Kubinski Sabrina, Claus Peter
Institute of Neuroanatomy and Cell Biology, Hannover Medical School, Hannover, Germany.
Center for Systems Neuroscience (ZSN), Hannover, Germany.
Neurosci Insights. 2022 Mar 28;17:26331055221087740. doi: 10.1177/26331055221087740. eCollection 2022.
Spinal Muscular Atrophy (SMA) and Amyotrophic Lateral Sclerosis (ALS) are neurodegenerative diseases which are characterized by the loss of motoneurons within the central nervous system. SMA is a monogenic disease caused by reduced levels of the Survival of motoneuron protein, whereas ALS is a multi-genic disease with over 50 identified disease-causing genes and involvement of environmental risk factors. Although these diseases have different causes, they partially share identical phenotypes and pathomechanisms. To analyze and identify functional connections and to get a global overview of altered pathways in both diseases, protein network analyses are commonly used. Here, we used an tool to test for functional associations between proteins that are involved in actin cytoskeleton dynamics, fatty acid metabolism, skeletal muscle metabolism, stress granule dynamics as well as SMA or ALS risk factors, respectively. In network biology, interactions are represented by edges which connect proteins (nodes). Our approach showed that only a few edges are necessary to present a complex protein network of different biological processes. Moreover, Superoxide dismutase 1, which is mutated in ALS, and the actin-binding protein profilin1 play a central role in the connectivity of the aforementioned pathways. Our network indicates functional links between altered processes that are described in either ALS or SMA. These links may not have been considered in the past but represent putative targets to restore altered processes and reveal overlapping pathomechanisms in both diseases.
脊髓性肌萎缩症(SMA)和肌萎缩侧索硬化症(ALS)是神经退行性疾病,其特征是中枢神经系统内运动神经元的丧失。SMA是一种单基因疾病,由运动神经元存活蛋白水平降低引起,而ALS是一种多基因疾病,已鉴定出50多个致病基因,并涉及环境风险因素。尽管这些疾病病因不同,但它们部分共享相同的表型和发病机制。为了分析和识别功能联系,并全面了解两种疾病中改变的通路,通常使用蛋白质网络分析。在这里,我们使用一种工具来测试分别参与肌动蛋白细胞骨架动力学、脂肪酸代谢、骨骼肌代谢、应激颗粒动力学以及SMA或ALS风险因素的蛋白质之间的功能关联。在网络生物学中,相互作用由连接蛋白质(节点)的边表示。我们的方法表明,只需几条边就能呈现一个由不同生物过程组成的复杂蛋白质网络。此外,在ALS中发生突变的超氧化物歧化酶1和肌动蛋白结合蛋白原肌球蛋白1在上述通路的连通性中起核心作用。我们的网络表明了ALS或SMA中所描述的改变过程之间的功能联系。这些联系过去可能未被考虑,但代表了恢复改变过程和揭示两种疾病重叠发病机制的潜在靶点。