早发型子痫前期中铁死亡基因的生物信息学分析

Bioinformatics Analysis and Validation of Ferroptosis in Early-Onset of Preeclampsia

目的:通过对早发型子痫前期(EOPE)铁死亡相关基因进行生物信息学分析,以期为后续的铁死亡机制研究提供理论基础及新思路。方法:于GEO数据库中选择EOPE患者胎盘组织差异表达基因数据集GSE148241,GEO2R软件处理后并将其与铁死亡数据库基因取交集,得到EOPE铁死亡相关基因合集,对其进行生物信息学分析;利用STRING网站及Cytoscape软件构建PPI互作网络并分析得出其关键基因(Hub基因)。结果:共筛选出EOPE差异表达基因916个,与铁死亡数据库基因进行交集后,获得28个与EOPE相关的铁死亡基因。GO功能富集分析结果显示其主要富集于细胞对化学刺激的反应、细胞对缺氧的反应等10个细胞成分;参与内质网、细胞外空间等10个生物学过程;显著富集于酶结合、受体结合等10个分子功能。KEGG信号通路富集分析显示其主要富集于HIF-1信号通路。通过STRING网站构建PPI互作网络后,采用Cytoscape软件,分析得出的Hub基因分别为TLR4、CYBB、PPARG及PTGS2。结论:对早发型子痫前期铁死亡进行生物信息学分析得出的关键基因可作为子痫前期铁死亡发病潜在的致病基因值得深入研究。

Objective:To provide a theoretical basis and new ideas for the subsequent study of ferroptosis mechanism through bioinformatics analysis of ferroptosis-related genes in early-onset preeclampsia(EOPE).Methods:The differentially expressed gene dataset GSE148241 of placental tissues of EOPE patients was selected from the GEO database,processed by the GEO2R software and intersected with genes from the ferroptosis database to obtain the ensemble of EOPE ferroptosis-related genes,which was analyzed by bioinformatics.The PPI interoperability network was constructed by using the STRING website and Cytoscape software,and analyzed to obtain its key genes(Hub genes).Results:A total of 916 EOPE differentially expressed genes were screened out,and 28 EOPE-related ferroptosis genes were obtained after intersection with the ferroptosis database genes.The results of GO functional enrichment analysis showed that it was mainly enriched in 10 cellular components,such as cellular response to chemical stimuli,cellular response to hypoxia,and involved in 10 biological processes,such as endoplasmic reticulum and extracellular space,and significantly enriched in 10 biological processes,such as enzyme binding,receptor binding,and so on.KEGG signaling pathway enrichment analysis showed that KEGG was mainly enriched in HIF-1 signaling pathway.After constructing the PPI interaction network through STRING website,the Hub genes analyzed by Cytoscape software were TLR4,CYBB,PPARG,and PTGS2.Conclusion:The key genes derived from the bioinformatics analysis of ferroptosis in premature preeclampsia may be worthy of in-depth study as potential causative genes for the development of ferroptosis in preeclampsia.