Automated high-throughput quantification of plasma p-tau217 and APOE-ε4 for Alzheimer’s disease diagnosis and cognitive decline in a memory cohort

0Citations
Citations of this article
33Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: Blood-based biomarkers could improve the precision of Alzheimer’s disease (AD) clinical diagnosis and expand access to targeted treatments. Therefore, we evaluated the diagnostic accuracy of plasma Elecsys p-tau217 (Roche) and compared it with Elecsys p-tau181 (Roche) and Lumipulse p-tau217 (Fujirebio). We also assessed the added value of APOE-ε4 carrier status, plasma Aβ42 and Aβ42/40 in a memory-clinic cohort and evaluated associations with longitudinal cognition. Materials and methods: A total of 187 patients from the Cognitive Centre Ghent University (CCUG) biobank, classified as AD (n = 103) or non-AD cognitive disorders (n = 84) based on CSF biomarkers (CSF Aβ42/40 ratio, total tau and p-tau181), were included. Plasma Elecsys p-tau181, p-tau217, and APOE-ε4 were measured on the Roche cobas® pro e801, and p-tau217, Aβ42, and Aβ40 on the Fujirebio LUMIPULSE G1200. ROC analyses and single- and two-cut-off strategies (95% sensitivity/specificity) were applied. Subgroup analyses examined APOE-ε4 status, renal function, cerebral amyloid angiopathy (CAA) features, Fazekas score, and longitudinal cognition. Results: Elecsys plasma p-tau217 showed high discriminative performance for AD versus non-AD (AUC 0.939), comparable to Lumipulse p-tau217 (AUC 0.950; p = 0.485). Elecsys p-tau181 performed lower than Elecsys p-tau217 (AUC 0.903; p = 0.043). Using a two-cut-off strategy, the intermediate proportion was 19.9% for Elecsys p-tau217, 11.9% for Lumipulse p-tau217, and 33.2% for Elecsys p-tau181. Adding APOE-ε4 to Elecsys p-tau217 improved discriminative performance (AUC 0.970, p = 0.02) and reduced intermediates to 11.0%. Adjustment for Aβ42 on the Fujirebio platform did not significantly increase the AUC (0.950 vs. 0.957; p = 0.322) and modestly reduced intermediate classifications (11.9% to 10.0%). Higher baseline Elecsys p-tau217 was associated with lower baseline MoCA and a trend towards faster MoCA decline (p = 0.07). Age, sex, renal function, Fazekas score, and CAA were not significantly associated with Elecsys p-tau217 concentrations. Conclusion: Plasma Elecsys p-tau217 measured on an automated high-throughput platform shows excellent diagnostic accuracy for AD. Incorporating APOE-ε4 further improves classification, while Aβ42 adjustment had only limited additional impact. Baseline p-tau217 also reflects cognitive severity and may relate to subsequent cognitive decline in the memory-clinic setting.

Cite

CITATION STYLE

APA

Titeca, J., Scarioni, M., Oyaert, M., & Van Langenhove, T. (2026). Automated high-throughput quantification of plasma p-tau217 and APOE-ε4 for Alzheimer’s disease diagnosis and cognitive decline in a memory cohort. Alzheimer’s Research and Therapy , 18(1). https://doi.org/10.1186/s13195-026-01996-8

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free