Predicting onset of symptomatic Alzheimerʼs disease with plasma p-tau217 clocks
Washington University in St. Louis · University of California, San Francisco · +23 more institutions
Abstract
Abstract Predicting not just if, but also when, cognitively unimpaired individuals are likely to develop onset of Alzheimerʼs 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…
Citation impact
- FWCI
- 168.71
- Percentile
- 100%
- References
- 46
Authors
31- KKKellen K. PetersenCorresponding
Washington University in St. Louis
- MMMarta Milà-Alomà
University of California, San Francisco, Northern California Institute for Research and Education
- YLYan Li
Washington University in St. Louis
- LDLianlian Du
Rush University Medical Center, University of Wisconsin–Madison, Rush University
- CXChengjie Xiong
Washington University in St. Louis, Prevent Alzheimer’s Disease 2020
Topics & keywords
- Disease
- Positron emission tomography
- Biomarker
- Clinical trial
- Age of onset
- Alzheimer's disease
- Good health and well-being