Evidence map›Paper›PMID 42210032›Full record

ArticleJournal of periodontology2026

Association between oral microbial diversity and periodontitis in a nationally representative U.S. population: A cross-sectional study.

Rui Pu, Zhikang Wang, Yunxuan Chen, Danhong Zhou, Guoli Yang, Zhiwei Jiang

Abstract read
In one paragraph

Article in Journal of periodontology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

6 authors.

Rui PuSchool of Stomatology, Zhejiang Provincial Clinical Research Center for Oral Diseases, Zhejiang Key Laboratory of Oral Biomedical Research, Stomatology Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0001-8049-3041
Zhikang WangSchool of Stomatology, Zhejiang Provincial Clinical Research Center for Oral Diseases, Zhejiang Key Laboratory of Oral Biomedical Research, Stomatology Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yunxuan ChenSchool of Stomatology, Zhejiang Provincial Clinical Research Center for Oral Diseases, Zhejiang Key Laboratory of Oral Biomedical Research, Stomatology Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0009-0002-7365-7874
Danhong ZhouSchool of Stomatology, Zhejiang Provincial Clinical Research Center for Oral Diseases, Zhejiang Key Laboratory of Oral Biomedical Research, Stomatology Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Guoli YangSchool of Stomatology, Zhejiang Provincial Clinical Research Center for Oral Diseases, Zhejiang Key Laboratory of Oral Biomedical Research, Stomatology Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0002-1780-8757
Zhiwei JiangSchool of Stomatology, Zhejiang Provincial Clinical Research Center for Oral Diseases, Zhejiang Key Laboratory of Oral Biomedical Research, Stomatology Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0001-8203-6151

Funding

National Natural Science Foundation of China 82370991National Natural Science Foundation of China 82571129
6 · The paper itself

Abstract

backgroundTo investigate the association between salivary oral microbiome diversity and periodontitis in a nationally representative U.S. POPULATION:

methodsA total of 5323 participants with both periodontal examination and oral microbiome data from NHANES 2009-2012 were included. Periodontitis was defined using 2012 CDC/AAP criteria. Four alpha diversity indices (operational taxonomic unit [OTU] richness, Faith's phylogenetic diversity [FPD], the Shannon-Weiner index [SWI], and the inverse Simpson index [ISI]) were calculated. Beta diversity metrics (Bray-Curtis, weighted and unweighted UniFrac) were assessed using PERMANOVA for group comparisons and hierarchical clustering to identify subgroups. Ordered logistic regression was employed to examine the associations between periodontitis severity and microbial alpha diversity, beta diversity clusters, and bacterial genus abundances.

resultsHigher alpha diversity was positively associated with greater periodontitis severity (OTU richness: OR = 1.01, 95%CI: 1.01-1.02; FPD: OR = 1.21, 95%CI: 1.19-1.24; SWI: OR = 2.03, 95%CI: 1.81-2.30; ISI: OR = 16.61, 95%CI: 1.75-157.59). Beta diversity analyses revealed significant community compositional differences across periodontitis severity levels (PERMANOVA, all p = 0.001). Hierarchical clustering identified distinct microbial subgroups with varying odds of belonging to more severe periodontitis levels. Eighty-two bacterial genera were significantly associated with periodontitis, including taxa showing strong positive associations consistent with the red and orange complexes (e.g., Porphyromonas, Tannerella, Treponema) and taxa exhibiting negative associations involving health-associated genera (e.g., Rothia, Veillonella).

conclusionsSalivary microbiome diversity, particularly higher alpha diversity and specific beta diversity clusters, was associated with periodontitis severity, supporting its potential relevance as a non-invasive indicator of periodontal health status. PLAIN LANGUAGE SUMMARY: This national study examined the relationship between the types and quantities of microbes present in saliva and the severity of periodontitis in more than 5,300 U.S. adults. We found that the more diverse the microbial community in a person's saliva-meaning a greater variety and number of different types-the more severe their periodontitis tended to be. We also found that the composition of these microbes differed depending on the severity of the periodontitis. Specifically, certain clusters of microbes, including well-known disease-causing bacteria such as Porphyromonas and Treponema (often called the red and orange complexes), were strongly associated with more severe periodontitis. Conversely, other common, generally healthy bacteria were less abundant. These findings suggest that analyzing the diversity and composition of microbes in saliva could be a valuable, noninvasive way to check for and potentially monitor the severity of periodontitis.

Indexed as

MicrobiotaMouthPeriodontitisSalivaAdultBacteriaCross-Sectional StudiesFemaleHumansMaleMiddle AgedUnited Statesalpha diversitybeta diversityNHANESoral microbiomeperiodontitis

Identifiers

PMID42210032
PMCPMC13380331

What OpenQuestion holds

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Registered trials

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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.