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. 2024 Dec 31;8(Suppl 1):2–3. doi: 10.1093/geroni/igae098.0005

AD/NEURODEGENERATION BLOOD BIOMARKER ASSOCIATIONS WITH PREVALENT AND INCIDENT MOBILITY AND COGNITIVE IMPAIRMENT

B Gwen Windham 1, Chad Blackshear 2, Kevin Sullivan 3, James Pike 4, Keenan Walker 5, Thomas Mosley 6, Priya Palta 7, Michael Griswold 8
PMCID: PMC11689063

Abstract

Blood biomarkers of Alzheimer Disease pathology (Aβ42, Aβ40, p-tau181) and neurodegeneration (neurofilament light (NFL), glial fibrillary acidic protein (GFAP)) may identify individuals at risk for mobility and cognitive impairment. Among 1751 ARIC study participants at Visit 5 (V5, 2011-13, mean age 76.2 years (5.3), 41% men, 28% Black), usual gait speed and cognitive status were assessed over 8 years at V5, V6 (2016-17), and V7 (2017-18). Impairment outcomes were mobility-only (gait speed <0.8m/s, n=430), cognitive-only (dementia, n=38), dual (n=54), or neither (referent, n=1229). Multinomial regression models examined relative risk ratios (RRR) per higher IQR of V5 log-transformed biomarkers with cross-sectional impairments and, among those with neither impairment at V5, incident impairments or death without impairment (n=168) through V7. All models adjusted for V5 age, sex, self-reported race (Black or White), renal function, and body mass index. Aβ42 was reversed and adjusted for Aβ40 (-Aβ42|40) for consistent directions of associations (higher=worse). Higher biomarkers were associated with greater prevalence of mobility, cognitive, and dual impairments. Incident impairments occurred in mobility-only (n=471), cognitive-only (n=39), and dual domains (n=55). All biomarkers were associated with incident dual impairment: p-tau181 (RRR=2.54; 95% CI: 1.45, 4.44), -Aβ42|40 (RRR=1.66; 1.31, 2.09), NfL (RRR=2.69; 1.22, 5.91) and GFAP (RRR=2.13; 1.07, 4.25). P-tau181, -Aβ42|40, and GFAP were also associated with incident cognitive-only impairment; P-tau181, NFL and GFAP were associated with incident mobility-only impairment. AD-pathology versus neurodegeneration blood biomarkers may help identify older adults at differential risk of functional decline, potentially facilitating earlier targeted interventions to preserve mobility and cognitive outcomes.


Articles from Innovation in Aging are provided here courtesy of Oxford University Press

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