Discovery of Proteoforms Associated With Alzheimer's Disease Through Quantitative Top-Down Proteomics

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.

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Publication Details

Journal
Molecular & Cellular Proteomics
Published
2025-05-05
DOI
https://doi.org/10.1016/j.mcpro.2025.100983
Citations
11
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
8.32

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article

Discovery of Proteoforms Associated With Alzheimer's Disease Through Quantitative Top-Down Proteomics

Shane S. Kelly, Shahram Oveisgharan, James M. Fulcher, Shinya Tasaki et al.
11 citations
Molecular & Cellular Proteomics
Advanced Proteomics Techniques and Applications
8.32
article

Discovery of Proteoforms Associated With Alzheimer's Disease Through Quantitative Top-Down Proteomics

Shane S. Kelly, Shahram Oveisgharan, James M. Fulcher, Shinya Tasaki, David Alan Bennett, Ronald Moore, Mowei Zhou, Philip L. De Jager, Thomas Fillmore, Ljiljana Paša‐Tolić, Vladislav Petyuk, Weijun Qian, Ashley N. Ives, Lei Yu, Sarah Williams
article en
11 citations

Abstract

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.

Molecular & Cellular ProteomicsVol. 24(6)
Rush University Medical Center (US), Pacific Northwest National Laboratory (US), Environmental Molecular Sciences Laboratory (US), Zhejiang University (CN)
U.S. Department of Energy, Tulane University, National Institutes of Health, Biological and Environmental Research
Zero hunger
Openalex Percentile: Top 2%
Advanced Proteomics Techniques and Applications
8.32
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