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通过生物信息学分析识别微小RNA和信使RNA的调控网络,以阐明中风的分子机制。

Identifying the regulatory network of microRNAs and mRNAs to clarify molecular mechanisms in stroke by bioinformatics analysis.

作者信息

Cen Gengyu, Xia Yumei, Liang Zhijian

机构信息

Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.

Department of Rehabilitation, Xichang People's Hospital, Xichang, Sichuan, China.

出版信息

Technol Health Care. 2024;32(5):2995-3006. doi: 10.3233/THC-231357.

Abstract

BACKGROUND

Stroke is one of the leading causes of disability and mortality worldwide.

OBJECTIVE

To identify the regulatory network of microRNAs (miRNAs) and mRNAs to clarify molecular mechanisms in stroke.

METHODS

Four miRNA datasets and two mRNA datasets of stroke were downloaded from the GEO database. R-Studio was utilized to analyze differentially expressed miRNAs (DEmiRNAs) and mRNAs (DEmRNAs) in the blood of stroke and control patients. FunRich software was utilized to conduct GO and biological pathway analysis on DEmiRNAs, and to search for transcription factors (TFs) of DEmiRNAs. Subsequently, we used miRDB, miRTarBase, and TargetScan to identify DEmiRNAs target genes and intersected with DEmRNAs to find common target genes. The miRNA-mRNA regulatory network of common target genes was constructed by using the Cytoscape. The biological and functional roles of target genes in the regulatory network were predicted using GO and KEGG pathway analyses.

RESULTS

464 DEmiRNAs and 329 DEmRNAs were screened. The top ten TFs (SP1, SP4, EGR1, TCF3, NKX6-1, ZFP161, RREB1, MEF2A, NFIC, POU2F1) were visualized. 16747 target genes of DEmiRNAs were predicted. Target genes were intersected with DEmRNAs, 107 common target genes and 162 DEmiRNAs regulating these common genes were obtained, and then a regulatory network was constructed. Target genes of the regulatory network were primarily enriched in VEGF signaling pathway, lipid and atherosclerosis, T cell receptor signaling pathway.

CONCLUSION

This study found that VEGF signaling pathway, lipid and atherosclerosis, T cell receptor signaling pathway are implicated in the biological process of stroke by constructing the regulatory network of miRNAs-mRNAs, which may have guide significance for the pathogenesis and treatment of stroke.

摘要

背景

中风是全球致残和致死的主要原因之一。

目的

识别微小RNA(miRNA)和信使核糖核酸(mRNA)的调控网络,以阐明中风的分子机制。

方法

从基因表达综合数据库(GEO数据库)下载四个中风的miRNA数据集和两个mRNA数据集。利用R-Studio分析中风患者和对照患者血液中差异表达的miRNA(DEmiRNA)和mRNA(DEmRNA)。使用FunRich软件对DEmiRNA进行基因本体(GO)和生物学通路分析,并搜索DEmiRNA的转录因子(TF)。随后,我们使用miRDB、miRTarBase和TargetScan来识别DEmiRNA的靶基因,并与DEmRNA进行比对以找到共同的靶基因。利用Cytoscape构建共同靶基因的miRNA-mRNA调控网络。使用GO和京都基因与基因组百科全书(KEGG)通路分析预测调控网络中靶基因的生物学和功能作用。

结果

筛选出464个DEmiRNA和329个DEmRNA。可视化了排名前十的TF(SP1、SP4、早期生长反应蛋白1、E2A转录因子3、NK6同源盒1、锌指蛋白161、RAS应答元件结合蛋白1、肌细胞增强因子2A、核因子I/C、POU结构域蛋白2F1)。预测了16747个DEmiRNA的靶基因。将靶基因与DEmRNA进行比对,获得107个共同靶基因和162个调控这些共同基因的DEmiRNA,然后构建了一个调控网络。调控网络的靶基因主要富集于血管内皮生长因子(VEGF)信号通路、脂质与动脉粥样硬化、T细胞受体信号通路。

结论

本研究通过构建miRNA-mRNA调控网络发现,VEGF信号通路、脂质与动脉粥样硬化、T细胞受体信号通路参与了中风的生物学过程,这可能对中风的发病机制和治疗具有指导意义。

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