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August 20, 2025Alzheimer s Research & TherapyOpen Access

Optimizing timing and cost-effective use of plasma biomarkers in Alzheimer’s disease

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Authors

HCHsin‐I ChangMMMi-Chia MaKHKuo‐Lun Huang

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Overview

This analysis finds that plasma biomarkers enhance diagnostic accuracy for amyloid positivity in Alzheimer's disease, indicating their potential in clinical settings.

Key Points

  • The combined plasma panel achieved over 92% accuracy in identifying amyloid positivity, supporting cost-effective Alzheimer's diagnosis.
  • Using different machine learning models, plasma biomarkers like pTau217 showed high diagnostic accuracy, reaching 93.4% in early clinical stages.
  • Evaluation involved 371 participants, with substantial focus on distinguishing Alzheimer’s disease from non-AD and cognitively unimpaired controls.
  • Integration of plasma biomarkers and machine learning may streamline early detection and patient stratification in Alzheimer's disease.

Cite This Study

Chang et al. (2025) studied this question.

synapsesocial.com/papers/68af35e9cf1dd9ea359ea5cahttps://doi.org/10.1186/s13195-025-01851-2
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Plasma phosphorylated tau 217 and amyloid‑β 42/40 for amyloid risk in subgroups2025
  2. 2Integrating MRI Volume and Plasma p-Tau217 for Amyloid Risk Stratification in Early-Stage Alzheimer Disease2025
  3. 3Plasma Phosphorylated Tau 217 to Identify Preclinical Alzheimer Disease2025
  4. 4Plasma p‐tau217, NfL, GFAP diagnostic performance and biomarker profiles in Alzheimer's disease, frontotemporal dementia, and psychiatric disorders, in a prospective unselected neuropsychiatry memory clinic2025
  5. 5Profiling Plasma Biomarkers, Particularly pTau217 and pTau217/Aβ42, and Their Relation to Cognition in Memory Clinic Patients2025