Multiomic profiling reveals timing of menopause predicts prefrontal cortex aging and cognitive function.

ABSTRACT: A new case of dementia is diagnosed every 3 s. Beyond age, risk prediction of dementia is challenging. There is growing evidence of underlying processes that connect aging across organ systems and may provide insight for early detection, and there is a need to identify early biomarkers at an age when action can be taken to mitigate cognitive decline. We hypothesized that timing of menopause, a marker of ovarian aging, predicts brain age decades later. We used 2086 subjects with multiple "omics" measurements from post-mortem brain samples. Age at menopause (AAM) is positively correlated with cognitive function and negatively correlated with pre-frontal cortex aging acceleration (calculated as estimated biological age from DNA methylation minus chronological age). Genetic correlations showed

SUBMITTER: Gunter-Rahman F 

PROVIDER: S-EPMC11822667 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature