Evaluating the real-world performance of plasma pTau217 and pTau181 in a Southeast Asian tertiary memory clinic

Recent advancements in plasma pTau217 have shown its potential as a reliable biomarker for detecting brain amyloid pathology (Aβ) in Alzheimer’s disease (AD). However, its application in real-world settings remains limited, particularly in non-Caucasian populations such as those in Asia. While plasma pTau217 has demonstrated high accuracy in research cohorts, most studies have been conducted in Western populations. We evaluated the performance of plasma pTau217 and pTau181 with longitudinal cognition in a real-world tertiary memory clinic setting. Plasma ptau217 was measured using ALZpath SIMOA assay in 291 participants [68 healthy controls (HC), 100 mild cognitive impairment (MCI), 86 AD dementia (ADD), 37 non-AD dementia] from National Neuroscience Institute, Singapore. Performances of pTau217, derived reference ranges (low-, intermediate-, high-) for amyloid positivity and associations with cognitive decline over 4 years was evaluated. Plasma pTau217 [(area under the curve (AUC) = 0.942)] outperformed pTau181 (AUC = 0.909) in differentiating ADD from other disease groups. Amongst patients with known amyloid status (n = 40), pTau217 identified Aβ + with AUC = 0.961 vs. pTau181 with AUC = 0.917. Using a two cut-point approach, a 95% sensitivity and specificity for Aβ + corresponded to pTau217 > 0.66 pg/ml and < 0.38 pg/ml, respectively. With these two cut-points, patients in the total cohort were stratified into low-, intermediate-, and high-risk groups for Aβ + . The high-risk group exhibited the steepest annual decline in both MoCA (-2.382) and MMSE (-1.580) scores; while the low-risk group demonstrated relatively stable cognitive performance over time. By applying a k-means clustering analysis, we identified three clusters of participants representing stable, slow, and fast progressors. Fast progressors exhibit the most pronounced cognitive decline and the highest pTau217 levels. Plasma pTau217 demonstrates high diagnostic accuracy and effectively predicts cognitive decline even in individuals without known Aβ + status, potentially reducing reliance on amyloid PET confirmation. Our findings reinforce the clinical utility of plasma pTau217 as a prognostic biomarker for AD progression, offering a practical, non-invasive tool for assessing cognitive decline in real-world Southeast Asian memory clinics.

Authors

Institutions

Publication Details

Journal
Alzheimer s Research & Therapy
Published
2026-03-05
DOI
https://doi.org/10.1186/s13195-026-02008-5
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating the real-world performance of plasma pTau217 and pTau181 in a Southeast Asian tertiary memory clinic

Yi-Roe Tan, K W Ng, Adeline SL Ng, Raziyeh Mohammadi et al.
Alzheimer s Research & Therapy
Dementia and Cognitive Impairment Research
article

Evaluating the real-world performance of plasma pTau217 and pTau181 in a Southeast Asian tertiary memory clinic

Yi-Roe Tan, K W Ng, Adeline SL Ng, Raziyeh Mohammadi, Simon Ting, Louis CS Tan, Nicole Isabella Tan, Louis SS Lim, Shahul Hameed, Shermine HL Low, Seyed Ehsan Saffari, Hui Jin Chiew
article en

Abstract

Recent advancements in plasma pTau217 have shown its potential as a reliable biomarker for detecting brain amyloid pathology (Aβ) in Alzheimer’s disease (AD). However, its application in real-world settings remains limited, particularly in non-Caucasian populations such as those in Asia. While plasma pTau217 has demonstrated high accuracy in research cohorts, most studies have been conducted in Western populations. We evaluated the performance of plasma pTau217 and pTau181 with longitudinal cognition in a real-world tertiary memory clinic setting. Plasma ptau217 was measured using ALZpath SIMOA assay in 291 participants [68 healthy controls (HC), 100 mild cognitive impairment (MCI), 86 AD dementia (ADD), 37 non-AD dementia] from National Neuroscience Institute, Singapore. Performances of pTau217, derived reference ranges (low-, intermediate-, high-) for amyloid positivity and associations with cognitive decline over 4 years was evaluated. Plasma pTau217 [(area under the curve (AUC) = 0.942)] outperformed pTau181 (AUC = 0.909) in differentiating ADD from other disease groups. Amongst patients with known amyloid status (n = 40), pTau217 identified Aβ + with AUC = 0.961 vs. pTau181 with AUC = 0.917. Using a two cut-point approach, a 95% sensitivity and specificity for Aβ + corresponded to pTau217 > 0.66 pg/ml and < 0.38 pg/ml, respectively. With these two cut-points, patients in the total cohort were stratified into low-, intermediate-, and high-risk groups for Aβ + . The high-risk group exhibited the steepest annual decline in both MoCA (-2.382) and MMSE (-1.580) scores; while the low-risk group demonstrated relatively stable cognitive performance over time. By applying a k-means clustering analysis, we identified three clusters of participants representing stable, slow, and fast progressors. Fast progressors exhibit the most pronounced cognitive decline and the highest pTau217 levels. Plasma pTau217 demonstrates high diagnostic accuracy and effectively predicts cognitive decline even in individuals without known Aβ + status, potentially reducing reliance on amyloid PET confirmation. Our findings reinforce the clinical utility of plasma pTau217 as a prognostic biomarker for AD progression, offering a practical, non-invasive tool for assessing cognitive decline in real-world Southeast Asian memory clinics.

Alzheimer s Research & Therapy
SingHealth (SG), National University of Singapore (SG), Nanyang Technological University (SG), Singapore General Hospital (SG), Tan Tock Seng Hospital (SG), SingHealth Duke-NUS Academic Medical Centre (SG), Duke-NUS Medical School (SG), National Neuroscience Institute (SG)
Openalex Percentile: Top 40%
Dementia and Cognitive Impairment Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.