New Insight Into Mechanisms of Hepatic Encephalopathy: An Integrative Analysis Approach to Identify Molecular Markers and Therapeutic Targets.

IF 2.3 Q3 BIOCHEMICAL RESEARCH METHODS
Bioinformatics and Biology Insights Pub Date : 2023-02-17 eCollection Date: 2023-01-01 DOI:10.1177/11779322231155068
Ali Sepehrinezhad, Ali Shahbazi, Sajad Sahab Negah, Fin Stolze Larsen
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Abstract

Hepatic encephalopathy (HE) is a set of complex neurological complications that arise from advanced liver disease. The precise molecular and cellular mechanism of HE is not fully understood. Differentially expressed genes (DEGs) from microarray technologies are powerful approaches to obtain new insight into the pathophysiology of HE. We analyzed microarray data sets of cirrhotic patients with HE from Gene Expression Omnibus to identify DEGs in postmortem cerebral tissues. Consequently, we uploaded significant DEGs into the STRING to specify protein-protein interactions. Cytoscape was used to reconstruct the genetic network and identify hub genes. Target genes were uploaded to different databases to perform comprehensive enrichment analysis and repurpose new therapeutic options for HE. A total of 457 DEGs were identified in 2 data sets totally from 12 cirrhotic patients with HE compared with 12 healthy subjects. We found that 274 genes were upregulated and 183 genes were downregulated. Network analyses on significant DEGs indicated 12 hub genes associated with HE. Enrichment analysis identified fatty acid beta-oxidation, cerebral organic acidurias, and regulation of actin cytoskeleton as main involved pathways associated with upregulated genes; serotonin receptor 2 and ELK-SRF/GATA4 signaling, GPCRs, class A rhodopsin-like, and p38 MAPK signaling pathway were related to downregulated genes. Finally, we predicted 39 probable effective drugs/agents for HE. This study not only confirms main important involved mechanisms of HE but also reveals some yet unknown activated molecular and cellular pathways in human HE. In addition, new targets were identified that could be of value in the future study of HE.

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肝性脑病机制的新见解:确定分子标记物和治疗靶点的综合分析方法
肝性脑病(HE)是晚期肝病引起的一系列复杂的神经系统并发症。肝性脑病的确切分子和细胞机制尚不完全清楚。微阵列技术中的差异表达基因(DEGs)是深入了解肝性脑病病理生理学的有力方法。我们分析了基因表达总库(Gene Expression Omnibus)中肝硬化 HE 患者的微阵列数据集,以确定死后脑组织中的 DEGs。因此,我们将重要的 DEGs 上传到 STRING,以明确蛋白质与蛋白质之间的相互作用。Cytoscape用于重建遗传网络和识别中心基因。目标基因被上传到不同的数据库,以进行全面的富集分析,并重新为 HE 提供新的治疗方案。在两组数据中,共鉴定出457个DEGs,这两组数据分别来自12名肝硬化患者和12名健康人。我们发现有 274 个基因上调,183 个基因下调。对重要 DEGs 的网络分析显示,有 12 个枢纽基因与 HE 相关。富集分析发现,脂肪酸β-氧化、脑有机酸和肌动蛋白细胞骨架调节是与上调基因相关的主要参与通路;5-羟色胺受体2和ELK-SRF/GATA4信号转导、GPCRs、A类视黄醛样蛋白和p38 MAPK信号转导通路与下调基因相关。最后,我们预测了 39 种可能有效的治疗 HE 的药物/制剂。这项研究不仅证实了 HE 的主要重要参与机制,还揭示了人类 HE 中一些尚不为人知的活化分子和细胞通路。此外,我们还发现了对未来 HE 研究有价值的新靶点。
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来源期刊
Bioinformatics and Biology Insights
Bioinformatics and Biology Insights BIOCHEMICAL RESEARCH METHODS-
CiteScore
6.80
自引率
1.70%
发文量
36
审稿时长
8 weeks
期刊介绍: Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap between theories and applications.
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