scholarly journals Age-related clonal haemopoiesis is associated with increased epigenetic age

2019 ◽  
Author(s):  
Neil A. Robertson ◽  
Ian J. Deary ◽  
Kristina Kirschner ◽  
Riccardo E. Marioni ◽  
Tamir Chandra

Age-related clonal haemopoiesis (ARCH) in healthy individuals was initially observed through an increased skewing in X chromosome inactivation. More recently, several groups reported that ARCH is driven by somatic mutations. The most prevalent ARCH mutations are in the DNMT3A and TET2 genes, previously described as drivers of myeloid malignancies. ARCH is associated with an increased risk for haematological cancers. ARCH also confers an increased risk for non-haematological diseases such as cardiovascular disease, atherosclerosis, and chronic ischemic heart failure, for which age is a main risk factor. Whether ARCH is linked to accelerated ageing has remained unexplored. The most accurate and commonly-used tools to measure age acceleration are epigenetic clocks. They are based on age-related methylation differences at specific CpG sites correlating chronological age accurately with epigenetic age. Deviations from chronological age towards an increased epigenetic age have been associated with increased risk of earlier mortality and age-related morbidities. Here we present evidence of accelerated epigenetic age in individuals with ARCH.

2021 ◽  
Author(s):  
Neil A Robertson ◽  
Eric Latorre-Crespo ◽  
Maria Terrada-Terradas ◽  
Alison C Purcell ◽  
Benjamin J Livesey ◽  
...  

The prevalence of clonal haematopoiesis of indeterminate potential (CHIP) in healthy individuals increases rapidly from age 60 onwards and has been associated with increased risk for malignancy, heart disease and ischemic stroke. CHIP is driven by somatic mutations in stem cells that are also drivers of myeloid malignancies. Since mutations in stem cells often drive leukaemia, we hypothesised that stem cell fitness substantially contributes to transformation from CHIP to leukaemia. Stem cell fitness is defined as the proliferative advantage over cells carrying no or only neutral mutations. We set out to quantify the fitness effects of CHIP drivers over a 15 year timespan in older age, using longitudinal error-corrected sequencing data. It is currently unknown whether mutations in different CHIP genes lead to distinct fitness advantages that could form the basis for patient stratification. We developed a new method based on drift-induced fluctuation (DIF) filtering to extract fitness effects from longitudinal data, and thus quantify the growth potential of variants within each individual. Our approach discriminates naturally drifting populations of cells and faster growing clones, while taking into account individual mutational context. We show that gene-specific fitness differences can outweigh inter-individual variation and therefore could form the basis for personalised clinical management.


Author(s):  
Pavanello ◽  
Campisi ◽  
Tona ◽  
Lin ◽  
Iliceto

DNA methylation (DNAm) is an emerging estimator of biological aging, i.e., the often-defined “epigenetic clock”, with a unique accuracy for chronological age estimation (DNAmAge). In this pilot longitudinal study, we examine the hypothesis that intensive relaxing training of 60 days in patients after myocardial infarction and in healthy subjects may influence leucocyte DNAmAge by turning back the epigenetic clock. Moreover, we compare DNAmAge with another mechanism of biological age, leucocyte telomere length (LTL) and telomerase. DNAmAge is reduced after training in healthy subjects (p = 0.053), but not in patients. LTL is preserved after intervention in healthy subjects, while it continues to decrease in patients (p = 0.051). The conventional negative correlation between LTL and chronological age becomes positive after training in both patients (p < 0.01) and healthy subjects (p < 0.05). In our subjects, DNAmAge is not associated with LTL. Our findings would suggest that intensive relaxing practices influence different aging molecular mechanisms, i.e., DNAmAge and LTL, with a rejuvenating effect. Our study reveals that DNAmAge may represent an accurate tool to measure the effectiveness of lifestyle-based interventions in the prevention of age-related diseases.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3194-3194 ◽  
Author(s):  
Anna Mies ◽  
Tanja Božić ◽  
Michael Kramer ◽  
Julia Franzen ◽  
Gerhard Ehninger ◽  
...  

Abstract Introduction: Myelodysplastic syndromes (MDS) are frequently associated with somatic mutations in epigenetic modifiers such as de novo methyltransferase 3A (DNMT3A). However, so far the significance of specific epigenetic modifications for disease stratification remains largely unknown. In this study, we investigated if epigenetic biomarkers, which were previously described to be relevant in acute myeloid leukemia (AML), are also of prognostic impact in MDS. Methods: Peripheral blood samples of MDS patients (n=126; f/m=59/67; median age 66; range 26-93) equally distributed across all risk groups based on the revised International Prognostic Scoring System (IPSS-R; very low/low=43; int=37; high/very high=43; n.a.=3) were analyzed at initial diagnosis. Genomic DNA was isolated, bisulfite converted, and DNA methylation (DNAm) level at selected genomic regions were determined by pyrosequencing as described before: (1) hypermethylation at a CpG site in complement component 1 subcomponent R (C1R), (2) an epigenetic age prediction with an Epigenetic-Aging-Signature based on three CpG sites located in the genes ITGA2B, ASPA and PDE4C, and (3) an epimutation in the DNMT3A locus, mimicking somatic mutations of this gene, were all reported to correlate with overall survival (OS) in AML patients. Results were subsequently compared to clinical parameters such as IPSS-R, leukemic progression, and OS. Results: A clear tendency for longer OS of MDS patients was observed if DNAm level at C1R was above median (22%; two-year survival 67% [95% CI 53-84%] in hypo- vs. 84% [95% CI 74-95%] in hypermethylated samples; P=0.071), which is in line with previous findings in AML samples. The predicted epigenetic age determined by the Epigenetic-Aging-Signature correlated moderately with the chronological age of the investigated MDS patients (R=0.42) and their OS (P=0.029). This effect was also seen in a multivariable analysis of this cohort including predicted and chronological age (P=0.040). Finally, we stratified MDS patients by the DNAm level of 10% in DNMT3A. Similar to AML, also MDS patients with higher methylation at the CpG site represented on a microarray (cg23009818) showed in tendency shorter OS (two-year survival 79% [95% CI 69-89%] in hypo- vs. 65% [95% CI 45-93%] in hypermethylated samples; P=0.110). In fact, this association was even more pronounced at a neighboring CpG site (two-year survival 83% [95% CI 74-92%] in hypo- vs. 49% [95% CI 29-84%] in hypermethylated samples; P=0.009; Figure A). Moreover, increased DNAm level at this neighboring CpG site in DNMT3A was indicative for progression into AML (after two years: 15% [95% CI 6-24%] in hypo- vs. 44% [95% CI 12-76%] in hypermethylated samples; P=0.011; Figure B). Of note, none of these markers correlated with IPSS-R categories indicating that they might provide independent prognostic parameters. Conclusion: The analyzed epigenetic biomarkers revealed prognostic relevance in MDS patients and we suggest considering them in future risk stratification models. Particularly the aberrant hypermethylation of DNMT3A, which may also result in alternative splicing of DNMT3A transcripts, was associated with accelerated leukemic progression and shorter OS. Figure Figure. Disclosures Božić: Cygenia GmbH: Consultancy. Wagner:Cygenia GmbH: Equity Ownership.


2019 ◽  
Author(s):  
Anil P.S. Ori ◽  
Loes M. Olde Loohuis ◽  
Jerry Guintivano ◽  
Eilis Hannon ◽  
Emma Dempster ◽  
...  

AbstractSchizophrenia (SCZ) is a severe mental illness that is associated with an increased prevalence of age-related disability and morbidity compared to the general population. An accelerated aging process has therefore been hypothesized as a component of the SCZ disease trajectory. Here, we investigated differential aging using three DNA methylation (DNAm) clocks (i.e. Hannum, Horvath, Levine) in a multi-cohort SCZ whole blood sample consisting of 1,100 SCZ cases and 1,200 controls. It is known that all three DNAm clocks are highly predictive of chronological age and capture different features of biological aging. We found that blood-based DNAm aging is significantly altered in SCZ with age- and sexspecific effects that differ between clocks and map to distinct chronological age windows. Most notably, the predicted phenotypic age (Levine clock) in female cases, starting at age 36 and beyond, is 3.21 years older compared to matching control subjects (95% CI: 1.92-4.50, P=1.3e-06) explaining 7.7% of the variance in disease status. Female cases with high SCZ polygenic risk scores present the highest age acceleration in this age group with +7.03 years (95% CI: 3.87-10.18, P=1.7E-05). Since increased phenotypic age is associated with increased risk of all-cause mortality, our findings suggests that specific and identifiable patient groups are at increased mortality risk as measured by the Levine clock. These results provide new biological insights into the aging landscape of SCZ with age- and sexspecific effects and warrant further investigations into the potential of DNAm clocks as clinical biomarkers that may help with disease management in schizophrenia.


2021 ◽  
Author(s):  
Ana I Hernández Cordero ◽  
Chen Xi Yang ◽  
Xuan Li ◽  
Stephen Milne ◽  
Virginia Chen ◽  
...  

Abstract Background: Chronic obstructive pulmonary disease (COPD) is an age-related condition that has been associated with early telomere attrition; the clinical implications of telomere shortening in COPD are not well known. In this study we aimed to determine the relationship of the epigenetic regulation of telomeric length in peripheral blood with the risk of exacerbations and hospitalization in patients with COPD. Methods: Blood DNA methylation profiles were obtained from 292 patients with COPD enrolled in the placebo arm of the Macrolide Azithromycin to Prevent Rapid Worsening of Symptoms Associated With Chronic Obstructive Pulmonary Disease study (MACRO) and who were followed for 1-year. We calculated telomere length based on DNA methylation markers (DNAmTL) and related this biomarker to the risk of exacerbation and hospitalization and health status (St. George respiratory questionary score [SGRQ]) over this time using a Cox proportional hazards model. We also used linear models to investigate the associations of DNAmTL with the rates of exacerbations and hospitalizations (adjusted for chronological age, lung function, race, sex, smoking, and body mass index).Results: Participants with short DNAmTL demonstrated increased risk of exacerbation (P=0.02) and hospitalization (P=0.03) compared to those with longer DNAmTL. DNAmTL age acceleration was associated with higher rates of exacerbation (P=1.35x10-04) and hospitalization (P=5.21x10-03) and poor health status (SGRQ) independent of chronological age (P=0.03).Conclusion: Telomeric age based on blood DNA methylation is associated with COPD exacerbation and hospitalization and thus is a promising biomarker for poor outcomes in COPD.


2021 ◽  
Author(s):  
Kyeezu Kim ◽  
Brian T. Joyce ◽  
Yinan Zheng ◽  
Pamela J. Schreiner ◽  
David R. Jacobs Jr. ◽  
...  

DNA methylation-based biological age (epigenetic age) has been suggested as a useful biomarker of age-related conditions including type 2 diabetes (T2D), and its newest iterations (GrimAge measurements) have shown early promise. In this study, we explored the association between epigenetic age and incident T2D, in the context of their relationships with obesity. <p>A total of 1,057 participants in the Coronary Artery Risk Development in Young Adults (CARDIA) study were included in the current analyses. We stratified the participants into three groups; normal weight, overweight, and obese. A one-year increase of GrimAge was associated with higher 10-year (Y15 to Y25) incidence of T2D (OR=1.06, 95% CI=1.01-1.11). GrimAge acceleration, which represents the deviation of GrimAge from chronological age, was derived from the residuals of a model of GrimAge and chronological age, and any GrimAge acceleration (Positive GrimAA; having GrimAge older than chronological age) was associated with significantly higher odds of 10-year incidence of T2D in obese participants (OR=2.57, 95% CI=1.61-4.11). Cumulative obesity was estimated by years since obesity onset, and GrimAge partially mediated the statistical association between cumulative obesity and incident diabetes or prediabetes (proportion mediated = 8.0%). </p> In conclusion, both <a>older and accelerated GrimAge were associated with higher risk of T2D, particularly among obese participants. GrimAge also statistically mediated the associations between cumulative obesity and T2D. </a>Our findings suggest that epigenetic age measurements with DNA methylation can potentially be utilized as a risk factor or biomarker associated with T2D development.


2019 ◽  
Vol 116 (18) ◽  
pp. 9014-9019 ◽  
Author(s):  
Lei Zhang ◽  
Xiao Dong ◽  
Moonsook Lee ◽  
Alexander Y. Maslov ◽  
Tao Wang ◽  
...  

Accumulation of mutations in somatic cells has been implicated as a cause of aging since the 1950s. However, attempts to establish a causal relationship between somatic mutations and aging have been constrained by the lack of methods to directly identify mutational events in primary human tissues. Here we provide genome-wide mutation frequencies and spectra of human B lymphocytes from healthy individuals across the entire human lifespan using a highly accurate single-cell whole-genome sequencing method. We found that the number of somatic mutations increases from <500 per cell in newborns to >3,000 per cell in centenarians. We discovered mutational hotspot regions, some of which, as expected, were located at Ig genes associated with somatic hypermutation (SHM). B cell–specific mutation signatures associated with development, aging, or SHM were found. The SHM signature strongly correlated with the signature found in human B cell tumors, indicating that potential cancer-causing events are already present even in B cells of healthy individuals. We also identified multiple mutations in sequence features relevant to cellular function (i.e., transcribed genes and gene regulatory regions). Such mutations increased significantly during aging, but only at approximately one-half the rate of the genome average, indicating selection against mutations that impact B cell function. This full characterization of the landscape of somatic mutations in human B lymphocytes indicates that spontaneous somatic mutations accumulating with age can be deleterious and may contribute to both the increased risk for leukemia and the functional decline of B lymphocytes in the elderly.


Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Sadiya S Khan ◽  
Yinan Zheng ◽  
Laura A Colangelo ◽  
Wei Zhang ◽  
Cora E Lewis ◽  
...  

Background: Obesity is associated with increased risk of cardiovascular and other age-related diseases that may represent accelerated aging. As methylation levels in DNA change with aging, epigenetic age (EA), which integrates whole-genome methylation has emerged as a novel biomarker of aging and has been associated with mortality and age-related morbidity. Epigenetic age acceleration (EAA), is based on the residual value of 353 previously defined methylation markers regressed on chronologic age (CA), and is thus independent of CA. Therefore, we sought to examine the association of obesity and EAA in midlife. Methods: A subset of participants in the CARDIA cohort (n=1200) randomly selected (balanced on race and sex) underwent genome-wide DNA methylation profiling with the Illumina EPIC array from exam year 15 (2000-01 [age 33-45 years]) and 20 (2005-06 [38-50 years] for calculation of EAA. Body mass index (BMI) was measured at Y15 and Y20, respectively. We used linear regression to examine the association of obesity (independent variable) with EAA after adjusting for CA, race, sex, education, study center, smoking status, physical activity, and alcohol intake. Results: Participants were 52% female and 41% black and had mean BMI 28.5±6.2 kg/m 2 at Y15 and 29.2±6.4 kg/m 2 at Y20. At Y15, participants who were obese had 1.04 (0.38) years higher EAA compared to normal BMI participants (p<0.01, Figure) . Similar results were observed at Y20. Results were similar when evaluating the association of BMI continuously with EAA (p<0.05). Conclusions: EAA is a promising molecular biomarker of aging associated with obesity. Changes in DNA methylation may serve as an intermediate phenotype prior to the onset of age-associated pathologies related to obesity.


2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Ana I. Hernández Cordero ◽  
Chen Xi Yang ◽  
Xuan Li ◽  
Stephen Milne ◽  
Virginia Chen ◽  
...  

Abstract Background Chronic obstructive pulmonary disease (COPD) is an age-related condition that has been associated with early telomere attrition; the clinical implications of telomere shortening in COPD are not well known. In this study we aimed to determine the relationship of the epigenetic regulation of telomeric length in peripheral blood with the risk of exacerbations and hospitalization in patients with COPD. Methods Blood DNA methylation profiles were obtained from 292 patients with COPD enrolled in the placebo arm of the Macrolide Azithromycin to Prevent Rapid Worsening of Symptoms Associated with Chronic Obstructive Pulmonary Disease (MACRO) Study and who were followed for 1-year. We calculated telomere length based on DNA methylation markers (DNAmTL) and related this biomarker to the risk of exacerbation and hospitalization and health status (St. George Respiratory Questionnaire [SGRQ]) score over time using a Cox proportional hazards model. We also used linear models to investigate the associations of DNAmTL with the rates of exacerbation and hospitalization (adjusted for chronological age, lung function, race, sex, smoking, body mass index and cell composition). Results Participants with short DNAmTL demonstrated increased risk of exacerbation (P = 0.02) and hospitalization (P = 0.03) compared to those with longer DNAmTL. DNAmTL age acceleration was associated with higher rates of exacerbation (P = 1.35 × 10–04) and hospitalization (P = 5.21 × 10–03) and poor health status (lower SGRQ scores) independent of chronological age (P = 0.03). Conclusion Telomeric age based on blood DNA methylation is associated with COPD exacerbation and hospitalization and thus a promising biomarker for poor outcomes in COPD.


2021 ◽  
Author(s):  
Tamar Shahal ◽  
Elad Segev ◽  
Thomas Konstantinovsky ◽  
Yonit Marcus ◽  
Gabi Shefer ◽  
...  

Epigenetic age not only correlates with chronological age but predicts morbidity and mortality. We assumed that deconvolution of epigenetic age to its individual components could shed light on the diversity of epigenetic, and by inference, biological aging. Using the Horvath original epigenetic clock, we identified several CpG sites linked to distinct genes that quantitatively explain much of the interpersonal variability in epigenetic aging, with secretagogin and malin showing the most dominant effects. The analysis shows that the same epigenetic age for any given chronological age can be accounted for by variable contributions of identifiable CpG sites; that old epigenetic relative to chronological age is mostly explained by the same CpG sites, mapped to genes showing the highest interindividual variability differences in healthy subjects but not in subjects with type 2 diabetes. This paves the way to form personalized aging cards indicating the sources of accelerated/decelerated epigenetic aging in each examinee, en route to targeting specific sites as indicators, and perhaps treatment targets of personal undesirable age drifting.


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