DNA Methylation Age and Physical and Cognitive Aging

Abstract 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 [FEV1]) 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 FEV1 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.

[1]  Alex P. Reiner,et al.  DNA methylation GrimAge strongly predicts lifespan and healthspan , 2019, Aging.

[2]  D. Kuh,et al.  Childhood Cognition and Age-Related Change in Standing Balance Performance From Mid to Later Life: Findings From a British Birth Cohort , 2018, The journals of gerontology. Series A, Biological sciences and medical sciences.

[3]  J. Mill,et al.  Socioeconomic Position and DNA Methylation Age Acceleration Across the Life Course , 2018, American journal of epidemiology.

[4]  D. Kuh,et al.  Developmental factors associated with decline in grip strength from midlife to old age: a British birth cohort study , 2018, BMJ Open.

[5]  S. Horvath,et al.  DNA methylation-based biomarkers and the epigenetic clock theory of ageing , 2018, Nature Reviews Genetics.

[6]  J. Kaprio,et al.  Biological clocks and physical functioning in monozygotic female twins , 2018, BMC Geriatrics.

[7]  S. Horvath,et al.  Tracking the Epigenetic Clock Across the Human Life Course: A Meta-analysis of Longitudinal Cohort Data , 2018, The journals of gerontology. Series A, Biological sciences and medical sciences.

[8]  M. Levine,et al.  An epigenetic biomarker of aging for lifespan and healthspan , 2018, bioRxiv.

[9]  D. English,et al.  Association of DNA Methylation-Based Biological Age With Health Risk Factors and Overall and Cause-Specific Mortality , 2018, American journal of epidemiology.

[10]  R. Hardy,et al.  Decline in Search Speed and Verbal Memory Over 26 Years of Midlife in a British Birth Cohort , 2017, Neuroepidemiology.

[11]  Richie Poulton,et al.  Eleven Telomere, Epigenetic Clock, and Biomarker-Composite Quantifications of Biological Aging: Do They Measure the Same Thing? , 2017, American journal of epidemiology.

[12]  J. Wedzicha,et al.  Combined Impact of Smoking and Early‐Life Exposures on Adult Lung Function Trajectories , 2017, American journal of respiratory and critical care medicine.

[13]  A. Teschendorff,et al.  Are objective measures of physical capability related to accelerated epigenetic age? Findings from a British birth cohort , 2017, BMJ Open.

[14]  Nancy L. Pedersen,et al.  Biological Age Predictors , 2017, EBioMedicine.

[15]  L. Christiansen,et al.  Blood DNA methylation age is not associated with cognitive functioning in middle-aged monozygotic twins , 2017, Neurobiology of Aging.

[16]  David M. Evans,et al.  Collider scope: when selection bias can substantially influence observed associations , 2016, bioRxiv.

[17]  M. Levine,et al.  DNA methylation-based measures of biological age: meta-analysis predicting time to death , 2016, Aging.

[18]  Christina M. Wolfson,et al.  A Life Course Approach to Healthy Ageing. , 2016, International journal of epidemiology.

[19]  H. Brenner,et al.  Epigenetic age acceleration predicts cancer, cardiovascular, and all-cause mortality in a German case cohort , 2016, Clinical Epigenetics.

[20]  D. Kuh,et al.  Associations of behavioural risk factors and health status with changes in physical capability over 10 years of follow-up: the MRC National Survey of Health and Development , 2016, BMJ Open.

[21]  E. Colicino,et al.  Blood Epigenetic Age may Predict Cancer Incidence and Mortality , 2016, EBioMedicine.

[22]  Liang Niu,et al.  ENmix: a novel background correction method for Illumina HumanMethylation450 BeadChip , 2015, Nucleic acids research.

[23]  I. Deary,et al.  A proposed panel of biomarkers of healthy ageing , 2015, BMC Medicine.

[24]  D. Belsky,et al.  Quantification of biological aging in young adults , 2015, Proceedings of the National Academy of Sciences.

[25]  M. Kobor,et al.  DNA methylation and healthy human aging , 2015, Aging cell.

[26]  Gretchen A. Stevens,et al.  Causes of international increases in older age life expectancy , 2015, The Lancet.

[27]  S. Horvath,et al.  DNA methylation age of blood predicts all-cause mortality in later life , 2015, Genome Biology.

[28]  Steve Horvath,et al.  The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936 , 2015, International journal of epidemiology.

[29]  S Jay Olshansky,et al.  Heterogeneity in healthy aging. , 2014, The journals of gerontology. Series A, Biological sciences and medical sciences.

[30]  S. Horvath DNA methylation age of human tissues and cell types , 2013, Genome Biology.

[31]  L. Partridge,et al.  The Hallmarks of Aging , 2013, Cell.

[32]  T. Ideker,et al.  Genome-wide methylation profiles reveal quantitative views of human aging rates. , 2013, Molecular cell.

[33]  Devin C. Koestler,et al.  DNA methylation arrays as surrogate measures of cell mixture distribution , 2012, BMC Bioinformatics.

[34]  Robin M. Murray,et al.  Epigenome-Wide Scans Identify Differentially Methylated Regions for Age and Age-Related Phenotypes in a Healthy Ageing Population , 2012, PLoS genetics.

[35]  Steve Horvath,et al.  Epigenetic Predictor of Age , 2011, PloS one.

[36]  Marcus Richards,et al.  Cohort Profile: Updating the cohort profile for the MRC National Survey of Health and Development: a new clinic-based data collection for ageing research , 2011, International journal of epidemiology.

[37]  D. Kuh,et al.  Cohort Profile: The 1946 National Birth Cohort (MRC National Survey of Health and Development). , 2006, International journal of epidemiology.

[38]  C. Power,et al.  Cohort profile: 1958 British birth cohort (National Child Development Study). , 2006, International journal of epidemiology.

[39]  J. Vaupel,et al.  University of Southern Denmark DNA methylation age is associated with mortality in a longitudinal Danish twin study , 2015 .

[40]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[41]  Alireza Moayyeri,et al.  COHORT PROFILE Cohort Profile : TwinsUK and Healthy Ageing Twin Study , 2013 .

[42]  Hiram Beltrán-Sánchez,et al.  Mortality and morbidity trends: is there compression of morbidity? , 2011, The journals of gerontology. Series B, Psychological sciences and social sciences.

[43]  Hong Ma,et al.  [Biomarkers of aging]. , 2002, Sheng li ke xue jin zhan [Progress in physiology].

[44]  Somnath Chatterji,et al.  Ageing 3 Health, Functioning, and Disability in Older Adults—present Status and Future Implications , 2022 .