Evidence map›Paper›PMID 37770955›Full record

ArticleJournal of translational medicine2023

Genetic evidence strengthens the bidirectional connection between gut microbiota and periodontitis: insights from a two-sample Mendelian randomization study.

Xinjian Ye, Bin Liu, Yijing Bai, Yue Cao, Sirui Lin, Linshuoshuo Lyu, Haohao Meng, Yuwei Dai, Ding Ye, Weiyi Pan and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Association of hepatitis A virus with periodontitis: a cross-sectional and genetic analysis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
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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

13 authors at 4 institutions in 1 country.

Xinjian YeSchool of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Stomatology Hospital, Cancer Center of Zhejiang University, Hangzhou, China.
Bin LiuDepartment of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China.
Yijing BaiThe First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Yue CaoSchool of Stomatology, Zhejiang Chinese Medical University, Hangzhou, China.
Sirui LinDepartment of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China.
Linshuoshuo LyuDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, USA.
Haohao MengSchool of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Stomatology Hospital, Cancer Center of Zhejiang University, Hangzhou, China.
Yuwei DaiSchool of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Stomatology Hospital, Cancer Center of Zhejiang University, Hangzhou, China.
Ding YeDepartment of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China.
Weiyi PanSchool of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Stomatology Hospital, Cancer Center of Zhejiang University, Hangzhou, China.
Zhiyong WangSchool of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Stomatology Hospital, Cancer Center of Zhejiang University, Hangzhou, China. wzy0809@zju.edu.cn.
Yingying MaoDepartment of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China. myy@zcmu.edu.cn.
Qianming ChenSchool of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Stomatology Hospital, Cancer Center of Zhejiang University, Hangzhou, China. qmchen@zju.edu.cn.ORCID http://orcid.org/0000-0003-2300-6117
Zhejiang Chinese Medical University · CNStomatology Hospital · CNZhejiang Cancer Hospital · CNZhejiang University Medical College Affiliated Stomatological Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent research has established the correlation between gut microbiota and periodontitis via oral-gut axis. Intestinal dysbiosis may play a pivotal bridging role in extra-oral inflammatory comorbidities caused by periodontitis. However, it is unclear whether the link is merely correlative or orchestrated by causative mechanistic interactions. This two-sample Mendelian randomization (MR) study was performed to evaluate the potential bidirectional causal relationships between gut microbiota and periodontitis. MATERIALS AND

methodsA two-sample MR analysis was performed using summary statistics from genome-wide association studies (GWAS) for gut microbiota (n = 18,340) and periodontitis (cases = 12,251; controls = 22,845). The inverse-variance weighted (IVW) method was used for the primary analysis, and we employed sensitivity analyses to assess the robustness of the main results. The PhenoScanner database was then searched for pleiotropy SNPs associated with potential confounders. In order to identify the possibly influential SNPs, we further conducted the leave-one-out analysis. Finally, a reverse MR analysis was performed to evaluate the possibility of links between periodontitis and genetically predicted gut microbiota alternation.

results2,699 single nucleotide polymorphisms (SNPs) associated with 196 microbiota genera were selected as instrumental variables (IVs). IVW method suggested that order Enterobacteriales (OR: 1.35, 95% CI 1.10-1.66), family Bacteroidales S24.7group (OR: 1.22, 95% CI 1.05-1.41), genus Lachnospiraceae UCG008 (OR: 1.16, 95% CI 1.03-1.31), genus Prevotella 7 (OR: 1.11, 95% CI 1.01-1.23), and order Pasteurellales (OR: 1.12, 95% CI 1.00-1.26) may be associated with a higher risk of periodontitis, while genus Ruminiclostridium 6 may be linked to a lower risk (OR: 0.82, 95% CI 0.70-0.95). The sensitivity and heterogeneity analyses yielded no indication of horizontal pleiotropy or heterogeneity. Only the association between order Enterobacteriales and the likelihood of periodontitis remained consistent across all alternative MR approaches. In the reverse MR analysis, four microbiota genera were genetically predicted to be down-regulated in periodontitis, whereas two were predicted to be up-regulated.

conclusionsThe present MR analysis demonstrated the potential bidirectional causal relationships between gut microbiota and periodontitis. Our research provided fresh insights for the prevention and management of periodontitis. Future research is required to support the finding of our current study.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaPeriodontitisGenome-Wide Association StudyHumansMendelian Randomization AnalysisExtra-oral inflammatory comorbidityGut microbiotaMendelian randomizationOral-gut axisPeriodontitisProbiotics

Identifiers

PMID37770955
PMCPMC10537583
OpenAlexW4387139991

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.