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Socioeconomic position, lifestyle habits and biomarkers of epigenetic aging: a multi-cohort analysis.
Fiorito, Giovanni; McCrory, Cathal; Robinson, Oliver; Carmeli, Cristian; Ochoa-Rosales, Carolina; Zhang, Yan; Colicino, Elena; Dugué, Pierre-Antoine; Artaud, Fanny; McKay, Gareth J; Jeong, Ayoung; Mishra, Pashupati P; Nøst, Therese H; Krogh, Vittorio; Panico, Salvatore; Sacerdote, Carlotta; Tumino, Rosario; Palli, Domenico; Matullo, Giuseppe; Guarrera, Simonetta; Gandini, Martina; Bochud, Murielle; Dermitzakis, Emmanouil; Muka, Taulant; Schwartz, Joel; Vokonas, Pantel S; Just, Allan; Hodge, Allison M; Giles, Graham G; Southey, Melissa C; Hurme, Mikko A; Young, Ian; McKnight, Amy Jayne; Kunze, Sonja; Waldenberger, Melanie; Peters, Annette; Schwettmann, Lars; Lund, Eiliv; Baccarelli, Andrea; Milne, Roger L; Kenny, Rose A; Elbaz, Alexis; Brenner, Hermann; Kee, Frank; Voortman, Trudy; Probst-Hensch, Nicole; Lehtimäki, Terho; Elliot, Paul; Stringhini, Silvia; Vineis, Paolo.
Afiliação
  • Fiorito G; Italian Institute for Genomic Medicine (IIGM), Turin, Italy.
  • McCrory C; Equal contribution.
  • Robinson O; The Irish Longitudinal Study on Ageing, Trinity College Dublin, Dublin, Ireland.
  • Carmeli C; Equal contribution.
  • Ochoa-Rosales C; MRC-PHE Centre for Environment and Health, Imperial College London, London, UK.
  • Zhang Y; Equal contribution.
  • Colicino E; Institute of Social and Preventive Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
  • Dugué PA; Equal contribution.
  • Artaud F; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
  • McKay GJ; Centro de Vida Saludable de la Universidad de Concepción, Concepción, Chile.
  • Jeong A; Equal contribution.
  • Mishra PP; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Nøst TH; Equal contribution.
  • Krogh V; Icahn School of Medicine, Mount Sinai, New York, NY 10029, USA.
  • Panico S; Equal contribution.
  • Sacerdote C; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.
  • Tumino R; Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Victoria, Australia.
  • Palli D; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.
  • Matullo G; Equal contribution.
  • Guarrera S; CESP, Faculté de Médecine - Université Paris-Sud, Faculté de Médecine, UVSQ, Institut National de la Santé et de la Recherche Médicale, -, Université Paris, Saclay, France.
  • Gandini M; Equal contribution.
  • Bochud M; Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland.
  • Dermitzakis E; Equal contribution.
  • Muka T; Swiss Tropical and Public Health Institute, Basel, Switzerland.
  • Schwartz J; University of Basel, Basel, Switzerland.
  • Vokonas PS; Equal contribution.
  • Just A; Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33520, Finland.
  • Hodge AM; Equal contribution.
  • Giles GG; Department of Community Medicine, Faculty of Health Sciences, UiT-The Arctic University of Norway, Tromsø, Norway.
  • Southey MC; NILU Norwegian Institute for Air Research, The Fram Centre, Tromsø, Norway.
  • Hurme MA; Equal contribution.
  • Young I; Fondazione IRCCS - Istituto Nazionale dei Tumori, Milan, Italy.
  • McKnight AJ; Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy.
  • Kunze S; Piedmont Reference Centre for Epidemiology and Cancer Prevention (CPO Piemonte), Turin, Italy.
  • Waldenberger M; Cancer Registry and Histopathology Department, 'Civic - M. P. Arezzo' Hospital, ASP Ragusa, Ragusa, Italy.
  • Peters A; Istituto per lo Studio, la Prevenzione e la Rete Oncologica (ISPRO Toscana), Florence, Italy.
  • Schwettmann L; Italian Institute for Genomic Medicine (IIGM), Turin, Italy.
  • Lund E; Department of Medical Sciences, University of Torino, Torino, Italy.
  • Baccarelli A; Italian Institute for Genomic Medicine (IIGM), Turin, Italy.
  • Milne RL; Department of Medical Sciences, University of Torino, Torino, Italy.
  • Kenny RA; Environmental Epidemiological Unit, Regional Environmental Protection Agency, Piedmont Region, Torino, Italy.
  • Elbaz A; Institute of Social and Preventive Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
  • Brenner H; Institute of Social and Preventive Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
  • Kee F; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
  • Voortman T; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
  • Probst-Hensch N; Department of Environmental Health and Department of Epidemiology, Harvard T.H. School of Public Health, Boston, MA 02115, USA.
  • Lehtimäki T; Department of Epidemiology, Boston University School of Public Health, Boston, MA 02115, USA.
  • Elliot P; Icahn School of Medicine, Mount Sinai, New York, NY 10029, USA.
  • Stringhini S; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.
  • Vineis P; Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Victoria, Australia.
Aging (Albany NY) ; 11(7): 2045-2070, 2019 04 14.
Article em En | MEDLINE | ID: mdl-31009935
Differences in health status by socioeconomic position (SEP) tend to be more evident at older ages, suggesting the involvement of a biological mechanism responsive to the accumulation of deleterious exposures across the lifespan. DNA methylation (DNAm) has been proposed as a biomarker of biological aging that conserves memory of endogenous and exogenous stress during life.We examined the association of education level, as an indicator of SEP, and lifestyle-related variables with four biomarkers of age-dependent DNAm dysregulation: the total number of stochastic epigenetic mutations (SEMs) and three epigenetic clocks (Horvath, Hannum and Levine), in 18 cohorts spanning 12 countries.The four biological aging biomarkers were associated with education and different sets of risk factors independently, and the magnitude of the effects differed depending on the biomarker and the predictor. On average, the effect of low education on epigenetic aging was comparable with those of other lifestyle-related risk factors (obesity, alcohol intake), with the exception of smoking, which had a significantly stronger effect.Our study shows that low education is an independent predictor of accelerated biological (epigenetic) aging and that epigenetic clocks appear to be good candidates for disentangling the biological pathways underlying social inequalities in healthy aging and longevity.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Envelhecimento / Epigênese Genética / Estilo de Vida Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Envelhecimento / Epigênese Genética / Estilo de Vida Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male Idioma: En Ano de publicação: 2019 Tipo de documento: Article