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利用生物信息学分析鉴定锰诱导的阿尔茨海默病的关键基因、信号通路并筛选治疗药物。

Identifying key genes, pathways and screening therapeutic agents for manganese-induced Alzheimer disease using bioinformatics analysis.

作者信息

Ling JunJun, Yang Shengyou, Huang Yi, Wei Dongfeng, Cheng Weidong

机构信息

Department of Traditional Chinese Medicine, Southern Medical University, Guangzhou Institute of Cancer, Xinqiao Hospital, Third Military Medical University, Chongqing Department of Medical Image, Guizhou Provincial People's Hospital Department of Internal Medicine, Affiliated Hospital of Guizhou Medical University, Guiyang Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.

出版信息

Medicine (Baltimore). 2018 Jun;97(22):e10775. doi: 10.1097/MD.0000000000010775.

Abstract

Alzheimer disease (AD) is a progressive neurodegenerative disease, the etiology of which remains largely unknown. Accumulating evidence indicates that elevated manganese (Mn) in brain exerts toxic effects on neurons and contributes to AD development. Thus, we aimed to explore the gene and pathway variations through analysis of high through-put data in this process.To screen the differentially expressed genes (DEGs) that may play critical roles in Mn-induced AD, public microarray data regarding Mn-treated neurocytes versus controls (GSE70845), and AD versus controls (GSE48350), were downloaded and the DEGs were screened out, respectively. The intersection of the DEGs of each datasets was obtained by using Venn analysis. Then, gene ontology (GO) function analysis and KEGG pathway analysis were carried out. For screening hub genes, protein-protein interaction network was constructed. At last, DEGs were analyzed in Connectivity Map (CMAP) for identification of small molecules that overcome Mn-induced neurotoxicity or AD development.The intersection of the DEGs obtained 140 upregulated and 267 downregulated genes. The top 5 items of biological processes of GO analysis were taxis, chemotaxis, cell-cell signaling, regulation of cellular physiological process, and response to wounding. The top 5 items of KEGG pathway analysis were cytokine-cytokine receptor interaction, apoptosis, oxidative phosphorylation, Toll-like receptor signaling pathway, and insulin signaling pathway. Afterwards, several hub genes such as INSR, VEGFA, PRKACB, DLG4, and BCL2 that might play key roles in Mn-induced AD were further screened out. Interestingly, tyrphostin AG-825, an inhibitor of tyrosine phosphorylation, was predicted to be a potential agent for overcoming Mn-induced neurotoxicity or AD development.The present study provided a novel insight into the molecular mechanisms of Mn-induced neurotoxicity or AD development and screened out several small molecular candidates that might be critical for Mn neurotoxicity prevention and Mn-induced AD treatment.

摘要

阿尔茨海默病(AD)是一种进行性神经退行性疾病,其病因在很大程度上仍不清楚。越来越多的证据表明,大脑中锰(Mn)含量升高对神经元产生毒性作用,并促使AD的发展。因此,我们旨在通过分析此过程中的高通量数据来探索基因和通路变化。为筛选出可能在锰诱导的AD中起关键作用的差异表达基因(DEG),下载了关于锰处理的神经细胞与对照(GSE70845)以及AD与对照(GSE48350)的公共微阵列数据,并分别筛选出DEG。通过维恩分析获得每个数据集DEG的交集。然后,进行基因本体(GO)功能分析和KEGG通路分析。为筛选枢纽基因,构建了蛋白质-蛋白质相互作用网络。最后,在连通图(CMAP)中分析DEG,以鉴定可克服锰诱导的神经毒性或AD发展的小分子。所获得DEG的交集有140个上调基因和267个下调基因。GO分析生物学过程的前5项是趋化性、化学趋化性、细胞-细胞信号传导、细胞生理过程调节和对损伤的反应。KEGG通路分析的前5项是细胞因子-细胞因子受体相互作用、凋亡、氧化磷酸化、Toll样受体信号通路和胰岛素信号通路。之后,进一步筛选出了几个可能在锰诱导的AD中起关键作用的枢纽基因,如胰岛素受体(INSR)、血管内皮生长因子A(VEGFA)、蛋白激酶A催化亚基β(PRKACB)、盘状结构域蛋白4(DLG4)和B细胞淋巴瘤2(BCL2)。有趣的是,酪氨酸磷酸化抑制剂 tyrphostin AG-825被预测为克服锰诱导的神经毒性或AD发展的潜在药物。本研究为锰诱导的神经毒性或AD发展的分子机制提供了新的见解,并筛选出了几个可能对预防锰神经毒性和治疗锰诱导的AD至关重要的小分子候选物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d2c/6392515/4d59552b1395/medi-97-e10775-g003.jpg

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