Evidence map›Paper›PMID 41904888›Full record

ArticleInternational dental journal2026

Oral Microbiota and Cardiovascular Diseases: A Study Integrating Genome-Wide Association and 16S rRNA Sequence Analyses.

Wei Shi, Junfang Yin, Shiyan Tan, Dongjiao Wu, Xingrui Tao, Hongwei Zhang, Fengming You, Qiong Ma, Yifeng Ren, Hai Yu

Abstract read
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Article in International dental journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Wei ShiDepartment of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China.
Junfang YinDepartment of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China.
Shiyan TanTCM Prevention and Treatment of Metabolic and Chronic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Dongjiao WuDepartment of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China.
Xingrui TaoWest China Medical School Sichuan University, Chengdu, China.
Hongwei ZhangDepartment of Anesthesiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
Fengming YouTCM Prevention and Treatment of Metabolic and Chronic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Qiong MaTCM Prevention and Treatment of Metabolic and Chronic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China. Electronic address: Maqiong.Dr@outlook.com.
Yifeng RenTCM Prevention and Treatment of Metabolic and Chronic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China. Electronic address: ryftcm.dr@yahoo.com.
Hai YuDepartment of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China. Electronic address: yuhai@scu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

INTRODUCTION AND

aimsEvidence suggests a relationship between oral microbiota and cardiovascular diseases (CVDs). However, the roles of specific microbiota in the pathogenesis of CVDs remain underexplored.

methodsTwo-sample mendelian randomization (MR) was applied to investigate the association between oral microbiota and six types of CVDs. Oral microbiota and CVDs were identified using large-scale genome-wide association study (GWAS) data from East Asian populations. Sequencing results from a clinical cohort were used to examine the directional consistency of the MR findings.

resultsThe MR analysis identified suggestive associations between specific oral bacteria and cardiovascular diseases, including 10 positive (risk factors) and 7 negative (protective factors) causative directions. Sensitivity analyses supported the robustness of these associations. Clinical observational analysis showed that seven risk-associated and 2 protective bacteria were significantly correlated with CVDs, demonstrating directional consistency with the MR findings.

conclusionUsing GWAS datasets and MR analysis, this study systematically investigated the relationships between oral microbiota and six distinct subtypes of CVDs and identified specific oral bacteria as potential targets for further investigation into CVDs prevention.

Indexed as

Cardiovascular DiseasesGenome-Wide Association StudyMicrobiotaMouthRNA, Ribosomal, 16SHumansMendelian Randomization AnalysisRisk FactorsRNA, Ribosomal, 16S16S rRNACardiovascular diseasesMendelian RandomizationOral microbiota

Identifiers

PMID41904888
PMCPMC13058974

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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.