Proteome Profiling of Cerebrospinal Fluid and Machine Learning Reveal Protein Classifiers of Two Forms of Alzheimer's Disease Characterized by Increased or Not Altered Levels of Tau.

ABSTRACT: Alzheimer's disease (AD) is a multifactorial neurodegenerative disorder that presents with heterogeneous clinical and pathological features, necessitating improved biomarkers for accurate diagnosis and patient stratification. In this study, we applied a data-independent acquisition-based proteomics workflow to cerebrospinal fluid (CSF) samples from 138 individuals, including AD patients with high (Aβ+/tau+) or normal (Aβ+/tau-) CSF tau levels, and non-AD controls. Analysis using an Astral mass spectrometer enabled unprecedented proteome depth, identifying 2661 proteins with high data completeness. Comparative proteomic profiling revealed distinct protein signatures for Aβ+/tau+ and Aβ+/tau- subtypes. These findings were validated using an independent internal cohort and further corroborate

SUBMITTER: Scalia E 

PROVIDER: S-EPMC12335992 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature