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DNA Methylation Age and Physical and Cognitive Aging
BACKGROUND: DNA methylation (DNAm) age acceleration (AgeAccel) has been shown to be predictive of all-cause mortality but it is unclear what functional aspect(s) of aging it captures. We examine associations between four measures of AgeAccel in adults aged 45–87 years and physical and cognitive perf...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8414926/ https://www.ncbi.nlm.nih.gov/pubmed/31630156 http://dx.doi.org/10.1093/gerona/glz246 |
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author | Maddock, Jane Castillo-Fernandez, Juan Wong, Andrew Cooper, Rachel Richards, Marcus Ong, Ken K Ploubidis, George B Goodman, Alissa Kuh, Diana Bell, Jordana T Hardy, Rebecca |
author_facet | Maddock, Jane Castillo-Fernandez, Juan Wong, Andrew Cooper, Rachel Richards, Marcus Ong, Ken K Ploubidis, George B Goodman, Alissa Kuh, Diana Bell, Jordana T Hardy, Rebecca |
author_sort | Maddock, Jane |
collection | PubMed |
description | BACKGROUND: DNA methylation (DNAm) age acceleration (AgeAccel) has been shown to be predictive of all-cause mortality but it is unclear what functional aspect(s) of aging it captures. We examine associations between four measures of AgeAccel in adults aged 45–87 years and physical and cognitive performance and their age-related decline. METHODS: AgeAccelHannum, AgeAccelHorvath, AgeAccelPheno, and AgeAccelGrim were calculated in the Medical Research Council National Survey of Health and Development (NSHD), National Child Development Study (NCDS) and TwinsUK. Three measures of physical (grip strength, chair rise speed, and forced expiratory volume in one second [FEV(1)]) and two measures of cognitive (episodic memory and mental speed) performance were assessed. RESULTS: AgeAccelPheno and AgeAccelGrim, but not AgeAccelHannum and AgeAccelHorvath were related to performance in random effects meta-analyses (n = 1,388–1,685). For example, a 1-year increase in AgeAccelPheno or AgeAccelGrim was associated with a 0.01 mL (95% confidence interval [CI]: 0.01, 0.02) or 0.03 mL (95% CI: 0.01, 0.05) lower mean FEV(1) respectively. In NSHD, AgeAccelPheno and AgeAccelGrim at 53 years were associated with age-related decline in performance between 53 and 69 years as tested by linear mixed models (p < .05). In a subset of NSHD participants (n = 482), there was little evidence that change in any AgeAccel measure was associated with change in performance conditional on baseline performance. CONCLUSIONS: We found little evidence to support associations between the first generation of DNAm-based biomarkers of aging and age-related physical or cognitive performance in midlife to early old age. However, there was evidence that the second generation biomarkers, AgeAccelPheno and AgeAccelGrim, could act as makers of an individual’s healthspan as proposed. |
format | Online Article Text |
id | pubmed-8414926 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-84149262021-09-09 DNA Methylation Age and Physical and Cognitive Aging Maddock, Jane Castillo-Fernandez, Juan Wong, Andrew Cooper, Rachel Richards, Marcus Ong, Ken K Ploubidis, George B Goodman, Alissa Kuh, Diana Bell, Jordana T Hardy, Rebecca J Gerontol A Biol Sci Med Sci THE JOURNAL OF GERONTOLOGY: Translational Section: DNA Methylation and Aging BACKGROUND: DNA methylation (DNAm) age acceleration (AgeAccel) has been shown to be predictive of all-cause mortality but it is unclear what functional aspect(s) of aging it captures. We examine associations between four measures of AgeAccel in adults aged 45–87 years and physical and cognitive performance and their age-related decline. METHODS: AgeAccelHannum, AgeAccelHorvath, AgeAccelPheno, and AgeAccelGrim were calculated in the Medical Research Council National Survey of Health and Development (NSHD), National Child Development Study (NCDS) and TwinsUK. Three measures of physical (grip strength, chair rise speed, and forced expiratory volume in one second [FEV(1)]) and two measures of cognitive (episodic memory and mental speed) performance were assessed. RESULTS: AgeAccelPheno and AgeAccelGrim, but not AgeAccelHannum and AgeAccelHorvath were related to performance in random effects meta-analyses (n = 1,388–1,685). For example, a 1-year increase in AgeAccelPheno or AgeAccelGrim was associated with a 0.01 mL (95% confidence interval [CI]: 0.01, 0.02) or 0.03 mL (95% CI: 0.01, 0.05) lower mean FEV(1) respectively. In NSHD, AgeAccelPheno and AgeAccelGrim at 53 years were associated with age-related decline in performance between 53 and 69 years as tested by linear mixed models (p < .05). In a subset of NSHD participants (n = 482), there was little evidence that change in any AgeAccel measure was associated with change in performance conditional on baseline performance. CONCLUSIONS: We found little evidence to support associations between the first generation of DNAm-based biomarkers of aging and age-related physical or cognitive performance in midlife to early old age. However, there was evidence that the second generation biomarkers, AgeAccelPheno and AgeAccelGrim, could act as makers of an individual’s healthspan as proposed. Oxford University Press 2019-10-20 /pmc/articles/PMC8414926/ /pubmed/31630156 http://dx.doi.org/10.1093/gerona/glz246 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of The Gerontological Society of America. https://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/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | THE JOURNAL OF GERONTOLOGY: Translational Section: DNA Methylation and Aging Maddock, Jane Castillo-Fernandez, Juan Wong, Andrew Cooper, Rachel Richards, Marcus Ong, Ken K Ploubidis, George B Goodman, Alissa Kuh, Diana Bell, Jordana T Hardy, Rebecca DNA Methylation Age and Physical and Cognitive Aging |
title | DNA Methylation Age and Physical and Cognitive Aging |
title_full | DNA Methylation Age and Physical and Cognitive Aging |
title_fullStr | DNA Methylation Age and Physical and Cognitive Aging |
title_full_unstemmed | DNA Methylation Age and Physical and Cognitive Aging |
title_short | DNA Methylation Age and Physical and Cognitive Aging |
title_sort | dna methylation age and physical and cognitive aging |
topic | THE JOURNAL OF GERONTOLOGY: Translational Section: DNA Methylation and Aging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8414926/ https://www.ncbi.nlm.nih.gov/pubmed/31630156 http://dx.doi.org/10.1093/gerona/glz246 |
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