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综合分析多个微阵列研究,以鉴定子痫前期的新基因特征。

Integrated analysis of multiple microarray studies to identify novel gene signatures in preeclampsia.

机构信息

Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.

Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.

出版信息

Placenta. 2021 Feb;105:104-118. doi: 10.1016/j.placenta.2021.01.023. Epub 2021 Feb 2.

DOI:10.1016/j.placenta.2021.01.023
PMID:33571845
Abstract

INTRODUCTION

Preeclampsia (PE) is one of the major causes of maternal and fetal morbidity and mortality in pregnancy worldwide. However, the intrinsic molecular mechanisms underlying the pathogenesis of PE have not yet been fully elucidated.

METHODS

Robust rank aggregation (RRA), weighted correlation network analysis (WGCNA) and protein-protein interaction (PPI) methods were used to identify robust differentially expressed genes (DEGs) and hub genes in preeclampsia and subgroups based on 10 Gene Expression Omnibus (GEO) datasets. Subsequently, enrichment analysis and correlation analysis were performed to explore the potential function of the robust DEGs and hub genes. The diagnostic role of hub genes was further investigated by GSE12767. The miRNA regulators and the effect of hypoxia on hub genes were explored by using GSE84260 and GSE65271, respectively.

RESULTS

Robust DEGs were identified in each subgroup including preeclampsia. Totally, 24 hub genes enriched in inflammatory response, renin-angiotensin system and JAK-STAT pathway, and 24 related miRNA regulators were identified.

DISCUSSION

Our integrated analysis identified novel gene signatures in preeclampsia and subgroups and will contribute to the understanding of comprehensive molecular changes in preeclampsia.

摘要

简介

子痫前期 (PE) 是全球妊娠期间导致母婴发病率和死亡率的主要原因之一。然而,PE 发病机制的内在分子机制尚未完全阐明。

方法

使用稳健秩聚合(RRA)、加权相关网络分析(WGCNA)和蛋白质-蛋白质相互作用(PPI)方法,基于 10 个基因表达综合数据库(GEO)数据集,鉴定子痫前期和亚组中稳健差异表达基因(DEGs)和枢纽基因。然后,进行富集分析和相关性分析,以探讨稳健 DEGs 和枢纽基因的潜在功能。通过 GSE12767 进一步研究了枢纽基因的诊断作用。通过 GSE84260 和 GSE65271 分别探讨了 miRNA 调节剂和缺氧对枢纽基因的影响。

结果

在子痫前期的每个亚组中都鉴定到了稳健的 DEGs。总共鉴定到 24 个枢纽基因,它们富集在炎症反应、肾素-血管紧张素系统和 JAK-STAT 通路中,并且鉴定到 24 个相关的 miRNA 调节剂。

讨论

我们的综合分析鉴定到了子痫前期和亚组中的新型基因特征,将有助于理解子痫前期的全面分子变化。

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