Comparison of plasma p‐tau217/Aβ42, p‐tau217, and Aβ42/Aβ40 biomarkers by race to detect Alzheimer's disease
Year: 2025
Type: article
Study design: Observational Study
Abstract: INTRODUCTION: In clinically and racially diverse training and test sets, we evaluated and validated Alzheimer's disease (AD) plasma biomarkers: phosphorylated tau-217 (p-tau217), amyloid beta 1-42/1-40 (Aβ42/Aβ40), and p-tau217/Aβ42. METHODS: F-florbetapir positron emission tomography (PET) data. In the training set (n = 289; 28% pBlack), we used receiver-operating characteristic (ROC) analysis to calculate two cut points (0.95 sensitivity and specificity) to detect amyloid PET positivity. Cut points were validated in an independent test set (n = 846; 12% pBlack). RESULTS: In the test set, plasma p-tau217/Aβ42 had the highest accuracy (pBlack: 0.88, pWhite: 0.91) and lowest proportion of intermediate classifications (≤0.16), with no classification difference by race (odds ratio [OR] = 1.45, 95% confidence interval [CI] = 0.66-2.95, p = 0.33). False negatives were more likely to be cognitively normal (vs mild cognitive impairment [MCI]; OR = 7.79, 95% CI = 2.33-40.81, p = 5.1e-05) than correct classifications. DISCUSSION: Plasma p-tau217/Aβ42 had high accuracy to detect AD, with comparable performance across race. HIGHLIGHTS: , p-tau217, and Aβ42/Aβ40 in diverse training and test sets. In models, race × amyloid PET interactions were not significant. Plasma p-tau217/Aβ42 had the highest accuracy in people who self-identified as Black/African American (pBlack; 0.88) and people who self-identified as White (pWhite; 0.91). Plasma p-tau217/Aβ42 had the lowest proportion of intermediate cases (range = 0.09-0.16). False negatives were more likely to have normal cognition, female sex, and high body mass index.
Source: Alzheimer s & Dementia
DOI: 10.1002/alz.70469
Authors: Katheryn A. Q. Cousins, Magdalena Korecka, Yang Wan, Amberley Vulaj, Christopher Brown, Thomas F. Tropea, Edward B. Lee, Duygu Tosun, Susan M. Landau, Ozioma C. Okonkwo, Monica Rivera Mindt, Michael W. Weiner, David J. Irwin, David A. Wolk, Leslie M. Shaw, and the Alzheimer's Disease Neuroimaging Initiative
Institutions: University of Pennsylvania, University of California, San Francisco, University of California, Berkeley, University of Wisconsin–Madison, Fordham University, Icahn School of Medicine at Mount Sinai, San Francisco VA Medical Center, Northern California Institute for Research and Education, Alzheimer’s Disease Neuroimaging Initiative
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,200
Awards: G104586243, G1236162799, G1531775036, G3200145824, G4212016866, G504619356, Alzheimer's Disease Neuroimaging Initiative, G6336656591, G9000004438, G9000065952, G9000118926, G9000164485, Pathology-guided biofluid biomarker strategies for classification and progression of frontotemporal lobar degeneration (FTLD)
OpenAlex ID: W4413110795
