Smoking and salivary microbiota: a cross-sectional analysis of an Italian alpine population.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
02 11 2023
Historique:
received: 23 05 2023
accepted: 11 09 2023
medline: 6 11 2023
pubmed: 3 11 2023
entrez: 3 11 2023
Statut: epublish

Résumé

The oral microbiota plays an important role in the exogenous nitrate reduction pathway and is associated with heart and periodontal disease and cigarette smoking. We describe smoking-related changes in oral microbiota composition and resulting potential metabolic pathway changes that may explain smoking-related changes in disease risk. We analyzed health information and salivary microbiota composition among 1601 Cooperative Health Research in South Tyrol participants collected 2017-2018. Salivary microbiota taxa were assigned from amplicon sequences of the 16S-V4 rRNA and used to describe microbiota composition and predict metabolic pathways. Aerobic taxa relative abundance decreased with daily smoking intensity and increased with years since cessation, as did inferred nitrate reduction. Former smokers tended to be more similar to Never smokers than to Current smokers, especially those who had quit for longer than 5 years. Cigarette smoking has a consistent, generalizable association on oral microbiota composition and predicted metabolic pathways, some of which associate in a dose-dependent fashion. Smokers who quit for longer than 5 years tend to have salivary microbiota profiles comparable to never smokers.

Identifiants

pubmed: 37919319
doi: 10.1038/s41598-023-42474-7
pii: 10.1038/s41598-023-42474-7
pmc: PMC10622503
doi:

Substances chimiques

Nitrates 0
RNA, Ribosomal, 16S 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

18904

Subventions

Organisme : NIDCR NIH HHS
ID : R01 DE014899
Pays : United States

Informations de copyright

© 2023. The Author(s).

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Auteurs

Giacomo Antonello (G)

Institute for Biomedicine, Eurac Research - Affiliated Institute of the University of Lübeck, Bolzano, Italy. giacomo.antonello@eurac.edu.
Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy. giacomo.antonello@eurac.edu.

Freida Blostein (F)

School of Public Health - Epidemiology, University of Michigan, Ann Arbor, MI, USA.

Deesha Bhaumik (D)

School of Public Health - Epidemiology, University of Michigan, Ann Arbor, MI, USA.

Elyse Davis (E)

School of Public Health - Epidemiology, University of Michigan, Ann Arbor, MI, USA.

Martin Gögele (M)

Institute for Biomedicine, Eurac Research - Affiliated Institute of the University of Lübeck, Bolzano, Italy.

Roberto Melotti (R)

Institute for Biomedicine, Eurac Research - Affiliated Institute of the University of Lübeck, Bolzano, Italy.

Peter Pramstaller (P)

Institute for Biomedicine, Eurac Research - Affiliated Institute of the University of Lübeck, Bolzano, Italy.

Cristian Pattaro (C)

Institute for Biomedicine, Eurac Research - Affiliated Institute of the University of Lübeck, Bolzano, Italy.

Nicola Segata (N)

Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.

Betsy Foxman (B)

School of Public Health - Epidemiology, University of Michigan, Ann Arbor, MI, USA. bfoxman@umich.edu.

Christian Fuchsberger (C)

Institute for Biomedicine, Eurac Research - Affiliated Institute of the University of Lübeck, Bolzano, Italy. christian.fuchsberger@eurac.edu.

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