in bacterial diversity across lung microbiomes. In lungs, 44 bacteria species differed significantly (FDR < 0.1) between smokers/never-smokers, with most decreased in smokers. Twelve species differed between smokers/EC users, all decreased in smokers of which Neisseria sp. KEM232 and Curvibacter sp. AEP1-3 were observed. Among the top five decreased species in both comparisons, Neisseria elongata, Neisseria sicca, and Haemophilus parainfluenzae were observed. In the oral microbiome, 152 species were differentially abundant for smokers/never-smokers, and 17 between smokers/electronic cigarette users, but only 21 species were differentially abundant in both the lung and oral cavity. EC use is not associated with changes in the lung microbiome compared with never-smokers, indicating EC toxicity does not affect microbiota. Statistically different bacteria in smokers compared with EC users and never-smokers were almost all decreased, potentially due to toxic effects of cigarette smoke. The low numbers of overlapping oral and lung microbes suggest that the oral microbiome is not a surrogate for analyzing smoking-related effects in the lung. PREVENTION RELEVANCE: The microbiome affects cancer and other disease risk. The effects of e-cig usage on the lung microbiome are essentially unknown. Given the importance of lung microbiome dysbiosis populated by oral species which have been observed to drive lung cancer progression, it is important to study effects of e-cig use on microbiome.
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Registered trials
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.