Department of Nephrology, The First Hospital of Shanxi Medical University, Taiyuan, China.
Department of Nephrology, Shanxi Medical University, Taiyuan, China.
Front Public Health. 2024 Jun 19;12:1342313. doi: 10.3389/fpubh.2024.1342313. eCollection 2024.
Studies have shown that gut dysbiosis contributes to the pathophysiology of type 2 diabetes mellitus (T2DM). Identifying specific gut microbiota dysbiosis may provide insight into the pathogenesis of T2DM.
This study investigated the causal relationship between gut microbiota and T2DM using meta-analysis and Mendelian randomization (MR).
In the first part, we searched for literature on gut microbiota and T2DM, and conducted a meta-analysis. We observed differences in glycosylated hemoglobin and fasting blood glucose levels in both groups. Second, we obtained GWAS data from genome-wide association study database 19 (GWAS). We used two-sample MR analysis to verify the forward and reverse causal associations between gut microbiota and T2DM. Additionally, we selected the European GWAS data from the European Bioinformatics Institute (EBI) as a validation set for external validation of the MR analysis. In the third part, we aimed to clarify which gut microbiota contribute to the degree of causal association between group disorders and T2DM through multivariate MR analysis and Bayesian model averaging (MR-BMA).
Our research results suggest that gut microbiota is closely related to T2DM pathogenesis. The results of further MR research and an analysis of the prediction model indicate that a variety of gut microbiota disorders, including , are causally related to the development of T2DM. The findings of this study may provide some insight into the diagnosis and treatment of T2DM.
研究表明,肠道菌群失调与 2 型糖尿病(T2DM)的病理生理学有关。确定特定的肠道微生物群失调可能有助于了解 T2DM 的发病机制。
本研究通过荟萃分析和孟德尔随机化(MR)来研究肠道微生物群与 T2DM 之间的因果关系。
在第一部分,我们搜索了肠道微生物群与 T2DM 的文献,并进行了荟萃分析。我们观察了两组之间糖化血红蛋白和空腹血糖水平的差异。其次,我们从全基因组关联研究数据库 19(GWAS)获得了 GWAS 数据。我们使用两样本 MR 分析来验证肠道微生物群与 T2DM 之间的正向和反向因果关系。此外,我们选择了欧洲生物信息研究所(EBI)的欧洲 GWAS 数据作为 MR 分析外部验证的验证集。在第三部分,我们旨在通过多变量 MR 分析和贝叶斯模型平均(MR-BMA)来阐明哪些肠道微生物群有助于群体紊乱与 T2DM 之间的因果关联程度。
我们的研究结果表明,肠道微生物群与 T2DM 的发病机制密切相关。进一步的 MR 研究和预测模型分析结果表明,多种肠道微生物群紊乱,包括、等,与 T2DM 的发生发展存在因果关系。本研究结果可能为 T2DM 的诊断和治疗提供一些思路。