Ding Hui, Gao Yajie, Gao Yuan, Chen Yulu, Liu Ruimin, Wang Caili, Gao Yuqing
Department of Reproductive Medicine Center, Zhoukou Central Hospital, Zhoukou, China.
Sci Rep. 2025 Jul 15;15(1):25460. doi: 10.1038/s41598-025-10604-y.
Recurrent pregnancy loss (RPL), which affects approximately 2.5% of reproductive-aged women, remains idiopathic in more than 50% of cases, necessitating mechanistic insights and biomarkers. Three RPL decidual tissue transcriptomic datasets (GSE113790, GSE161969, and GSE178535) were integrated for differential expression, weighted gene co-expression network analysis (WGCNA), and functional enrichment analyses. Machine learning (LASSO, SVM-RFE, RF) identified optimal feature genes, which were validated via real-time quantitative polymerase chain reaction (RT-qPCR) and immunohistochemistry (IHC). Immune infiltration was assessed using single-sample gene set enrichment analysis(ssGSEA). In vitro experiments evaluated the role of Complement Factor H-Related Protein 1 (CFHR1) in decidualization and the complement/coagulation pathways. Ten key genes were identified, with CFHR1 emerging as the optimal biomarker. CFHR1 overexpression correlated with complement/coagulation dysregulation and impaired decidualization. Immune profiling demonstrated increased numbers of macrophages and γδ T cells in RPL decidua, with macrophage levels showing a significant positive correlation with CFHR1(r = 0.64, p < 0.01). ROC analysis demonstrated the diagnostic efficacy of CFHR1 (AUC = 0.950). CFHR1drives RPL pathogenesis through complement/coagulation activation and immunemicroenvironment remodeling. Its role as a multifunctional mediator highlights itstherapeutic potential, suggesting novel targets for clinical intervention.
复发性流产(RPL)影响着约2.5%的育龄妇女,在超过50%的病例中仍病因不明,因此需要深入了解其发病机制并寻找生物标志物。整合了三个RPL蜕膜组织转录组数据集(GSE113790、GSE161969和GSE178535)进行差异表达分析、加权基因共表达网络分析(WGCNA)和功能富集分析。机器学习(LASSO、SVM - RFE、RF)确定了最佳特征基因,并通过实时定量聚合酶链反应(RT - qPCR)和免疫组织化学(IHC)进行验证。使用单样本基因集富集分析(ssGSEA)评估免疫浸润情况。体外实验评估了补体因子H相关蛋白1(CFHR1)在蜕膜化以及补体/凝血途径中的作用。确定了10个关键基因,其中CFHR1成为最佳生物标志物。CFHR1过表达与补体/凝血失调和蜕膜化受损相关。免疫图谱显示RPL蜕膜中巨噬细胞和γδ T细胞数量增加,巨噬细胞水平与CFHR1呈显著正相关(r = 0.64,p < 0.01)。ROC分析证明了CFHR1的诊断效能(AUC = 0.950)。CFHR1通过补体/凝血激活和免疫微环境重塑驱动RPL发病机制。其作为多功能介质的作用突出了其治疗潜力,为临床干预提供了新的靶点。