Alzheimer s & Dementia, Journal Year: 2025, Volume and Issue: 21(2)
Published: Feb. 1, 2025
Abstract Neurodegenerative diseases (NDDs) pose a significant challenge in modern medicine due to their clinical heterogeneity, multifactorial etiologies, and frequent co‐pathologies. Traditional diagnostic systems, based on symptoms post mortem findings, are limited capturing the complex interactions among genetic, molecular, neuroanatomical factors. This manuscript introduces novel tridimensional framework that integrates these factors across three key axes: etiology (genetic environmental influences), molecular markers (primary secondary biomarkers), neuroanatomoclinical correlations. Through case studies, we demonstrate framework's ability synthesize incomplete datasets, stratify patients, guide precision medicine. By incorporating omics technologies, neuroimaging, AI‐driven probabilistic modeling, enhances accuracy relevance. approach may contribute overcoming limitations of traditional nosologies, offering scalable adaptable tool for both practice research advancing field NDD management. Highlights Tridimensional system : We propose new incorporates axes – etiology, markers, neuroanatomical‐clinical correlations enhance NDDs. Personalized The enables integration data, allowing highly personalized treatment strategies tailored individual patients. Proteinopathies as biomarkers emphasizes use primary proteinopathies (amyloid, tau, synuclein) (eg, NfL, GFAP) monitor disease progression efficacy. Addressing heterogeneity accommodates complexity NDDs, an classical conditions like Alzheimer's disease, Parkinson's frontotemporal dementia, ALS. Case studies real‐world application Practical illustrate how this can be implemented practice, enabling combination DMTs with symptomatic treatments.
Language: Английский