biostudies-literatureUnknown16Wang Q<h4>Background</h4>Early-onset preeclampsia (EOPE) is a severe form of preeclampsia that mainly contributes to maternal and perinatal morbidity and mortality worldwide. This study aimed to systematically analyze the expression and function of ferroptosis-related gene HILPDA in EOPE placentas.<h4>Methods</h4>We included five transcriptomic datasets (GSE148241, GSE44711, GSE74341, GSE114691, GSE10588) downloaded from the Gene Expression Omnibus (GEO) in this study. Using differential expression analysis, weighted gene co-expression network analysis (WGCNA), and machine learning models (LASSO, SVM-RFE, Random Forest), We identified hub genes and diagnostic biomarkers. We performed functional enrichment (GO and KEGG) and immune infiltration analysis to elucidate molecular mechanisms. ExperimenFrontiers in immunology1627057https://www.ebi.ac.uk/biostudies/studies/S-EPMC12375643biostudies-literatureIdentification and validation of expression and functions of ferroptosis-related gene HILPDA in early-onset preeclampsia placentas.PMC12375643Li XWang QDing BDu DTao YYang NJiang CWang XChen HFei JDou CfalseIdentification and validation of expression and functions of ferroptosis-related gene HILPDA in early-onset preeclampsia placentas.<h4>Background</h4>Early-onset preeclampsia (EOPE) is a severe form of preeclampsia that mainly contributes to maternal and perinatal morbidity and mortality worldwide. This study aimed to systematically analyze the expression and function of ferroptosis-related gene HILPDA in EOPE placentas.<h4>Methods</h4>We included five transcriptomic datasets (GSE148241, GSE44711, GSE74341, GSE114691, GSE10588) downloaded from the Gene Expression Omnibus (GEO) in this study. Using differential expression analysis, weighted gene co-expression network analysis (WGCNA), and machine learning models (LASSO, SVM-RFE, Random Forest), We identified hub genes and diagnostic biomarkers. We performed functional enrichment (GO and KEGG) and immune infiltration analysis to elucidate molecular mechanisms. Experimen2025-01-01T00:00:00Z20252026-07-15T12:47:17.102Z2026-07-04T03:16:00.908ZS-EPMC123756434086143810.3389/fimmu.2025.1627057