Identification of metabolic pathways and key genes associated with atypical parkinsonism using a systems biology approach

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-02-02 DOI:10.1007/s11011-024-01342-7
Amanda Pasqualotto, Vinícius da Silva, Felipe Mateus Pellenz, Artur Francisco Schumacher Schuh, Ida Vanessa Doederlein Schwartz, Marina Siebert
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Abstract

Atypical parkinsonism (AP) is a group of complex neurodegenerative disorders with marked clinical and pathophysiological heterogeneity. The use of systems biology tools may contribute to the characterization of hub-bottleneck genes, and the identification of its biological pathways to broaden the understanding of the bases of these disorders. A systematic search was performed on the DisGeNET database, which integrates data from expert curated repositories, GWAS catalogues, animal models and the scientific literature. The tools STRING 11.0 and Cytoscape 3.8.2 were used for analysis of protein-protein interaction (PPI) network. The PPI network topography analyses were performed using the CytoHubba 0.1 plugin for Cytoscape. The hub and bottleneck genes were inserted into 4 different sets on the InteractiveVenn. Additional functional enrichment analyses were performed to identify Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and gene ontology for a described set of genes. The systematic search in the DisGeNET database identified 485 genes involved with Atypical Parkinsonism. Superimposing these genes, we detected a total of 31 hub-bottleneck genes. Moreover, our functional enrichment analyses demonstrated the involvement of these hub-bottleneck genes in 3 major KEGG pathways. We identified 31 highly interconnected hub-bottleneck genes through a systems biology approach, which may play a key role in the pathogenesis of atypical parkinsonism. The functional enrichment analyses showed that these genes are involved in several biological processes and pathways, such as the glial cell development, glial cell activation and cognition, pathways were related to Alzheimer disease and Parkinson disease. As a hypothesis, we highlight as possible key genes for AP the MAPT (microtubule associated protein tau), APOE (apolipoprotein E), SNCA (synuclein alpha) and APP (amyloid beta precursor protein) genes.

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利用系统生物学方法识别与非典型帕金森病相关的代谢途径和关键基因
非典型帕金森病(AP)是一组复杂的神经退行性疾病,具有明显的临床和病理生理学异质性。使用系统生物学工具可能有助于确定枢纽-瓶颈基因的特征及其生物学通路,从而拓宽对这些疾病基础的理解。我们在 DisGeNET 数据库中进行了系统搜索,该数据库整合了来自专家策划库、GWAS 目录、动物模型和科学文献的数据。STRING 11.0和Cytoscape 3.8.2工具用于分析蛋白质-蛋白质相互作用(PPI)网络。PPI 网络拓扑分析使用 Cytoscape 的 CytoHubba 0.1 插件进行。枢纽基因和瓶颈基因被插入到 InteractiveVenn 的 4 个不同集合中。另外还进行了功能富集分析,以确定《京都基因和基因组百科全书》(KEGG)通路和基因本体中描述的一组基因。在 DisGeNET 数据库中进行的系统搜索发现了 485 个与非典型性帕金森病有关的基因。叠加这些基因,我们共发现了 31 个枢纽-瓶颈基因。此外,我们的功能富集分析表明,这些枢纽-瓶颈基因参与了 3 条主要的 KEGG 通路。我们通过系统生物学方法发现了31个高度相互关联的枢纽瓶颈基因,它们可能在非典型帕金森病的发病机制中发挥着关键作用。功能富集分析表明,这些基因参与了多个生物学过程和通路,如神经胶质细胞发育、神经胶质细胞活化和认知,这些通路与阿尔茨海默病和帕金森病有关。作为一种假设,我们强调 MAPT(微管相关蛋白 tau)、APOE(脂蛋白 E)、SNCA(突触核蛋白 alpha)和 APP(淀粉样 beta 前体蛋白)基因可能是帕金森病的关键基因。
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CiteScore
7.20
自引率
4.30%
发文量
567
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