Evidence mapPaperPMID 39763576Full record

ArticleJournal of oral microbiology2025

Differences in oral microbiota associated with type 2 diabetes mellitus between the Dai and Han populations.

Lingtong Tang, Keke Ding, Mengci Li, Xiaowen Chao, Tao Sun, Yuhuai Guo, Xufei Peng, Wei Jia, Tianlu Chen, Guoxiang Xie and 1 more

Abstract read
In one paragraph

Article in Journal of oral microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
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

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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
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  5. 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

11 authors.

Lingtong TangDepartment of Clinical Laboratory, The People's Hospital of Gao County, Yibin, Sichuan, China.
Keke DingCenter for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Mengci LiCenter for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaowen ChaoCenter for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Tao SunCenter for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yuhuai GuoCenter for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xufei PengCenter for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wei JiaCenter for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Tianlu ChenCenter for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Guoxiang XieHuman Metabolomics Institute Inc, Shenzhen, China.
Lei FengDepartment of Clinical Laboratory, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Type 2 diabetes mellitus (T2DM) development is closely linked to microbiota, influenced by geography, ethnicity, gender, and age. While the relationship between oral microbiota and T2DM has been explored, specific microbiota associated with T2DM in the Dai and Han populations remains unclear. This study aims to compare oral microbiota differences and identify keystone species between these populations, both with and without T2DM. Methods: We recruited 28 han participants (6 healthy children, 10 healthy adults, 12 adults with T2DM) and 34 Dai participants (11 healthy children, 10 healthy adults, 13 adults with T2DM). Blood samples were collected for biochemical analysis, and saliva samples underwent DNA extraction and 16S rRNA sequencing. Results: Age significantly influenced oral microbiota differences between the Dai and Han populations, overshadowing the effects of diabetes. In the Dai population with T2DM, notable increases in Conclusion: This is the first comparative analysis of oral microbiota in the Dai and Han populations with T2DM, highlighting age and ethnicity's influence on microbial composition.

Indexed as

Dai populationethnicHan populationOral microbiotatype 2 diabetes mellitus

Identifiers

PMID39763576
PMCPMC11703080

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.