Pan-Epigenetic Age Prediction in Mammals.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 41591870.
- Also identified by DOI 10.1111/acel.70380 and PMC identifier 12841597.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Epigenetic remodeling is a hallmark of aging, yet which epigenetic layers are most affected during aging-and the extent to which they are interrelated-is not well understood. Here, we perform a comprehensive analysis of epigenetic aging encompassing 6 histone marks and DNA methylation measured across 12 tissues from > 1000 humans and mice. We identify a synchronized pattern of age-related changes across these epigenetic layers, with all changes converging upon a common set of genes. Notably, an epigenetic clock based on these genes can accurately predict age using data from any layer (Spearman ρ: 0.70 in humans, 0.81 in mice). Applying this "pan-epigenetic" clock, we observe that histone modification and DNA methylation profiles agree in the prediction of which individuals are aging more rapidly or slowly. These results demonstrate that epigenetic modifications are subject to coordinated remodeling over the lifespan, offering a unified view of epigenetic aging.
Medical subject headings
- Epigenesis, Genetic
- Aging
- Mammals