Aug 2026· Science Bulletin· 0 citations· 43 references
Medicine
TL;DR
Several plasma p-tau217 assays demonstrated strong diagnostic accuracy for amyloid PET positivity in this cross-sectional memory-clinic cohort, although performance varied across platforms and cutoff transferability was limited.
Abstract
Background
With the advancement of anti-amyloid treatments for Alzheimer disease, accurate assays for amyloid-β (Aβ) pathology are essential. Plasma phosphorylated tau 217 (p-tau217) is a blood-based biomarker, but its performance varies across platforms, necessitating head-to-head comparisons.
Methods
This multicenter study evaluated 9 plasma p-tau217 assays (6 including Aβ42 measurements) for detecting amyloid positron emission tomography (PET) positivity. The final analysis included 431 participants from 10 memory clinics in China (median age, 68.0 years; 61.7% women; 64.0% amyloid PET-positive): 30 cognitively unimpaired individuals, 230 with mild cognitive impairment, and 171 with dementia. All plasma samples underwent blinded, batch-matched testing in a central laboratory across chemiluminescence immunoassay (Fujirebio, Beckman, Vazyme, manufacturer A), single-molecule immunoassay (Quanterix, Lychix, iomicsBio, manufacturer B), and multiplex bead-based flow cytometric immunoassay (CellGene).
Results
Seven of the 9 assays showed acceptable performance (area under the curve [AUC] 0.899-0.930), whereas 2 showed lower performance (AUC <0.800; P < 0.001). Under a two-cutoff approach (90% sensitivity/90% specificity), these 7 high-performing assays yielded an intermediate zone of 2.8% to 13.7%. Performance remained robust in mild cognitive impairment and dementia subgroups. Adding Aβ42 showed assay- and population-dependent effects. Manufacturer-recommended and previously published cutoffs showed variable performance in this independent cohort.
Conclusions
Several plasma p-tau217 assays demonstrated strong diagnostic accuracy for amyloid PET positivity in this cross-sectional memory-clinic cohort, although performance varied across platforms and cutoff transferability was limited. Further longitudinal studies with predefined clinical outcomes are needed to determine prognostic value and clinical utility.
Findings support the Access p-Tau217 (RUO) assay as a robust, high-throughput assay for plasma biomarker-based discrimination of PET-defined amyloid pathology in AD applications.
P. Wynveen, A. Becker, S. Levin et al.· medRxiv· 0 citations
Ratios combining biomarkers of both amyloid and tau, such as Aβ42/pTau, consistently outperformed individual biomarkers in detecting amyloid and tau PET positivity and enhanced clinical utility by highlighting ambiguous cases requiring further assessment.
Sophie Mutel, F. Ribaldi, Augusto J. Mendes et al.· Alzheimer's Research & T...· 0 citations
Plasma %p-tau217 is a strong blood-based biomarker for detecting Aβ-PET positivity in cognitively unimpaired individuals and may support enrichment or monitoring strategies in Alzheimer's disease prevention trials, pending validation in larger independent cohorts.
E. Kazemi· Journal of Alzheimer's Disea...· 0 citations
Plasma p-Tau217 showed a stronger association with cerebral amyloid pathology than eZIS indices in this elderly MCI cohort, and eZIS may provide complementary information regarding downstream neurodegenerative and cerebrovascular processes that are not directly captured by plasma biomarkers.
I-Lun Huang, Hiroshi Matsuda, Ya-Tang Pai et al.· Diagnostics· 0 citations
A stratified approach based on amyloid status is essential for the optimal application of blood-based biomarkers in monitoring disease progression and evaluating therapeutic efficacy in future clinical trials and precision medicine.
Keun You Kim, Hyunsun Ham, E. Yoon et al.· The journal of prevention of...· 0 citations
Introduction Brain β-amyloid (Aβ) accumulation is a hallmark of Alzheimer’s disease, but noninvasive detection remains challenging. Blood transcriptomics may provide accessible biomarkers associated with Aβ pathology. Methods We integrated peripheral blood transcriptomic profiling and MRI-derived structural metrics fro...
Yijia Lin, Lizhen Cheng, Zhen Zhang et al.· Frontiers in Aging Neuroscie...· 0 citations
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