Evidence map›Paper›PMID 40825877›Full record

ArticleApplied microbiology and biotechnology2025

Signature of oral microbial dysbiosis in different periodontitis risk levels.

Yanan Xu, Yali Liu, Ying Leng, Jinrun Qian, Qiao Yang, Jing Zhu, Guiding Li, Yi Peng

Abstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2025. 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

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

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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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Yanan Xu *Department of Periodontology, the Affiliated Stomatology Hospital of Kunming Medical University, Kunming, 650106, People's Republic of China.
Yali Liu *Department of Orthodontics, the Affiliated Stomatology Hospital of Kunming Medical University, Kunming, 650106, People's Republic of China.
Ying LengDepartment of Periodontology, the Affiliated Stomatology Hospital of Kunming Medical University, Kunming, 650106, People's Republic of China.
Jinrun QianDepartment of Implantology, the Affiliated Stomatology Hospital of Kunming Medical University, Kunming, 650106, People's Republic of China.
Qiao YangDepartment of Periodontology, the Affiliated Stomatology Hospital of Kunming Medical University, Kunming, 650106, People's Republic of China.
Jing ZhuDepartment of Periodontology, the Affiliated Stomatology Hospital of Kunming Medical University, Kunming, 650106, People's Republic of China.
Guiding LiDepartment of Periodontology, the Affiliated Stomatology Hospital of Kunming Medical University, Kunming, 650106, People's Republic of China. liguiding@kmmu.edu.cn.
Yi PengDepartment of Periodontology, the Affiliated Stomatology Hospital of Kunming Medical University, Kunming, 650106, People's Republic of China. pengyi@kmmu.edu.cn.

Funding

National Key Clinical Specialty Development Project of Pediatric Dentistry Division of China EYQ2024001Natural Science Foundation of Yunnan Province 202401AU070088the Joint Fund of Yunnan Provincial Science and Technology Office and Kunming Medical University 202401AY070001-365the Joint Fund of Yunnan Provincial Science and Technology Office and Kunming Medical University 202501AY070001-052Xingdian Talents Support Program XDYC-YLWS-2023-0048
6 · The paper itself

Abstract

Individuals categorized into distinct periodontitis risk levels often demonstrate substantial disparities not only in the likelihood of developing periodontitis but also in the rate at which the disease progresses. However, the oral microbial communities and their functional characteristics corresponding to different periodontitis risk levels remain to be further explored. Therefore, 52 subjects with periodontitis were selected and categorized into different periodontitis risk groups based on the periodontal risk calculator (PRC). Unstimulated saliva was collected, and metagenomics sequencing was performed to compare microbial diversity, taxonomy, and functional annotation among groups. There was no significant difference in species richness and evenness between the very high risk group and the high risk group, but beta diversity increased in the former group. A higher abundance of Filifactor alocis, Streptococcus cristatus, Klebsiella pneumoniae, and Streptococcus anginosus was attributed to the very high risk group, while Pseudopropionibacterium propionicum and Abiotrophia defectiva were found in higher abundance in the high risk group. Functional annotation revealed that biosynthesis of amino acids (lysine biosynthesis; phenylalanine, tyrosine and tryptophan biosynthesis; valine, leucine, and isoleucine biosynthesis), citrate cycle (TCA cycle), carbon fixation pathways in prokaryotes, oxidative phosphorylation, lipopolysaccharide biosynthesis, fatty acid biosynthesis, ubiquinone and other terpenoid-quinone biosynthesis, pantothenate and CoA biosynthesis, and glutathione metabolism were enriched in the very high risk group. The combined results indicate that the periodontal pathogens associated with a higher risk of periodontitis and the regulation of their related functional pathways increase the risk and likelihood of periodontitis development. KEY POINTS : • There were differences in microbial diversity among different periodontitis risk-level groups. • Some previously overlooked species and pathogenic pathways were linked to periodontitis risk differences. • Combining PRC with metagenomic sequencing revealed more potential pathogens.

Indexed as

BacteriaDysbiosisMicrobiotaMouthPeriodontitisAdultFemaleHumansMaleMetagenomicsMiddle AgedSalivaMetagenomicsMicrobiologyPeriodontitisRisk assessment

Identifiers

PMID40825877
PMCPMC12361276

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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.