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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,...

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Detalles Bibliográficos
Autores principales: Lohman, Trevor, Bains, Gurinder, Berk, Lee, Lohman, Everett
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
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.
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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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