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Frailty and Biological Age

A reliable model of biological age is instrumental in the field of geriatrics and gerontology. This model should account for the heterogeneity and plasticity of aging and also accurately predict aging-related adverse outcomes. Epigenetic age models are based on DNA methylation levels at selected gen...

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Detalles Bibliográficos
Autores principales: Ji, Lixin, Jazwinski, S. Michal, Kim, Sangkyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Geriatrics Society 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8497950/
https://www.ncbi.nlm.nih.gov/pubmed/34399574
http://dx.doi.org/10.4235/agmr.21.0080
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author Ji, Lixin
Jazwinski, S. Michal
Kim, Sangkyu
author_facet Ji, Lixin
Jazwinski, S. Michal
Kim, Sangkyu
author_sort Ji, Lixin
collection PubMed
description A reliable model of biological age is instrumental in the field of geriatrics and gerontology. This model should account for the heterogeneity and plasticity of aging and also accurately predict aging-related adverse outcomes. Epigenetic age models are based on DNA methylation levels at selected genomic sites and can be significant predictors of mortality and healthy/unhealthy aging. However, the biological function of DNA methylation at selected sites is yet to be determined. Frailty is a syndrome resulting from decreased physiological reserves and resilience. The frailty index is a probability-based extension of the concept of frailty. Defined as the proportion of health deficits, the frailty index quantifies the progression of unhealthy aging. The frailty index is currently the best predictor of mortality. It is associated with various biological factors and provides insight into the biological processes of aging. Investigation of the multi-omics factors associated with the frailty index will provide further insight.
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spelling pubmed-84979502021-10-19 Frailty and Biological Age Ji, Lixin Jazwinski, S. Michal Kim, Sangkyu Ann Geriatr Med Res Review Article A reliable model of biological age is instrumental in the field of geriatrics and gerontology. This model should account for the heterogeneity and plasticity of aging and also accurately predict aging-related adverse outcomes. Epigenetic age models are based on DNA methylation levels at selected genomic sites and can be significant predictors of mortality and healthy/unhealthy aging. However, the biological function of DNA methylation at selected sites is yet to be determined. Frailty is a syndrome resulting from decreased physiological reserves and resilience. The frailty index is a probability-based extension of the concept of frailty. Defined as the proportion of health deficits, the frailty index quantifies the progression of unhealthy aging. The frailty index is currently the best predictor of mortality. It is associated with various biological factors and provides insight into the biological processes of aging. Investigation of the multi-omics factors associated with the frailty index will provide further insight. Korean Geriatrics Society 2021-09 2021-08-17 /pmc/articles/PMC8497950/ /pubmed/34399574 http://dx.doi.org/10.4235/agmr.21.0080 Text en Copyright © 2021 Korean Geriatrics Society https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Ji, Lixin
Jazwinski, S. Michal
Kim, Sangkyu
Frailty and Biological Age
title Frailty and Biological Age
title_full Frailty and Biological Age
title_fullStr Frailty and Biological Age
title_full_unstemmed Frailty and Biological Age
title_short Frailty and Biological Age
title_sort frailty and biological age
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8497950/
https://www.ncbi.nlm.nih.gov/pubmed/34399574
http://dx.doi.org/10.4235/agmr.21.0080
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