ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2025
A systematic comparison of ATN biomarkers for monitoring longitudinal cognitive changes in Alzheimer's disease.
Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The trial behind it
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Who cites it
6 citing papers in PubMed.
- Blood-based circular RNAs for early diagnosis of Alzheimer's disease.Nature medicine · 2026Article
- Modular brain networks shape amyloid-driven tau spread and cognitive decline.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- The spectrum of Alzheimer's disease.medRxiv : the preprint server for health sciences · 2025Article
- The Synergistic Role of ApoE4 and GSK3β in Alzheimer's Disease: Pathological Mechanisms and Therapeutic Implications.Molecular neurobiology · 2025Review
- A systematic comparison of ATN biomarkers for monitoring longitudinal cognitive changes in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Differential associations of NFL and GFAP with neuropsychiatric symptoms by amyloid status across the Alzheimer's disease continuum.Frontiers in neurologyArticle
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
introductionWith anti-amyloid beta (Aβ) therapies approved for Alzheimer's disease (AD), surrogate biomarkers are needed to monitor clinical treatment efficacy. Therefore, we systematically compared longitudinal changes in A/T/N biomarkers (amyloid-positron emission tomography [PET], tau-PET, plasma phosphorylated tau at threonine 217 [p-tau
methodsWe analyzed longitudinal biomarker and cognitive change rates from the Alzheimer's Disease Neuroimaging Initiative (N = 141) and Anti-Amyloid Treatment in Asymptomatic Alzheimer's (A4) and Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (LEARN) (N = 151), estimated using linear mixed models. Using linear models, we tested biomarker changes as predictors of cognitive changes, comparing predictive strengths across biomarkers using bootstrapping.
resultsTau-PET, plasma p-tau217, and cortical thickness changes accurately tracked change rates in Mini-Mental State Examination, Alzheimer's Disease Assessment Scale-Cognitive Subscale 13-item version, Clinical Dementia Rating-Sum of Boxes, and Preclinial Alzheimer Cognitive Composite scores. In contrast, amyloid-PET change rates were not linked to cognitive changes. DISCUSSION: Plasma p-tau HIGHLIGHTS: Longitudinal changes in tau-PET, plasma p-tau
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