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Dynamic DNA Methylation During Aging: A “Prophet” of Age-Related Outcomes
The biological markers of aging used to predict physical health status in older people are of great interest. Telomere shortening, which occurs during the process of cell replication, was initially considered a promising biomarker for the prediction of age and age-related outcomes (e.g., diseases, l...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387955/ https://www.ncbi.nlm.nih.gov/pubmed/30833961 http://dx.doi.org/10.3389/fgene.2019.00107 |
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author | Xiao, Fu-Hui Wang, Hao-Tian Kong, Qing-Peng |
author_facet | Xiao, Fu-Hui Wang, Hao-Tian Kong, Qing-Peng |
author_sort | Xiao, Fu-Hui |
collection | PubMed |
description | The biological markers of aging used to predict physical health status in older people are of great interest. Telomere shortening, which occurs during the process of cell replication, was initially considered a promising biomarker for the prediction of age and age-related outcomes (e.g., diseases, longevity). However, the high instability in detection and low correlation with age-related outcomes limit the extension of telomere length to the field of prediction. Currently, a growing number of studies have shown that dynamic DNA methylation throughout human lifetime exhibits strong correlation with age and age-related outcomes. Indeed, many researchers have built age prediction models with high accuracy based on age-dependent methylation changes in certain CpG loci. For now, DNA methylation based on epigenetic clocks, namely epigenetic or DNA methylation age, serves as a new standard to track chronological age and predict biological age. Measures of age acceleration (Δage, DNA methylation age – chronological age) have been developed to assess the health status of a person. In addition, there is evidence that an accelerated epigenetic age exists in patients with certain age-related diseases (e.g., Alzheimer’s disease, cardiovascular disease). In this review, we provide an overview of the dynamic signatures of DNA methylation during aging and emphasize its practical utility in the prediction of various age-related outcomes. |
format | Online Article Text |
id | pubmed-6387955 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63879552019-03-04 Dynamic DNA Methylation During Aging: A “Prophet” of Age-Related Outcomes Xiao, Fu-Hui Wang, Hao-Tian Kong, Qing-Peng Front Genet Genetics The biological markers of aging used to predict physical health status in older people are of great interest. Telomere shortening, which occurs during the process of cell replication, was initially considered a promising biomarker for the prediction of age and age-related outcomes (e.g., diseases, longevity). However, the high instability in detection and low correlation with age-related outcomes limit the extension of telomere length to the field of prediction. Currently, a growing number of studies have shown that dynamic DNA methylation throughout human lifetime exhibits strong correlation with age and age-related outcomes. Indeed, many researchers have built age prediction models with high accuracy based on age-dependent methylation changes in certain CpG loci. For now, DNA methylation based on epigenetic clocks, namely epigenetic or DNA methylation age, serves as a new standard to track chronological age and predict biological age. Measures of age acceleration (Δage, DNA methylation age – chronological age) have been developed to assess the health status of a person. In addition, there is evidence that an accelerated epigenetic age exists in patients with certain age-related diseases (e.g., Alzheimer’s disease, cardiovascular disease). In this review, we provide an overview of the dynamic signatures of DNA methylation during aging and emphasize its practical utility in the prediction of various age-related outcomes. Frontiers Media S.A. 2019-02-18 /pmc/articles/PMC6387955/ /pubmed/30833961 http://dx.doi.org/10.3389/fgene.2019.00107 Text en Copyright © 2019 Xiao, Wang and Kong. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Xiao, Fu-Hui Wang, Hao-Tian Kong, Qing-Peng Dynamic DNA Methylation During Aging: A “Prophet” of Age-Related Outcomes |
title | Dynamic DNA Methylation During Aging: A “Prophet” of Age-Related Outcomes |
title_full | Dynamic DNA Methylation During Aging: A “Prophet” of Age-Related Outcomes |
title_fullStr | Dynamic DNA Methylation During Aging: A “Prophet” of Age-Related Outcomes |
title_full_unstemmed | Dynamic DNA Methylation During Aging: A “Prophet” of Age-Related Outcomes |
title_short | Dynamic DNA Methylation During Aging: A “Prophet” of Age-Related Outcomes |
title_sort | dynamic dna methylation during aging: a “prophet” of age-related outcomes |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387955/ https://www.ncbi.nlm.nih.gov/pubmed/30833961 http://dx.doi.org/10.3389/fgene.2019.00107 |
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