Electronic cigarette use enriches periodontal pathogens
- PMID: 34997976
- DOI: 10.1111/omi.12361
Electronic cigarette use enriches periodontal pathogens
Abstract
The effect of electronic cigarette (e-cigarette) smoking, especially its long-term impact on oral health, is poorly understood. Here, we conducted a longitudinal clinical study with two study visits, 6 months apart, to investigate the effect of e-cigarette use on the bacterial community structure in the saliva of 101 periodontitis patients. Our data demonstrated that e-cigarette use altered the oral microbiome in periodontitis patients, enriching members of the Filifactor, Treponema, and Fusobacterium taxa. For patients at the same periodontal disease stage, cigarette smokers and e-cigarette smokers shared more similarities in their oral bacterial composition. E-cigarette smoking may have a similar potential as cigarette smoking at altering the bacterial composition of saliva over time, leading to an increase in the relative abundance of periodontal disease-associated pathogens such as Porphyromonas gingivalis and Fusobacterium nucleatum. The correlation analysis showed that certain genera, such as Dialister, Selenomonas, and Leptotrichia in the e-cigarette smoking group, were positively correlated with the levels of proinflammatory cytokines, including IFN-γ, IL-1β, and TNF-α. E-cigarette use was also associated with elevated levels of proinflammatory cytokines such as IFN-γ and TNF-α, which contribute to oral microbiome dysbiosis and advanced disease state.
Keywords: e-cigarette; microbiome; periodontium; saliva.
© 2022 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
References
REFERENCES
-
- Abusleme, L., Dupuy, A. K., Dutzan, N., Silva, N., Burleson, J. A., Strausbaugh, L. D., Gamonal, J., & Diaz, P. I. (2013). The subgingival microbiome in health and periodontitis and its relationship with community biomass and inflammation. The ISME Journal, 7(5), 1016-1025. https://doi.org/10.1038/ismej.2012.174 http://doi.org/10.1038/ismej.2012.174
-
- Aja, E., Mangar, M., Fletcher, H. M., & Mishra, A. (2021). Filifactor alocis: Recent insights and advances. Journal of Dental Research, 100(8), 790-797. https://doi.org/10.1177/00220345211000656
-
- Andrews, S. (2010). FastQC: A quality control tool for high throughput sequence data. Retrieved from http://www.bioinformatics.babraham.ac.uk/projects/fastqc/
-
- Andrukhov, O., Hong, J. S. -A., Andrukhova, O., Blufstein, A., Moritz, A., & Rausch-Fan, X. (2017). Response of human periodontal ligament stem cells to IFN-γ and TLR-agonists. Scientific Reports, 7(1), 12856. https://doi.org/10.1038/s41598-017-12480-7
-
- Bolyen, E., Rideout, J. R., Dillon, M. R., Bokulich, N. A., Abnet, C. C., Al-Ghalith, G. A., Alexander, H., Alm, E. J., Arumugam, M., Asnicar, F., Bai, Y., Bisanz, J. E., Bittinger, K., Brejnrod, A., Brislawn, C. J., Brown, C. T., Callahan, B. J., Caraballo-Rodríguez, A. M., Chase, J., …Caporaso, J. G. (2019). Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nature Biotechnology, 37(8), 852-857. https://doi.org/10.1038/s41587-019-0209-9 http://doi.org/10.1038/s41587-019-0209-9
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
