Suppr超能文献

系统水平分析和鉴定与谵妄相关的途径及关键基因。

Systems Level Analysis and Identification of Pathways and Key Genes Associated with Delirium.

机构信息

United Graduate School of Drug Discovery and Medical Information Sciences, Gifu University, 1-1, Yanagido, Gifu 501-1194, Japan.

Department of Adult Nursing (Acute phase), Gifu University School of Medicine, 1-1, Yanagido, Gifu 501-1193, Japan.

出版信息

Genes (Basel). 2020 Oct 19;11(10):1225. doi: 10.3390/genes11101225.

Abstract

Delirium is a complex pathophysiological process, and multiple contributing mechanisms have been identified. However, it is largely unclear how the genes associated with delirium contribute and which of them play key roles. In this study, the genes associated with delirium were retrieved from the Comparative Toxicogenomics Database (CTD) and integrated through a protein-protein interaction (PPI) network. Delirium-associated genes formed a highly interconnected PPI subnetwork, indicating a high tendency to interact and agglomerate. Using the Molecular Complex Detection (MCODE) algorithm, we identified the top two delirium-relevant network modules, M1 and M5, that have the most significant enrichments for the delirium-related gene sets. Functional enrichment analysis showed that genes related to neurotransmitter receptor activity were enriched in both modules. Moreover, analyses with genes located in human accelerated regions (HARs) provided evidence that HAR-Brain genes were overrepresented in the delirium-relevant network modules. We found that four of the HAR-Brain genes, namely APP, PLCB1, NPY, and HTR2A, in the M1 module were highly connected and appeared to exhibit hub properties, which might play vital roles in delirium development. Further understanding of the function of the identified modules and member genes could help to identify therapeutic intervention targets and diagnostic biomarkers for delirium.

摘要

谵妄是一种复杂的病理生理过程,已经确定了多种致病机制。然而,与谵妄相关的基因如何发挥作用,以及哪些基因发挥关键作用,在很大程度上仍不清楚。在这项研究中,从比较毒理学基因组数据库(CTD)中检索到与谵妄相关的基因,并通过蛋白质-蛋白质相互作用(PPI)网络进行整合。谵妄相关基因形成了一个高度相互关联的 PPI 子网络,表明它们具有很高的相互作用和聚集倾向。使用分子复合物检测(MCODE)算法,我们确定了两个与谵妄最相关的网络模块,M1 和 M5,它们对谵妄相关基因集的富集程度最高。功能富集分析表明,两个模块中都富集了与神经递质受体活性相关的基因。此外,对位于人类加速区(HARs)的基因进行分析的结果表明,HAR-Brain 基因在与谵妄相关的网络模块中过度表达。我们发现,M1 模块中四个 HAR-Brain 基因(即 APP、PLCB1、NPY 和 HTR2A)高度连接,似乎表现出枢纽特性,它们可能在谵妄的发展中发挥重要作用。进一步了解所鉴定的模块和成员基因的功能可能有助于确定谵妄的治疗干预靶点和诊断生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d3/7590056/9253678831b9/genes-11-01225-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验