ArticleAlzheimer's research & therapy2025
Association between antemortem plasma and structural MRI biomarkers and postmortem tau pathology in the Mayo Clinic Study of Aging.
Article in Alzheimer's research & therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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Who cites it
3 citing papers in PubMed.
- Quantitative Relationship Between Lumipulse G Measures of pTau217 in Plasma and the Temporal Cortex.Neurology · 2026Article
- Adaptive cascading artificial intelligence for Alzheimer's disease assessment: a clinically oriented narrative review and implementation framework.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Review
- Optimized plasma p-tau217 and p-tau217/Aβ42 cutoffs enhance detection of pre-clinical Alzheimer's disease across diverse participants.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Observational
Corrections and comments
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Authors and funding
18 authors.
Funding
Abstract
backgroundAntemortem plasma and structural MRI biomarkers of Alzheimer's disease (AD) are increasingly utilized for diagnosis and prognosis but their ability to predict regional tau burden remains relatively unexplored. We aimed to evaluate predictive models based on antemortem AD plasma and structural MRI for prediction of regional tau pathology in postmortem brain tissue.
methodsAutopsy data from 62 participants in the Mayo Clinic Study of Aging (MCSA) were analyzed (mean age of 84.6 years; 32% female; 1.4 years of mean time of last plasma draw to death). Tau pathology in the hippocampus and parietal cortex was quantified using two immunohistochemical markers: AT8, an early tangle maturity marker, and 2E9, an advanced tangle maturity marker. Three antemortem plasma markers including phosphorylated tau protein at threonine 181 (p-tau181), total amyloid-β (Aβ) 42 relative to Aβ40 ratio (Aβ42/40), and glial fibrillary acidic protein (GFAP) and three regional structural MRI markers including the hippocampus volume adjusted for total intracranial volume (HVA), parietal thickness (PTH) and parietal volume divided by total intracranial volume (PVTIV) were utilized as predictors. Weighted linear regression models using weights based on time from last plasma draw to death were adjusted for age, sex and cardiovascular and metabolic conditions (CMC) score for patients. We report estimated adjusted R
resultsMRI models (adjusted R
conclusionsOur study demonstrates the greater sensitivity of regional MRI to tau pathology in comparison to plasma biomarkers. Future studies should explore newer MRI methods and additional plasma biomarkers more specific to tau pathology such as microtubule binding region for prediction of antemortem tau pathology.
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