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Aging Epigenetics: Accumulation of Errors or Realization of a Specific Program?

V V Ashapkin1, L I Kutueva, B F Vanyushin

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Summary

Aging causes DNA hypomethylation, especially in repetitive DNA sequences. Specific DNA methylation patterns correlate with age, offering potential biomarkers for biological age prediction.

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Area of Science:

  • Epigenetics
  • Genomics
  • Mammalian Aging

Background:

  • Aging is characterized by progressive DNA hypomethylation in mammals.
  • This DNA methylation loss is tissue-specific and affects repetitive elements and intergenic regions.
  • Reduced DNA methyltransferase activity may contribute to age-dependent hypomethylation.

Purpose of the Study:

  • To investigate age-related changes in DNA methylation patterns.
  • To explore the potential of DNA methylation as a biomarker for biological age.
  • To understand the genome-wide distribution of age-dependent methylation changes.

Main Methods:

  • Analysis of DNA methylation levels across the genome in aging mammals.
  • Correlation of methylation status with age at specific genomic loci.
  • Assessment of epigenetic cell reprogramming effects on DNA methylation.

Main Results:

  • Global DNA hypomethylation occurs during aging, particularly in repetitive sequences and intergenic regions.
  • Age-dependent hypermethylation is observed in genes with promoter CG islands.
  • Hypomethylation predominantly affects CG-poor genes.
  • Specific CpG sites show strong age correlation, serving as potential biomarkers.
  • Epigenetic reprogramming resets epigenetic age.

Conclusions:

  • DNA methylation patterns change significantly with age in mammals.
  • Specific methylation sites can predict biological age.
  • Epigenetic reprogramming can reverse age-related methylation changes.