Unveiling Immune Tolerance Pathways in Preeclampsia Placenta: Implications for Molecular Targets and Discovery of Potential Biomarkers

Overview

Journal Front Endocrinol (Lausanne)

Specialty Endocrinology

Date 2024 Jun 19

PMID 38894741

Authors

Yantuanjin Ma

Xingli Deng

Ru Shen

Hongqing Zhang

Yuan Qian

Affiliations

Soon will be listed here.

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.

Citing Articles

Evaluation of placental growth factor, Vitamin D, and systemic inflammatory index as predictive biomarkers for preeclampsia severity: a retrospective cohort study.

Han X, Yang H BMC Pregnancy Childbirth. 2025; 25(1):75.

PMID: 39871211 PMC: 11771059. DOI: 10.1186/s12884-025-07187-x.

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