SPEAR UltraDetect™ pTau‐217: A High‐Accuracy, Scalable Plasma Biomarker for PET Confirmed Cognitively Impaired Patients Using a Single Cutoff

Abstract Background Alzheimer's disease misdiagnosis in specialized clinics and primary care often delays confirmatory testing and treatment windows for anti‐amyloid therapies. Plasma pTau‐217 assays offer a minimally invasive, scalable alternative for detecting amyloid pathology, yet their cost‐effectiveness in reducing confirmatory testing remains uncertain. Many current assays fail to surpass 90% sensitivity and specificity with a single cutoff, relying instead on a tiered double‐cutoff approach that inflates accuracy by discounting the intermediate zone (>20%). Stricter thresholds further expand this gray zone, leaving a substantial number of patients with delayed treatment decisions. To improve diagnostic accuracy, normalization strategies incorporating non‐phosphorylated tau or amyloid‐beta ratios were explored to mitigate false positives from commodities like CKD beyond pTau‐217 alone. Method We present the SPEAR UltraDetect™ pTau‐217 immunoassay, which employs a unique two‐factor authentication mechanism and a homogenous assay format, allowing free analyte‐binder interaction for maximized specificity. The test is semi‐automated (20 min hands‐on time) and achieves >90% clinical accuracy for amyloid pathology using a single cutoff. The assay requires only 1 µL of diluted plasma per measurement and operates on a wash‐free workflow with qPCR readout. A GAP (Global Alzheimer's Platform) cohort diagnosed with MCI ( n = 67) or mild dementia ( n = 34) with amyloid PET‐confirmed status (44 negative, 57 positive) was evaluated. Assay performance was compared to the MSD assay with Eli Lilly antibody, assessing specificity and fold‐change using single and double‐cutoff strategies. Result The SPEAR pTau‐217 assay demonstrated a 4.9‐fold increase in pTau‐217 levels in PET‐positive cases, nearly doubling the 2.5‐fold seen with the MSD assay with Eli Lilly antibody. Using a single cutoff, SPEAR achieved 91.2% sensitivity, 93.2% specificity, 94.6% PPV, and 89.1% NPV, with 92.1% overall accuracy. When optimizing for ≥95% specificity and sensitivity, the indeterminate range was reduced from 24.8% (MSD Eli Lilly antibody) to 13.9%. The assay exhibited robust inter‐day precision (5% CV) and 99% concordance across runs. Conclusion The SPEAR UltraDetect™ pTau‐217 assay offers improved clinical differentiation of amyloid PET status with > 90% accuracy using a single cutoff. Its minimal sample requirement, wash‐free workflow, and qPCR compatibility make it potentially a scalable, cost‐effective test for determining amyloid pathology of AD.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_106293
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

SPEAR UltraDetect™ pTau‐217: A High‐Accuracy, Scalable Plasma Biomarker for PET Confirmed Cognitively Impaired Patients Using a Single Cutoff

WonHee Kim, Jeremy Tan, Corinne Thomas, Feng Xuan et al.
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

SPEAR UltraDetect™ pTau‐217: A High‐Accuracy, Scalable Plasma Biomarker for PET Confirmed Cognitively Impaired Patients Using a Single Cutoff

WonHee Kim, Jeremy Tan, Corinne Thomas, Feng Xuan, Wenjing Jiang, Tsz Wing Fan
article en

Abstract

Abstract Background Alzheimer's disease misdiagnosis in specialized clinics and primary care often delays confirmatory testing and treatment windows for anti‐amyloid therapies. Plasma pTau‐217 assays offer a minimally invasive, scalable alternative for detecting amyloid pathology, yet their cost‐effectiveness in reducing confirmatory testing remains uncertain. Many current assays fail to surpass 90% sensitivity and specificity with a single cutoff, relying instead on a tiered double‐cutoff approach that inflates accuracy by discounting the intermediate zone (>20%). Stricter thresholds further expand this gray zone, leaving a substantial number of patients with delayed treatment decisions. To improve diagnostic accuracy, normalization strategies incorporating non‐phosphorylated tau or amyloid‐beta ratios were explored to mitigate false positives from commodities like CKD beyond pTau‐217 alone. Method We present the SPEAR UltraDetect™ pTau‐217 immunoassay, which employs a unique two‐factor authentication mechanism and a homogenous assay format, allowing free analyte‐binder interaction for maximized specificity. The test is semi‐automated (20 min hands‐on time) and achieves >90% clinical accuracy for amyloid pathology using a single cutoff. The assay requires only 1 µL of diluted plasma per measurement and operates on a wash‐free workflow with qPCR readout. A GAP (Global Alzheimer's Platform) cohort diagnosed with MCI ( n = 67) or mild dementia ( n = 34) with amyloid PET‐confirmed status (44 negative, 57 positive) was evaluated. Assay performance was compared to the MSD assay with Eli Lilly antibody, assessing specificity and fold‐change using single and double‐cutoff strategies. Result The SPEAR pTau‐217 assay demonstrated a 4.9‐fold increase in pTau‐217 levels in PET‐positive cases, nearly doubling the 2.5‐fold seen with the MSD assay with Eli Lilly antibody. Using a single cutoff, SPEAR achieved 91.2% sensitivity, 93.2% specificity, 94.6% PPV, and 89.1% NPV, with 92.1% overall accuracy. When optimizing for ≥95% specificity and sensitivity, the indeterminate range was reduced from 24.8% (MSD Eli Lilly antibody) to 13.9%. The assay exhibited robust inter‐day precision (5% CV) and 99% concordance across runs. Conclusion The SPEAR UltraDetect™ pTau‐217 assay offers improved clinical differentiation of amyloid PET status with > 90% accuracy using a single cutoff. Its minimal sample requirement, wash‐free workflow, and qPCR compatibility make it potentially a scalable, cost‐effective test for determining amyloid pathology of AD.

Alzheimer s & DementiaVol. 21(S2)
NatureServe (US)
Openalex Percentile: Top 28%
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.