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

delete2026-05-23
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OA
AI
W
Wei Shi
Y
Yin, Junfang
S
Shiyan Tan
D
Dongjiao Wu
X
Xingrui Tao
H
Hongwei Zhang
F
Fengming You
Q
Qiong Ma
Y
Yifeng Ren *
Y
Yu, Hai *
DOI:10.1016/j.identj.2026.109517delete
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Abstract

Abstract

En 中文
Introduction and Aims: Evidence suggests a relationship between oral microbiota and cardiovascular diseases (CVDs). However, the roles of specific microbiota in the pathogenesis of CVDs remain underexplored. Methods: Two-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. Results: The 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. Conclusion: Using 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. (c) 2026 The Authors. Published by Elsevier Inc. on behalf of FDI World Dental Federation. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Keywords:
Oral microbiota
Cardiovascular diseases
Mendelian Randomization
16S rRNA
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Journal

International Dental Journal cover
International Dental Journal
IF:
3.7
Papers:
2.6K
Citations:
4.4K

Organization

U
university of electronic science & technology of china
Scholars:
2.6K
Papers: 785
Citations: 0
S
sichuan university
Scholars:
11.5W
Papers: 7.6W
Citations: 100
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