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Plasma p-tau217 predicts PET-based pathological staging for precision Alzheimer disease assessment

Authors
 Kim, Han-Kyeol  ;  Lee, Jae Hoon  ;  Chun, Joong-Hyun  ;  Kim, You Jin  ;  Park, Mina  ;  West, Tim  ;  Kirmess, Kristopher M.  ;  Verghese, Philip B.  ;  Connell, Daniel  ;  Braunstein, Joel B.  ;  Ryu, Young Hoon  ;  Cho, Hanna  ;  Lyoo, Chul Hyoung 
Citation
 ALZHEIMERS & DEMENTIA, Vol.22(2), 2026-02 
Article Number
 e71199 
Journal Title
ALZHEIMERS & DEMENTIA
ISSN
 1552-5260 
Issue Date
2026-02
MeSH
Aged ; Aged, 80 and over ; Alzheimer Disease* / blood ; Alzheimer Disease* / diagnosis ; Alzheimer Disease* / diagnostic imaging ; Alzheimer Disease* / pathology ; Amyloid beta-Peptides / blood ; Biomarkers / blood ; Brain / diagnostic imaging ; Brain / pathology ; Female ; Humans ; Male ; Phosphorylation ; Positron-Emission Tomography* ; tau Proteins* / blood
Keywords
Alzheimer disease ; amyloid PET ; biomarkers ; plasma p-tau217 ; tau PET
Abstract
INTRODUCTION: While 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. METHODS: We 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 [A beta] 42/40 ratio). Detecting and discriminative performance was assessed using receiver operating characteristics (ROC) analysis and probability-based stage prediction. RESULTS: Plasma 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. Highlights center dot Plasma phosphorylated tau (p-tau) 217 and %p-tau217 were directly aligned with positron emission tomography (PET)-defined Alzheimer's disease pathology using both single-axis staging (amyloid Thal phases, tau Braak stages) and integrated A/T composite staging. center dot Plasma p-tau217-based biomarkers consistently outperformed the amyloid beta (A beta) 42/40 ratio, showing excellent discrimination for early amyloid pathology and intermediate tau burden across PET-based staging frameworks. center dot Probability-based modeling defined stage-specific operating points, including optimal cutoffs and 50% probability thresholds, revealing a convergent biomarkerdefined therapeutic window across single-axis and composite staging approaches. center dot These findings support a plasma-first pathological staging strategy to identify treatment-eligible patients and prioritize confirmatory PET, particularly in clinical settings with limited imaging availability.
Full Text
https://alz-journals.onlinelibrary.wiley.com/doi/10.1002/alz.71199
DOI
10.1002/alz.71199
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Nuclear Medicine (핵의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Neurology (신경과학교실) > 1. Journal Papers
Yonsei Authors
Lyoo, Chul Hyoung(류철형) ORCID logo https://orcid.org/0000-0003-2231-672X
Park, Mina(박미나) ORCID logo https://orcid.org/0000-0002-2005-7560
Ryu, Young Hoon(유영훈) ORCID logo https://orcid.org/0000-0002-9000-5563
Lee, Jae Hoon(이재훈) ORCID logo https://orcid.org/0000-0002-9898-9886
Chun, Joong-Hyun(전중현) ORCID logo https://orcid.org/0000-0002-9665-7829
Cho, Hanna(조한나) ORCID logo https://orcid.org/0000-0001-5936-1546
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/211546
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