Cargando…
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...
Autores principales: | , |
---|---|
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 |
_version_ | 1783467760245800960 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6840956 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT luaket epigeneticpredictorsoflifespanandhealthspan AT horvathsteve epigeneticpredictorsoflifespanandhealthspan |