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DNA methylation changes associated with prenatal mercury exposure: A meta-analysis of prospective cohort studies from PACE consortium.
Lozano, Manuel; Yousefi, Paul; Broberg, Karin; Soler-Blasco, Raquel; Miyashita, Chihiro; Pesce, Giancarlo; Kim, Woo Jin; Rahman, Mohammad; Bakulski, Kelly M; Haug, Line S; Ikeda-Araki, Atsuko; Huel, Guy; Park, Jaehyun; Relton, Caroline; Vrijheid, Martine; Rifas-Shiman, Sheryl; Oken, Emily; Dou, John F; Kishi, Reiko; Gutzkow, Kristine B; Annesi-Maesano, Isabella; Won, Sungho; Hivert, Marie-France; Fallin, M Daniele; Vafeiadi, Marina; Ballester, Ferran; Bustamante, Mariona; Llop, Sabrina.
Afiliación
  • Lozano M; Preventive Medicine and Public Health, Food Sciences, Toxicology and Forensic Medicine Department, Universitat de València, Valencia, Spain; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain. Electronic address: manuel.loz
  • Yousefi P; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
  • Broberg K; Unit of Metals and Health, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden; Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden.
  • Soler-Blasco R; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain.
  • Miyashita C; Center for Environmental and Health Sciences, Hokkaido University, Hokkaido, Japan.
  • Pesce G; INSERM UMR1018, Université Paris-Saclay, UVSQ, Centre for Epidemiology and Public Health (CESP), Villejuif, France.
  • Kim WJ; Department of Internal Medicine and Environmental Health Center, Kangwon National University, Chuncheon, South Korea.
  • Rahman M; Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States.
  • Bakulski KM; School of Public Health, University of Michigan, Ann Arbor, MI, USA.
  • Haug LS; Norwegian Institute of Public Health, Division of Climate and Environment, Oslo, Norway.
  • Ikeda-Araki A; Center for Environmental and Health Sciences, Hokkaido University, Hokkaido, Japan; Faculty of Health Sciences, Hokkaido University, Hokkaido, Japan.
  • Huel G; INSERM UMR1018, Université Paris-Saclay, UVSQ, Centre for Epidemiology and Public Health (CESP), Villejuif, France.
  • Park J; Interdisciplinary Program of Bioinformatics, College of Natural Sciences, Seoul National University, Seoul, South Korea.
  • Relton C; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
  • Vrijheid M; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain; ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain.
  • Rifas-Shiman S; Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States.
  • Oken E; Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States.
  • Dou JF; School of Public Health, University of Michigan, Ann Arbor, MI, USA.
  • Kishi R; Center for Environmental and Health Sciences, Hokkaido University, Hokkaido, Japan.
  • Gutzkow KB; Norwegian Institute of Public Health, Division of Climate and Environment, Oslo, Norway.
  • Annesi-Maesano I; INSERM UMR1302, Montpellier University, Insitut Desbrest d'Épidémiologie et de Santé Publique (IDESP), Montpellier, France.
  • Won S; Interdisciplinary Program of Bioinformatics, College of Natural Sciences, Seoul National University, Seoul, South Korea; Department of Public Health Sciences, Seoul National University, Seoul, South Korea.
  • Hivert MF; Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States; Diabetes Unit, Massachusetts General Hospital, Boston, MA, United States.
  • Fallin MD; Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
  • Vafeiadi M; Department of Social Medicine, School of Medicine, University of Crete, Heraklion, Greece.
  • Ballester F; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain; School of Nursing, Universitat de València, Valencia, Spain.
  • Bustamante M; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain; ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain.
  • Llop S; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Environ Res ; 204(Pt B): 112093, 2022 03.
Article en En | MEDLINE | ID: mdl-34562483
ABSTRACT
Mercury (Hg) is a ubiquitous heavy metal that originates from both natural and anthropogenic sources and is transformed in the environment to its most toxicant form, methylmercury (MeHg). Recent studies suggest that MeHg exposure can alter epigenetic modifications during embryogenesis. In this study, we examined associations between prenatal MeHg exposure and levels of cord blood DNA methylation (DNAm) by meta-analysis in up to seven independent studies (n = 1462) as well as persistence of those relationships in blood from 7 to 8 year-old children (n = 794). In cord blood, we found limited evidence of differential DNAm at cg24184221 in MED31 (ß = 2.28 × 10-4, p-value = 5.87 × 10-5) in relation to prenatal MeHg exposure. In child blood, we identified differential DNAm at cg15288800 (ß = 0.004, p-value = 4.97 × 10-5), also located in MED31. This repeated link to MED31, a gene involved in lipid metabolism and RNA Polymerase II transcription function, may suggest a DNAm perturbation related to MeHg exposure that persists into early childhood. Further, we found evidence for association between prenatal MeHg exposure and child blood DNAm levels at two additional CpGs cg12204245 (ß = 0.002, p-value = 4.81 × 10-7) in GRK1 and cg02212000 (ß = -0.001, p-value = 8.13 × 10-7) in GGH. Prenatal MeHg exposure was associated with DNAm modifications that may influence health outcomes, such as cognitive or anthropometric development, in different populations.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Efectos Tardíos de la Exposición Prenatal / Mercurio / Compuestos de Metilmercurio Tipo de estudio: Etiology_studies / Observational_studies / Risk_factors_studies / Systematic_reviews Límite: Child / Child, preschool / Female / Humans / Pregnancy Idioma: En Revista: Environ Res Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Efectos Tardíos de la Exposición Prenatal / Mercurio / Compuestos de Metilmercurio Tipo de estudio: Etiology_studies / Observational_studies / Risk_factors_studies / Systematic_reviews Límite: Child / Child, preschool / Female / Humans / Pregnancy Idioma: En Revista: Environ Res Año: 2022 Tipo del documento: Article