Shi X, Xie X, Jia Y, Li S
Division of Reproductive Medical Center, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
Key Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
Clin Genet. 2017 Feb;91(2):265-284. doi: 10.1111/cge.12910. Epub 2016 Nov 30.
The roles of genetic polymorphisms in the pathogenesis of recurrent miscarriage (RM) have been intensively studied. However, the results of these studies were inconsistent, especially when conducted in different populations. Therefore, we performed the current study to systematically review the broad spectrum of genetic polymorphisms that were suspected to be involved in RM, and discussed potential genetic biomarkers of RM. Eligible articles were identified in PubMed, Medline, Embase and CNKI. Odd ratios (ORs) and 95% confidence intervals (CIs) were used to describe the strength of association, and a probability value (p value) of 0.05 or less was considered as statistically significant. A total of 425 eligible articles were included in this systematic review and 369 articles evaluating 124 polymorphisms of 73 genes were meta-analyzed. Significant associations were found between RM and 53 genetic polymorphisms of 37 genes. Our findings suggest that genetic variants of HLA-G, IFNG, TNF, IL-6, IL-10, FII, FV, FXIII, ITGB3, MTR, MTHFR, PAI-1, NOS3, KDR, TP53, VEGFA, CYP17, CYP1A1, CYP2D6, ANXA5, and XCI may serve as biological markers of RM. This study indicates that over-active immunological responses, thrombophilia, abnormal placental function, and disturbance of metabolic regulation may be implicated in the pathogenesis of RM.
基因多态性在复发性流产(RM)发病机制中的作用已得到深入研究。然而,这些研究结果并不一致,尤其是在不同人群中进行的研究。因此,我们开展了本研究,以系统回顾疑似与RM有关的广泛基因多态性,并探讨RM潜在的基因生物标志物。在PubMed、Medline、Embase和中国知网中检索符合条件的文章。采用比值比(OR)和95%置信区间(CI)来描述关联强度,概率值(p值)小于或等于0.05被认为具有统计学意义。本系统评价共纳入425篇符合条件的文章,对评估73个基因的124个多态性的369篇文章进行了荟萃分析。发现RM与37个基因的53个基因多态性之间存在显著关联。我们的研究结果表明,HLA-G、IFNG、TNF、IL-6、IL-10、FII、FV、FXIII、ITGB3、MTR、MTHFR、PAI-1、NOS3、KDR、TP53、VEGFA、CYP17、CYP1A1、CYP2D6、ANXA5和XCI的基因变异可能作为RM的生物标志物。本研究表明,免疫反应过度活跃、血栓形成倾向、胎盘功能异常和代谢调节紊乱可能与RM的发病机制有关。