Evidence map›Paper›PMID 37919319›Full record

ArticleScientific reports2023

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

Giacomo Antonello, Freida Blostein, Deesha Bhaumik, Elyse Davis, Martin Gögele, Roberto Melotti, Peter Pramstaller, Cristian Pattaro, Nicola Segata, Betsy Foxman and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 2 countries.

Giacomo AntonelloInstitute for Biomedicine, Eurac Research - Affiliated Institute of the University of Lübeck, Bolzano, Italy. giacomo.antonello@eurac.edu.
Freida BlosteinSchool of Public Health - Epidemiology, University of Michigan, Ann Arbor, MI, USA.
Deesha BhaumikSchool of Public Health - Epidemiology, University of Michigan, Ann Arbor, MI, USA.
Elyse DavisSchool of Public Health - Epidemiology, University of Michigan, Ann Arbor, MI, USA.
Martin GögeleInstitute for Biomedicine, Eurac Research - Affiliated Institute of the University of Lübeck, Bolzano, Italy.
Roberto MelottiInstitute for Biomedicine, Eurac Research - Affiliated Institute of the University of Lübeck, Bolzano, Italy.
Peter PramstallerInstitute for Biomedicine, Eurac Research - Affiliated Institute of the University of Lübeck, Bolzano, Italy.
Cristian PattaroInstitute for Biomedicine, Eurac Research - Affiliated Institute of the University of Lübeck, Bolzano, Italy.
Nicola SegataDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.
Betsy FoxmanSchool of Public Health - Epidemiology, University of Michigan, Ann Arbor, MI, USA. bfoxman@umich.edu.
Christian FuchsbergerInstitute for Biomedicine, Eurac Research - Affiliated Institute of the University of Lübeck, Bolzano, Italy. christian.fuchsberger@eurac.edu.
University of Michigan–Ann Arbor · USEurac Research · ITInstitute for Biomedicine · ITUniversity of Trento · IT

Funding

Psychosocial Influences on Rural Children's Oral HealthR01DE014899 · NIDCR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FOXMAN, BETSY, MARAZITA, MARY L. · 2002 to 2020
$39.9M
NIDCR NIH HHS R01 DE014899
6 · The paper itself

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.

Indexed as

Cigarette SmokingMicrobiotaCross-Sectional StudiesHumansNitratesRNA, Ribosomal, 16SSmokersNitratesRNA, Ribosomal, 16S

Identifiers

PMID37919319
PMCPMC10622503
OpenAlexW4388210102

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.