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Published on: September 7, 2017
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Nonlinear DNA methylation trajectories in aging male mice
Maja Olecka1, Alena van Bömmel1, Lena Best2
1Hoffmann Lab, Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), Beutenbergstrasse 11, 07745, Jena, Germany.
Nature Communications
|April 9, 2024
Summary
This study reveals distinct DNA methylation shifts during aging in mice, identifying key "epigenomic switches." A novel classifier, STageR, accurately predicts epigenetic age stages using these dynamics.
Area of Science:
- Epigenetics
- Genomics
- Aging Research
Background:
- DNA methylation is a key biomarker for predicting age.
- The dynamic changes of DNA methylation throughout lifespan are not well understood.
Purpose of the Study:
- To investigate DNA methylation trajectories in male mouse colon across different aging stages.
- To identify critical periods of epigenetic change and develop a predictive aging clock.
Main Methods:
- Analysis of DNA methylation patterns in mouse colon at five distinct aging time points.
- Development of a classifier (STageR) based on nonlinearly modified loci.
- Validation of the classifier in independent cohorts and public datasets.
Main Results:
- Identification of two significant epigenomic switches during early-to-midlife (3-9 months) and mid-to-late-life (15-24 months).
- These nonlinear methylation dynamics primarily impact nervous system genes and bivalently marked chromatin.
- The developed STageR classifier accurately predicts epigenetic aging stages in mice.
Conclusions:
- Epigenetic aging is characterized by nonlinear dynamics and distinct switching points.
- STageR provides a robust tool for assessing epigenetic age in mice.
- Understanding these dynamics offers insights into the aging process and potential therapeutic targets.
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