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Cross-disease analysis of Alzheimer’s disease and type-2 Diabetes highlights the role of autophagy in the pathophysiology of two highly comorbid diseases

机译:对阿尔茨海默氏病和2型糖尿病的跨疾病分析强调了自噬在两种高度共病疾病的病理生理中的作用

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摘要

Evidence is accumulating that the main chronic diseases of aging Alzheimer’s disease (AD) and type-2 diabetes mellitus (T2DM) share common pathophysiological mechanisms. This study aimed at applying systems biology approaches to increase the knowledge of the shared molecular pathways underpinnings of AD and T2DM. We analysed transcriptomic data of post-mortem AD and T2DM human brains to obtain disease signatures of AD and T2DM and combined them with protein-protein interaction information to construct two disease-specific networks. The overlapping AD/T2DM network proteins were then used to extract the most representative Gene Ontology biological process terms. The expression of genes identified as relevant was studied in two AD models, 3xTg-AD and ApoE3/ApoE4 targeted replacement mice. The present transcriptomic data analysis revealed a principal role for autophagy in the molecular basis of both AD and T2DM. Our experimental validation in mouse AD models confirmed the role of autophagy-related genes. Among modulated genes, Cyclin-Dependent Kinase Inhibitor 1B, Autophagy Related 16-Like 2, and insulin were highlighted. In conclusion, the present investigation revealed autophagy as the central dys-regulated pathway in highly co-morbid diseases such as AD and T2DM allowing the identification of specific genes potentially involved in disease pathophysiology which could become novel targets for therapeutic intervention.
机译:越来越多的证据表明,衰老的主要慢性疾病(AD)和2型糖尿病(T2DM)具有共同的病理生理机制。这项研究旨在应用系统生物学方法来增加对AD和T2DM共享分子途径基础的认识。我们分析了死后AD和T2DM人脑的转录组数据,以获得AD和T2DM的疾病特征,并将它们与蛋白质-蛋白质相互作用信息结合起来以构建两个疾病特异性网络。然后将重叠的AD / T2DM网络蛋白用于提取最具代表性的Gene Ontology生物过程术语。在两个AD模型(3xTg-AD和ApoE3 / ApoE4靶向替代小鼠)中研究了相关基因的表达。目前的转录组数据分析揭示了自噬在AD和T2DM的分子基础中的主要作用。我们在小鼠AD模型中的实验验证证实了自噬相关基因的作用。在调节基因中,突出显示了细胞周期蛋白依赖性激酶抑制剂1B,自噬相关16样2和胰岛素。总之,本研究显示自噬是高度共病的疾病(如AD和T2DM)中的主要异常调节途径,从而可以鉴定可能参与疾病病理生理的特定基因,这些基因可能成为治疗干预的新靶标。

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