Department of Traditional Chinese Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shaanxi Key Laboratory of Research on Traditional Chinese Medicine Physical Constitution and Diseases Prevention and Treatment, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China.
Front Cell Infect Microbiol. 2024 Mar 26;14:1327032. doi: 10.3389/fcimb.2024.1327032. eCollection 2024.
Mendelian randomization (MR) analysis has been used in the exploration of the role of gut microbiota (GM) in type 2 diabetes mellitus (T2DM); however, it was limited to the genus level. This study herein aims to investigate the relationship of GM, especially at the species level, with T2DM in order to provide some evidence for further exploration of more specific GM taxa and pathway abundance in T2DM.
This two-sample MR study was based on the summary statistics of GM from the available genome-wide association study (GWAS) meta-analysis conducted by the MiBioGen consortium as well as the Dutch Microbiome Project (DMP), whereas the summary statistics of T2DM were obtained from the FinnGen consortium released data. Inverse variance weighted (IVW), MR-Egger, strength test (), and weighted median methods were used to examine the causal association between GM and the onset of T2DM. Cochran's statistics was employed to quantify the heterogeneity of instrumental variables. Bonferroni's correction was conducted to correct the bias of multiple testing. We also performed reverse causality analysis.
The corrected IVW estimates suggested the increased relative abundance of family (OR = 1.0704) and genus (OR = 1.0874), respectively, were associated with higher odds of T2DM, while that of species (OR = 0.9460) had a negative relationship with T2DM. The relationships of class , family , species , and species with T2DM were also significant according to the IVW results (all < 0.05).
GM had a potential causal association with T2DM, especially species , , and . Further studies are still needed to clarify certain results that are contradictory with previous findings.
孟德尔随机化(MR)分析已被用于探索肠道微生物群(GM)在 2 型糖尿病(T2DM)中的作用;然而,它仅限于属水平。本研究旨在调查 GM,特别是在物种水平上,与 T2DM 的关系,为进一步探索 T2DM 中更具体的 GM 分类群和途径丰度提供一些证据。
本两样本 MR 研究基于 MiBioGen 联盟进行的全基因组关联研究(GWAS)荟萃分析以及荷兰微生物组计划(DMP)中可用的 GM 汇总统计数据,而 T2DM 的汇总统计数据则来自 FinnGen 联盟发布的数据。使用逆方差加权(IVW)、MR-Egger、强度检验()和加权中位数方法来检验 GM 与 T2DM 发病之间的因果关系。Cochran's 统计量用于量化工具变量的异质性。Bonferroni 校正用于校正多重检验的偏差。我们还进行了反向因果关系分析。
经校正的 IVW 估计表明,家族(OR=1.0704)和属(OR=1.0874)的相对丰度增加分别与 T2DM 的发病几率升高相关,而物种(OR=0.9460)的相对丰度与 T2DM 呈负相关。根据 IVW 结果,类、家族、物种和物种与 T2DM 的关系也具有统计学意义(均<0.05)。
GM 与 T2DM 之间存在潜在的因果关系,特别是物种、、和。需要进一步的研究来阐明与先前发现相矛盾的某些结果。