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Föhr T, Hendrix A, Kankaanpää A, Laakkonen EK, Kujala U, Pietiläinen KH, Lehtimäki T, Kähönen M, Raitakari O, Wang X, Kaprio J, Ollikainen M, Sillanpää E. Metabolic syndrome and epigenetic aging: a twin study. Int J Obes (Lond) 2024; 48:778-787. [PMID: 38273034 PMCID: PMC11129944 DOI: 10.1038/s41366-024-01466-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 12/13/2023] [Accepted: 01/10/2024] [Indexed: 01/27/2024]
Abstract
BACKGROUND Metabolic syndrome (MetS) is associated with premature aging, but whether this association is driven by genetic or lifestyle factors remains unclear. METHODS Two independent discovery cohorts, consisting of twins and unrelated individuals, were examined (N = 268, aged 23-69 years). The findings were replicated in two cohorts from the same base population. One consisted of unrelated individuals (N = 1 564), and the other of twins (N = 293). Participants' epigenetic age, estimated using blood DNA methylation data, was determined using the epigenetic clocks GrimAge and DunedinPACE. The individual-level linear regression models for investigating the associations of MetS and its components with epigenetic aging were followed by within-twin-pair analyses using fixed-effects regression models to account for genetic factors. RESULTS In individual-level analyses, GrimAge age acceleration was higher among participants with MetS (N = 56) compared to participants without MetS (N = 212) (mean 2.078 [95% CI = 0.996,3.160] years vs. -0.549 [-1.053,-0.045] years, between-group p = 3.5E-5). Likewise, the DunedinPACE estimate was higher among the participants with MetS compared to the participants without MetS (1.032 [1.002,1.063] years/calendar year vs. 0.911 [0.896,0.927] years/calendar year, p = 4.8E-11). An adverse profile in terms of specific MetS components was associated with accelerated aging. However, adjustments for lifestyle attenuated these associations; nevertheless, for DunedinPACE, they remained statistically significant. The within-twin-pair analyses suggested that genetics explains these associations fully for GrimAge and partly for DunedinPACE. The replication analyses provided additional evidence that the association between MetS components and accelerated aging is independent of the lifestyle factors considered in this study, however, suggesting that genetics is a significant confounder in this association. CONCLUSIONS The results of this study suggests that MetS is associated with accelerated epigenetic aging, independent of physical activity, smoking or alcohol consumption, and that the association may be explained by genetics.
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Affiliation(s)
- Tiina Föhr
- Faculty of Sport and Health Sciences, Gerontology Research Center, University of Jyväskylä, Jyväskylä, Finland.
| | - Arne Hendrix
- Physical Activity, Sport & Health Research Group, Department of Movement Sciences, KU Leuven - University of Leuven, Leuven, Belgium
| | - Anna Kankaanpää
- Faculty of Sport and Health Sciences, Gerontology Research Center, University of Jyväskylä, Jyväskylä, Finland
| | - Eija K Laakkonen
- Faculty of Sport and Health Sciences, Gerontology Research Center, University of Jyväskylä, Jyväskylä, Finland
| | - Urho Kujala
- Faculty of Sport and Health Sciences, Gerontology Research Center, University of Jyväskylä, Jyväskylä, Finland
| | - Kirsi H Pietiläinen
- Obesity Research Unit, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Healthy Weight Hub, Endocrinology, Abdominal Center, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Olli Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Xiaoling Wang
- Georgia Prevention Institute (GPI), Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Miina Ollikainen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
| | - Elina Sillanpää
- Faculty of Sport and Health Sciences, Gerontology Research Center, University of Jyväskylä, Jyväskylä, Finland
- The Wellbeing Services County of Central Finland, Jyväskylä, Finland
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Harvanek ZM, Kudinova AY, Wong SA, Xu K, Brick L, Daniels TE, Marsit C, Burt A, Sinha R, Tyrka AR. Childhood adversity, accelerated GrimAge, and associated health consequences. J Behav Med 2024:10.1007/s10865-024-00496-0. [PMID: 38762606 DOI: 10.1007/s10865-024-00496-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 05/01/2024] [Indexed: 05/20/2024]
Abstract
Childhood adversity is linked to psychological, behavioral, and physical health problems, including obesity and cardiometabolic disease. Epigenetic alterations are one pathway through which the effects of early life stress and adversity might persist into adulthood. Epigenetic mechanisms have also been proposed to explain why cardiometabolic health can vary greatly between individuals with similar Body Mass Index (BMIs). We evaluated two independent cross-sectional cohorts of adults without known medical illness, one of which explicitly recruited individuals with early life stress (ELS) and control participants (n = 195), and the other a general community sample (n = 477). In these cohorts, we examine associations between childhood adversity, epigenetic aging, and metabolic health. Childhood adversity was associated with increased GrimAge Acceleration (GAA) in both cohorts, both utilizing a dichotomous yes/no classification (both p < 0.01) as well as a continuous measure using the Childhood Trauma Questionnaire (CTQ) (both p < 0.05). Further investigation demonstrated that CTQ subscales for physical and sexual abuse (both p < 0.05) were associated with increased GAA in both cohorts, whereas physical and emotional neglect were not. In both cohorts, higher CTQ was also associated with higher BMI and increased insulin resistance (both p < 0.05). Finally, we demonstrate a moderating effect of BMI on the relationship between GAA and insulin resistance where GAA correlated with insulin resistance specifically at higher BMIs. These results, which were largely replicated between two independent cohorts, suggest that interactions between epigenetics, obesity, and metabolic health may be important mechanisms through which childhood adversity contributes to long-term physical and metabolic health effects.
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Affiliation(s)
- Zachary M Harvanek
- Department of Psychiatry, Yale University, New Haven, CT, USA.
- Yale Stress Center, Yale University, New Haven, CT, USA.
| | - Anastacia Y Kudinova
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- Bradley Hospital, Providence, RI, USA
| | - Samantha A Wong
- New York University Grossman School of Medicine, New York, USA
| | - Ke Xu
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Department of Psychiatry, Connecticut Veteran Healthcare System, West Haven, CT, USA
| | - Leslie Brick
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Teresa E Daniels
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- Bradley Hospital, Providence, RI, USA
- Initiative for Stress, Trauma, and Resilience, Alpert Medical School of Brown University, Providence, RI, USA
- Laboratory for Clinical and Translational Neuroscience, Butler Hospital, Providence, RI, USA
| | - Carmen Marsit
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Amber Burt
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Rajita Sinha
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Yale Stress Center, Yale University, New Haven, CT, USA
- Department of Neuroscience, Yale University, New Haven, CT, USA
- Child Study Center, Yale University, New Haven, CT, USA
| | - Audrey R Tyrka
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- Initiative for Stress, Trauma, and Resilience, Alpert Medical School of Brown University, Providence, RI, USA
- Laboratory for Clinical and Translational Neuroscience, Butler Hospital, Providence, RI, USA
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3
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Suglia SF, Clausing ES, Shelton RC, Conneely K, Prada-Ortega D, DeVivo I, Factor-Litvak P, Cirillo P, Baccarelli AA, Cohn B, Link BG. Cumulative Stress Across the Life Course and Biological Aging in Adulthood. Psychosom Med 2024; 86:137-145. [PMID: 38345302 PMCID: PMC11001534 DOI: 10.1097/psy.0000000000001284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Abstract
OBJECTIVE Psychosocial stressors have been linked with accelerated biological aging in adults; however, few studies have examined stressors across the life course in relation to biological aging. METHODS In 359 individuals (57% White, 34% Black) from the Child Health and Development Studies Disparities study, economic (income, education, financial strain), social (parent-child relations, caretaker responsibilities) and traumatic (death of a sibling or child, violence exposure) stressors were assessed at multiple time points (birth and ages 9, 15, and 50 years). Experiences of major discrimination were assessed at age 50. Life period stress scores were then assessed as childhood (birth-age 15 years) and adulthood (age 50 years). At age 50 years, participants provided blood samples, and DNA methylation was assessed with the EPIC BeadChip. Epigenetic age was estimated using six epigenetic clocks (Horvath, Hannum, Skin and Blood age, PhenoAge, GrimAge, Dunedin Pace of Aging). Age acceleration was determined using residuals from regressing chronologic age on each of the epigenetic age metrics. Telomere length was assessed using the quantitative polymerase chain reaction-based methods. RESULTS In linear regression models adjusted for race and gender, total life stress, and childhood and adult stress independently predicted accelerated aging based on GrimAge and faster pace of aging based on the DunedinPace. Associations were attenuated after adjusting for smoking status. In sex-stratified analyses, greater childhood stress was associated with accelerated epigenetic aging among women but not men. No associations were noted with telomere length. CONCLUSIONS We found that cumulative stressors across the life course were associated with accelerated epigenetic age, with differences by sex (e.g., accelerated among women). Further research of this association in large and diverse samples is needed.
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Affiliation(s)
- Shakira F Suglia
- From the Department of Epidemiology (Suglia), Rollins School of Public Health, Emory University, Atlanta, Georgia; School of Global Integrative Studies (Clausing) and Center for Brain, Biology, and Behavior (Clausing), University of Nebraska-Lincoln, Lincoln, Nebraska; Department of Sociomedical Sciences (Shelton), Mailman School of Public Health, New York, New York; Department of Human Genetics (Conneely, Baccarelli), School of Medicine, Emory University, Atlanta, Georgia; Department of Environmental Health (Prada-Ortega), Mailman School of Public Health, New York, New York; Department of Epidemiology (DeVivo), Harvard T. H. Chan School of Public Health; Channing Division of Network Medicine (DeVivo), Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts; Department of Epidemiology (Factor-Litvak), Mailman School of Public Health, New York, New York; Child Health and Development Studies (Cirillo, Cohn), Public Health Institute, Berkeley; and Department of Sociology (Link), University of California Riverside, Riverside, California
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4
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Bafei SEC, Shen C. Biomarkers selection and mathematical modeling in biological age estimation. NPJ AGING 2023; 9:13. [PMID: 37393295 DOI: 10.1038/s41514-023-00110-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Accepted: 05/08/2023] [Indexed: 07/03/2023]
Abstract
Biological age (BA) is important for clinical monitoring and preventing aging-related disorders and disabilities. Clinical and/or cellular biomarkers are measured and integrated in years using mathematical models to display an individual's BA. To date, there is not yet a single or set of biomarker(s) and technique(s) that is validated as providing the BA that reflects the best real aging status of individuals. Herein, a comprehensive overview of aging biomarkers is provided and the potential of genetic variations as proxy indicators of the aging state is highlighted. A comprehensive overview of BA estimation methods is also provided as well as a discussion of their performances, advantages, limitations, and potential approaches to overcome these limitations.
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Affiliation(s)
- Solim Essomandan Clémence Bafei
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Chong Shen
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
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5
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Rajado AT, Silva N, Esteves F, Brito D, Binnie A, Araújo IM, Nóbrega C, Bragança J, Castelo-Branco P. How can we modulate aging through nutrition and physical exercise? An epigenetic approach. Aging (Albany NY) 2023. [DOI: https:/doi.org/10.18632/aging.204668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Affiliation(s)
- Ana Teresa Rajado
- Algarve Biomedical Center, Research Institute (ABC-RI), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Algarve Biomedical Center (ABC), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
| | - Nádia Silva
- Algarve Biomedical Center, Research Institute (ABC-RI), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Algarve Biomedical Center (ABC), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
| | - Filipa Esteves
- Algarve Biomedical Center, Research Institute (ABC-RI), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Algarve Biomedical Center (ABC), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
| | - David Brito
- Algarve Biomedical Center, Research Institute (ABC-RI), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Algarve Biomedical Center (ABC), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
| | - Alexandra Binnie
- Algarve Biomedical Center, Research Institute (ABC-RI), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Algarve Biomedical Center (ABC), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Faculty of Medicine and Biomedical Sciences (FMCB), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Department of Critical Care, William Osler Health System, Etobicoke, Ontario, Canada
| | - Inês M. Araújo
- Algarve Biomedical Center, Research Institute (ABC-RI), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Algarve Biomedical Center (ABC), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Faculty of Medicine and Biomedical Sciences (FMCB), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Champalimaud Research Program, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Clévio Nóbrega
- Algarve Biomedical Center, Research Institute (ABC-RI), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Algarve Biomedical Center (ABC), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Faculty of Medicine and Biomedical Sciences (FMCB), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Champalimaud Research Program, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - José Bragança
- Algarve Biomedical Center, Research Institute (ABC-RI), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Algarve Biomedical Center (ABC), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Faculty of Medicine and Biomedical Sciences (FMCB), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Champalimaud Research Program, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Pedro Castelo-Branco
- Algarve Biomedical Center, Research Institute (ABC-RI), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Algarve Biomedical Center (ABC), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Faculty of Medicine and Biomedical Sciences (FMCB), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Champalimaud Research Program, Champalimaud Centre for the Unknown, Lisbon, Portugal
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Rajado AT, Silva N, Esteves F, Brito D, Binnie A, Araújo IM, Nóbrega C, Bragança J, Castelo-Branco P. How can we modulate aging through nutrition and physical exercise? An epigenetic approach. Aging (Albany NY) 2023; 15:3191-3217. [PMID: 37086262 DOI: 10.18632/aging.204668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 03/11/2023] [Indexed: 04/23/2023]
Abstract
The World Health Organization predicts that by 2050, 2.1 billion people worldwide will be over 60 years old, a drastic increase from only 1 billion in 2019. Considering these numbers, strategies to ensure an extended "healthspan" or healthy longevity are urgently needed. The present study approaches the promotion of healthspan from an epigenetic perspective. Epigenetic phenomena are modifiable in response to an individual's environmental exposures, and therefore link an individual's environment to their gene expression pattern. Epigenetic studies demonstrate that aging is associated with decondensation of the chromatin, leading to an altered heterochromatin structure, which promotes the accumulation of errors. In this review, we describe how aging impacts epigenetics and how nutrition and physical exercise can positively impact the aging process, from an epigenetic point of view. Canonical histones are replaced by histone variants, concomitant with an increase in histone post-translational modifications. A slight increase in DNA methylation at promoters has been observed, which represses transcription of previously active genes, in parallel with global genome hypomethylation. Aging is also associated with deregulation of gene expression - usually provided by non-coding RNAs - leading to both the repression of previously transcribed genes and to the transcription of previously repressed genes. Age-associated epigenetic events are less common in individuals with a healthy lifestyle, including balanced nutrition, caloric restriction and physical exercise. Healthy aging is associated with more tightly condensed chromatin, fewer PTMs and greater regulation by ncRNAs.
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Affiliation(s)
- Ana Teresa Rajado
- Algarve Biomedical Center, Research Institute (ABC-RI), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Algarve Biomedical Center (ABC), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
| | - Nádia Silva
- Algarve Biomedical Center, Research Institute (ABC-RI), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Algarve Biomedical Center (ABC), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
| | - Filipa Esteves
- Algarve Biomedical Center, Research Institute (ABC-RI), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Algarve Biomedical Center (ABC), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
| | - David Brito
- Algarve Biomedical Center, Research Institute (ABC-RI), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Algarve Biomedical Center (ABC), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
| | - Alexandra Binnie
- Algarve Biomedical Center, Research Institute (ABC-RI), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Algarve Biomedical Center (ABC), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Faculty of Medicine and Biomedical Sciences (FMCB), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Department of Critical Care, William Osler Health System, Etobicoke, Ontario, Canada
| | - Inês M Araújo
- Algarve Biomedical Center, Research Institute (ABC-RI), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Algarve Biomedical Center (ABC), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Faculty of Medicine and Biomedical Sciences (FMCB), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Champalimaud Research Program, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Clévio Nóbrega
- Algarve Biomedical Center, Research Institute (ABC-RI), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Algarve Biomedical Center (ABC), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Faculty of Medicine and Biomedical Sciences (FMCB), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Champalimaud Research Program, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - José Bragança
- Algarve Biomedical Center, Research Institute (ABC-RI), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Algarve Biomedical Center (ABC), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Faculty of Medicine and Biomedical Sciences (FMCB), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Champalimaud Research Program, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Pedro Castelo-Branco
- Algarve Biomedical Center, Research Institute (ABC-RI), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Algarve Biomedical Center (ABC), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Faculty of Medicine and Biomedical Sciences (FMCB), University of Algarve Campus Gambelas, Faro 8005-139, Portugal
- Champalimaud Research Program, Champalimaud Centre for the Unknown, Lisbon, Portugal
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7
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Yang GS, Yang K, Weaver MT, Lynch Kelly D, Dorsey SG, Jackson-Cook CK, Lyon DE. Exploring the relationship between DNA methylation age measures and psychoneurological symptoms in women with early-stage breast cancer. Support Care Cancer 2022; 31:65. [PMID: 36538110 DOI: 10.1007/s00520-022-07519-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 11/14/2022] [Indexed: 12/24/2022]
Abstract
PURPOSE The epigenetic clock has been acknowledged as an indicator for molecular aging, but few studies have examined possible associations of DNA methylation (DNAm) age or age acceleration (AA) with symptom burden in individuals who are treated for cancer. This study explored the association of DNAm age or AA with psychoneurological (PN) symptoms, including cognitive impairment, fatigue, sleep disturbances, pain, and depressive symptoms, in breast cancer survivors over a 2-year period. METHODS We measured PN symptoms using reliable instruments and DNAm levels by Infinium HumanMethylation450K BeadChip (N = 72). DNAm age was calculated by the Horvath, Grim, and Hannum-based intrinsic and extrinsic age estimations. AA was defined by the residual regressing estimated epigenetic age on chronological age. Mixed regression models were fitted for AA and changes in AA to study the association over time. Separate linear regression models and a mixed-effects model were fitted for AA at each time point. RESULTS Horvath-AA, Grim-AA, and extrinsic epigenetic AA were significantly changed over time, while intrinsic epigenetic AA did not exhibit any temporal changes. Increased AA was associated with greater anxiety and fatigue, as well as worse cognitive memory, adjusting for race, BMI, income, chemotherapy, radiation therapy, and chronological age. Increased DNAm age was associated with greater anxiety over 2 years. CONCLUSION Our findings suggest DNAm age and AA may be associated with PN symptoms over the course of cancer treatment and survivorship. Some PN symptoms may be amenable to preventive interventions targeted to epigenetic clocks that influence aging-associated processes.
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Affiliation(s)
- Gee Su Yang
- University of Connecticut School of Nursing, Storrs, CT, USA
| | - Kai Yang
- Medical College of Wisconsin Department of Institute for Health and Equity Division of Biostatistics, Milwaukee, WI, USA
| | | | | | - Susan G Dorsey
- School of Nursing Department of Pain and Translational Symptom Science, University of Maryland, Baltimore, MD, USA
| | - Colleen K Jackson-Cook
- Department of Pathology & Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Debra E Lyon
- University of Florida College of Nursing, Gainesville, FL, USA.
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Lu AT, Binder AM, Zhang J, Yan Q, Reiner AP, Cox SR, Corley J, Harris SE, Kuo PL, Moore AZ, Bandinelli S, Stewart JD, Wang C, Hamlat EJ, Epel ES, Schwartz JD, Whitsel EA, Correa A, Ferrucci L, Marioni RE, Horvath S. DNA methylation GrimAge version 2. Aging (Albany NY) 2022; 14:9484-9549. [PMID: 36516495 PMCID: PMC9792204 DOI: 10.18632/aging.204434] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 11/21/2022] [Indexed: 12/15/2022]
Abstract
We previously described a DNA methylation (DNAm) based biomarker of human mortality risk DNAm GrimAge. Here we describe version 2 of GrimAge (trained on individuals aged between 40 and 92) which leverages two new DNAm based estimators of (log transformed) plasma proteins: high sensitivity C-reactive protein (logCRP) and hemoglobin A1C (logA1C). We evaluate GrimAge2 in 13,399 blood samples across nine study cohorts. After adjustment for age and sex, GrimAge2 outperforms GrimAge in predicting mortality across multiple racial/ethnic groups (meta P=3.6x10-167 versus P=2.6x10-144) and in terms of associations with age related conditions such as coronary heart disease, lung function measurement FEV1 (correlation= -0.31, P=1.1x10-136), computed tomography based measurements of fatty liver disease. We present evidence that GrimAge version 2 also applies to younger individuals and to saliva samples where it tracks markers of metabolic syndrome. DNAm logCRP is positively correlated with morbidity count (P=1.3x10-54). DNAm logA1C is highly associated with type 2 diabetes (P=5.8x10-155). DNAm PAI-1 outperforms the other age-adjusted DNAm biomarkers including GrimAge2 in correlating with triglyceride (cor=0.34, P=9.6x10-267) and visceral fat (cor=0.41, P=4.7x10-41). Overall, we demonstrate that GrimAge version 2 is an attractive epigenetic biomarker of human mortality and morbidity risk.
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Affiliation(s)
- Ake T. Lu
- Dept. of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
- San Diego Institute of Science, Altos Labs, San Diego, CA 92121, USA
| | - Alexandra M. Binder
- Population Sciences in the Pacific Program (Cancer Epidemiology), University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI 96813, USA
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA 90095, USA
| | - Joshua Zhang
- Dept. of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Qi Yan
- San Diego Institute of Science, Altos Labs, San Diego, CA 92121, USA
| | - Alex P. Reiner
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Simon R. Cox
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, Scotland, UK
| | - Janie Corley
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, Scotland, UK
| | - Sarah E. Harris
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, Scotland, UK
| | - Pei-Lun Kuo
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - Ann Z. Moore
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - Stefania Bandinelli
- Geriatric Unit, Local Health Unit Tuscany Centre, Firenze, Tuscany 40125, Italy
| | - James D. Stewart
- Dept. of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27516-8050, USA
| | - Cuicui Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Elissa J. Hamlat
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA 94143-0848, USA
| | - Elissa S. Epel
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA 94143-0848, USA
| | - Joel D. Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Eric A. Whitsel
- Dept. of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27516-8050, USA
- Dept. of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Adolfo Correa
- Departments of Medicine and Population Health Science, Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Luigi Ferrucci
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - Riccardo E. Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, Scotland, UK
| | - Steve Horvath
- Dept. of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
- San Diego Institute of Science, Altos Labs, San Diego, CA 92121, USA
- Dept. of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA 90095, USA
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9
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Hernández Cordero AI, Yang CX, Yang J, Li X, Horvath S, Shaipanich T, MacIsaac J, Lin D, McEwen L, Kobor MS, Guillemi S, Harris M, Lam W, Lam S, Obeidat M, Novak RM, Hudson F, Klinker H, Dharan N, Montaner J, Man SP, Kunisaki K, Sin DD, Leung JM. The relationship between the epigenetic aging biomarker "grimage" and lung function in both the airway and blood of people living with HIV: An observational cohort study. EBioMedicine 2022; 83:104206. [PMID: 35944348 PMCID: PMC9379521 DOI: 10.1016/j.ebiom.2022.104206] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 07/14/2022] [Accepted: 07/24/2022] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Age-related comorbidities such as chronic obstructive pulmonary disease (COPD) are common in people living with human immunodeficiency virus (PLWH). We investigated the relationship between COPD and the epigenetic age of the airway epithelium and peripheral blood of PLWH. METHODS Airway epithelial brushings from 34 PLWH enrolled in the St. Paul's Hospital HIV Bronchoscopy cohort and peripheral blood from 378 PLWH enrolled in The Strategic Timing of Antiretroviral Treatment (START) study were profiled for DNA methylation. The DNA methylation biomarker of age and healthspan, GrimAge, was calculated in both tissue compartments. We tested the association of GrimAge with COPD in the airway epithelium and airflow obstruction as defined by an FEV1/FVC<0.70, and FEV1 decline over 6 years in blood. FINDINGS The airway epithelium of PLWH with COPD was associated with greater GrimAge residuals compared to PLWH without COPD (Beta=3.18, 95%CI=1.06-5.31, P=0.005). In blood, FEV1/FVC<LLN was associated with greater GrimAge residuals (Beta=1.74, 95%CI=0.37-3.24, P=0.019). FEV1 decline was inversely correlated with GrimAge residuals in blood (r=-0.13, P=0.012). PLWH who had normal lung function but who subsequently developed an FEV1/FVC<0.70 over the course of 6 years had higher GrimAge residuals at baseline (Beta=2.33, 95%CI=0.23-4.44, P=0.031). INTERPRETATION GrimAge may reflect lung and systemic epigenetic changes that occur with advanced airflow obstruction and may help to identify PLWH with a higher risk of developing COPD. FUNDING Canadian Institutes of Health Research and the British Columbia Lung Association. The START substudy was funded by NIH grants: UM1-AI068641, UM1-AI120197, and RO1HL096453.
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Affiliation(s)
- Ana I Hernández Cordero
- Centre for Heart Lung Innovation, St. Paul's Hospital and University of British Columbia, Vancouver, British Columbia, Canada
| | - Chen Xi Yang
- Centre for Heart Lung Innovation, St. Paul's Hospital and University of British Columbia, Vancouver, British Columbia, Canada
| | - Julia Yang
- Centre for Heart Lung Innovation, St. Paul's Hospital and University of British Columbia, Vancouver, British Columbia, Canada
| | - Xuan Li
- Centre for Heart Lung Innovation, St. Paul's Hospital and University of British Columbia, Vancouver, British Columbia, Canada
| | - Steve Horvath
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles (UCLA), Los Angeles, CA 90095, United States,Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles (UCLA), Los Angeles, CA 90095, United States
| | - Tawimas Shaipanich
- Division of Respiratory Medicine, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Julia MacIsaac
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, British Columbia, Canada
| | - David Lin
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Lisa McEwen
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Michael S. Kobor
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Silvia Guillemi
- British Columbia Centre for Excellence in HIV/AIDS, Providence Health Care, Vancouver, British Columbia, Canada,Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Marianne Harris
- British Columbia Centre for Excellence in HIV/AIDS, Providence Health Care, Vancouver, British Columbia, Canada,Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Wan Lam
- British Columbia Cancer Research Centre and the University of British Columbia, Vancouver, British Columbia
| | - Stephen Lam
- British Columbia Cancer Research Centre and the University of British Columbia, Vancouver, British Columbia
| | - Ma'en Obeidat
- Centre for Heart Lung Innovation, St. Paul's Hospital and University of British Columbia, Vancouver, British Columbia, Canada
| | - Richard M. Novak
- Section of Infectious Diseases, University of Illinois at Chicago, Chicago, IL, United States
| | - Fleur Hudson
- MRC Clinical Trials Unit, University College London, London, UK
| | - Hartwig Klinker
- Medizinische Klinik und Poliklinik II, Universitatsklinikum Wurzburg, Wurzburg, Germany
| | - Nila Dharan
- The Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia
| | - Julio Montaner
- British Columbia Centre for Excellence in HIV/AIDS, Providence Health Care, Vancouver, British Columbia, Canada,Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - S.F. Paul Man
- Centre for Heart Lung Innovation, St. Paul's Hospital and University of British Columbia, Vancouver, British Columbia, Canada,Division of Respiratory Medicine, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Ken Kunisaki
- Minneapolis Veterans Affairs Health Care System, Section of Pulmonary, Critical Care and Sleep Medicine and the Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Minnesota, Minneapolis, MN, United States
| | - Don D. Sin
- Centre for Heart Lung Innovation, St. Paul's Hospital and University of British Columbia, Vancouver, British Columbia, Canada,Division of Respiratory Medicine, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Janice M. Leung
- Centre for Heart Lung Innovation, St. Paul's Hospital and University of British Columbia, Vancouver, British Columbia, Canada,Division of Respiratory Medicine, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada,Corresponding author at: Room 166-1081 Burrard St, Centre for Heart Lung Innovation, Vancouver, BC V6Z 1Y6.
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10
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Klopack ET, Carroll JE, Cole SW, Seeman TE, Crimmins EM. Lifetime exposure to smoking, epigenetic aging, and morbidity and mortality in older adults. Clin Epigenetics 2022; 14:72. [PMID: 35643537 PMCID: PMC9148451 DOI: 10.1186/s13148-022-01286-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 05/09/2022] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Cigarette smoke is a major public health concern. Epigenetic aging may be an important pathway by which exposure to cigarette smoke affects health. However, little is known about how exposure to smoke at different life stages affects epigenetic aging, especially in older adults. This study examines how three epigenetic aging measures (GrimAge, PhenoAge, and DunedinPoAm38) are associated with parental smoking, smoking in youth, and smoking in adulthood, and whether these epigenetic aging measures mediate the link between smoke exposure and morbidity and mortality. This study utilizes data from the Health and Retirement Study (HRS) Venous Blood Study (VBS), a nationally representative sample of US adults over 50 years old collected in 2016. 2978 participants with data on exposure to smoking, morbidity, and mortality were included. RESULTS GrimAge is significantly increased by having two smoking parents, smoking in youth, and cigarette pack years in adulthood. PhenoAge and DunedinPoAm38 are associated with pack years. All three mediate some of the effect of pack years on cancer, high blood pressure, heart disease, and mortality and GrimAge and DunedinPoAm38 mediate this association on lung disease. CONCLUSIONS Results suggest epigenetic aging is one biological mechanism linking lifetime exposure to smoking with development of disease and earlier death in later life. Interventions aimed at reducing smoking in adulthood may be effective at weakening this association.
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Affiliation(s)
- Eric T Klopack
- Leonard Davis School of Gerontology, University of Southern California, 3715 McClintock Ave., Los Angeles, CA, 90089, USA.
| | - Judith E Carroll
- Cousins Center for Psychoneuroimmunology, Department of Psychiatry & Biobehavioral Sciences, Jane & Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Steve W Cole
- Cousins Center for Psychoneuroimmunology, Jane & Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Teresa E Seeman
- Division of Geriatrics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Eileen M Crimmins
- Leonard Davis School of Gerontology, University of Southern California, 3715 McClintock Ave., Los Angeles, CA, 90089, USA
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11
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Schork NJ, Beaulieu-Jones B, Liang W, Smalley S, Goetz LH. Does Modulation of an Epigenetic Clock Define a Geroprotector? ADVANCES IN GERIATRIC MEDICINE AND RESEARCH 2022; 4:e220002. [PMID: 35466328 PMCID: PMC9022671 DOI: 10.20900/agmr20220002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
There is growing interest in the development of interventions (e.g., drugs, diets, dietary supplements, behavioral therapies, etc.) that can enhance health during the aging process, prevent or delay multiple age-related diseases, and ultimately extend lifespan. However, proving that such 'geroprotectors' do what they are hypothesized to do in relevant clinical trials is not trivial. We briefly discuss some of the more salient issues surrounding the design and interpretation of clinical trials of geroprotectors, including, importantly, how one defines a geroprotector. We also discuss whether emerging surrogate endpoints, such as epigenetic clocks, should be treated as primary or secondary endpoints in such trials. Simply put, geroprotectors should provide overt health and disease prevention benefits but the time-dependent relationships between epigenetic clocks and health-related phenomena are complex and in need of further scrutiny. Therefore, studies that enable understanding of the relationships between epigenetic clocks and disease processes while simultaneously testing the efficacy of a candidate geroprotector are crucial to move the field forward.
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Affiliation(s)
- Nicholas J. Schork
- Department of Quantitative Medicine, The Translational Genomics Research Institute (TGen), 445 North Fifth Street, Phoenix, AZ 85004, USA
- Net.bio Inc, Los Angeles, CA 90403, USA
| | - Brett Beaulieu-Jones
- Net.bio Inc, Los Angeles, CA 90403, USA
- Department of Biomedical Informatics, Harvard University, Cambridge, MA 02115, USA
| | | | - Susan Smalley
- Net.bio Inc, Los Angeles, CA 90403, USA
- Department of Psychiatry and Biobehavioral Sciences, The University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Laura H. Goetz
- Department of Quantitative Medicine, The Translational Genomics Research Institute (TGen), 445 North Fifth Street, Phoenix, AZ 85004, USA
- Net.bio Inc, Los Angeles, CA 90403, USA
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12
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Beynon RA, Ingle SM, Langdon R, May M, Ness A, Martin RM, Suderman M, Ingarfield K, Marioni RE, McCartney DL, Waterboer T, Pawlita M, Relton C, Smith GD, Richmond RC. Epigenetic biomarkers of ageing are predictive of mortality risk in a longitudinal clinical cohort of individuals diagnosed with oropharyngeal cancer. Clin Epigenetics 2022; 14:1. [PMID: 34980250 PMCID: PMC8725548 DOI: 10.1186/s13148-021-01220-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 12/14/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Epigenetic clocks are biomarkers of ageing derived from DNA methylation levels at a subset of CpG sites. The difference between age predicted by these clocks and chronological age, termed "epigenetic age acceleration", has been shown to predict age-related disease and mortality. We aimed to assess the prognostic value of epigenetic age acceleration and a DNA methylation-based mortality risk score with all-cause mortality in a prospective clinical cohort of individuals with head and neck cancer: Head and Neck 5000. We investigated two markers of intrinsic epigenetic age acceleration (IEAAHorvath and IEAAHannum), one marker of extrinsic epigenetic age acceleration (EEAA), one optimised to predict physiological dysregulation (AgeAccelPheno), one optimised to predict lifespan (AgeAccelGrim) and a DNA methylation-based predictor of mortality (ZhangScore). Cox regression models were first used to estimate adjusted hazard ratios (HR) and 95% confidence intervals (CI) for associations of epigenetic age acceleration with all-cause mortality in people with oropharyngeal cancer (n = 408; 105 deaths). The added prognostic value of epigenetic markers compared to a clinical model including age, sex, TNM stage and HPV status was then evaluated. RESULTS IEAAHannum and AgeAccelGrim were associated with mortality risk after adjustment for clinical and lifestyle factors (HRs per standard deviation [SD] increase in age acceleration = 1.30 [95% CI 1.07, 1.57; p = 0.007] and 1.40 [95% CI 1.06, 1.83; p = 0.016], respectively). There was weak evidence that the addition of AgeAccelGrim to the clinical model improved 3-year mortality prediction (area under the receiver operating characteristic curve: 0.80 vs. 0.77; p value for difference = 0.069). CONCLUSION In the setting of a large, clinical cohort of individuals with head and neck cancer, our study demonstrates the potential of epigenetic markers of ageing to enhance survival prediction in people with oropharyngeal cancer, beyond established prognostic factors. Our findings have potential uses in both clinical and non-clinical contexts: to aid treatment planning and improve patient stratification.
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Affiliation(s)
- Rhona A Beynon
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Bristol, BS8 2BN, UK.
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
| | - Suzanne M Ingle
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Ryan Langdon
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Margaret May
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Andy Ness
- NIHR Bristol Biomedical Research Centre, University Hospitals Bristol and University of Bristol, Bristol, UK
| | - Richard M Martin
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Matthew Suderman
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Kate Ingarfield
- NIHR Bristol Biomedical Research Centre, University Hospitals Bristol and University of Bristol, Bristol, UK
- Centre for Trials Research, Neuadd Meirionnydd, Heath Park Way, Cardiff, UK
- Community Oral Health, University of Glasgow Dental School, Sauchiehall Street, Glasgow, UK
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Daniel L McCartney
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Tim Waterboer
- Infections and Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Michael Pawlita
- Infections and Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Caroline Relton
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Rebecca C Richmond
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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13
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Föhr T, Törmäkangas T, Lankila H, Viljanen A, Rantanen T, Ollikainen M, Kaprio J, Sillanpää E. The association between epigenetic clocks and physical functioning in older women: a three-year follow-up. J Gerontol A Biol Sci Med Sci 2021; 77:1569-1576. [PMID: 34543398 PMCID: PMC9373966 DOI: 10.1093/gerona/glab270] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Indexed: 01/16/2023] Open
Abstract
Background Epigenetic clocks are composite markers developed to predict chronological age or mortality risk from DNA methylation (DNAm) data. The present study investigated the associations between 4 epigenetic clocks (Horvath’s and Hannum’s DNAmAge and DNAm GrimAge and PhenoAge) and physical functioning during a 3-year follow-up. Method We studied 63- to 76-year-old women (N = 413) from the Finnish Twin Study on Aging. DNAm was measured from blood samples at baseline. Age acceleration (AgeAccel), that is, discrepancy between chronological age and DNAm age, was determined as residuals from linear model. Physical functioning was assessed under standardized laboratory conditions at baseline and at follow-up. A cross-sectional analysis was performed with path models, and a longitudinal analysis was conducted with repeated measures linear models. A nonrandom missing data analysis was performed. Results In comparison to the other clocks, GrimAgeAccel was more strongly associated with physical functioning. At baseline, GrimAgeAccel was associated with lower performance in the Timed Up and Go (TUG) test and the 6-minute walk test. At follow-up, significant associations were observed between GrimAgeAccel and lowered performance in the TUG, 6-minute and 10-m walk tests, and knee extension and ankle plantar flexion strength tests. Conclusions The DNAm GrimAge, a novel estimate of biological aging, associated with decline in physical functioning over the 3-year follow-up in older women. However, associations between chronological age and physical function phenotypes followed similar pattern. Current epigenetic clocks do not provide strong benefits in predicting the decline of physical functioning at least during a rather short follow-up period and restricted age range.
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Affiliation(s)
- Tiina Föhr
- Faculty of Sport and Health Sciences, Gerontology Research Center (GEREC), University of Jyväskylä, Jyväskylä, Finland
| | - Timo Törmäkangas
- Faculty of Sport and Health Sciences, Gerontology Research Center (GEREC), University of Jyväskylä, Jyväskylä, Finland
| | - Hannamari Lankila
- Faculty of Sport and Health Sciences, Gerontology Research Center (GEREC), University of Jyväskylä, Jyväskylä, Finland
| | - Anne Viljanen
- Faculty of Sport and Health Sciences, Gerontology Research Center (GEREC), University of Jyväskylä, Jyväskylä, Finland
| | - Taina Rantanen
- Faculty of Sport and Health Sciences, Gerontology Research Center (GEREC), University of Jyväskylä, Jyväskylä, Finland
| | - Miina Ollikainen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.,Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Elina Sillanpää
- Faculty of Sport and Health Sciences, Gerontology Research Center (GEREC), University of Jyväskylä, Jyväskylä, Finland.,Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
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14
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Föhr T, Waller K, Viljanen A, Sanchez R, Ollikainen M, Rantanen T, Kaprio J, Sillanpää E. Correction to: Does the epigenetic clock GrimAge predict mortality independent of genetic influences: an 18 year follow-up study in older female twin pairs. Clin Epigenetics 2021; 13:130. [PMID: 34172078 PMCID: PMC8234647 DOI: 10.1186/s13148-021-01118-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Tiina Föhr
- Faculty of Sport and Health Sciences, Gerontology Research Center (GEREC), University of Jyväskylä, P.O. Box 35 (VIV), 40014, Jyväskylä, Finland
| | - Katja Waller
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Anne Viljanen
- Faculty of Sport and Health Sciences, Gerontology Research Center (GEREC), University of Jyväskylä, P.O. Box 35 (VIV), 40014, Jyväskylä, Finland
| | - Riikka Sanchez
- Faculty of Sport and Health Sciences, Gerontology Research Center (GEREC), University of Jyväskylä, P.O. Box 35 (VIV), 40014, Jyväskylä, Finland
| | - Miina Ollikainen
- Department of Public Health, University of Helsinki, Helsinki, Finland.,Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Taina Rantanen
- Faculty of Sport and Health Sciences, Gerontology Research Center (GEREC), University of Jyväskylä, P.O. Box 35 (VIV), 40014, Jyväskylä, Finland
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Elina Sillanpää
- Faculty of Sport and Health Sciences, Gerontology Research Center (GEREC), University of Jyväskylä, P.O. Box 35 (VIV), 40014, Jyväskylä, Finland. .,Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
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