Evidence map›Paper›PMID 38547181›Full record

ArticlePloS one2024

Saliva sampling method influences oral microbiome composition and taxa distribution associated with oral diseases.

Cristian Roca, Alaa A Alkhateeb, Bryson K Deanhardt, Jade K Macdonald, Donald L Chi, Jeremy R Wang, Matthew C Wolfgang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
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  5. Review
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  9. Article
  10. Review
  11. Advances in Sinonasal Microbiome Analysis.Ear, nose, & throat journal · 2025
    Article
  12. Review
  13. Impact of increasedJournal of oral microbiology · 2025
    Article
  14. Article
  15. Article
  16. Higher Prevalence of the Periodontal PathogenPathogens (Basel, Switzerland) · 2024
    Article
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

7 authors at 2 institutions in 2 countries.

Cristian RocaDepartment of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Alaa A AlkhateebDepartment of Dental Health Sciences, School of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Bryson K DeanhardtDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Jade K MacdonaldMarsico Lung Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Donald L ChiDepartment of Oral Health Sciences, School of Dentistry, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0003-2289-7747
Jeremy R WangDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID 0000-0002-0673-9418
Matthew C WolfgangDepartment of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID 0000-0003-4534-6470
University of North Carolina at Chapel Hill · USUniversity of Washington · US

Funding

Understanding Oral Diseases in Cystic Fibrosis to Develop Tailored Preventive Dental Interventions.U01DE030418 · NIDCR · UNIVERSITY OF WASHINGTON · PI KIM, AMY S, ROSENFELD, MARGARET · 2021 to 2025
$3.7M
Advanced sequencing as a novel diagnostic tool to discover strain-level variation and function of mucosal-adherent bacteria contributing to IBDK01DK119582 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WANG, JEREMY R · 2019 to 2023
$754k
NIDCR NIH HHS U01 DE030418NIDDK NIH HHS K01 DK119582
6 · The paper itself

Abstract

Saliva is a readily accessible and inexpensive biological specimen that enables investigation of the oral microbiome, which can serve as a biomarker of oral and systemic health. There are two routine approaches to collect saliva, stimulated and unstimulated; however, there is no consensus on how sampling method influences oral microbiome metrics. In this study, we analyzed paired saliva samples (unstimulated and stimulated) from 88 individuals, aged 7-18 years. Using 16S rRNA gene sequencing, we investigated the differences in bacterial microbiome composition between sample types and determined how sampling method affects the distribution of taxa associated with untreated dental caries and gingivitis. Our analyses indicated significant differences in microbiome composition between the sample types. Both sampling methods were able to detect significant differences in microbiome composition between healthy subjects and subjects with untreated caries. However, only stimulated saliva revealed a significant association between microbiome diversity and composition in individuals with diagnosed gingivitis. Furthermore, taxa previously associated with dental caries and gingivitis were preferentially enriched in individuals with each respective disease only in stimulated saliva. Our study suggests that stimulated saliva provides a more nuanced readout of microbiome composition and taxa distribution associated with untreated dental caries and gingivitis compared to unstimulated saliva.

Indexed as

Dental CariesGingivitisMicrobiotaHumansRNA, Ribosomal, 16SSalivaRNA, Ribosomal, 16S

Identifiers

PMID38547181
PMCPMC10977688
OpenAlexW4393279444

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.