PDF(Pubmed)
Abstract：
During pregnancy, there is a link between disruption of maternal immune tolerance and preeclampsia, but the molecular mechanisms that regulate maternal and fetal immune tolerance remain unclear. This study employs bioinformatics to identify new markers related to placental immune tolerance and explore their potential role in predicting preeclampsia. Analyzing preeclampsia-related gene expression profiles in the Gene Expression Omnibus (GEO) dataset reveals 211 differentially expressed genes (DEGs) in the placenta, mainly influencing immune cell differentiation and response pathways. Employing weighted gene co-expression network analysis (WGCNA) and lasso regression, four potential target genes (ANKRD37, CRH, LEP, SIGLEC6) are identified for potential prediction of preeclampsia. Validation using the GSE4707 dataset confirmed the diagnostic and predictive potential of these candidate genes. RT-qPCR verified up-regulation in the placenta, while ELISA showed their correlation with immune tolerance factors associated with placental immune tolerance. As a result of this study, identifies potential biomarkers associated with placental immunity and contributes to understanding the molecular mechanism of preeclampsia.
摘要：
在怀孕期间,母体免疫耐受的破坏和先兆子痫之间存在联系，但是调节母体和胎儿免疫耐受的分子机制仍不清楚。本研究利用生物信息学鉴定与胎盘免疫耐受相关的新标志物，并探讨其在预测先兆子痫中的潜在作用。在基因表达综合（GEO）数据集中分析先兆子痫相关基因表达谱揭示了胎盘中211个差异表达基因（DEGs），主要影响免疫细胞的分化和应答途径。采用加权基因共表达网络分析(WGCNA)和套索回归，四个潜在的靶基因(ANKRD37，CRH，LEP,SIGLEC6）被鉴定用于先兆子痫的潜在预测。使用GSE4707数据集的验证证实了这些候选基因的诊断和预测潜力。RT-qPCR验证了胎盘的上调，而ELISA显示其与胎盘免疫耐受相关的免疫耐受因子的相关性。作为这项研究的结果，识别与胎盘免疫相关的潜在生物标志物，并有助于理解先兆子痫的分子机制。
