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Nature medicine
Published

Predicting onset of symptomatic Alzheimer's disease with plasma p-tau217 clocks

Authors

Kellen K Petersen, Marta Milà-Alomà, Yan Li, Lianlian Du, Chengjie Xiong, Duygu Tosun, Benjamin Saef, Ziad S Saad, Lei Du-Cuny, Janaky Coomaraswamy, Yulia Mordashova, Carrie E Rubel, Emily A Meyers, Leslie M Shaw, Jeffrey L Dage, Nicholas J Ashton, Henrik Zetterberg, Kyle Ferber, Gallen Triana-Baltzer, Michael Baratta, Erin G Rosenbaugh, Carlos Cruchaga, Eric McDade, David M Holtzman, John C Morris, J Martin Sabandal, Randall J Bateman, Anthony W Bannon, William Z Potter, Suzanne E Schindler, Alzheimer’s Disease Neuroimaging Initiative (ADNI), Foundation for the National Institutes of Health (FNIH) Biomarkers Consortium Plasma Aβ and Phosphorylated Tau as Predictors of Amyloid and Tau Positivity in Alzheimer’s Disease Project Team

Abstract

Nat Med. 2026 Feb 19. doi: 10.1038/s41591-026-04206-y. Online ahead of print.

ABSTRACT

Predicting not just if, but also when, cognitively unimpaired individuals are likely to develop onset of Alzheimer's disease (AD) symptoms would be useful to clinical trials and, eventually, clinical practice. Although clock models based on amyloid and tau positron emission tomography have shown promise in predicting the onset of AD symptoms, a model based on plasma biomarkers would be more accessible. Using longitudinal plasma %p-tau217 (the ratio of phosphorylated to non-phosphorylated tau at position 217) from two independent cohorts (n = 258 and n = 345), clock models were used to estimate the age at plasma %p-tau217 positivity. The estimated age at plasma %p-tau217 positivity was associated with the age at onset of AD symptoms (adjusted R2 of 0.337-0.612) with a median absolute error of 3.0-3.7 years. Notably, the time from %p-tau217 positivity to onset of AD symptoms was markedly shorter in older individuals. Similar models were constructed with data from one p-tau217/Aβ42 immunoassay and four plasma p-tau217 immunoassays. These findings suggest that the time until onset of AD symptoms can be estimated using a single blood test within a margin of error that is acceptable for use in clinical trials.

PMID:41714746 | DOI:10.1038/s41591-026-04206-y

UK DRI Authors

Profile picture of Henrik Zetterberg

Prof Henrik Zetterberg

Group Leader

Pioneering the development of fluid biomarkers for dementia

Prof Henrik Zetterberg