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A High Throughput, Multiplexed and Targeted Proteomic CSF Assay to Quantify Neurodegenerative Biomarkers and Apolipoprotein E Isoforms Status
Published on: October 20, 2016
Clinical utility of combined amyloid biomarkers in early cognitive impairment
Pu-Tien Chiang1,2,3, Shao-Ying Cheng2, Sung-Ju Hsueh2,3
1Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
Abstract:
BackgroundEarly etiological diagnosis of cognitive impairment is challenging. Amyloid PET improves diagnostic accuracy but is costly and limited in availability. Plasma phosphorylated tau-217 (p-tau217) has emerged as a scalable, minimally invasive biomarker.ObjectiveThis study aimed to evaluate the diagnostic and prognostic utility of amyloid PET and plasma p-tau217 in older adults with early cognitive impairment.MethodsWe prospectively enrolled 100 adults aged ≥ 65 years with mild cognitive impairment or mild dementia. Participants underwent comprehensive clinical evaluation, brain MRI, 18F-florbetaben amyloid PET, and plasma p-tau217 analysis. Longitudinal cognitive decline was assessed over a median follow-up of 1.3 years.ResultsAmyloid PET was positive in 45% and resulted in diagnostic revision in 39%. Plasma p-tau217 levels were significantly higher in amyloid-positive individuals (1.178 ± 0.652 versus 0.642 ± 0.940 pg/mL, p < 0.001) and accurately identified amyloid positivity (AUC = 0.855). Both amyloid PET positivity (HR = 6.61, 95% CI 2.36-18.50; p < 0.001) and elevated p-tau217 (HR = 4.43, 95% CI 1.83-10.68; p = 0.001) independently predicted faster cognitive decline. Combined biomarker analysis revealed a stepwise risk stratification, with dual-positive individuals showing the most rapid deterioration (global p < 0.001). Among amyloid-positive patients, elevated p-tau217 further distinguished those with faster progression (p = 0.035).ConclusionsAmyloid PET and plasma p-tau217 provide complementary diagnostic and prognostic value. While PET refines etiological diagnosis, p-tau217 serves as a robust predictor of amyloid status and cognitive trajectory. Integrating these biomarkers improves risk stratification and may facilitate patient selection for disease-modifying therapies.
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