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Unveiling immune tolerance pathways in preeclampsia placenta: implications for molecular targets and discovery of potential biomarkers

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机构： [1]Institute of Biomedical Engineering, Kunming Medical University, Kunming, China. [2]Kunming Medical University, Kunming, China. [3]Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming, China. [4]Clinical Medical Research Center for Obstetrics and Gynecology (Yunnan Joint Key Laboratory), Kunming City of Maternal and Child Health Hospital, Kunming City of Women and Children, Kunming, China.

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关键词： preeclampsia placenta bioinformatics immunology diagnostic markers

摘要：

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.Copyright © 2024 Ma, Deng, Shen, Zhang and Qian.

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最新[2023]版：

大类 | 2 区医学

小类 | 2 区内分泌学与代谢

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出版当年[2024]版：

无

最新[2023]版：

Q2 ENDOCRINOLOGY & METABOLISM

影响因子： 3.9 最新[2023版] 4.9 最新五年平均 0 出版当年[2024版] 0 出版当年五年平均 3.9 出版前一年[2023版]

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第一作者机构： [1]Institute of Biomedical Engineering, Kunming Medical University, Kunming, China. [2]Kunming Medical University, Kunming, China.

通讯作者：

通讯机构： [2]Kunming Medical University, Kunming, China. [3]Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming, China. [4]Clinical Medical Research Center for Obstetrics and Gynecology (Yunnan Joint Key Laboratory), Kunming City of Maternal and Child Health Hospital, Kunming City of Women and Children, Kunming, China.

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