Dynamical A β -Tau-Neurodegeneration Model Predicts Alzheimer's Disease Mechanisms and Biomarker Progression.

ABSTRACT: Alzheimer's disease is characterised by the pathological interaction of two proteins, amyloid-beta (Aβ) and tau, which collectively drive neurodegeneration and cognitive decline. The progression of Aβ, tau, and neurodegeneration biomarkers is captured by the ATN framework, which is a powerful tool for disease classification. However, since the ATN framework is mainly descriptive, it cannot quantify or predict relationships between biomarkers over time. We address this limitation by introducing a dynamical ATN (dATN) model that mechanistically simulates the spatiotemporal progression of Aβ, tau, and neurodegeneration. The dATN model integrates mechanisms of prion-like protein aggregation of Aβ and tau, network-based tau propagation, Aβ-driven catalysis of tau progression, and tau-driven neu

SUBMITTER: Chaggar P 

PROVIDER: S-EPMC12873951 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature