Counteracting aged DNA methylation states to combat ageing and age-related diseases.


Journal

Mechanisms of ageing and development
ISSN: 1872-6216
Titre abrégé: Mech Ageing Dev
Pays: Ireland
ID NLM: 0347227

Informations de publication

Date de publication:
09 2022
Historique:
received: 26 02 2022
revised: 09 06 2022
accepted: 22 06 2022
pubmed: 28 6 2022
medline: 10 8 2022
entrez: 27 6 2022
Statut: ppublish

Résumé

DNA methylation (DNAm) overwrites information about multiple extrinsic factors on the genome. Age is one of these factors. Age causes characteristic DNAm changes that are thought to be not only major drivers of normal ageing but also precursors to diseases, cancer being one of these. Although there is still much to learn about the relationship between ageing, age-related diseases and DNAm, we now know how to interpret some of the effects caused by age in the form of changes in methylation marks at specific loci. In fact, these changes form the basis of the so called "epigenetic clocks", which translate the genomic methylation profile into an "epigenetic age". Epigenetic age does not only estimate chronological age but can also predict the risk of chronic diseases and mortality. Epigenetic age is believed to be one of the most accurate metrics of biological age. Initial evidence has recently been gathered pointing to the possibility that the rate of epigenetic ageing can be slowed down or even reversed. In this review, we discuss some of the most relevant advances in this field. Expected outcome is that this approach can provide insights into how to preserve health and reduce the impact of ageing diseases in humans.

Identifiants

pubmed: 35760211
pii: S0047-6374(22)00077-X
doi: 10.1016/j.mad.2022.111695
pii:
doi:

Types de publication

Journal Article Review Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

111695

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.

Auteurs

Anna Reale (A)

Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy. Electronic address: anna.reale@uniroma1.it.

Stefano Tagliatesta (S)

Department of Biology and Biotechnology "Charles Darwin", Sapienza University of Rome, 00161 Rome, Italy. Electronic address: stefano.tagliatesta@uniroma1.it.

Giuseppe Zardo (G)

Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy. Electronic address: giuseppe.zardo@uniroma1.it.

Michele Zampieri (M)

Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy. Electronic address: michele.zampieri@uniroma1.it.

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Classifications MeSH