Frailty is associated with the epigenetic clock but not with telomere length in a German cohort

BackgroundThe epigenetic clock, in particular epigenetic pre-aging quantified by the so-called DNA methylation age acceleration, has recently been suggested to closely correlate with a variety of disease phenotypes. There remains a dearth of data, however, on its association with telomere length and frailty, which can be considered major correlates of age on the genomic and clinical level, respectively.ResultsIn this cross-sectional observational study on altogether 1820 subjects from two subsets (n = 969 and n = 851; mean ± standard deviation age 62.1 ± 6.5 and 63.0 ± 6.7 years, respectively) of the ESTHER cohort study of the elderly general population in Germany, DNA methylation age was calculated based on a 353 loci predictor previously developed in a large meta-study, and the difference-based epigenetic age acceleration was calculated as predicted methylation age minus chronological age. No correlation of epigenetic age acceleration with telomere length was found in our study (p = 0.63). However, there was an association of DNA methylation age acceleration with a comprehensive frailty measure, such that the accumulated deficits significantly increased with increasing age acceleration. Quantitatively, about half an additional deficit was added per 6 years of methylation age acceleration (p = 0.0004). This association was independent from age, sex, and estimated leukocyte distribution, as well as from a variety of other confounding variables considered.ConclusionsThe results of the present study suggest that epigenetic age acceleration is correlated with clinically relevant aging-related phenotypes through pathways unrelated to cellular senescence as assessed by telomere length. Innovative approaches like Mendelian randomization will be needed to elucidate whether epigenetic age acceleration indeed plays a causal role for the development of clinical phenotypes.

[1]  R. Cawthon Telomere measurement by quantitative PCR. , 2002, Nucleic acids research.

[2]  J. Kaufman,et al.  Telomere length versus hormonal and bone mineral status in healthy elderly men , 2005, Mechanisms of Ageing and Development.

[3]  H. Brenner,et al.  Changes of cardiovascular risk factors and their implications in subsequent birth cohorts of older adults in Germany: a life course approach , 2007, European journal of cardiovascular prevention and rehabilitation : official journal of the European Society of Cardiology, Working Groups on Epidemiology & Prevention and Cardiac Rehabilitation and Exercise Physiology.

[4]  T. Gill,et al.  A standard procedure for creating a frailty index , 2008, BMC geriatrics.

[5]  T. Maeda,et al.  Age-related changes in subtelomeric methylation in the normal Japanese population. , 2009, The journals of gerontology. Series A, Biological sciences and medical sciences.

[6]  F. Lattanzio,et al.  Global DNA methylation in old subjects is correlated with frailty , 2011, AGE.

[7]  G. Davey Smith,et al.  Two-step epigenetic Mendelian randomization: a strategy for establishing the causal role of epigenetic processes in pathways to disease. , 2012, International journal of epidemiology.

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

[9]  Xihong Lin,et al.  The Association Between Global DNA Methylation and Telomere Length in a Longitudinal Study of Boilermakers , 2014, Genetic epidemiology.

[10]  T. Kirkwood,et al.  Acquisition of aberrant DNA methylation is associated with frailty in the very old: findings from the Newcastle 85+ Study , 2014, Biogerontology.

[11]  H. Brenner,et al.  Frailty and telomere length: Cross-sectional analysis in 3537 older adults from the ESTHER cohort , 2014, Experimental Gerontology.

[12]  Hermann Brenner,et al.  Cross-sectional and longitudinal changes in DNA methylation with age: an epigenome-wide analysis revealing over 60 novel age-associated CpG sites. , 2014, Human molecular genetics.

[13]  G. Onder,et al.  Shorter Telomeres in Peripheral Blood Mononuclear Cells from Older Persons with Sarcopenia: Results from an Exploratory Study , 2014, Front. Aging Neurosci..

[14]  E. Andres Houseman,et al.  Reference-free cell mixture adjustments in analysis of DNA methylation data , 2014, Bioinform..

[15]  W. McArdle,et al.  Human leukocyte telomere length is associated with DNA methylation levels in multiple subtelomeric and imprinted loci , 2014, Scientific Reports.

[16]  H. Brenner,et al.  Frailty prevalence and 10-year survival in community-dwelling older adults: results from the ESTHER cohort study , 2014, European Journal of Epidemiology.

[17]  S. Horvath,et al.  Longitudinal changes of telomere length and epigenetic age related to traumatic stress and post-traumatic stress disorder , 2015, Psychoneuroendocrinology.

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

[19]  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.

[20]  Sangkyu Kim,et al.  Quantitative measures of healthy aging and biological age , 2015, Healthy aging research.

[21]  Steve Horvath,et al.  Accelerated epigenetic aging in Down syndrome , 2015, Aging cell.

[22]  H. Brenner,et al.  Smoking habits and leukocyte telomere length dynamics among older adults: Results from the ESTHER cohort , 2015, Experimental Gerontology.

[23]  Aging and DNA methylation , 2015, BMC Biology.

[24]  A. Mitnitski,et al.  The rate of aging: the rate of deficit accumulation does not change over the adult life span , 2015, Biogerontology.

[25]  M. Nykter,et al.  Ageing-associated changes in the human DNA methylome: genomic locations and effects on gene expression , 2015, BMC Genomics.

[26]  A. Koliada,et al.  Telomeric aging: mitotic clock or stress indicator? , 2015, Front. Genet..

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

[28]  M. Prince,et al.  Frailty and the prediction of dependence and mortality in low- and middle-income countries: a 10/66 population-based cohort study , 2015, BMC Medicine.