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.

Smoking and salivary microbiota: a cross-sectional analysis of an Italian alpine population / Antonello, Giacomo; Blostein, Freida; Bhaumik, Deesha; Davis, Elyse; Gögele, Martin; Melotti, Roberto; Pramstaller, Peter; Pattaro, Cristian; Segata, Nicola; Foxman, Betsy; Fuchsberger, Christian. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 13:(2023), pp. 1890401-1890412. [10.1038/s41598-023-42474-7]

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

Antonello, Giacomo;Segata, Nicola;
2023-01-01

Abstract

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.
2023
Antonello, Giacomo; Blostein, Freida; Bhaumik, Deesha; Davis, Elyse; Gögele, Martin; Melotti, Roberto; Pramstaller, Peter; Pattaro, Cristian; Segata, ...espandi
Smoking and salivary microbiota: a cross-sectional analysis of an Italian alpine population / Antonello, Giacomo; Blostein, Freida; Bhaumik, Deesha; Davis, Elyse; Gögele, Martin; Melotti, Roberto; Pramstaller, Peter; Pattaro, Cristian; Segata, Nicola; Foxman, Betsy; Fuchsberger, Christian. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 13:(2023), pp. 1890401-1890412. [10.1038/s41598-023-42474-7]
File in questo prodotto:
File Dimensione Formato  
s41598-023-42474-7.pdf

accesso aperto

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Creative commons
Dimensione 2.18 MB
Formato Adobe PDF
2.18 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/409218
Citazioni
  • ???jsp.display-item.citation.pmc??? 1
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 2
  • OpenAlex ND
social impact