Longitudinal associations between self‐reported exercise levels and Alzheimer’s related biomarkers in Autosomal Dominant Alzheimer’s Disease

Abstract Background Accumulating evidence indicates exercise may delay or prevent the onset of Alzheimer’s disease (AD). To our knowledge, no study has investigated the longitudinal impact of exercise on AD‐related biomarkers in individuals with Autosomal dominant Alzheimer’s disease (ADAD) mutations who are destined to develop AD. This study examined longitudinal associations between self‐reported exercise levels and AD‐related biomarkers in a cohort of ADAD mutation carriers and investigated whether observed associations depended upon disease stage. Method This prospective cohort study included participants from the Dominantly Inherited Alzheimer’s Network (DIAN). Participants were n = 308 ADAD mutation carriers aged 39.7 ± 10.8 years (56.5% female) with data available for self‐reported exercise participation and either brain imaging (hippocampal volume, total volume, gray matter volume, white matter hyperintensities, brain Aβ), or biomarkers quantified from cerebrospinal fluid (Aβ40, Aβ42, p‐tau, t‐tau, p‐tau/Aβ42, and Aβ42/40). Associations between exercise and AD biomarkers (i.e., from brain imaging and CSF) were examined using linear mixed models. Result Greater weekly baseline exercise was associated with slower accumulation of brain Aβ at preclinical disease stages (β = ‐0.16, 95% CI ‐0.23 – ‐0.08), and slower decline of right and left hippocampal volume (β = 0.06, 95% CI 0.03–0.08; β = 0.06, 95% CI 0.02–0.09, respectively), total cortical volume (β = 0.03, 95% CI 0.01–0.05), total subcortical gray matter volume (β = 0.03, 95% CI 0.01–0.05), and total gray matter volume (β = 0.03, 95% CI 0.01–0.05), effects which became significant approximately 5 years before predicted cognitive symptom onset. Conclusion These findings demonstrate that exercise is associated with more favourable profiles of AD‐related biomarkers in those with ADAD mutations. The causal direction of this research is difficult to ascertain, thus future study designs investigating the therapeutic potential of exercise in both ADAD and late‐onset AD should be considered before clinical recommendation of exercise is implemented.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.085308
Primary Topic
Health, Environment, Cognitive Aging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Longitudinal associations between self‐reported exercise levels and Alzheimer’s related biomarkers in Autosomal Dominant Alzheimer’s Disease

James D. Doecke, Randall John Bateman, Hamid R. Sohrabi, Jeremiah J. Peiffer et al.
Alzheimer s & Dementia
Health, Environment, Cognitive Aging
article

Longitudinal associations between self‐reported exercise levels and Alzheimer’s related biomarkers in Autosomal Dominant Alzheimer’s Disease

James D. Doecke, Randall John Bateman, Hamid R. Sohrabi, Jeremiah J. Peiffer, Kelsey R. Sewell, Stephanie Ruth Rainey‐Smith, John C. Morris, Ralph N. Martins, Eric McDade, Belinda M. Brown
article en

Abstract

Abstract Background Accumulating evidence indicates exercise may delay or prevent the onset of Alzheimer’s disease (AD). To our knowledge, no study has investigated the longitudinal impact of exercise on AD‐related biomarkers in individuals with Autosomal dominant Alzheimer’s disease (ADAD) mutations who are destined to develop AD. This study examined longitudinal associations between self‐reported exercise levels and AD‐related biomarkers in a cohort of ADAD mutation carriers and investigated whether observed associations depended upon disease stage. Method This prospective cohort study included participants from the Dominantly Inherited Alzheimer’s Network (DIAN). Participants were n = 308 ADAD mutation carriers aged 39.7 ± 10.8 years (56.5% female) with data available for self‐reported exercise participation and either brain imaging (hippocampal volume, total volume, gray matter volume, white matter hyperintensities, brain Aβ), or biomarkers quantified from cerebrospinal fluid (Aβ40, Aβ42, p‐tau, t‐tau, p‐tau/Aβ42, and Aβ42/40). Associations between exercise and AD biomarkers (i.e., from brain imaging and CSF) were examined using linear mixed models. Result Greater weekly baseline exercise was associated with slower accumulation of brain Aβ at preclinical disease stages (β = ‐0.16, 95% CI ‐0.23 – ‐0.08), and slower decline of right and left hippocampal volume (β = 0.06, 95% CI 0.03–0.08; β = 0.06, 95% CI 0.02–0.09, respectively), total cortical volume (β = 0.03, 95% CI 0.01–0.05), total subcortical gray matter volume (β = 0.03, 95% CI 0.01–0.05), and total gray matter volume (β = 0.03, 95% CI 0.01–0.05), effects which became significant approximately 5 years before predicted cognitive symptom onset. Conclusion These findings demonstrate that exercise is associated with more favourable profiles of AD‐related biomarkers in those with ADAD mutations. The causal direction of this research is difficult to ascertain, thus future study designs investigating the therapeutic potential of exercise in both ADAD and late‐onset AD should be considered before clinical recommendation of exercise is implemented.

Alzheimer s & DementiaVol. 20(S7)
Edith Cowan University (AU), Commonwealth Scientific and Industrial Research Organisation (AU), Murdoch University (AU), Washington University in St. Louis (US), Australian e-Health Research Centre (AU), Australian Alzheimer’s Research Foundation (AU), Dementia Australia (AU), Macquarie University (AU)
Openalex Percentile: Top 64%
Health, Environment, Cognitive Aging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.