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Predictors of Biological Age: The Implications for Wellness and Aging Research
As healthspan and lifespan research breakthroughs have become more commonplace, the need for valid, practical markers of biological age is becoming increasingly paramount. The accessibility and affordability of biological age predictors that can reveal information about mortality and morbidity risk,...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477681/ https://www.ncbi.nlm.nih.gov/pubmed/34595331 http://dx.doi.org/10.1177/23337214211046419 |
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author | Lohman, Trevor Bains, Gurinder Berk, Lee Lohman, Everett |
author_facet | Lohman, Trevor Bains, Gurinder Berk, Lee Lohman, Everett |
author_sort | Lohman, Trevor |
collection | PubMed |
description | As healthspan and lifespan research breakthroughs have become more commonplace, the need for valid, practical markers of biological age is becoming increasingly paramount. The accessibility and affordability of biological age predictors that can reveal information about mortality and morbidity risk, as well as remaining years of life, has profound clinical and research implications. In this review, we examine 5 groups of aging biomarkers capable of providing accurate biological age estimations. The unique capabilities of these biomarkers have far reaching implications for the testing of both pharmaceutical and non-pharmaceutical interventions designed to slow or reverse biological aging. Additionally, the enhanced validity and availability of these tools may have increasingly relevant clinical value. The authors of this review explore those implications, with an emphasis on lifestyle modification research, and provide an overview of the current evidence regarding 5 biological age predictor categories: Telomere length, composite biomarkers, DNA methylation “epigenetic clocks,” transcriptional predictors of biological age, and functional age predictors. |
format | Online Article Text |
id | pubmed-8477681 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-84776812021-09-29 Predictors of Biological Age: The Implications for Wellness and Aging Research Lohman, Trevor Bains, Gurinder Berk, Lee Lohman, Everett Gerontol Geriatr Med Review Article As healthspan and lifespan research breakthroughs have become more commonplace, the need for valid, practical markers of biological age is becoming increasingly paramount. The accessibility and affordability of biological age predictors that can reveal information about mortality and morbidity risk, as well as remaining years of life, has profound clinical and research implications. In this review, we examine 5 groups of aging biomarkers capable of providing accurate biological age estimations. The unique capabilities of these biomarkers have far reaching implications for the testing of both pharmaceutical and non-pharmaceutical interventions designed to slow or reverse biological aging. Additionally, the enhanced validity and availability of these tools may have increasingly relevant clinical value. The authors of this review explore those implications, with an emphasis on lifestyle modification research, and provide an overview of the current evidence regarding 5 biological age predictor categories: Telomere length, composite biomarkers, DNA methylation “epigenetic clocks,” transcriptional predictors of biological age, and functional age predictors. SAGE Publications 2021-09-26 /pmc/articles/PMC8477681/ /pubmed/34595331 http://dx.doi.org/10.1177/23337214211046419 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Review Article Lohman, Trevor Bains, Gurinder Berk, Lee Lohman, Everett Predictors of Biological Age: The Implications for Wellness and Aging Research |
title | Predictors of Biological Age: The Implications for Wellness and Aging Research |
title_full | Predictors of Biological Age: The Implications for Wellness and Aging Research |
title_fullStr | Predictors of Biological Age: The Implications for Wellness and Aging Research |
title_full_unstemmed | Predictors of Biological Age: The Implications for Wellness and Aging Research |
title_short | Predictors of Biological Age: The Implications for Wellness and Aging Research |
title_sort | predictors of biological age: the implications for wellness and aging research |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477681/ https://www.ncbi.nlm.nih.gov/pubmed/34595331 http://dx.doi.org/10.1177/23337214211046419 |
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