CHANGE IN ALZHEIMER’S DISEASE BLOOD-BASED BIOMARKERS AND ASSOCIATIONS WITH BRAIN AMYLOID DEPOSITION

Abstract Blood-based biomarkers show promise as a noninvasive, inexpensive method for measuring Alzheimer’s disease pathology throughout the lifecourse. However, the prospective associations and discriminatory accuracy of these biomarkers at different stages of the lifecourse and among diverse, community-dwelling populations requires further investigation. Between 2014 and 2015, 329 dementia-free participants from the Atherosclerosis Risk in Communities Study underwent brain MRI and PET scans. Amyloid positivity was defined as a standardized uptake value ratio greater than 1.2. Stored plasma samples collected in midlife (1993-95, mean age 58.5 years) and late-life (2011-13, mean age 76.2 years) from a subsample of 259 participants were assayed in 2022. The assay quantified amyloid-β (Aβ)42/40, phosphorylated tau (p-Tau181), neurofilament light (NfL), and glial fibrillary acidic protein (GFAP). Logistic regression models estimated the association between plasma biomarkers from midlife and late-life and amyloid positivity in late-life. Receiver operating characteristic curves documented the discriminatory accuracy of the biomarkers. Assays from midlife were not associated with amyloid positivity in late-life. However, late-life measurements of Aβ42/40, p-Tau181, and GFAP and change per decade from midlife to late-life in p-Tau181 and GFAP were associated with greater odds of amyloid positivity. The greatest discriminatory accuracy was achieved by using all assays measured in midlife and late-life (AUC = 0.754), although the accuracy when using only late-life measures was comparable (AUC = 0.737). Additional longitudinal research is needed to determine whether changes in plasma biomarkers measured before an individual is amyloid positive can identify older adults at risk of developing Alzheimer’s disease.

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Publication Details

Journal
Innovation in Aging
Published
2024-12-01
DOI
https://doi.org/10.1093/geroni/igae098.0004
Primary Topic
Alzheimer's disease research and treatments
Type
article
Field-Weighted Citation Impact
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article

CHANGE IN ALZHEIMER’S DISEASE BLOOD-BASED BIOMARKERS AND ASSOCIATIONS WITH BRAIN AMYLOID DEPOSITION

Kevin Sullivan, Priya Palta, James Russell Pike, Yifei Lü et al.
Innovation in Aging
Alzheimer's disease research and treatments
article

CHANGE IN ALZHEIMER’S DISEASE BLOOD-BASED BIOMARKERS AND ASSOCIATIONS WITH BRAIN AMYLOID DEPOSITION

Kevin Sullivan, Priya Palta, James Russell Pike, Yifei Lü, Sonia Thomas, Keenan A. Walker, Michael Griswold, Jinyu Chen
article en

Abstract

Abstract Blood-based biomarkers show promise as a noninvasive, inexpensive method for measuring Alzheimer’s disease pathology throughout the lifecourse. However, the prospective associations and discriminatory accuracy of these biomarkers at different stages of the lifecourse and among diverse, community-dwelling populations requires further investigation. Between 2014 and 2015, 329 dementia-free participants from the Atherosclerosis Risk in Communities Study underwent brain MRI and PET scans. Amyloid positivity was defined as a standardized uptake value ratio greater than 1.2. Stored plasma samples collected in midlife (1993-95, mean age 58.5 years) and late-life (2011-13, mean age 76.2 years) from a subsample of 259 participants were assayed in 2022. The assay quantified amyloid-β (Aβ)42/40, phosphorylated tau (p-Tau181), neurofilament light (NfL), and glial fibrillary acidic protein (GFAP). Logistic regression models estimated the association between plasma biomarkers from midlife and late-life and amyloid positivity in late-life. Receiver operating characteristic curves documented the discriminatory accuracy of the biomarkers. Assays from midlife were not associated with amyloid positivity in late-life. However, late-life measurements of Aβ42/40, p-Tau181, and GFAP and change per decade from midlife to late-life in p-Tau181 and GFAP were associated with greater odds of amyloid positivity. The greatest discriminatory accuracy was achieved by using all assays measured in midlife and late-life (AUC = 0.754), although the accuracy when using only late-life measures was comparable (AUC = 0.737). Additional longitudinal research is needed to determine whether changes in plasma biomarkers measured before an individual is amyloid positive can identify older adults at risk of developing Alzheimer’s disease.

Innovation in AgingVol. 8(Supplement_1)
University of North Carolina at Chapel Hill (US), University of Mississippi Medical Center (US), National Institute on Aging (US), New York University (US)
Openalex Percentile: Top 66%
Alzheimer's disease research and treatments
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