ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2026
Plasma p-tau217 predicts PET-based pathological staging for precision Alzheimer disease assessment.
Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Plasma eMTBR-tau243 as a disease biomarker across Alzheimer's disease clinical phenotypes.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- The potential of key Alzheimer's plasma biomarkers to mimic tau PET MUBADA-based disease staging.Alzheimer's research & therapy · 2026Article
- Plasma p-tau217 predicts PET-based pathological staging for precision Alzheimer disease assessment.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
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Authors and funding
13 authors.
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Abstract
introductionWhile positron emission tomography (PET) is the standard for pathological staging, its limited availability necessitates accessible alternatives. We evaluated plasma biomarkers for detecting PET-based stages using single-axis (Thal/Braak) and integrated A/T composite models.
methodsWe enrolled 237 AD spectrum participants undergoing multimodal assessments including amyloid/tau PET and plasma biomarker analysis (phosphorylated tau [p-tau] 217, %p-tau217, and amyloid beta [Aβ] 42/40 ratio). Detecting and discriminative performance was assessed using receiver operating characteristics (ROC) analysis and probability-based stage prediction.
resultsPlasma p-tau217-based biomarkers showed excellent detecting performance for early amyloid (Thal I-II; area under the curve values > 0.96) and intermediate tau (Braak III-IV; area under the curve values > 0.92). Probability-based prediction identified therapeutic window thresholds of 1.895-5.077 pg/mL. Notably, integrated A/T composite staging yielded highly consistent thresholds (< 3% variance). DISCUSSION: Plasma p-tau217-based biomarkers accurately reflect PET-based staging across frameworks. The convergent therapeutic window thresholds demonstrate robust biological transitions, enabling accessible identification of optimal candidates for disease-modifying therapies.
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