血浆代谢物介导的肠道微生物群与 2 型糖尿病之间的遗传关系:孟德尔随机研究

XuWen Zheng, MaoBing Chen, Zhuang Yi, Liang Zhao, YongJun Qian, Jin Xu, JinNuo Fan
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摘要

大量研究表明,2 型糖尿病(T2DM)与肠道微生物群之间可能存在关联。为了探索连接肠道微生物群和 T2DM 的特定代谢途径,我们采用了孟德尔随机化(MR)和连锁不平衡评分回归(LDSC)技术。我们利用 LDSC 评估了肠道微生物群与 T2DM 之间的遗传相关性。因果关系主要通过反方差加权法(IVW)确定。为了验证结果的稳健性,我们采用了多种方法进行了敏感性分析,包括加权中位数、MR-Egger 和 MR-PRESSO。我们将 LDSC 以及正向和反向 MR 的汇总效应估计值整合到使用各种数据源进行的 T2DM 的荟萃分析中。我们的研究表明,RuminococcaceaeUCG005属(Rg = -0.26,Rg_P = 2.07×10-4)与T2DM之间存在显著的遗传相关性。此外,前向磁共振分析发现,反刍球菌属UCG010(OR = 0.857,95% CI 0.795,0.924;P = 6.33×10-5)和梭状芽孢杆菌目(OR = 0.936,95% CI 0.878,0.997;P = 0.039)与 T2DM 风险降低显著相关。研究结果表明,肠道微生物群通过血浆代谢物对 T2DM 有显著影响,这为靶向治疗提供了潜在的代谢途径。这项研究加深了我们对微生物群在 T2DM 发病机制中作用的了解,并为开发基于微生物群的干预措施提供了支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic associations between gut microbiota and type 2 diabetes mediated by plasma metabolites: a Mendelian randomization study
Numerous research studies have indicated a possible association between type 2 diabetes (T2DM) and gut microbiota. To explore specific metabolic pathways connecting gut microbiota and T2DM, we employed Mendelian randomization (MR) and linkage disequilibrium score regression (LDSC) techniques.This research utilized data from genome-wide association studies (GWAS) that are publicly accessible. We evaluated the genetic correlation between gut microbiota and T2DM using LDSC. Causality was primarily determined through the inverse variance weighted (IVW) method. To verify the robustness of our results, we conducted sensitivity analyses using several approaches, including the weighted median, MR-Egger, and MR-PRESSO. We integrated summary effect estimates from LDSC, along with forward and reverse MR, into a meta-analysis for T2DM using various data sources. Additionally, mediation analysis was performed to explore the impact of plasma metabolites on the relationship between gut microbiota and T2DM.Our study indicated a significant genetic correlation between genus RuminococcaceaeUCG005 (Rg = −0.26, Rg_P = 2.07×10−4) and T2DM. Moreover, the forward MR analysis identified genus RuminococcaceaeUCG010 (OR = 0.857, 95% CI 0.795, 0.924; P = 6.33×10−5) and order Clostridiales (OR = 0.936, 95% CI 0.878, 0.997; P = 0.039) as being significantly associated with a decreased risk of T2DM. The analysis also highlighted several plasma metabolites as significant mediators in these relationships, with metabolites like octadecadienedioate (C18:2-DC) and branched chain 14:0 dicarboxylic acid being notably involved.The findings demonstrate a significant impact of gut microbiota on T2DM via plasma metabolites, suggesting potential metabolic pathways for therapeutic targeting. This study enhances our understanding of the microbiota’s role in T2DM pathogenesis and supports the development of microbiota-based interventions.
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