Profiling Amino Acid Substitutions in Proteomic Datasets of Alzheimer’s Disease Reveals Biological Significance
Background: Amino acid (AA) substitutions in Alzheimer’s disease (AD) have been studied almost exclusively at the DNA and RNA levels, and the proteome-level substitution landscape remains largely uncharacterized. Methods: We applied an open-search substitutomics pipeline (PIPI-C with Comet re-scoring, 1% PSM-level FDR) to two independent AD brain proteomic datasets, the AMP-AD superior temporal gyrus cohort (244 individuals) and PXD013753, excluding substitutions whose mass shifts coincide with common post-translational modifications. Results: We quantified 789 substitution-bearing peptidoforms from 185 proteins, corresponding to 784 protein-level substitution events. N > M was the most frequent N > X substitution in both datasets. In an institution-stratified case–control meta-analysis, 138 peptidoforms were more and 142 less abundant in AD than in neuropathological controls. Of 774 genome-mappable events, 710 (91.7%) were recorded in neither UniProt nor gnomAD, and only five matched a population variant with allele frequency ≥ 0.1%. The unrestricted search recovered six literature-reported sites in GFAP, ACTG1, and HBB. Conclusions: Proteome-level profiling reveals substitution events in AD brains that catalogued germline variation does not explain; their molecular origin requires orthogonal validation.
Authors
- Peize Zhao (ORCID: https://orcid.org/0000-0002-5051-9658)
- Shengzhi Lai (ORCID: https://orcid.org/0000-0001-8402-1156)
- Weichuan Yu (ORCID: https://orcid.org/0000-0002-5510-6916)
- Shuaijian Dai (ORCID: https://orcid.org/0000-0003-4747-9090)
- Chen Zhou (ORCID: https://orcid.org/0000-0002-2322-7748)
- Ning Li
Institutions
- Central South University (CN)
- Hong Kong University of Science and Technology (HK)
Publication Details
- Journal
- Biomedicines
- Published
- 2026-10-14
- DOI
- https://doi.org/10.3390/biomedicines14102342
- Primary Topic
- Advanced Proteomics Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Hong Kong University of Science and Technology