Plasma biomarkers, brain amyloid‐beta pathology, and cortical thickness in a non‐Hispanic White and Black/African American middle‐aged community cohort: The HCP‐CoBRA study
Year: 2025
Type: article
Study design: Observational Study
Abstract: INTRODUCTION: We evaluated plasma biomarker association with, and classification accuracies for, amyloid beta-positron emission tomography (Aβ-PET) and cortical thickness in the biracial Human Connectome Project-Connectomics in Brain Aging (HCP-CoBRA) cohort (53% Black/African American [B/AA] and 47% non-Hispanic White [NHW]). METHODS: In n = 218 participants (median age 62, range: 57-71] years, 65% female and 15% Aβ-PET positive), plasma biomarkers (phosphorylated tau-181 [p-tau181], p-tau217, p-tau231, glial fibrillary acidic protein [GFAP], neurofilament light chain [NfL], and Aβ42/Aβ40) were compared to Aβ-PET and magnetic resonance imaging (MRI) neuroimaging indicators. RESULTS: Plasma p-tau217 (Johnson & Johnson and ALZpath [areas under the curve [AUCs] = 0.915 vs. 0.919]) had high sensitivity and specificity (>85%) for Aβ-PET status. All plasma biomarkers except p-tau231 effectively ruled out Aβ pathology (negative predictive value [NPV] >95%) but only Johnson & Johnson p-tau217+ was good for confirmation (covariate-adjusted positive predictive value [PPV] = 0.909). The plasma biomarkers performed poorly for identifying cortical thickness status but were elevated according to joint Aβ-PET and neurodegeneration profiles. Plasma biomarker accuracies for Aβ-PET positivity were unaffected by self-identified race, except for ALZpath p-tau217 (p = 0.024). However, correlations with Aβ-PET standardized uptake value ratio varied by self-identified race. DISCUSSION: Plasma p-tau217 is a promising tool for Alzheimer's disease-associated Aβ pathology in older/middle-aged individuals. However, apparent race-related performances should be further studied. HIGHLIGHTS: Plasma phosphorylated tau-217 (p-tau217) and glial fibrillary acidic protein (GFAP) best predicted abnormal brain amyloid beta-positron emission tomography (Aβ-PET). Plasma p-tau217 accurately identified abnormal Aβ-PET (Johnson & Johnson p-tau217: area under the curve [AUC] = 0.9145, 95% confidence interval [CI] = 0.8367-0.9923; ALZpath p-tau217: AUC = 0.9198, 95% CI = 0.8585-0.981) followed by GFAP and Aβ42/40 ratio (GFAP: AUC = 0.8529, 95% CI = 0.7485-0.9573; Aβ42/40:AUC = 0.7962, 95% CI = 0.6581-0.9346). All plasma biomarkers performed poorly in identifying cortical thickness, despite being higher according to combined Aβ-PET and neurodegeneration profiles. Correlations of p-tau217 (Johnson & Johnson p < 0.001), p-tau181 (p = 0.005), and Aβ42/40 (p = 0.004) with Aβ-PET in predicting amyloid burden were stronger in self-identified non-Hispanic Whites vs Black/African Americans. Biomarker accuracies for Aβ-PET positivity were unaffected by self-identified race, except ALZpath p-tau217 (p = 0.024).
Source: Alzheimer s & Dementia
DOI: 10.1002/alz.70985
Institutions: University of Pittsburgh, Johnson & Johnson (United States)
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,200
Awards: G10563324, G1058046096, G1099014294, G1143115647, BRAIN RISK ASSESSMENT FOR INDIVIDUAL NEUROLOGICAL (BRAIN) HEALTH: UNDERSTANDING/PREVENTING CONSEQUENCES FROM REPETITIVE MTBI AND HEAD IMPACT EXPOSURES, G120189231, G2442294994, G2453624921, G3301381536, Myosteatosis, Cognition and Blood Biomarkers of Alzheimer's Disease in Persons of African Ancestry, G4873966907, G707218699, G779041648, G9000000726, G9000044512, G9000061071, G9000082041, G9000117497, G9000207975, G9000208814, G9000216768, G9000300274, G9000331231, Examining the Persistence of Neurocognitive Benefits of Exercise, Mild Cognitive Impairment: A Prospective Community Study, Plasma brain-derived tau: a novel Alzheimer’s disease-type neurodegeneration biomarker with potential to complete the AT(N) scheme in blood, Analytical characterization and validation of blood-biomarkers for monitoring TBI evolution, Predictors of Altered CNS Structure, Function, and Connectomics in the Elderly using a Health Disparities Framework
OpenAlex ID: W4417264113
