Bioinformatics analysis combined with clinical sample screening reveals that leptin may be a biomarker of preeclampsia

• DOI: 10.3389/fphys.2022.1031950
• Publication Date: 2023-01-04T19:19:08Z
• Authors: Yajuan Wang; Xuening Bai; Xin Guo; Xiaoli Gao; Yuanyuan Chen; Huanrong Li; Wenjun Fan; Cha Han
• Keywords: Biomarker Discovery

Introduction: Preeclampsia (PE) is a gestational hypertensive disease with unclear pathogenesis. This study aimed to identify the genes that play an important role in determining pathogenesis of PE using bioinformatics analysis and fundamental researches. Materials methods: Datasets from Gene Expression Omnibus (GEO) database were used screen for differentially expressed (DEGs). The NCBI, SangerBox, other databases analyze functions DEGs. Targetscan7, miRWalk, ENCORI, DIANA TOOLS, CircBank databases, Cytoscape tool construct lncRNA/circRNA-miRNA- LEP network. SRAMP, RPISeq, RBPsuite, catRPAID RNA modifications LEP. Immune cell infiltration was analyzed dataset GSE75010. Placental tissues normal pregnant women patients collected, screened gene expression reverse transcription quantitative polymerase chain reaction (RT-qPCR) western blotting. results further verified HTR-8/SVneo line hypoxia model mouse model. Results: Our analyses revealed significantly upregulated eight datasets. Kyoto Encyclopedia Genes Genomes (KEGG) Ontology (GO) indicated involved JAK/STAT signaling pathway, angiogenesis, placental development. showed M1 M2 macrophages differed between pregnancies those patients. A competing endogenous (ceRNA) network constructed, proteins interacting identified. modification sites also Finally, overexpression confirmed clinical samples, Conclusion: indicate associated may be potential diagnostic marker therapeutic target.