biostudies-literatureUnknown101(29)Zhang MPreeclampsia is a hypertensive disorder of pregnancy that can lead to multiorgan complications in the mother and fetus. Our study aims to uncover the underlying mechanisms and hub genes between genomic subgroups of preeclampsia. A total of 180 preeclampsia cases from 4 gene profiles were classified into 3 subgroups. Weighted gene coexpression analysis was performed to uncover the genomic characteristics associated with different clinical features. Functional annotation was executed within the significant modules and hub genes were predicted using Cytoscape software. Subsequently, miRNet analysis was performed to identify potential miRNA-mRNA networks. Three key subgroup-specific modules were identified. Patients in subgroup II were found to develop more severe preeclampsia symptoms. SubgroMedicinee29569https://www.ebi.ac.uk/biostudies/studies/S-EPMC9302342biostudies-literatureIdentification of underlying mechanisms and hub gene-miRNA networks of the genomic subgroups in preeclampsia development.PMC9302342Jiang ZGe ZZhang MDeng XfalseIdentification of underlying mechanisms and hub gene-miRNA networks of the genomic subgroups in preeclampsia development.Preeclampsia is a hypertensive disorder of pregnancy that can lead to multiorgan complications in the mother and fetus. Our study aims to uncover the underlying mechanisms and hub genes between genomic subgroups of preeclampsia. A total of 180 preeclampsia cases from 4 gene profiles were classified into 3 subgroups. Weighted gene coexpression analysis was performed to uncover the genomic characteristics associated with different clinical features. Functional annotation was executed within the significant modules and hub genes were predicted using Cytoscape software. Subsequently, miRNet analysis was performed to identify potential miRNA-mRNA networks. Three key subgroup-specific modules were identified. Patients in subgroup II were found to develop more severe preeclampsia symptoms. Subgro2022-01-01T00:00:00Z2022 Jul2026-06-01T02:17:32.29Z2025-04-05T12:11:13.31ZS-EPMC93023423586682710.1097/MD.0000000000029569