Shen Chaodong, Fang Mengjie, Zhang Xiaolong, Zhu Zhirong, Chen Jiajian, Tang Guiliang
Department of Urology, Shaoxing People's Hospital, Shaoxing Hospital of Zhejiang University, Shaoxing, China.
Front Microbiol. 2024 Aug 23;15:1459634. doi: 10.3389/fmicb.2024.1459634. eCollection 2024.
Clinical observations indicate a correlation between the gut microbiota and overactive bladder (OAB) symptoms. Nevertheless, the causal relationship and mechanisms between gut microbiota and OAB symptoms remain elusive.
Two-sample Mendelian randomization (MR) analyses were performed to assess the association between gut microbiota and OAB symptoms, including urinary incontinence (UI). Data were obtained from the MiBioGen International Consortium genome-wide association studies (GWAS) dataset and the IEU GWAS database. The inverse variance weighted method was used as the primary approach in the MR analysis, with the weighted median, MR-Egger, and weighted mode methods as supplementary approaches. Sensitivity analyses were employed to assess potential violations of the MR assumptions.
Our analysis identified seven gut bacterial taxa with a causal relationship to OAB and nine gut bacterial taxa associated with UI. Genera , , and were identified as protective factors against OAB, while genera , , and were associated with an increased risk of OAB. A higher abundance of the genus , order Burkholderiales, and phylum Verrucomicrobia predicted a lower risk of UI. Conversely, the class Mollicutes, genus group, order Mollicutes RF9, and phylum Firmicutes and Tenericutes were positively correlated with UI risk. The sensitivity analysis excluded the influence of potential heterogeneity and horizontal pleiotropy.
This study revealed a causal relationship between gut microbiota and OAB symptoms, providing new insights and a theoretical foundation to identify biomarkers and therapeutic targets for patients with OAB symptoms.
临床观察表明肠道微生物群与膀胱过度活动症（OAB）症状之间存在关联。然而，肠道微生物群与OAB症状之间的因果关系和机制仍不清楚。
进行两样本孟德尔随机化（MR）分析，以评估肠道微生物群与OAB症状（包括尿失禁（UI））之间的关联。数据来自MiBioGen国际联盟全基因组关联研究（GWAS）数据集和IEU GWAS数据库。逆方差加权法用作MR分析的主要方法，加权中位数、MR-Egger法和加权模式法作为补充方法。采用敏感性分析来评估MR假设的潜在违反情况。
我们的分析确定了七种与OAB有因果关系的肠道细菌分类群和九种与UI相关的肠道细菌分类群。属、和被确定为OAB的保护因素，而属、、和与OAB风险增加相关。属、伯克霍尔德氏菌目和疣微菌门的丰度较高预示着UI风险较低。相反，柔膜菌纲、属组、柔膜菌目RF9和厚壁菌门及无壁菌门与UI风险呈正相关。敏感性分析排除了潜在异质性和水平多效性（基因多效性）的影响。
本研究揭示了肠道微生物群与OAB症状之间的因果关系，为识别OAB症状患者的生物标志物和治疗靶点提供了新的见解和理论基础。
