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EPIGENETIC PREDICTORS OF LIFESPAN AND HEALTHSPAN

Capturing aspects of biological age, DNA methylation based biomarkers collectively known as "epigenetic clock" can be used to measure the age of any human tissue, cell type, or fluid that contains DNA. Arguably the strongest predictor of lifespan, DNAmGrimAge, is a composite biomarker comp...

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Detalles Bibliográficos
Autores principales: Lu, Ake T, Horvath, Steve
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6840956/
http://dx.doi.org/10.1093/geroni/igz038.130
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author Lu, Ake T
Horvath, Steve
author_facet Lu, Ake T
Horvath, Steve
author_sort Lu, Ake T
collection PubMed
description Capturing aspects of biological age, DNA methylation based biomarkers collectively known as "epigenetic clock" can be used to measure the age of any human tissue, cell type, or fluid that contains DNA. Arguably the strongest predictor of lifespan, DNAmGrimAge, is a composite biomarker comprised of DNAm-based surrogates of plasma proteins and a DNAm-based estimate of smoking pack-years. Large-scale validation studies demonstrate that DNAmGrimAge stands out among existing epigenetic clocks when it comes to predicting time-to-death (P=2.0E-75), time-to-coronary heart disease (P=6.2E-24), and its strong relationship with computed tomography measures of fatty liver, and age-at-menopause (P=1.6E-12). DNAm-based estimates of plasma proteins and telomere length (TL) are attractive as well. For example, a DNAm based estimate of Plasminogen Activator Inhibitor 1 strongly relates to multi-morbidity and a DNAm based estimate of TL outperforms actual TL measurements in predicting lifespan. Overall, these epigenetic biomarkers are expected to find many applications including human anti-aging studies.
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spelling pubmed-68409562019-11-15 EPIGENETIC PREDICTORS OF LIFESPAN AND HEALTHSPAN Lu, Ake T Horvath, Steve Innov Aging Session 625 (Symposium) Capturing aspects of biological age, DNA methylation based biomarkers collectively known as "epigenetic clock" can be used to measure the age of any human tissue, cell type, or fluid that contains DNA. Arguably the strongest predictor of lifespan, DNAmGrimAge, is a composite biomarker comprised of DNAm-based surrogates of plasma proteins and a DNAm-based estimate of smoking pack-years. Large-scale validation studies demonstrate that DNAmGrimAge stands out among existing epigenetic clocks when it comes to predicting time-to-death (P=2.0E-75), time-to-coronary heart disease (P=6.2E-24), and its strong relationship with computed tomography measures of fatty liver, and age-at-menopause (P=1.6E-12). DNAm-based estimates of plasma proteins and telomere length (TL) are attractive as well. For example, a DNAm based estimate of Plasminogen Activator Inhibitor 1 strongly relates to multi-morbidity and a DNAm based estimate of TL outperforms actual TL measurements in predicting lifespan. Overall, these epigenetic biomarkers are expected to find many applications including human anti-aging studies. Oxford University Press 2019-11-08 /pmc/articles/PMC6840956/ http://dx.doi.org/10.1093/geroni/igz038.130 Text en © The Author(s) 2019. 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 Session 625 (Symposium)
Lu, Ake T
Horvath, Steve
EPIGENETIC PREDICTORS OF LIFESPAN AND HEALTHSPAN
title EPIGENETIC PREDICTORS OF LIFESPAN AND HEALTHSPAN
title_full EPIGENETIC PREDICTORS OF LIFESPAN AND HEALTHSPAN
title_fullStr EPIGENETIC PREDICTORS OF LIFESPAN AND HEALTHSPAN
title_full_unstemmed EPIGENETIC PREDICTORS OF LIFESPAN AND HEALTHSPAN
title_short EPIGENETIC PREDICTORS OF LIFESPAN AND HEALTHSPAN
title_sort epigenetic predictors of lifespan and healthspan
topic Session 625 (Symposium)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6840956/
http://dx.doi.org/10.1093/geroni/igz038.130
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