Sex-Based Differences in the Association of Epigenetic Age Acceleration with Alzheimer's Disease Biomarkers and Cognitive Measures.
Year: 2025
Type: article
Abstract: Alzheimer's Disease (AD) is a neurodegenerative disorder marked by cognitive and functional decline. Biological sex has been linked to differences in lifetime AD risk, AD-related neuropathology, and the rate of cognitive decline, although the underlying biological mechanisms driving these disparities remain unclear. Epigenetic Age Acceleration-a metric derived from epigenetic aging clocks-has been associated with numerous aging-related conditions such as AD. Although there is promise in using Epigenetic age acceleration as a biomarker for several aging related diseases, the underlying mechanism that aging clocks are actually predicting is not well understood. In this study, we used data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) to examine how sex influences the relationship between age acceleration and cognitive performance as well as brain volume. Our findings suggest that, although epigenetic age acceleration can predict changes in brain structure, these changes don't appear to be different across sexes. Future research should focus on validating these findings in an external cohort and exploring them longitudinally.
Source: PubMed
Authors: Travyse A Edwards, Tianhua Zhai, Kwangsik Nho, Andrew J Saykin, Qi Long, Li Shen
Institutions: University of Pennsylvania, Indiana University Indianapolis
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: Alzheimer's Disease Neuroimaging Initiative, Advancing Analysis of Multi-omics Data in Alzheimer's Disease Research, Translational big data analytic approaches to advance drug repurposing for Alzheimer's disease, Centrally-linked longitudinal peripheral biomarkers of AD in multi-ethnic populations, Artificial Intelligence Strategies for Alzheimer's Disease Research, Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease Biobanks
OpenAlex ID: W4411256854
