Elucidating Causal Relationships Among Gut Microbiota, Human Blood Metabolites, and Knee Osteoarthritis: Evidence from a Two-Stage Mendelian Randomization Analysis.

Zhen Wang, Chi Zhao, Zheng Wang, Mengmeng Li, Lili Zhang, Jieyao Diao, Juntao Chen, Lijuan Zhang, Yu Wang, Miaoxiu Li, Yunfeng Zhou, Hui Xu
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Abstract

Background: Although previous observational studies suggest a potential association between gut microbiota (GM) and knee osteoarthritis (KOA), the causal relationships remain unclear, particularly concerning the role of blood metabolites (BMs) as potential mediators. Elucidating these interactions is crucial for understanding the mechanisms underlying KOA progression and may inform the development of novel therapeutic strategies. Objective: This study aimed to determine the causal relationship between GM and KOA and to quantify the potential mediating role of BMs. Methods: Instrumental variables (IVs) for GM and BMs were retrieved from the MiBioGen consortium and metabolomics genome-wide association studies (GWAS) databases. KOA-associated single-nucleotide polymorphisms were sourced from the FinnGen consortium. Inverse-variance weighted approach was utilized as the main analytical method for Mendelian randomization (MR) analysis, complemented by MR-Egger, simple mode, weighted mode, and weighted median methods. The causal relationships between GM, BMs, and KOA were sequentially analyzed by multivariate MR. False discovery rate correction was applied to account for multiple comparisons in the MR results. Sensitivity analyses and reverse MR analysis were also conducted to verify the reliability of the findings. Finally, a two-step approach was employed to determine the proportion of BMs mediating the effects of GM on KOA. Results: MR analysis identified seven gut microbial species that are causally associated with KOA. Additionally, MR analysis of 1091 BMs and 309 metabolite ratios revealed 13 metabolites that influence the risk of KOA. Through two-step analysis, three BMs were identified as mediators of the effects of two GMs on KOA. Among them, 6-hydroxyindole sulfate exhibited the highest mediation percentage (10.26%), followed by N-formylanthranilic acid (6.55%). Sensitivity and reverse causality analyses further supported the robustness of these findings. Conclusion: This research identified specific GMs and BMs that have a causal association with KOA. These findings provide critical insights into how GM may influence KOA risk by modulating specific metabolites, which could be valuable for the targeted treatment and prevention of KOA.

阐明肠道微生物群、人体血液代谢物和膝关节骨关节炎之间的因果关系:来自两阶段孟德尔随机分析的证据。
背景:虽然以前的观察性研究表明肠道微生物群(GM)和膝关节骨关节炎(KOA)之间存在潜在的关联,但因果关系尚不清楚,特别是关于血液代谢物(BMs)作为潜在介质的作用。阐明这些相互作用对于理解KOA进展的机制至关重要,并可能为开发新的治疗策略提供信息。目的:本研究旨在确定GM与KOA之间的因果关系,并量化脑转移瘤的潜在介导作用。方法:从MiBioGen联盟和代谢组学全基因组关联研究(GWAS)数据库中检索GM和BMs的工具变量(IVs)。koa相关的单核苷酸多态性来源于FinnGen联盟。孟德尔随机化(MR)分析以反方差加权法为主,辅以MR- egger、简单模式、加权模式和加权中位数法。通过多变量MR对GM、BMs和KOA之间的因果关系进行了顺序分析,错误发现率校正用于解释MR结果中的多次比较。敏感性分析和反向磁共振分析也进行了验证结果的可靠性。最后,采用两步法确定了介导转基因对KOA影响的脑转移因子的比例。结果:MR分析鉴定出7种与KOA有因果关系的肠道微生物。此外,对1091例脑转移和309例代谢物比率的MR分析显示,13种代谢物影响KOA的风险。通过两步分析,确定了三种脑转移因子是两种gm对KOA影响的中介因子。其中,6-羟基吲哚硫酸盐的调解率最高(10.26%),n -甲氨基苯甲酸次之(6.55%)。敏感性和反向因果分析进一步支持了这些发现的稳健性。结论:本研究确定了与KOA有因果关系的特异性GMs和BMs。这些发现为转基因如何通过调节特定代谢物影响KOA风险提供了重要见解,这可能对KOA的靶向治疗和预防有价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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