Fulcher James M, Ives Ashley N, Tasaki Shinya, Kelly Shane S, Williams Sarah M, Fillmore Thomas L, Zhou Mowei, Moore Ronald J, Qian Wei-Jun, Paša-Tolić Ljiljana, Yu Lei, Oveisgharan Shahram, Bennett David A, De Jager Philip L, Petyuk Vladislav A
Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA.
Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA; Department of Neurological Sciences, Rush University Medical Center; Chicago, Illinois, USA.
Mol Cell Proteomics. 2025 May 5;24(6):100983. doi: 10.1016/j.mcpro.2025.100983.
The complex nature of Alzheimer's disease (AD) and its heterogenous clinical presentation has prompted numerous large-scale -omic analyses aimed at providing a global understanding of the pathophysiological processes involved. AD involves isoforms, proteolytic products, and posttranslationally modified proteins such as amyloid beta (Aβ) and microtubule-associated protein tau. Top-down proteomics directly measures these species and thus, offers a comprehensive view of pathologically relevant proteoforms that are difficult to analyze using traditional proteomic techniques. Here, we broadly explored associations between proteoforms and clinicopathological traits of AD by deploying a quantitative top-down proteomics approach across frontal cortex of 103 subjects selected from the ROS and MAP cohorts. The approach identified 1213 proteins and 11,782 proteoforms, of which 154 proteoforms had at least one significant association with a clinicopathological phenotype. One important finding included identifying Aβ C-terminal truncation state as the key property for differential association between amyloid plaques and cerebral amyloid angiopathy. Furthermore, various N-terminally truncated forms of Aβ had noticeably stronger association with amyloid plaques and global cognitive function. Additionally, we discovered six VGF neuropeptides that were positively associated with cognitive function independent of pathological burden. The database of brain cortex proteoforms provides a valuable context for functional characterization of the proteins involved in AD and other late-onset brain pathologies.
阿尔茨海默病(AD)的复杂性及其异质性临床表现促使人们开展了众多大规模的组学分析,旨在全面了解其中涉及的病理生理过程。AD涉及多种异构体、蛋白水解产物以及翻译后修饰的蛋白质,如β淀粉样蛋白(Aβ)和微管相关蛋白tau。自上而下的蛋白质组学直接测量这些物质,从而提供了一幅病理相关蛋白质异构体的全景图,而这些异构体使用传统蛋白质组学技术难以分析。在此,我们通过对从ROS和MAP队列中选取的103名受试者的额叶皮质采用定量自上而下蛋白质组学方法,广泛探究了蛋白质异构体与AD临床病理特征之间的关联。该方法鉴定出1213种蛋白质和11782种蛋白质异构体,其中154种蛋白质异构体与临床病理表型至少存在一种显著关联。一项重要发现是将Aβ C端截短状态确定为淀粉样斑块与脑淀粉样血管病之间差异关联的关键属性。此外,各种N端截短形式的Aβ与淀粉样斑块和整体认知功能的关联明显更强。此外,我们发现六种VGF神经肽与认知功能呈正相关,且独立于病理负担。大脑皮质蛋白质异构体数据库为AD及其他晚发性脑部疾病相关蛋白质的功能表征提供了有价值的背景信息。