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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2021-09-01
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Series: | Gerontology and Geriatric Medicine |
Online Access: | https://doi.org/10.1177/23337214211046419 |
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doaj-44ea2b5ff60142a6bde15c03ea404c892021-09-26T21:33:21ZengSAGE PublishingGerontology and Geriatric Medicine2333-72142021-09-01710.1177/23337214211046419Predictors of Biological Age: The Implications for Wellness and Aging ResearchTrevor LohmanGurinder BainsLee BerkEverett LohmanAs 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.https://doi.org/10.1177/23337214211046419 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Trevor Lohman Gurinder Bains Lee Berk Everett Lohman |
spellingShingle |
Trevor Lohman Gurinder Bains Lee Berk Everett Lohman Predictors of Biological Age: The Implications for Wellness and Aging Research Gerontology and Geriatric Medicine |
author_facet |
Trevor Lohman Gurinder Bains Lee Berk Everett Lohman |
author_sort |
Trevor Lohman |
title |
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_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_sort |
predictors of biological age: the implications for wellness and aging research |
publisher |
SAGE Publishing |
series |
Gerontology and Geriatric Medicine |
issn |
2333-7214 |
publishDate |
2021-09-01 |
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. |
url |
https://doi.org/10.1177/23337214211046419 |
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1716867537049747456 |