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Aging Clocks
While chronological age is arguably the strongest risk factor for death, disease, and disability, same-aged individuals remain heterogeneous in their susceptibilities to these various outcomes. One explanation is that chronological age is an imperfect proxy of the degree of biological aging an indiv...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Oxford University Press
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7742524/ http://dx.doi.org/10.1093/geroni/igaa057.2982 |
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author | Levine, Morgan |
author_facet | Levine, Morgan |
author_sort | Levine, Morgan |
collection | PubMed |
description | While chronological age is arguably the strongest risk factor for death, disease, and disability, same-aged individuals remain heterogeneous in their susceptibilities to these various outcomes. One explanation is that chronological age is an imperfect proxy of the degree of biological aging an individual has undergone. Thus, defining measurable estimates of ‘biological age’ (in contrast to chronological age) has become a major initiative in Geroscience research. Such biomarkers of aging, or ‘aging clocks’ will 1) help identify underlying mechanisms of aging, 2) enable identification of at-risk individuals prior to disease onset, and 3) provide outcomes to assess efficacy of interventions. In this session, I will describe the various aging clocks, how they were developed, and what they track. I will also describe how aging clocks can facilitate research both within and outside of the biological sciences. |
format | Online Article Text |
id | pubmed-7742524 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77425242020-12-21 Aging Clocks Levine, Morgan Innov Aging Abstracts While chronological age is arguably the strongest risk factor for death, disease, and disability, same-aged individuals remain heterogeneous in their susceptibilities to these various outcomes. One explanation is that chronological age is an imperfect proxy of the degree of biological aging an individual has undergone. Thus, defining measurable estimates of ‘biological age’ (in contrast to chronological age) has become a major initiative in Geroscience research. Such biomarkers of aging, or ‘aging clocks’ will 1) help identify underlying mechanisms of aging, 2) enable identification of at-risk individuals prior to disease onset, and 3) provide outcomes to assess efficacy of interventions. In this session, I will describe the various aging clocks, how they were developed, and what they track. I will also describe how aging clocks can facilitate research both within and outside of the biological sciences. Oxford University Press 2020-12-16 /pmc/articles/PMC7742524/ http://dx.doi.org/10.1093/geroni/igaa057.2982 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstracts Levine, Morgan Aging Clocks |
title | Aging Clocks |
title_full | Aging Clocks |
title_fullStr | Aging Clocks |
title_full_unstemmed | Aging Clocks |
title_short | Aging Clocks |
title_sort | aging clocks |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7742524/ http://dx.doi.org/10.1093/geroni/igaa057.2982 |
work_keys_str_mv | AT levinemorgan agingclocks |