Xiong Jing, Pang Xinping, Song Xianghu, Yang Lin, Pang Chaoyang
College of Computer Science, Sichuan Normal University, Chengdu, China.
West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China.
Front Mol Neurosci. 2024 Jan 31;16:1330853. doi: 10.3389/fnmol.2023.1330853. eCollection 2023.
Alzheimer's disease (AD) is a heterogeneous age-dependent neurodegenerative disorder. Its hallmarks involve abnormal proteostasis, which triggers proteotoxicity and induces neuronal dysfunction. The 26S proteasome is an ATP-dependent proteolytic nanomachine of the ubiquitin-proteasome system (UPS) and contributes to eliminating these abnormal proteins. This study focused on the relationship between proteasome and AD, the hub genes of proteasome, PSMC6, and 7 genes of α-ring, are selected as targets to study. The following three characteristics were observed: 1. The total number of proteasomes decreased with AD progression because the proteotoxicity damaged the expression of proteasome proteins, as evidenced by the downregulation of hub genes. 2. The existing proteasomes exhibit increased activity and efficiency to counterbalance the decline in total proteasome numbers, as evidenced by enhanced global coordination and reduced systemic disorder of proteasomal subunits as AD advances. 3. The synergy of PSMC6 and α-ring subunits is associated with AD. Synergistic downregulation of PSMC6 and α-ring subunits reflects a high probability of AD risk. Regarding the above discovery, the following hypothesis is proposed: The aggregation of pathogenic proteins intensifies with AD progression, then proteasome becomes more active and facilitates the UPS selectively targets the degradation of abnormal proteins to maintain CNS proteostasis. In this paper, bioinformatics and support vector machine learning methods are applied and combined with multivariate statistical analysis of microarray data. Additionally, the concept of entropy was used to detect the disorder of proteasome system, it was discovered that entropy is down-regulated continually with AD progression against system chaos caused by AD. Another conception of the matrix determinant was used to detect the global coordination of proteasome, it was discovered that the coordination is enhanced to maintain the efficiency of degradation. The features of entropy and determinant suggest that active proteasomes resist the attack caused by AD like defenders, on the one hand, to protect themselves (entropy reduces), and on the other hand, to fight the enemy (determinant reduces). It is noted that these are results from biocomputing and need to be supported by further biological experiments.
阿尔茨海默病(AD)是一种异质性的年龄依赖性神经退行性疾病。其特征包括异常的蛋白质稳态,这会引发蛋白毒性并导致神经元功能障碍。26S蛋白酶体是泛素-蛋白酶体系统(UPS)中一种依赖ATP的蛋白水解纳米机器,有助于清除这些异常蛋白质。本研究聚焦于蛋白酶体与AD之间的关系,选择蛋白酶体的核心基因PSMC6以及α环的7个基因作为研究靶点。观察到以下三个特征:1. 随着AD进展,蛋白酶体总数减少,因为蛋白毒性损害了蛋白酶体蛋白的表达,核心基因的下调证明了这一点。2. 随着AD进展,现有蛋白酶体的活性和效率增加,以平衡蛋白酶体总数的下降,蛋白酶体亚基的全局协调性增强和系统性紊乱减少证明了这一点。3. PSMC6与α环亚基的协同作用与AD相关。PSMC6与α环亚基的协同下调反映了AD风险的高概率。关于上述发现,提出以下假设:随着AD进展,致病蛋白的聚集加剧,然后蛋白酶体变得更加活跃,并促进UPS选择性地靶向异常蛋白的降解,以维持中枢神经系统的蛋白质稳态。本文应用生物信息学和支持向量机学习方法,并结合微阵列数据的多变量统计分析。此外,利用熵的概念检测蛋白酶体系统的紊乱,发现随着AD进展,熵不断下调以对抗由AD引起的系统混乱状态。使用矩阵行列式的另一个概念检测蛋白酶体的全局协调性,发现协调性增强以维持降解效率。熵和行列式的特征表明,活跃的蛋白酶体像防御者一样抵抗由AD引起的攻击,一方面保护自身(熵降低),另一方面对抗敌人(行列式降低)。需要注意的是,这些是生物计算的结果,需要进一步的生物学实验支持。