Department of Medical Technology, Gannan Healthcare Vocational College, Ganzhou, China.
Department of Laboratory, GanZhou Cancer Hospital, Ganzhou, China.
Ren Fail. 2024 Dec;46(1):2349136. doi: 10.1080/0886022X.2024.2349136. Epub 2024 May 21.
Research has showcased a correlation between disruptions in gut microbiota and primary membranous nephropathy (pMN), giving rise to the concept of the 'gut-kidney axis'. However, the precise relationship between gut microbiota and pMN remains elusive. Hence, this study endeavors to investigate whether a causal relationship exists between gut microbiota and pMN utilizing Mendelian randomization (MR) analysis.
The primary method employed for MR analysis is the inverse variance weighting method, supplemented by MR-Egger and the weighted median method, to infer causality. This approach was validated within the pMN cohort across two distinct populations.
At the species level, the abundance of and was negatively correlated with the risk of pMN. Conversely, pMN was positively associated with abundance at the class level, abundance at the family level, and abundance at the genus level. Specifically, at the species level, pMN was positively correlated with the abundance of , , and
These findings lay the groundwork for future research exploring the interplay between pMN and the gut microbiota, with substantial implications for the prevention and treatment of pMN and its associated complications.
研究表明，肠道微生物群的紊乱与原发性膜性肾病（pMN）之间存在关联，从而产生了“肠-肾轴”的概念。然而，肠道微生物群与 pMN 的确切关系仍难以捉摸。因此，本研究利用孟德尔随机化（MR）分析来研究肠道微生物群与 pMN 之间是否存在因果关系。
MR 分析的主要方法是逆方差加权法，辅以 MR-Egger 和加权中位数法来推断因果关系。该方法在两个不同人群的 pMN 队列中进行了验证。
在物种水平上， 和 的丰度与 pMN 的风险呈负相关。相反，pMN 与类水平的 丰度、科水平的 丰度和属水平的 丰度呈正相关。具体而言，在物种水平上，pMN 与 、 和 的丰度呈正相关。
这些发现为未来探索 pMN 与肠道微生物群之间相互作用的研究奠定了基础，对 pMN 及其相关并发症的预防和治疗具有重要意义。
