Abstract P1121: Late-Life Physical Activity and Brain Imaging and Plasma Biomarkers of Alzheimer’s Disease Pathology, Cerebrovascular Disease, and Neurodegeneration: The Atherosclerosis Risk in Communities Neurocognitive (ARIC-NCS) Study

J Jenna Barbee (University of North Carolina Chapel Hill, Chapel Hill, North Carolina, United States) Z Zhengyi Gu (University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States) J James Pike (Johns Hopkins University, Chapel Hill, North Carolina, United States) J Jinyu Chen A Alexandra Munson (University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States) K Katherine Kartheiser (University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States) K Kelley Gabriel (University of Alabama at Birmingham, Birmingham, Alabama, United States) D David Knopman T Timothy Hughes K Keenan Walker (National Institute on Aging, Mount Airy, Maryland, United States) R Rebecca Gottesman (NINDS, Bethesda, Maryland, United States) K Kevin Sullivan B B Gwen Windham (UMMC, The MIND Center, Jackson, Mississippi, United States) P Pamela Lutsey (University of Minnesota, Minneapolis, Minnesota, United States) B Bharat Thyagarajan A A Sharrett (JOHN HOPKINS UNIV, Baltimore, Maryland, United States) T Thomas Mosley (UNIV MS MEDICAL CTR, Jackson, Mississippi, United States) J Joe Coresh (New York University Grossman School of Medicine, New York, New York, United States) P Priya Palta (UNC Chapel Hill, Chapel Hill, North Carolina, United States)

Abstract

Introduction: Physical activity (PA) has been identified as a protective factor for dementia, but the mechanisms linking PA to brain health are unclear. To elucidate potential pathways linking PA to brain health, we tested the hypothesis that higher levels of late-life PA are associated with a lower burden of Alzheimer’s disease (AD) pathology, cerebrovascular disease, and neurodegeneration measured through brain imaging and plasma biomarkers. Methods: ARIC-NCS participants without dementia in 2011-13 and with measures of PA, 3T brain magnetic resonance imaging (MRI), and stored plasma samples were examined (n=1,771; mean age: 76.5 years; 40.5% male; 27.6% Black). Participants were classified as meeting or not meeting 2018 aerobic PA guidelines based on a standardized interviewer-administered questionnaire. MRI biomarkers included white matter hyperintensity (WMH) volume (cm 3 ), total brain volume (TBV) (cm 3 ), and cortical thickness (CT) (mm). Plasma biomarkers of the ratio of amyloid beta 42 to 40 (Aβ42/Aβ40), phosphorylated Tau-181 (p-Tau181), neurofilament light chain (NfL), and glial fibrillary acidic protein (GFAP) were measured using Quanterix Simoa immunoassays. All biomarkers were standardized to measures in 2011-13 to facilitate comparisons. Covariate-adjusted linear regression models estimated cross-sectional associations of PA with MRI or plasma biomarkers. Covariate-adjusted linear mixed effects models quantified associations of PA with the 5-year rate of change in a subset of participants with MRI (n=669) or plasma (n=651) biomarkers at both baseline and follow-up from 2011-19 (median follow-up: 5.4 years). Results: Meeting versus not meeting aerobic PA guidelines was cross-sectionally associated with lower volumes of WMH (β = -0.16, 95% CI: -0.25, -0.07), higher TBV (β = 0.09; 95% CI: 0.05, 0.13), and lower plasma NfL (β = -0.102, 95% CI: -0.184, -0.021) ( Figure ). Late-life PA was not associated with 5-year rates of change in MRI or plasma biomarkers. Conclusions: Late-life PA was cross-sectionally associated with less neurodegeneration and cerebrovascular disease. Associations with 5-year changes in imaging and plasma biomarkers of AD pathology, cerebrovascular disease, or neurodegeneration were not statistically supported. Longitudinal biomarker studies with wearable devices that quantify other daily intensity-based movement metrics (e.g., light PA) and larger sample sizes are needed to further examine mechanisms linking PA to brain health.

Article Details

Journal Circulation
Volume / Issue Vol. 151, Issue Suppl_1
Published March 11, 2025
ISSN 0009-7322
Publisher Lippincott Williams & Wilkins

Journal Info

Circulation

Lippincott Williams & Wilkins

ISSN: 0009-7322 Health Sciences

Authors (19)

J

Jenna Barbee

University of North Carolina Chapel Hill, Chapel Hill, North Carolina, United States

Z

Zhengyi Gu

University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States

J

James Pike

Johns Hopkins University, Chapel Hill, North Carolina, United States

J

Jinyu Chen

A

Alexandra Munson

University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States

K

Katherine Kartheiser

University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States

K

Kelley Gabriel

University of Alabama at Birmingham, Birmingham, Alabama, United States

D

David Knopman

T

Timothy Hughes

K

Keenan Walker

National Institute on Aging, Mount Airy, Maryland, United States

R

Rebecca Gottesman

NINDS, Bethesda, Maryland, United States

K

Kevin Sullivan

B

B Gwen Windham

UMMC, The MIND Center, Jackson, Mississippi, United States

P

Pamela Lutsey

University of Minnesota, Minneapolis, Minnesota, United States

B

Bharat Thyagarajan

A

A Sharrett

JOHN HOPKINS UNIV, Baltimore, Maryland, United States

T

Thomas Mosley

UNIV MS MEDICAL CTR, Jackson, Mississippi, United States

J

Joe Coresh

New York University Grossman School of Medicine, New York, New York, United States

P

Priya Palta

UNC Chapel Hill, Chapel Hill, North Carolina, United States