Ruffini Nicolas, Klingenberg Susanne, Heese Raoul, Schweiger Susann, Gerber Susanne
Institute of Human Genetics, University Medical Center, Johannes Gutenberg University, Mainz, Germany.
Leibniz Institute for Resilience Research, Leibniz Association, Mainz, Germany.
Front Aging Neurosci. 2022 Jun 27;14:866886. doi: 10.3389/fnagi.2022.866886. eCollection 2022.
The common features of all neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, Amyotrophic Lateral Sclerosis (ALS), and Huntington's disease, are the accumulation of aggregated and misfolded proteins and the progressive loss of neurons, leading to cognitive decline and locomotive dysfunction. Still, they differ in their ultimate manifestation, the affected brain region, and the kind of proteinopathy. In the last decades, a vast number of processes have been described as associated with neurodegenerative diseases, making it increasingly harder to keep an overview of the big picture forming from all those data. In this meta-study, we analyzed genomic, transcriptomic, proteomic, and epigenomic data of the aforementioned diseases using the data of 234 studies in a network-based approach to study significant general coherences but also specific processes in individual diseases or omics levels. In the analysis part, we focus on only some of the emerging findings, but trust that the meta-study provided here will be a valuable resource for various other researchers focusing on specific processes or genes contributing to the development of neurodegeneration.
所有神经退行性疾病，包括阿尔茨海默病、帕金森病、肌萎缩侧索硬化症（ALS）和亨廷顿舞蹈病，其共同特征是聚集和错误折叠的蛋白质积累以及神经元的逐渐丧失，导致认知能力下降和运动功能障碍。然而，它们在最终表现、受影响的脑区以及蛋白病类型方面存在差异。在过去几十年中，大量过程被描述为与神经退行性疾病相关，这使得越来越难以从所有这些数据中把握整体情况。在这项元研究中，我们使用234项研究的数据，采用基于网络的方法分析上述疾病的基因组、转录组、蛋白质组和表观基因组数据，以研究显著的一般相关性以及个体疾病或组学水平上的特定过程。在分析部分，我们仅关注一些新出现的发现，但相信这里提供的元研究将成为其他专注于导致神经退行性变的特定过程或基因的众多研究人员的宝贵资源。
