Zhou Jie, Yin Jiekai, Xu Yixin, Wang Haitao
Department of General Surgery, The Wujin Hospital Affiliated with Jiangsu University, Changzhou, China.
Department of General Surgery, The Wujin Clinical College of Xuzhou Medical University, Changzhou, China.
Medicine (Baltimore). 2024 Nov 22;103(47):e40627. doi: 10.1097/MD.0000000000040627.
Miscarriage represents a prevalent yet insufficiently studied adverse pregnancy outcome. The definitive causal links between various pathogens and miscarriage remain to be established. To investigate the causal connections between pathogen infections and miscarriage, we utilized a two-sample bidirectional Mendelian randomization (MR) analysis. We sourced genome-wide association studies data on pathogen infections from the UK Biobank, which included serological markers for infectious diseases and comprehensive whole-genome genetic information from approximately 10,000 individuals. Additionally, genome-wide association studies data on miscarriages were collected from 3 distinct European populations for our analysis. The MR analysis was primarily conducted using the inverse variance weighted method, complemented by Bayesian weighted MR and the weighted median method for robustness. To ensure the reliability of our findings, we performed heterogeneity and pleiotropy tests, leave-one-out sensitivity analyses, and a meta-analysis. Our extensive research has identified a causal association between miscarriage and infections by several human herpesviruses (HHV-1, HHV-3, HHV-4, HHV-6, and HHV-7), polyomaviruses (BK, JC, and Merkel cell polyomaviruses), and Chlamydia trachomatis (inverse variance weighted, P < .05). Notably, a meta-analysis of the integrated data highlighted the particularly high accuracy and consistency of the association with Merkel cell polyomavirus. Our MR analysis has clarified the causal relationships between specific pathogen infections and miscarriage, providing a critical foundation for the prevention and treatment of this adverse pregnancy outcome.
流产是一种常见但研究尚不充分的不良妊娠结局。各种病原体与流产之间的明确因果关系仍有待确定。为了研究病原体感染与流产之间的因果联系,我们采用了两样本双向孟德尔随机化(MR)分析。我们从英国生物银行获取了关于病原体感染的全基因组关联研究数据,其中包括传染病的血清学标志物以及来自约10,000人的全面全基因组遗传信息。此外,我们收集了来自3个不同欧洲人群的关于流产的全基因组关联研究数据用于分析。MR分析主要采用逆方差加权法进行,并辅以贝叶斯加权MR和加权中位数法以确保稳健性。为了确保我们研究结果的可靠性,我们进行了异质性和多效性检验、留一法敏感性分析以及荟萃分析。我们广泛的研究已经确定了流产与几种人类疱疹病毒(HHV-1、HHV-3、HHV-4、HHV-6和HHV-7)、多瘤病毒(BK、JC和默克尔细胞多瘤病毒)以及沙眼衣原体感染之间的因果关联(逆方差加权,P<0.05)。值得注意的是,对整合数据的荟萃分析突出了与默克尔细胞多瘤病毒关联的特别高的准确性和一致性。我们的MR分析阐明了特定病原体感染与流产之间的因果关系,为预防和治疗这种不良妊娠结局提供了关键基础。