Association of epigenetic age acceleration with MRI biomarkers of aging and Alzheimer's disease neurodegeneration

Epigenetic clocks of biological aging have been associated with cognitive impairment and dementia. Less is known about whether they are associated with an older-appearing brain or with an atrophy pattern associated with dementia. We examined associations of five epigenetic clocks measured at baseline with the Spatial Pattern of Atrophy for Recognition of Brain Aging (SPARE-BA) and the Alzheimer's Disease Pattern Similarity Score (AD-PS) derived from structural MRIs obtained an average of 8 years later among 1,196 older women. Using linear regression models adjusting for relevant covariates, we observed no associations between any epigenetic clock and accelerated brain aging based on SPARE-BA. We observed a significant association between AgeAccelGrim2 and AD-PS (β = 0.015; 95% CI 0.004 to 0.027; p = 0.01). This association appeared to be primarily driven by the association of a DNA methylation marker of smoking pack years with frontal and temporal lobe volumes. AgeAccelGrim2 was not associated with volumes in regions implicated in early AD (hippocampus and entorhinal cortex). Taken together with prior findings, these results suggest that measures of epigenetic and brain age acceleration capture different aspects of biological aging, and that AgeAccelGrim2 is predictive of neurodegenerative changes associated with smoking that increase risk of dementia.

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Publication Details

Journal
medRxiv
Published
2026-01-26
DOI
https://doi.org/10.64898/2026.01.23.26344650
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
0.00

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article

Association of epigenetic age acceleration with MRI biomarkers of aging and Alzheimer's disease neurodegeneration

Kenneth B. Beckman, Bowei Zhang, Linda McEvoy, Stephen R Rapp et al.
medRxiv
Epigenetics and DNA Methylation
article

Association of epigenetic age acceleration with MRI biomarkers of aging and Alzheimer's disease neurodegeneration

Kenneth B. Beckman, Bowei Zhang, Linda McEvoy, Stephen R Rapp, Ake Lu, Steve Nguyen, Steve Horvath, Christos Davatzikos, Mark A. Espeland, Aladdin H Shadyab, Andrea Z. LaCroix, Guray Erus, Adam X. Maihofer, Casanova Ramon, Susan M Resnick, Luigi Ferrucci, Caroline M. Nievergelt
article en

Abstract

Epigenetic clocks of biological aging have been associated with cognitive impairment and dementia. Less is known about whether they are associated with an older-appearing brain or with an atrophy pattern associated with dementia. We examined associations of five epigenetic clocks measured at baseline with the Spatial Pattern of Atrophy for Recognition of Brain Aging (SPARE-BA) and the Alzheimer's Disease Pattern Similarity Score (AD-PS) derived from structural MRIs obtained an average of 8 years later among 1,196 older women. Using linear regression models adjusting for relevant covariates, we observed no associations between any epigenetic clock and accelerated brain aging based on SPARE-BA. We observed a significant association between AgeAccelGrim2 and AD-PS (β = 0.015; 95% CI 0.004 to 0.027; p = 0.01). This association appeared to be primarily driven by the association of a DNA methylation marker of smoking pack years with frontal and temporal lobe volumes. AgeAccelGrim2 was not associated with volumes in regions implicated in early AD (hippocampus and entorhinal cortex). Taken together with prior findings, these results suggest that measures of epigenetic and brain age acceleration capture different aspects of biological aging, and that AgeAccelGrim2 is predictive of neurodegenerative changes associated with smoking that increase risk of dementia.

medRxiv
National Institutes of Health (US), University of Minnesota (US), Kaiser Permanente Washington Health Research Institute (US), University of California San Diego (US), Cambridge Intellectual Property (United Kingdom) (GB), Human Longevity (United States) (US), National Institute on Aging (US), Spectral Labs (United States) (US), Wake Forest University (US), University of Pennsylvania (US)
National Institutes of Health
Good health and well-being
Openalex Percentile: Top 78%
Epigenetics and DNA Methylation
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