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当代阿耳茨海默病研究

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ISSN (Print): 1567-2050
ISSN (Online): 1875-5828

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Research Article

通过共表达网络分析探索阿尔茨海默氏病和2型糖尿病的共享发病机制

卷 17, 期 6, 2020

页: [566 - 575] 页: 10

弟呕挨: 10.2174/1567205017666200810164932

价格: $65

摘要

背景：阿尔茨海默氏病（AD）和2型糖尿病（T2DM）在现代社会中的发病率不断上升。尽管越来越多的证据支持这两种疾病之间的紧密联系，但相互关系的机制仍有待充分阐明。 目的：本研究的主要目的是探讨AD和T2DM的共同病理生理机制。 方法：我们从基因表达综合数据库（GEO）下载了AD和T2DM的微阵列数据，并通过加权基因共表达网络分析（WGCNA）构建了共表达网络，以鉴定与AD和T2DM相关的基因网络模块。然后，通过clusterProfiler和DOSE软件包对AD和T2DM相关模块中存在的常见基因进行基因本体论（GO）和途径富集分析。最后，我们利用STRING数据库构建了蛋白质-蛋白质相互作用网络，并在网络中找到了轮毂基因。 结果：我们的研究结果表明，AD和T2DM分别具有七个和四个模块最为重要。功能富集分析表明AD和T2DM共同基因主要富集在昼夜节律夹带，吞噬体，谷胱甘肽代谢和突触小泡循环等信号传导途径中。蛋白质-蛋白质相互作用网络的构建确定了AD和T2DM共享基因中的10个中枢基因（CALM1，LRRK2，RBX1，SLC6A1，TXN，SNRPF，GJA1，VWF，LPL，AGT）。 结论：我们的工作确定了AD和T2DM的常见发病机制。这些共有的途径可能为进一步的机理研究和枢纽基因提供新思路，这些枢纽基因可以作为诊断和治疗AD和T2DM的新型治疗靶标。

关键词: 阿尔茨海默氏病，2型糖尿病，WGCNA，功能富集分析，蛋白质-蛋白质相互作用网络，Hub基因。

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