Multiscale proteomic modeling reveals protein networks driving Alzheimer's disease pathogenesis.

ABSTRACT: The molecular mechanisms underlying the pathogenesis of Alzheimer's disease (AD), the most common form of dementia, remain poorly understood. Proteomics offers a crucial approach to elucidating AD pathogenesis, as alterations in protein expression are more directly linked to phenotypic outcomes than changes at the genetic or transcriptomic level. In this study, we develop multiscale proteomic network models for AD by integrating large-scale matched proteomic and genetic data from brain regions vulnerable to the disease. These models reveal detailed protein interaction structures and identify putative key driver proteins (KDPs) involved in AD progression. Notably, the network analysis uncovers an AD-associated subnetwork that captures glia-neuron interactions. AHNAK, a top KDP in this glia-

SUBMITTER: Wang E 

PROVIDER: S-EPMC12851831 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature