151
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Gallego-Paüls M, Hernández-Ferrer C, Bustamante M, Basagaña X, Barrera-Gómez J, Lau CHE, Siskos AP, Vives-Usano M, Ruiz-Arenas C, Wright J, Slama R, Heude B, Casas M, Grazuleviciene R, Chatzi L, Borràs E, Sabidó E, Carracedo Á, Estivill X, Urquiza J, Coen M, Keun HC, González JR, Vrijheid M, Maitre L. Variability of multi-omics profiles in a population-based child cohort. BMC Med 2021; 19:166. [PMID: 34289836 PMCID: PMC8296694 DOI: 10.1186/s12916-021-02027-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 06/08/2021] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Multiple omics technologies are increasingly applied to detect early, subtle molecular responses to environmental stressors for future disease risk prevention. However, there is an urgent need for further evaluation of stability and variability of omics profiles in healthy individuals, especially during childhood. METHODS We aimed to estimate intra-, inter-individual and cohort variability of multi-omics profiles (blood DNA methylation, gene expression, miRNA, proteins and serum and urine metabolites) measured 6 months apart in 156 healthy children from five European countries. We further performed a multi-omics network analysis to establish clusters of co-varying omics features and assessed the contribution of key variables (including biological traits and sample collection parameters) to omics variability. RESULTS All omics displayed a large range of intra- and inter-individual variability depending on each omics feature, although all presented a highest median intra-individual variability. DNA methylation was the most stable profile (median 37.6% inter-individual variability) while gene expression was the least stable (6.6%). Among the least stable features, we identified 1% cross-omics co-variation between CpGs and metabolites (e.g. glucose and CpGs related to obesity and type 2 diabetes). Explanatory variables, including age and body mass index (BMI), explained up to 9% of serum metabolite variability. CONCLUSIONS Methylation and targeted serum metabolomics are the most reliable omics to implement in single time-point measurements in large cross-sectional studies. In the case of metabolomics, sample collection and individual traits (e.g. BMI) are important parameters to control for improved comparability, at the study design or analysis stage. This study will be valuable for the design and interpretation of epidemiological studies that aim to link omics signatures to disease, environmental exposures, or both.
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Affiliation(s)
- Marta Gallego-Paüls
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consorcio de Investigacion Biomedica en Red de Epidemiologia y Salud Publica (CIBERESP), Madrid, Spain
| | - Carles Hernández-Ferrer
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consorcio de Investigacion Biomedica en Red de Epidemiologia y Salud Publica (CIBERESP), Madrid, Spain
| | - Mariona Bustamante
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consorcio de Investigacion Biomedica en Red de Epidemiologia y Salud Publica (CIBERESP), Madrid, Spain
- Center for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Xavier Basagaña
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consorcio de Investigacion Biomedica en Red de Epidemiologia y Salud Publica (CIBERESP), Madrid, Spain
| | - Jose Barrera-Gómez
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consorcio de Investigacion Biomedica en Red de Epidemiologia y Salud Publica (CIBERESP), Madrid, Spain
| | - Chung-Ho E Lau
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington, London, UK
| | - Alexandros P Siskos
- Cancer Metabolism & Systems Toxicology Group, Division of Cancer, Department of Surgery & Cancer and Division of Systems Medicine, Department of Metabolism, Digestion & Reproduction, Imperial College London, London, UK
| | - Marta Vives-Usano
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consorcio de Investigacion Biomedica en Red de Epidemiologia y Salud Publica (CIBERESP), Madrid, Spain
- Center for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Carlos Ruiz-Arenas
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consorcio de Investigacion Biomedica en Red de Epidemiologia y Salud Publica (CIBERESP), Madrid, Spain
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Remy Slama
- Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Institute for Advanced Biosciences (IAB), Inserm, CNRS, Université Grenoble Alpes, Grenoble, France
| | - Barbara Heude
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, F-75004, Paris, France
| | - Maribel Casas
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consorcio de Investigacion Biomedica en Red de Epidemiologia y Salud Publica (CIBERESP), Madrid, Spain
| | | | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Eva Borràs
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Center for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Eduard Sabidó
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Center for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Ángel Carracedo
- Medicine Genomics Group, Centro de Investigación Biomédica en Red Enfermedades Raras (CIBERER), University of Santiago de Compostela, CEGEN-PRB3, Santiago de Compostela, Spain
- Galician Foundation of Genomic Medicine, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Servicio Gallego de Salud (SERGAS), Santiago de Compostela, Galicia, Spain
| | - Xavier Estivill
- Center for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Jose Urquiza
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consorcio de Investigacion Biomedica en Red de Epidemiologia y Salud Publica (CIBERESP), Madrid, Spain
| | - Muireann Coen
- Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington, London, UK
- Oncology Safety, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge, UK
| | - Hector C Keun
- Cancer Metabolism & Systems Toxicology Group, Division of Cancer, Department of Surgery & Cancer and Division of Systems Medicine, Department of Metabolism, Digestion & Reproduction, Imperial College London, London, UK
| | - Juan R González
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consorcio de Investigacion Biomedica en Red de Epidemiologia y Salud Publica (CIBERESP), Madrid, Spain
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consorcio de Investigacion Biomedica en Red de Epidemiologia y Salud Publica (CIBERESP), Madrid, Spain
| | - Léa Maitre
- ISGlobal, Barcelona, Spain.
- Universitat Pompeu Fabra (UPF), Barcelona, Spain.
- Consorcio de Investigacion Biomedica en Red de Epidemiologia y Salud Publica (CIBERESP), Madrid, Spain.
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152
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Luo M, Meehan AJ, Walton E, Röder S, Herberth G, Zenclussen AC, Cosín-Tomás M, Sunyer J, Mulder RH, Cortes Hidalgo AP, Bakermans-Kranenburg MJ, Felix JF, Relton C, Suderman M, Pappa I, Kok R, Tiemeier H, van IJzendoorn MH, Barker ED, Cecil CAM. Neonatal DNA methylation and childhood low prosocial behavior: An epigenome-wide association meta-analysis. Am J Med Genet B Neuropsychiatr Genet 2021; 186:228-241. [PMID: 34170065 DOI: 10.1002/ajmg.b.32862] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 05/26/2021] [Accepted: 06/02/2021] [Indexed: 11/10/2022]
Abstract
Low prosocial behavior in childhood has been consistently linked to later psychopathology, with evidence supporting the influence of both genetic and environmental factors on its development. Although neonatal DNA methylation (DNAm) has been found to prospectively associate with a range of psychological traits in childhood, its potential role in prosocial development has yet to be investigated. This study investigated prospective associations between cord blood DNAm at birth and low prosocial behavior within and across four longitudinal birth cohorts from the Pregnancy And Childhood Epigenetics (PACE) Consortium. We examined (a) developmental trajectories of "chronic-low" versus "typical" prosocial behavior across childhood in a case-control design (N = 2,095), and (b) continuous "low prosocial" scores at comparable cross-cohort time-points (N = 2,121). Meta-analyses were performed to examine differentially methylated positions and regions. At the cohort-specific level, three CpGs were found to associate with chronic low prosocial behavior; however, none of these associations was replicated in another cohort. Meta-analysis revealed no epigenome-wide significant CpGs or regions. Overall, we found no evidence for associations between DNAm patterns at birth and low prosocial behavior across childhood. Findings highlight the importance of employing multi-cohort approaches to replicate epigenetic associations and reduce the risk of false positive discoveries.
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Affiliation(s)
- Mannan Luo
- Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands.,Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Alan J Meehan
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.,Yale Child Study Center, Yale School of Medicine, New Haven, USA
| | - Esther Walton
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.,Department of Psychology, University of Bath, Bath, UK
| | - Stefan Röder
- Department for Environmental Immunology, Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany
| | - Gunda Herberth
- Department for Environmental Immunology, Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany
| | - Ana C Zenclussen
- Department for Environmental Immunology, Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany
| | - Marta Cosín-Tomás
- ISGlobal, Barcelona, Catalonia, Spain.,Universitat Pompeu Fabra, Barcelona, Catalonia, Spain.,Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Jordi Sunyer
- ISGlobal, Barcelona, Catalonia, Spain.,Universitat Pompeu Fabra, Barcelona, Catalonia, Spain.,Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,IMIM Parc Salut Mar, Barcelona, Catalonia, Spain
| | - Rosa H Mulder
- Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Andrea P Cortes Hidalgo
- Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | | | - Janine F Felix
- Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Caroline Relton
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Matthew Suderman
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Irene Pappa
- Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Rianne Kok
- Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Social and Behavioral Science, Harvard TH Chan School of Public Health, Boston, Massachusetts, USA
| | - Marinus H van IJzendoorn
- Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands.,Department of Clinical, Educational and Health Psychology, Faculty of Brain Sciences, University College London, London, UK
| | - Edward D Barker
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Charlotte A M Cecil
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.,Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.,Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
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153
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Garcia E, Stratakis N, Valvi D, Maitre L, Varo N, Aasvang GM, Andrusaityte S, Basagana X, Casas M, de Castro M, Fossati S, Grazuleviciene R, Heude B, Hoek G, Krog NH, McEachan R, Nieuwenhuijsen M, Roumeliotaki T, Slama R, Urquiza J, Vafeiadi M, Vos MB, Wright J, Conti DV, Berhane K, Vrijheid M, McConnell R, Chatzi L. Prenatal and childhood exposure to air pollution and traffic and the risk of liver injury in European children. Environ Epidemiol 2021; 5:e153. [PMID: 34131614 PMCID: PMC8196121 DOI: 10.1097/ee9.0000000000000153] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 03/25/2021] [Indexed: 11/26/2022] Open
Abstract
Nonalcoholic fatty liver disease is the most prevalent pediatric chronic liver disease. Experimental studies suggest effects of air pollution and traffic exposure on liver injury. We present the first large-scale human study to evaluate associations of prenatal and childhood air pollution and traffic exposure with liver injury. METHODS Study population included 1,102 children from the Human Early Life Exposome project. Established liver injury biomarkers, including alanine aminotransferase, aspartate aminotransferase, gamma-glutamyl transferase, and cytokeratin-18, were measured in serum between ages 6-10 years. Air pollutant exposures included nitrogen dioxide, particulate matter <10 μm (PM10), and <2.5 μm. Traffic measures included traffic density on nearest road, traffic load in 100-m buffer, and inverse distance to nearest road. Exposure assignments were made to residential address during pregnancy (prenatal) and residential and school addresses in year preceding follow-up (childhood). Childhood indoor air pollutant exposures were also examined. Generalized additive models were fitted adjusting for confounders. Interactions by sex and overweight/obese status were examined. RESULTS Prenatal and childhood exposures to air pollution and traffic were not associated with child liver injury biomarkers. There was a significant interaction between prenatal ambient PM10 and overweight/obese status for alanine aminotransferase, with stronger associations among children who were overweight/obese. There was no evidence of interaction with sex. CONCLUSION This study found no evidence for associations between prenatal or childhood air pollution or traffic exposure with liver injury biomarkers in children. Findings suggest PM10 associations maybe higher in children who are overweight/obese, consistent with the multiple-hits hypothesis for nonalcoholic fatty liver disease pathogenesis.
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Affiliation(s)
- Erika Garcia
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA
| | - Nikos Stratakis
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA
| | - Damaskini Valvi
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Léa Maitre
- NA, ISGlobal, Universitat Pompeu Fabra (UPF), CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Nerea Varo
- Clinical Biochemistry Department, Clínica Universidad de Navarra, Pamplona, Spain
| | - Gunn Marit Aasvang
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Sandra Andrusaityte
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - Xavier Basagana
- NA, ISGlobal, Universitat Pompeu Fabra (UPF), CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Maribel Casas
- NA, ISGlobal, Universitat Pompeu Fabra (UPF), CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Montserrat de Castro
- NA, ISGlobal, Universitat Pompeu Fabra (UPF), CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Serena Fossati
- NA, ISGlobal, Universitat Pompeu Fabra (UPF), CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | | | - Barbara Heude
- NA, Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, Paris, France
| | - Gerard Hoek
- Department Population Health Sciences, Utrecht University, Utrecht, Netherlands
| | - Norun Hjertager Krog
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Rosemary McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, United Kingdom
| | - Mark Nieuwenhuijsen
- NA, ISGlobal, Universitat Pompeu Fabra (UPF), CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Theano Roumeliotaki
- Department of Social Medicine, University of Crete, Heraklion, Crete, Greece
| | - Rémy Slama
- Department of Prevention and Treatment of Chronic Diseases, Institute for Advanced Biosciences (IAB), INSERM U1209, CNRS UMR 5309, Université Grenoble Alpes, Grenoble, France
| | - Jose Urquiza
- NA, ISGlobal, Universitat Pompeu Fabra (UPF), CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Marina Vafeiadi
- Department of Social Medicine, University of Crete, Heraklion, Crete, Greece
| | - Miriam B. Vos
- Department of Pediatrics, Emory University, Atlanta, GA
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, United Kingdom
| | - David V. Conti
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA
| | - Kiros Berhane
- Department of Biostatistics, Columbia University, New York, NY
| | - Martine Vrijheid
- NA, ISGlobal, Universitat Pompeu Fabra (UPF), CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Rob McConnell
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA
| | - Lida Chatzi
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA
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154
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Sammallahti S, Cortes Hidalgo AP, Tuominen S, Malmberg A, Mulder RH, Brunst KJ, Alemany S, McBride NS, Yousefi P, Heiss JA, McRae N, Page CM, Jin J, Pesce G, Caramaschi D, Rifas-Shiman SL, Koen N, Adams CD, Magnus MC, Baïz N, Ratanatharathorn A, Czamara D, Håberg SE, Colicino E, Baccarelli AA, Cardenas A, DeMeo DL, Lawlor DA, Relton CL, Felix JF, van IJzendoorn MH, Bakermans-Kranenburg MJ, Kajantie E, Räikkönen K, Sunyer J, Sharp GC, Houtepen LC, Nohr EA, Sørensen TIA, Téllez-Rojo MM, Wright RO, Annesi-Maesano I, Wright J, Hivert MF, Wright RJ, Zar HJ, Stein DJ, London SJ, Cecil CAM, Tiemeier H, Lahti J. Maternal anxiety during pregnancy and newborn epigenome-wide DNA methylation. Mol Psychiatry 2021; 26:1832-1845. [PMID: 33414500 PMCID: PMC8595870 DOI: 10.1038/s41380-020-00976-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 10/31/2020] [Accepted: 11/30/2020] [Indexed: 01/29/2023]
Abstract
Maternal anxiety during pregnancy is associated with adverse foetal, neonatal, and child outcomes, but biological mechanisms remain unclear. Altered foetal DNA methylation (DNAm) has been proposed as a potential underlying mechanism. In the current study, we performed a meta-analysis to examine the associations between maternal anxiety, measured prospectively during pregnancy, and genome-wide DNAm from umbilical cord blood. Sixteen non-overlapping cohorts from 12 independent longitudinal studies of the Pregnancy And Childhood Epigenetics Consortium participated, resulting in a combined dataset of 7243 mother-child dyads. We examined prenatal anxiety in relation to genome-wide DNAm and differentially methylated regions. We observed no association between the general symptoms of anxiety during pregnancy or pregnancy-related anxiety, and DNAm at any of the CpG sites, after multiple-testing correction. Furthermore, we identify no differentially methylated regions associated with maternal anxiety. At the cohort-level, of the 21 associations observed in individual cohorts, none replicated consistently in the other cohorts. In conclusion, contrary to some previous studies proposing cord blood DNAm as a promising potential mechanism explaining the link between maternal anxiety during pregnancy and adverse outcomes in offspring, we found no consistent evidence for any robust associations between maternal anxiety and DNAm in cord blood. Larger studies and analysis of DNAm in other tissues may be needed to establish subtle or subgroup-specific associations between maternal anxiety and the foetal epigenome.
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Affiliation(s)
- Sara Sammallahti
- Erasmus MC, University Medical Center Rotterdam, Department of Adolescent and Child Psychiatry and Psychology, Rotterdam, The Netherlands
- Erasmus MC, University Medical Center Rotterdam, Generation R Study Group, Rotterdam, The Netherlands
- Harvard T.H. Chan School of Public Health, Department of Social and Behavioral Science, Boston, MA, USA
- University of Helsinki, Department of Psychology and Logopedics, Helsinki, Finland
| | - Andrea P Cortes Hidalgo
- Erasmus MC, University Medical Center Rotterdam, Department of Adolescent and Child Psychiatry and Psychology, Rotterdam, The Netherlands
- Erasmus MC, University Medical Center Rotterdam, Generation R Study Group, Rotterdam, The Netherlands
| | - Samuli Tuominen
- University of Helsinki, Department of Psychology and Logopedics, Helsinki, Finland
| | - Anni Malmberg
- University of Helsinki, Department of Psychology and Logopedics, Helsinki, Finland
| | - Rosa H Mulder
- Erasmus MC, University Medical Center Rotterdam, Department of Adolescent and Child Psychiatry and Psychology, Rotterdam, The Netherlands
- Erasmus MC, University Medical Center Rotterdam, Generation R Study Group, Rotterdam, The Netherlands
- Leiden University, Institute of Education and Child Studies, Leiden, The Netherlands
| | - Kelly J Brunst
- University of Cincinnati, College of Medicine, Department of Environmental Health, Cincinnati, OH, USA
| | - Silvia Alemany
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Nancy S McBride
- University of Bristol, MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, Bristol, UK
| | - Paul Yousefi
- University of Bristol, MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, Bristol, UK
| | - Jonathan A Heiss
- Icahn School of Medicine at Mount Sinai, Department of Environmental Medicine and Public Health, New York, NY, USA
| | - Nia McRae
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Christian M Page
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
- Oslo Centre for Biostatistics and Epidemiology, Oslo University Hospital, Oslo, Norway
| | | | - Giancarlo Pesce
- INSERM UMR-S 1136, EPAR, Saint-Antoine Medical School, Paris, France
- Sorbonne Université, Epidemiology of Allergic and Respiratory Diseases Department (EPAR), Pierre Louis Institute of Epidemiology and Public Health (IPLESP), Paris, France
| | - Doretta Caramaschi
- University of Bristol, MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, Bristol, UK
| | - Sheryl L Rifas-Shiman
- Harvard Medical School, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Nastassja Koen
- University of Cape Town, Department of Psychiatry and Mental Health, Cape Town, South Africa
- South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, Cape Town, South Africa
- University of Cape Town, Neuroscience Institute, Cape Town, South Africa
| | - Charleen D Adams
- Beckman Research Institute of City of Hope, Department of Population Sciences, Duarte, CA, USA
| | - Maria C Magnus
- University of Bristol, MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, Bristol, UK
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Nour Baïz
- INSERM UMR-S 1136, EPAR, Saint-Antoine Medical School, Paris, France
- Sorbonne Université, Epidemiology of Allergic and Respiratory Diseases Department (EPAR), Pierre Louis Institute of Epidemiology and Public Health (IPLESP), Paris, France
| | - Andrew Ratanatharathorn
- Columbia University, Department of Epidemiology, New York City, NY, USA
- Harvard T.H. Chan School of Public Health, Department of Epidemiology, Boston, MA, USA
| | - Darina Czamara
- Max-Planck-Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany
| | - Siri E Håberg
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Elena Colicino
- Icahn School of Medicine at Mount Sinai, Department of Environmental Medicine and Public Health, New York, NY, USA
| | - Andrea A Baccarelli
- Columbia University Mailman School of Public Health, Precision Environmental Health Lab, New York, NY, USA
| | - Andres Cardenas
- University of California, Division of Environmental Health Sciences, School of Public Health, Berkeley, CA, USA
| | - Dawn L DeMeo
- Brigham and Women's Hospital, Channing Division of Network Medicine, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Deborah A Lawlor
- University of Bristol, MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, Bristol, UK
| | - Caroline L Relton
- University of Bristol, MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, Bristol, UK
| | - Janine F Felix
- Erasmus MC, University Medical Center Rotterdam, Generation R Study Group, Rotterdam, The Netherlands
- Erasmus MC, University Medical Center Rotterdam, Department of Pediatrics, Rotterdam, The Netherlands
| | - Marinus H van IJzendoorn
- Erasmus University Rotterdam, Department of Psychology, Education, and Child Studies, Rotterdam, The Netherlands
- University of Cambridge, School of Clinical Medicine, Cambridge, UK
| | - Marian J Bakermans-Kranenburg
- Leiden University, Leiden Institute for Brain and Cognition, Leiden, The Netherlands
- Vrije Universiteit Amsterdam, Clinical Child & Family Studies, Amsterdam, The Netherlands
| | - Eero Kajantie
- Finnish Institute for Health and Welfare, Helsinki, Finland
- Oulu University Hospital and University of Oulu, PEDEGO Research Unit, MRC Oulu, Oulu, Finland
- Children's Hospital, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
- Norwegian University of Science and Technology, Department of Clinical and Molecular Medicine, Trondheim, Norway
| | - Katri Räikkönen
- University of Helsinki, Department of Psychology and Logopedics, Helsinki, Finland
| | - Jordi Sunyer
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Gemma C Sharp
- University of Bristol, MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, Bristol, UK
| | - Lotte C Houtepen
- University of Bristol, MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, Bristol, UK
| | - Ellen A Nohr
- University of Southern Denmark, Institute of Clinical Research and Department of Gynaecology and Obstetrics, Odense, Denmark
| | - Thorkild I A Sørensen
- University of Bristol, MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, Bristol, UK
- University of Copenhagen, Faculty of Health and Medical Sciences, Department of Public Health, Copenhagen, Denmark
- University of Copenhagen, Faculty of Medical and Health Sciences, Novo Nordisk Foundation Center for Basic Metabolic Research, Copenhagen, Denmark
| | - Martha M Téllez-Rojo
- National Institute of Public Health, Center for Nutrition and Health Research, Cuernavaca, Mor, Mexico
| | | | - Isabella Annesi-Maesano
- INSERM UMR-S 1136, EPAR, Saint-Antoine Medical School, Paris, France
- Sorbonne Université, Epidemiology of Allergic and Respiratory Diseases Department (EPAR), Pierre Louis Institute of Epidemiology and Public Health (IPLESP), Paris, France
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals, NHS Foundation Trust, Bradford, UK
| | - Marie-France Hivert
- Harvard Medical School, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Massachusetts General Hospital, Diabetes Unit, Boston, MA, USA
| | - Rosalind J Wright
- Icahn School of Medicine at Mount Sinai, Environmental Medicine & Public Health, Institute for Exposomic Research, New York, NY, USA
| | - Heather J Zar
- University of Cape Town, Department of Paediatrics and Child Health, Cape Town, South Africa
- South African Medical Research Council (SAMRC) Unit on Child and Adolescent Health, Cape Town, Cape Town, South Africa
| | - Dan J Stein
- University of Cape Town, Department of Psychiatry and Mental Health, Cape Town, South Africa
- South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, Cape Town, South Africa
- University of Cape Town, Neuroscience Institute, Cape Town, South Africa
| | - Stephanie J London
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Charlotte A M Cecil
- Erasmus MC, University Medical Center Rotterdam, Department of Adolescent and Child Psychiatry and Psychology, Rotterdam, The Netherlands
- Erasmus MC, University Medical Center Rotterdam, Generation R Study Group, Rotterdam, The Netherlands
- Erasmus MC, University Medical Center Rotterdam, Department of Epidemiology, Rotterdam, The Netherlands
- Leiden University Medical Center, Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden, The Netherlands
| | - Henning Tiemeier
- Erasmus MC, University Medical Center Rotterdam, Department of Adolescent and Child Psychiatry and Psychology, Rotterdam, The Netherlands.
- Erasmus MC, University Medical Center Rotterdam, Generation R Study Group, Rotterdam, The Netherlands.
- Harvard T.H. Chan School of Public Health, Department of Social and Behavioral Science, Boston, MA, USA.
| | - Jari Lahti
- University of Helsinki, Department of Psychology and Logopedics, Helsinki, Finland
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155
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van Dongen J, Hagenbeek FA, Suderman M, Roetman PJ, Sugden K, Chiocchetti AG, Ismail K, Mulder RH, Hafferty JD, Adams MJ, Walker RM, Morris SW, Lahti J, Küpers LK, Escaramis G, Alemany S, Jan Bonder M, Meijer M, Ip HF, Jansen R, Baselmans BML, Parmar P, Lowry E, Streit F, Sirignano L, Send TS, Frank J, Jylhävä J, Wang Y, Mishra PP, Colins OF, Corcoran DL, Poulton R, Mill J, Hannon E, Arseneault L, Korhonen T, Vuoksimaa E, Felix JF, Bakermans-Kranenburg MJ, Campbell A, Czamara D, Binder E, Corpeleijn E, Gonzalez JR, Grazuleviciene R, Gutzkow KB, Evandt J, Vafeiadi M, Klein M, van der Meer D, Ligthart L, Kluft C, Davies GE, Hakulinen C, Keltikangas-Järvinen L, Franke B, Freitag CM, Konrad K, Hervas A, Fernández-Rivas A, Vetro A, Raitakari O, Lehtimäki T, Vermeiren R, Strandberg T, Räikkönen K, Snieder H, Witt SH, Deuschle M, Pedersen NL, Hägg S, Sunyer J, Franke L, Kaprio J, Ollikainen M, Moffitt TE, Tiemeier H, van IJzendoorn MH, Relton C, Vrijheid M, Sebert S, Jarvelin MR, Caspi A, Evans KL, McIntosh AM, Bartels M, Boomsma DI. DNA methylation signatures of aggression and closely related constructs: A meta-analysis of epigenome-wide studies across the lifespan. Mol Psychiatry 2021; 26:2148-2162. [PMID: 33420481 PMCID: PMC8263810 DOI: 10.1038/s41380-020-00987-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 11/04/2020] [Accepted: 12/04/2020] [Indexed: 01/06/2023]
Abstract
DNA methylation profiles of aggressive behavior may capture lifetime cumulative effects of genetic, stochastic, and environmental influences associated with aggression. Here, we report the first large meta-analysis of epigenome-wide association studies (EWAS) of aggressive behavior (N = 15,324 participants). In peripheral blood samples of 14,434 participants from 18 cohorts with mean ages ranging from 7 to 68 years, 13 methylation sites were significantly associated with aggression (alpha = 1.2 × 10-7; Bonferroni correction). In cord blood samples of 2425 children from five cohorts with aggression assessed at mean ages ranging from 4 to 7 years, 83% of these sites showed the same direction of association with childhood aggression (r = 0.74, p = 0.006) but no epigenome-wide significant sites were found. Top-sites (48 at a false discovery rate of 5% in the peripheral blood meta-analysis or in a combined meta-analysis of peripheral blood and cord blood) have been associated with chemical exposures, smoking, cognition, metabolic traits, and genetic variation (mQTLs). Three genes whose expression levels were associated with top-sites were previously linked to schizophrenia and general risk tolerance. At six CpGs, DNA methylation variation in blood mirrors variation in the brain. On average 44% (range = 3-82%) of the aggression-methylation association was explained by current and former smoking and BMI. These findings point at loci that are sensitive to chemical exposures with potential implications for neuronal functions. We hope these results to be a starting point for studies leading to applications as peripheral biomarkers and to reveal causal relationships with aggression and related traits.
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Affiliation(s)
- Jenny van Dongen
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
| | - Fiona A Hagenbeek
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Matthew Suderman
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- MRC Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Peter J Roetman
- Curium-LUMC, Department of Child and Adolescent Psychiatry, Leiden University Medical Center, Oegstgeest, The Netherlands
| | - Karen Sugden
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
| | - Andreas G Chiocchetti
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Goethe-Universität, Frankfurt am Main, Germany
| | - Khadeeja Ismail
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Rosa H Mulder
- Institute of Education and Child Studies, Leiden University, Leiden, The Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | | | - Mark J Adams
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Rosie M Walker
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Stewart W Morris
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Jari Lahti
- Turku Institute for Advanced Studies, University of Turku, Turku, Finland
- Department of Psychology and logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Leanne K Küpers
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, The Netherlands
| | - Georgia Escaramis
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- Department of Biomedical Science, Faculty of Medicine and Health Science, University of Barcelona, Barcelona, Spain
- Research Group on Statistics, Econometrics and Health (GRECS), UdG, Girona, Spain
| | - Silvia Alemany
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Marc Jan Bonder
- Department of Genetics, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Mandy Meijer
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Hill F Ip
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Rick Jansen
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Bart M L Baselmans
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Priyanka Parmar
- Center for Life Course Health Research, University of Oulu, P.O. Box 5000, 90014, Oulu, Finland
- Biocenter Oulu, University of Oulu, P.O. Box 5000, 90014, Oulu, Finland
| | - Estelle Lowry
- Center for Life Course Health Research, University of Oulu, P.O. Box 5000, 90014, Oulu, Finland
- Queen's University Belfast, Belfast, UK
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Lea Sirignano
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Tabea S Send
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Juulia Jylhävä
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Yunzhang Wang
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Pashupati Prasad Mishra
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33520, Finland
| | - Olivier F Colins
- Curium-LUMC, Department of Child and Adolescent Psychiatry, Leiden University Medical Center, Oegstgeest, The Netherlands
- Department of Special Needs Education, Ghent University, Ghent, Belgium
| | - David L Corcoran
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Jonathan Mill
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Eilis Hannon
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Louise Arseneault
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Tellervo Korhonen
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Eero Vuoksimaa
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Janine F Felix
- Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | | | - Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Darina Czamara
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Kraepelinstr. 2-10, 80804, Munich, Germany
| | - Elisabeth Binder
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Kraepelinstr. 2-10, 80804, Munich, Germany
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, 12 Executive Park Dr, Atlanta, GA, 30329, USA
| | - Eva Corpeleijn
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, The Netherlands
| | - Juan R Gonzalez
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Regina Grazuleviciene
- Department of Environmental Sciences, Vytautas Magnus University, K. Donelaicio str. 58, 44248, Kaunas, Lithuania
| | - Kristine B Gutzkow
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Jorunn Evandt
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Marina Vafeiadi
- Department of Social Medicine, University of Crete, Heraklion, Greece
| | - Marieke Klein
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, The Netherlands
| | - Dennis van der Meer
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Lannie Ligthart
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | - Gareth E Davies
- Avera Institute for Human Genetics, 3720 W. 69th Street, Sioux Falls, SD, 57108, USA
| | - Christian Hakulinen
- Department of Psychology and logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | | | - Barbara Franke
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Christine M Freitag
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Goethe-Universität, Frankfurt am Main, Germany
| | - Kerstin Konrad
- University Hospital, RWTH Aachen, Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Aachen, Germany
- JARA-Brain Institute II, Molecular Neuroscience and Neuroimaging (INM-11), RWTH Aachen & Research Centre Juelich, Juelich, Germany
| | - Amaia Hervas
- Hospital Universitario Mutua de Terrassa, Child and Adolescent Mental Health Service, Barcelona, Spain
| | | | - Agnes Vetro
- Szeged University, Department of Pediatrics and Pediatrics health center, Child and Adolescent Psychiatry, Szeged, Hungary
| | - 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
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33520, Finland
| | - Robert Vermeiren
- Curium-LUMC, Department of Child and Adolescent Psychiatry, Leiden University Medical Center, Oegstgeest, The Netherlands
- Youz, Parnassia Group, The Hague, The Netherlands
| | - Timo Strandberg
- Helsinki University Central Hospital, Geriatrics, Helsinki, Finland
| | - Katri Räikkönen
- Department of Psychology and logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Harold Snieder
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, The Netherlands
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Michael Deuschle
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sara Hägg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jordi Sunyer
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Lude Franke
- Department of Genetics, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Miina Ollikainen
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Terrie E Moffitt
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Social and Behavioral Science, Harvard TH Chan School of Public Health, Boston, USA
| | - Marinus H van IJzendoorn
- Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands
- Department of Clinical, Educational and Health Psychology, UCL, University of London, London, UK
| | - Caroline Relton
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- MRC Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Sylvain Sebert
- Center for Life Course Health Research, University of Oulu, P.O. Box 5000, 90014, Oulu, Finland
- Biocenter Oulu, University of Oulu, P.O. Box 5000, 90014, Oulu, Finland
- Section of Genomics of Common Disease, Department of Medicine, Imperial College London, Hammersmith Hospital Campus, Burlington Danes Building, Du Cane Road, London, W12 0NN, UK
| | - Marjo-Riitta Jarvelin
- Center for Life Course Health Research, University of Oulu, P.O. Box 5000, 90014, Oulu, Finland
- Biocenter Oulu, University of Oulu, P.O. Box 5000, 90014, Oulu, Finland
- MRC-PHE Centre for Environment and Health, Imperial College London, Hammersmith Hospital Campus, Burlington Danes Building, Du Cane Road, London, W12 0NN, UK
| | - Avshalom Caspi
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Kathryn L Evans
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | | | - Meike Bartels
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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156
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Freire C, Suárez B, Vela-Soria F, Castiello F, Reina-Pérez I, Andersen HR, Olea N, Fernández MF. Urinary metabolites of non-persistent pesticides and serum hormones in Spanish adolescent males. ENVIRONMENTAL RESEARCH 2021; 197:111016. [PMID: 33771511 DOI: 10.1016/j.envres.2021.111016] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 03/09/2021] [Accepted: 03/10/2021] [Indexed: 06/12/2023]
Abstract
OBJECTIVE To assess the relationship of urinary concentrations of ethylenethiourea (ETU), the main degradation product of ethylene bis-dithiocarbamate fungicides, 3-phenoxybenzoic acid (3-PBA), a common metabolite of many pyrethroids, and 1-naphthol (1N), a metabolite of the carbamate insecticide carbaryl, with hormone concentrations in adolescent males; and to examine interactions between pesticide metabolites and polymorphisms in xenobiotic metabolizing enzymes, including CYP2C19 and CYP2D6, in relation to hormone concentrations. METHODS A cross-sectional study was conducted in 134 males from the Spanish Environment and Childhood (INMA)-Granada cohort. Urine and serum samples were collected from participants during the same clinical visit at the age of 15-17 years. First morning urine void was analyzed for concentrations of ETU, 3-PBA, and 1N. Serum was analyzed for concentrations of reproductive hormones (testosterone, 17β-estradiol [E2], dehydroepiandrosterone sulfate [DHEAS], sex hormone binding globulin [SHBG], luteinizing hormone [LH], follicle stimulating hormone [FSH], anti-Müllerian hormone [AMH], and prolactin), thyroid hormones (free thyroxine [FT4], total triiodothyronine [TT3], and thyroid stimulating hormone [TSH]), insulin growth factor 1 (IGF-1), adrenocorticotropic hormone (ACTH), and cortisol. CYP2C19 G681A and CYP2D6 G1846A polymorphisms were determined in blood from 117 participants. Multiple linear regression, interaction terms, and stratified analyses were performed. RESULTS Urinary ETU was detected in 74.6% of participants, 1N in 38.1%, and 3-PBA in 19.4%. Positive associations between detectable 3-PBA and TT3 and between detectable 1N and DHEAS were found, and marginally-significant associations of 1N with reduced E2 and FSH were observed. Poor CYP2C19 and CYP2D6 metabolizers (GA and AA genotype carriers) showed a greater increase in DHEAS for detected versus undetected 1N compared with GG genotype carriers. Poor CYP2D6 metabolizers (1846 GA and AA genotypes) evidenced increased cortisol for detected versus undetected ETU. CONCLUSIONS The associations observed between urinary pesticide metabolites and altered thyroid and reproductive hormones are novel and should be verified in studies with larger sample size. Further research on gene-environment interactions is warranted to establish individual susceptibility to pesticides and the risk of adverse health effects.
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Affiliation(s)
- Carmen Freire
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012, Granada, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Spain; Biomedical Research Center (CIBM), University of Granada, 18100, Granada, Spain.
| | - Beatriz Suárez
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012, Granada, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Spain; Biomedical Research Center (CIBM), University of Granada, 18100, Granada, Spain.
| | - Fernando Vela-Soria
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012, Granada, Spain.
| | - Francesca Castiello
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012, Granada, Spain; Unidad de Gestión Clínica (UGC) de Pediatría, Hospital Universitario San Cecilio, 18016, Granada, Spain.
| | - Iris Reina-Pérez
- Biomedical Research Center (CIBM), University of Granada, 18100, Granada, Spain; Department of Radiology and Physical Medicine, School of Medicine, University of Granada, 18071, Granada, Spain.
| | - Helle R Andersen
- Department of Clinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.
| | - Nicolás Olea
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012, Granada, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Spain; Biomedical Research Center (CIBM), University of Granada, 18100, Granada, Spain; Department of Radiology and Physical Medicine, School of Medicine, University of Granada, 18071, Granada, Spain.
| | - Mariana F Fernández
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012, Granada, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Spain; Biomedical Research Center (CIBM), University of Granada, 18100, Granada, Spain; Department of Radiology and Physical Medicine, School of Medicine, University of Granada, 18071, Granada, Spain.
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157
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Güil-Oumrait N, Valvi D, Garcia-Esteban R, Guxens M, Sunyer J, Torrent M, Casas M, Vrijheid M. Prenatal exposure to persistent organic pollutants and markers of obesity and cardiometabolic risk in Spanish adolescents. ENVIRONMENT INTERNATIONAL 2021; 151:106469. [PMID: 33711537 PMCID: PMC7960637 DOI: 10.1016/j.envint.2021.106469] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 02/10/2021] [Accepted: 02/15/2021] [Indexed: 05/08/2023]
Abstract
BACKGROUND Prenatal exposure to persistent organic pollutants (POPs) has been linked to cardiometabolic (CM) risk factors in childhood, but there are no studies evaluating the persistence of these associations into adolescence, a period of relevant changes in endocrine-dependent organ systems and rapid increases in lean and fat mass. We examined the associations of prenatal POP exposures with body mass index (BMI) from age 4 to 18 years, and with other CM risk markers in adolescence. METHODS We analysed 379 children from the Spanish INMA-Menorca birth cohort study with measured cord blood POP concentrations. We calculated BMI z-scores at ages 4, 6, 11, 14 and 18 years using the WHO growth reference. Body fat % was measured at 11 and 18 years and waist-to-height ratio (WHtR) and blood pressure (BP) at 11, 14 and 18 years. We measured CM biomarkers in fasting blood collected at age 14 years and calculated a CM-risk score as the sum of the sex-, and age-specific z-scores for waist circumference, mean arterial BP, homeostatic model assessment of insulin resistance, fasting blood triglycerides, and high-density lipoprotein cholesterol (HDL-C) (n = 217). Generalised estimating equations and multivariate linear regression models assessed the associations with repeated and single time-point measures, respectively. RESULTS Hexachlorobenzene (HCB) exposure in the third tertile, compared to the first tertile, was associated with higher BMI (β = 0.24; 95% CI: 0.01, 0.47) and WHtR z-score (β = 0.27; 95% CI: 0.04, 0.51). A continuous increase in HCB was associated with an elevated body fat % (β per 10-fold increase = 4.21; 95% CI: 0.51, 7.92), systolic BP (β = 0.32; 95% CI: 0.02, 0.64) and diastolic BP z-score (β = 0.32; 95% CI: 0.02, 0.62) across all ages, and with higher CM-risk score (β = 1.59; 95% CI: 0.02, 3.18) and lipid biomarkers (total cholesterol, triglycerides and low-density lipoprotein cholesterol (LDL-C)) at 14 years. Dichlorodiphenyltrichloroethane (p,p'-DDT) exposure was non-monotonically associated with BMI and systolic BP. p,p'-DDE and Σ-polychlorinated biphenyls (PCBs) (sum of congeners 118, 138, 153, 180) were not associated with adiposity or BP. p,p'-DDT exposure was associated with an increased CM-risk score, and ΣPCBs concentrations with LDL-C in all adolescents and with total cholesterol only in girls (p-sex interaction = 0.05). CONCLUSION This first longitudinal study from 4 to 18 years suggests that the previously reported POP associations with child BMI persist later in adolescence and that prenatal POP exposures are associated with major risk factors for adult CM syndrome.
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Affiliation(s)
- Nuria Güil-Oumrait
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain.
| | - Damaskini Valvi
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
| | - Raquel Garcia-Esteban
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.
| | - Monica Guxens
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Department of Child and Adolescent Psychiatry, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands.
| | - Jordi Sunyer
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; IMIM-Parc Salut Mar, Barcelona, Catalonia, Spain.
| | | | - Maribel Casas
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.
| | - Martine Vrijheid
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.
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Suárez B, Vela-Soria F, Castiello F, Olivas-Martinez A, Acuña-Castroviejo D, Gómez-Vida J, Olea N, Fernández MF, Freire C. Organophosphate pesticide exposure, hormone levels, and interaction with PON1 polymorphisms in male adolescents. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 769:144563. [PMID: 33485193 DOI: 10.1016/j.scitotenv.2020.144563] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 11/06/2020] [Accepted: 12/13/2020] [Indexed: 06/12/2023]
Abstract
OBJECTIVE To examine the association between urinary metabolites of organophosphate (OP) pesticides and serum concentrations of thyroid and reproductive hormones in male adolescents and to assess the potential effect of interactions between OP pesticides and paraoxonase 1 (PON1) polymorphisms on hormone levels. METHODS Study subjects (N = 117) were male 16- to 17-year-olds from the Environment and Childhood (INMA)-Granada cohort in Spain. Concentrations of 3,5,6-trichloro-2-pyridinol (TCPy), a metabolite of chlorpyrifos/chlorpyrifos-methyl, 2-isopropyl-6-methyl-4-pyrimidinol (IMPy), a metabolite of diazinon, and diethylthiophosphate (DETP) and diethyldithiophosphate (DEDTP), non-specific metabolites of OP pesticides, were measured in a spot urine sample from each subject and adjusted for creatinine. Levels of reproductive hormones (total testosterone [TT], estradiol [E2], dehydroepiandrosterone sulfate [DHEAS], sex hormone binding globulin [SHBG], luteinizing hormone [LH], follicle stimulating hormone [FSH], anti-Müllerian hormone [AMH], insulin growth factor 1 [IGF-1], and prolactin), thyroid hormones (free thyroxine [FT4], total triiodothyronine [TT3], and thyroid stimulating hormone [TSH]), and PON1 Q192R and L55M polymorphisms were determined in blood drawn during the same clinical visit. RESULTS Multiple linear regression models showed that detectable levels of TCPy were associated with an increase in DHEAS and decreases in E2, FSH, and AMH; detectable IMPy with increases in E2, DHEAS, FSH, AMH, and prolactin and decreases in SHBG and LH; and detectable DETP with marginally-significant increases in TT and TT3 and decreases in FSH, AMH, and prolactin. The effect of IMPy and DETP on DHEAS and TT levels, respectively, was higher in subjects that carried the PON1 55MM genotype, while the effect of TCPy, IMPy, and DETP on thyroid hormone levels was higher in PON1 192QR/RR or 55MM genotype carriers. CONCLUSIONS In male adolescents, non-occupational exposure to OP pesticides was associated with several changes in reproductive and thyroid hormone levels, and the magnitude of some associations was greater in adolescents genetically more susceptible to OP pesticide exposure who carry the PON1 55MM genotype.
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Affiliation(s)
- Beatriz Suárez
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012 Granada, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Spain; Biomedical Research Center (CIBM), University of Granada, 18100 Granada, Spain.
| | - Fernando Vela-Soria
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012 Granada, Spain.
| | - Francesca Castiello
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012 Granada, Spain; Unidad de Gestión Clínica (UGC) de Pediatría, Hospital Universitario San Cecilio, 18016 Granada, Spain
| | - Alicia Olivas-Martinez
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012 Granada, Spain; Biomedical Research Center (CIBM), University of Granada, 18100 Granada, Spain.
| | - Dario Acuña-Castroviejo
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012 Granada, Spain; Biomedical Research Center (CIBM), University of Granada, 18100 Granada, Spain; Department of Physiology, School of Medicine, University of Granada, 18071 Granada, Spain.
| | - José Gómez-Vida
- Unidad de Gestión Clínica (UGC) de Pediatría, Hospital Universitario San Cecilio, 18016 Granada, Spain
| | - Nicolás Olea
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012 Granada, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Spain; Biomedical Research Center (CIBM), University of Granada, 18100 Granada, Spain; Department of Radiology and Physical Medicine, School of Medicine, University of Granada, 18071 Granada, Spain.
| | - Mariana F Fernández
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012 Granada, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Spain; Biomedical Research Center (CIBM), University of Granada, 18100 Granada, Spain; Department of Radiology and Physical Medicine, School of Medicine, University of Granada, 18071 Granada, Spain.
| | - Carmen Freire
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012 Granada, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Spain; Biomedical Research Center (CIBM), University of Granada, 18100 Granada, Spain.
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159
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Iron, iodine and vitamin D deficiencies during pregnancy: epidemiology, risk factors and developmental impacts. Proc Nutr Soc 2021; 80:290-302. [PMID: 33988109 DOI: 10.1017/s0029665121001944] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Micronutrient deficiency persists throughout the world, and although the burden is higher in low-resource settings, it is also prevalent in wealthy countries, a phenomenon termed 'hidden hunger'. Due to their high requirements for vitamins and minerals relative to their energy intake, young women and children are particularly vulnerable to hidden hunger. As they share several risk factors and impact on overlapping outcomes, we consider how deficiency of iron, iodine and vitamin D can have profound impacts on perinatal health and infant development. We review the epidemiology of these micronutrient deficiencies during pregnancy, including social, environmental and dietary risk factors. We identify the main challenges in defining nutritional status of these nutrients using validated diagnostic criteria linked with meaningful clinical outcomes. Public health strategies are urgently required to improve the overall health and nutritional status of women of reproductive age. Obesity prevention and early detection of malnutrition with standardised screening methods would detect pregnant women at increased risk of iron deficiency. Development of sensitive, individual biomarkers of iodine status is required to protect maternal health and fetal/infant brain development. Risk assessments of vitamin D requirements during pregnancy need to be revisited from the perspective of fetal and neonatal requirements. International consensus on standardised approaches to micronutrient assessment, analysis and reporting as well as sensitive, clinically validated infant and child neuro-behavioural outcomes will enable progression of useful observational and intervention studies.
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160
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Notario-Barandiaran L, Navarrete-Muñoz EM, Valera-Gran D, Hernández-Álvarez E, Donoso-Navarro E, González-Palacios S, García-de-la-Hera M, Fernández MF, Freire C, Vioque J. Biochemical Validation of a Self-Administered Food Frequency Questionnaire to Assess Diet Using Carotenoids and Vitamins E and D in Male Adolescents in Spain. ANTIOXIDANTS (BASEL, SWITZERLAND) 2021; 10:antiox10050750. [PMID: 34066826 PMCID: PMC8151424 DOI: 10.3390/antiox10050750] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 05/03/2021] [Accepted: 05/04/2021] [Indexed: 01/02/2023]
Abstract
Reliable tools to evaluate diet are needed, particularly in life periods such as adolescence in which a rapid rate of growth and development occurs. We assessed the biochemical validity of a self-administered food frequency questionnaire (FFQ) in a sample of Spanish male adolescents using carotenoids and vitamin E and D data. We analyzed data from 122 male adolescents aged 15–17 years of the INMA-Granada birth cohort study. Adolescents answered a 104-item FFQ and provided a non-fasting blood sample. Mean daily nutrient intakes and serum concentration were estimated for main carotenoids (lutein-zeaxanthin, β-cryptoxanthin, lycopene, α-carotene and β-carotene), vitamins E and D and also for fruit and vegetable intake. Pearson correlation coefficients (r) and the percentage of agreement (same or adjacent quintiles) between serum vitamin concentrations and energy-adjusted intakes were estimated. Statistically significant correlation coefficients were observed for the total carotenoids (r = 0.40) and specific carotenoids, with the highest correlation observed for lutein–zeaxanthin (r = 0.42) and the lowest for β-carotene (0.23). The correlation coefficient between fruit and vegetable intake and serum carotenoids was 0.29 (higher for vegetable intake, r = 0.33 than for fruit intake, r = 0.19). Low correlations were observed for vitamin E and D. The average percentage of agreement for carotenoids was 55.8%, and lower for vitamin E and D (50% and 41%, respectively). The FFQ may be an acceptable tool for dietary assessment among male adolescents in Spain.
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Affiliation(s)
- Leyre Notario-Barandiaran
- Alicante Institute for Health and Biomedical Research, ISABIAL-UMH, 03010 Alicante, Spain; (L.N.-B.); (E.-M.N.-M.); (S.G.-P.); (M.G.-d.-l.-H.)
- Nutritional Epidemiology Unit, University Miguel Hernandez, 03550 Alicante, Spain
| | - Eva-María Navarrete-Muñoz
- Alicante Institute for Health and Biomedical Research, ISABIAL-UMH, 03010 Alicante, Spain; (L.N.-B.); (E.-M.N.-M.); (S.G.-P.); (M.G.-d.-l.-H.)
- InTeO Research Group, Department of Pathology and Surgery, Miguel Hernández University, 03550 Alicante, Spain;
| | - Desirée Valera-Gran
- InTeO Research Group, Department of Pathology and Surgery, Miguel Hernández University, 03550 Alicante, Spain;
| | - Elena Hernández-Álvarez
- Department of Clinical Biochemistry, Puerta de Hierro University Hospital Majadahonda, 28222 Madrid, Spain; (E.H.-Á.); (E.D.-N.)
| | - Encarnación Donoso-Navarro
- Department of Clinical Biochemistry, Puerta de Hierro University Hospital Majadahonda, 28222 Madrid, Spain; (E.H.-Á.); (E.D.-N.)
| | - Sandra González-Palacios
- Alicante Institute for Health and Biomedical Research, ISABIAL-UMH, 03010 Alicante, Spain; (L.N.-B.); (E.-M.N.-M.); (S.G.-P.); (M.G.-d.-l.-H.)
- Nutritional Epidemiology Unit, University Miguel Hernandez, 03550 Alicante, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, 28009 Madrid, Spain; (M.F.F.); (C.F.)
| | - Manuela García-de-la-Hera
- Alicante Institute for Health and Biomedical Research, ISABIAL-UMH, 03010 Alicante, Spain; (L.N.-B.); (E.-M.N.-M.); (S.G.-P.); (M.G.-d.-l.-H.)
- Nutritional Epidemiology Unit, University Miguel Hernandez, 03550 Alicante, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, 28009 Madrid, Spain; (M.F.F.); (C.F.)
| | - Mariana F. Fernández
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, 28009 Madrid, Spain; (M.F.F.); (C.F.)
- Biosanitary Research Institute of Granada (ibs.GRANADA), 18012 Granada, Spain
- Department of Radiology, School of Medicine and Center for Biomedical Research, University of Granada, 18071 Granada, Spain
| | - Carmen Freire
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, 28009 Madrid, Spain; (M.F.F.); (C.F.)
- Biosanitary Research Institute of Granada (ibs.GRANADA), 18012 Granada, Spain
| | - Jesús Vioque
- Alicante Institute for Health and Biomedical Research, ISABIAL-UMH, 03010 Alicante, Spain; (L.N.-B.); (E.-M.N.-M.); (S.G.-P.); (M.G.-d.-l.-H.)
- Nutritional Epidemiology Unit, University Miguel Hernandez, 03550 Alicante, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, 28009 Madrid, Spain; (M.F.F.); (C.F.)
- Correspondence: ; Tel.: +34-965-919-517
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161
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Pinot de Moira A, Haakma S, Strandberg-Larsen K, van Enckevort E, Kooijman M, Cadman T, Cardol M, Corpeleijn E, Crozier S, Duijts L, Elhakeem A, Eriksson JG, Felix JF, Fernández-Barrés S, Foong RE, Forhan A, Grote V, Guerlich K, Heude B, Huang RC, Järvelin MR, Jørgensen AC, Mikkola TM, Nader JLT, Pedersen M, Popovic M, Rautio N, Richiardi L, Ronkainen J, Roumeliotaki T, Salika T, Sebert S, Vinther JL, Voerman E, Vrijheid M, Wright J, Yang TC, Zariouh F, Charles MA, Inskip H, Jaddoe VWV, Swertz MA, Nybo Andersen AM. The EU Child Cohort Network's core data: establishing a set of findable, accessible, interoperable and re-usable (FAIR) variables. Eur J Epidemiol 2021; 36:565-580. [PMID: 33884544 PMCID: PMC8159791 DOI: 10.1007/s10654-021-00733-9] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 02/14/2021] [Indexed: 10/24/2022]
Abstract
The Horizon2020 LifeCycle Project is a cross-cohort collaboration which brings together data from multiple birth cohorts from across Europe and Australia to facilitate studies on the influence of early-life exposures on later health outcomes. A major product of this collaboration has been the establishment of a FAIR (findable, accessible, interoperable and reusable) data resource known as the EU Child Cohort Network. Here we focus on the EU Child Cohort Network's core variables. These are a set of basic variables, derivable by the majority of participating cohorts and frequently used as covariates or exposures in lifecourse research. First, we describe the process by which the list of core variables was established. Second, we explain the protocol according to which these variables were harmonised in order to make them interoperable. Third, we describe the catalogue developed to ensure that the network's data are findable and reusable. Finally, we describe the core data, including the proportion of variables harmonised by each cohort and the number of children for whom harmonised core data are available. EU Child Cohort Network data will be analysed using a federated analysis platform, removing the need to physically transfer data and thus making the data more accessible to researchers. The network will add value to participating cohorts by increasing statistical power and exposure heterogeneity, as well as facilitating cross-cohort comparisons, cross-validation and replication. Our aim is to motivate other cohorts to join the network and encourage the use of the EU Child Cohort Network by the wider research community.
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Affiliation(s)
- Angela Pinot de Moira
- Section for Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Sido Haakma
- Genomics Coordination Center, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Katrine Strandberg-Larsen
- Section for Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Esther van Enckevort
- Genomics Coordination Center, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Marjolein Kooijman
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Tim Cadman
- Population Health Science, Bristol Medical School, Bristol, BS8 2BN, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 2PS, UK
| | - Marloes Cardol
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Eva Corpeleijn
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Sarah Crozier
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Applied Research Collaboration Wessex, Southampton Science Park, Innovation Centre, 2 Venture Road, Chilworth, Southampton, SO16 7NP, UK
| | - Liesbeth Duijts
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Ahmed Elhakeem
- Population Health Science, Bristol Medical School, Bristol, BS8 2BN, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 2PS, UK
| | - Johan G Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
- Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science and Technology (A*STAR), Singapore, Singapore
| | - Janine F Felix
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Sílvia Fernández-Barrés
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Rachel E Foong
- Telethon Kids Institute, Perth, WA, Australia
- School of Physiotherapy and Exercise Science, Curtin University, Perth, WA, Australia
| | - Anne Forhan
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, Paris, France
| | - Veit Grote
- Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU University Hospital Munich, Munich, Germany
| | - Kathrin Guerlich
- Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU University Hospital Munich, Munich, Germany
| | - Barbara Heude
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, Paris, France
| | | | - Marjo-Riitta Järvelin
- Faculty of Medicine, Center for Life-Course Health Research, University of Oulu, P.O. Box 5000, 90014, Oulu, Finland
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Anne Cathrine Jørgensen
- Section for Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Tuija M Mikkola
- Folkhälsan Research Center, Helsinki, Finland
- Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Johanna L T Nader
- Department of Genetics and Bioinformatics, Division of Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway
| | - Marie Pedersen
- Section for Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Maja Popovic
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Nina Rautio
- Faculty of Medicine, Center for Life-Course Health Research, University of Oulu, P.O. Box 5000, 90014, Oulu, Finland
| | - Lorenzo Richiardi
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Justiina Ronkainen
- Faculty of Medicine, Center for Life-Course Health Research, University of Oulu, P.O. Box 5000, 90014, Oulu, Finland
| | - Theano Roumeliotaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Theodosia Salika
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Sylvain Sebert
- Faculty of Medicine, Center for Life-Course Health Research, University of Oulu, P.O. Box 5000, 90014, Oulu, Finland
| | - Johan L Vinther
- Section for Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Ellis Voerman
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Tiffany C Yang
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Faryal Zariouh
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, Paris, France
| | - Marie-Aline Charles
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, Paris, France
- ELFE Joint Unit, French Institute for Demographic Studies (Ined), French Institute for Medical Research and Health (INSERM), French Blood Agency, Aubervilliers, France
| | - Hazel Inskip
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Vincent W V Jaddoe
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Morris A Swertz
- Genomics Coordination Center, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Anne-Marie Nybo Andersen
- Section for Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
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162
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Soler-Blasco R, Murcia M, Lozano M, Sarzo B, Esplugues A, Vioque J, Lertxundi N, Marina LS, Lertxundi A, Irizar A, Braeuer S, Goesler W, Ballester F, Llop S. Urinary arsenic species and methylation efficiency during pregnancy: Concentrations and associated factors in Spanish pregnant women. ENVIRONMENTAL RESEARCH 2021; 196:110889. [PMID: 33607098 DOI: 10.1016/j.envres.2021.110889] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 02/02/2021] [Accepted: 02/11/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Arsenic (As) is considered to be toxic for humans, the main routes of exposure being through drinking water and the diet. Once ingested, inorganic arsenic can be methylated sequentially to monomethyl and dimethyl arsenicals. Several factors can affect both As exposure and methylation efficiency. OBJECTIVES To describe the urinary concentrations of the different As species and evaluate the methylation efficiency during pregnancy, as well as their associated factors in a birth cohort of pregnant Spanish women. METHODS Participants in this cross-sectional study were 1017 pregnant women from two areas of Spain who had taken part in the INMA (Environment and Childhood) project (2003-2008). Total As (organic and inorganic compounds) and its main metabolites (monomethylarsonic acid, [MMA], dimethylarsinic acid, [DMA], inorganic As [iAs]) and arsenobetaine [AB]) were measured in urine samples collected during the first trimester. Sociodemographic and dietary information was collected through questionnaires. Multivariate linear regression models were used to explore the association between As species concentrations and covariates. Arsenic methylation efficiency was determined through the percentages of the metabolites and using As methylation phenotypes, obtained from principal component analysis. RESULTS Median urine concentrations were 33.0, 21.6, 6.5, 0.35 and 0.33 μg/g creatinine for total As, AB, DMA, MMA and iAs, respectively. Daily consumption of rice and seafood during the first trimester of pregnancy were positively associated with the concentration of As species (i.e., β [CI95%] = 0.36 [0.09, 0.64] for rice and iAs, and 1.06 [0.68, 1.44] for seafood and AB). TAs, AB and iAs concentrations, and DMA and MMA concentrations were associated with legume and vegetable consumption, respectively. The medians of the percentage of As metabolites were 89.7 for %DMA, 5.1 for %MMA and 4.7 for %iAs. Non-smoker women and those with higher body mass index presented a higher methylation efficiency (denoted by a higher %DMA and lower %MMA). DISCUSSION Certain dietary, lifestyle, and environmental factors were observed to have an influence on both As species concentrations and methylation efficiency in our population. Further birth cohort studies in low exposure areas are necessary to improve knowledge about arsenic exposure, especially to inorganic forms, and its potential health impact during childhood.
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Affiliation(s)
- Raquel Soler-Blasco
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain
| | - Mario Murcia
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain; Health Information Systems Analysis Service, Conselleria de Sanitat, Generalitat Valenciana, Valencia, Spain
| | - Manuel Lozano
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain; Preventive Medicine and Public Health, Food Sciences, Toxicology and Forensic Medicine Department, Universitat de València, Valencia, Spain
| | - Blanca Sarzo
- Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, Valencia, Spain
| | - Ana Esplugues
- 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; Department of Nursing, Universitat de València, Valencia, Spain
| | - Jesús Vioque
- Alicante Institute for Health and Biomedical Research, ISABIAL-UMH, 03010, Alicante, Spain
| | - Nerea Lertxundi
- Biodonostia Health Research Institute, San Sebastian, Spain; Faculty of Psychology of the University of the Basque Country, UPV/ EHU, San Sebastian, Spain
| | - Loreto Santa Marina
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain; Biodonostia Health Research Institute, San Sebastian, Spain; Public Health Division of Gipuzkoa, Basque Government, San Sebastian, Spain
| | - Aitana Lertxundi
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain; Biodonostia Health Research Institute, San Sebastian, Spain; Department of Preventive Medicine and Public Health of the University of the Basque Country, UPV/EHU, Leioa, Spain
| | - Amaia Irizar
- Biodonostia Health Research Institute, San Sebastian, Spain; Department of Preventive Medicine and Public Health of the University of the Basque Country, UPV/EHU, Leioa, Spain.
| | - Simone Braeuer
- Institute of Chemistry, University of Graz, Graz, Austria
| | - Walter Goesler
- Institute of Chemistry, University of Graz, Graz, Austria
| | - Ferran Ballester
- 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; Department of Nursing, Universitat de València, Valencia, Spain
| | - Sabrina Llop
- 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
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163
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Julvez J, Fernández-Barrés S, Gignac F, López-Vicente M, Bustamante M, Garcia-Esteban R, Vioque J, Llop S, Ballester F, Fernández-Somoano A, Tardón A, Vrijheid M, Tonne C, Ibarluzea J, Irazabal A, Sebastian-Galles N, Burgaleta M, Romaguera D, Sunyer J. Maternal seafood consumption during pregnancy and child attention outcomes: a cohort study with gene effect modification by PUFA-related genes. Int J Epidemiol 2021; 49:559-571. [PMID: 31578044 DOI: 10.1093/ije/dyz197] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/12/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND There is a need to test the fetal programming theoretical framework in nutritional epidemiology. We evaluated whether maternal seafood intake during pregnancy was associated with 8-year-old attention outcomes after adjusting for previous child seafood intake and cognitive function. We also explored effect modification by several single nucleotide polymorphisms (SNPs) related with polyunsaturated fatty acid (PUFA) metabolism. METHODS Our final analyses included 1644 mother-child pairs from the prospective INMA (INfancia y Medio Ambiente) cohort study (Spain, recruitment between 2003 and 2008). We used food frequency questionnaires to assess prenatal and postnatal seafood consumption of the mother-child pairs. We evaluated attention function of the children through the computer-based Attention Network Test (ANT) and we used the number of omission errors and the hit reaction time standard error (HRT-SE). Parents reported child attention deficit hyperactivity disorder (ADHD) symptoms using the Revised Conners' Parent Rating Scale Short Form (CPRS-R: S). We measured seven candidate SNPs in a subsample of 845 children. We estimated associations using regression models, adjusting for family characteristics, child seafood intake and cognitive functions at early ages, and to explore SNP effect modifications. RESULTS Higher total seafood intake during early pregnancy was associated with a reduction of child ANT omission errors, 5th quintile (median = 854 g/week) vs 1st quintile (median = 195 g/week), incidence risk ratio (IRR) 0.76; 95% CI = 0.61, 0.94. Similar results were observed after adjusting the models for child seafood intake and previous cognitive status. Lean, large and small fatty fish showed similar results, and generally similar but less robust associations were observed with the other attention outcomes. Shellfish and canned tuna showed weaker associations. The association patterns were weaker in late pregnancy and null in child seafood consumption. Child rs1260326 (glucokinase regulator, GCKR) and child/maternal rs2281591 (fatty acid elongase 2, ELOVL2) polymorphisms showed nominal P-value for interactions <0.10 between total seafood intake and ANT outcomes. CONCLUSIONS After adjusting for previous child cognitive functions and child seafood intake, high pregnancy consumption (total, lean, small and large fatty fish) was independently associated with improvements of some 8-year-old attention outcomes. Genetic effect modification analyses suggest PUFA intake from seafood as a potential biological mechanism of such association.
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Affiliation(s)
- Jordi Julvez
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain.,CIBER Epidemiologia y Salud Pública (CIBERESP), Madrid, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain.,Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Florence Gignac
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain
| | - Mónica López-Vicente
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain.,CIBER Epidemiologia y Salud Pública (CIBERESP), Madrid, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain
| | - Mariona Bustamante
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain
| | - Raquel Garcia-Esteban
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain.,CIBER Epidemiologia y Salud Pública (CIBERESP), Madrid, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain
| | - Jesús Vioque
- CIBER Epidemiologia y Salud Pública (CIBERESP), Madrid, Spain.,Nutritional Epidemiology Unit, Universidad Miguel Hernández, ISABIAL-FISABIO, Alicante, Spain
| | - Sabrina Llop
- CIBER Epidemiologia y Salud Pública (CIBERESP), Madrid, Spain.,Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain
| | - Ferran Ballester
- CIBER Epidemiologia y Salud Pública (CIBERESP), Madrid, Spain.,Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain.,Department of Nursing, University of Valencia, València, Spain
| | - Ana Fernández-Somoano
- CIBER Epidemiologia y Salud Pública (CIBERESP), Madrid, Spain.,IUOPA-Departamento de Medicina, Universidad de Oviedo, Oviedo, Spain
| | - Adonina Tardón
- CIBER Epidemiologia y Salud Pública (CIBERESP), Madrid, Spain.,IUOPA-Departamento de Medicina, Universidad de Oviedo, Oviedo, Spain
| | - Martine Vrijheid
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain.,CIBER Epidemiologia y Salud Pública (CIBERESP), Madrid, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain
| | - Cathryn Tonne
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain
| | - Jesus Ibarluzea
- CIBER Epidemiologia y Salud Pública (CIBERESP), Madrid, Spain.,Public Health Department, Basque Government, San Sebastian, Spain.,University of the Basque Country (UPV/EHU), School of Psychology, San Sebastian, Spain.,BIODONOSTIA Health Research Institute, San Sebastian, Spain
| | - Amaia Irazabal
- BIODONOSTIA Health Research Institute, San Sebastian, Spain
| | - Nuria Sebastian-Galles
- Center for Brain and Cognition, Department of Technology, Universitat Pompeu Fabra, Barcelona, Spain
| | - Miguel Burgaleta
- Center for Brain and Cognition, Department of Technology, Universitat Pompeu Fabra, Barcelona, Spain
| | - Dora Romaguera
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain.,CIBER Epidemiologia y Salud Pública (CIBERESP), Madrid, Spain.,Instituto de Investigación Sanitaria Illes Balears (IdISBa), Hospital Universitari Son Espases, Palma de Mallorca, Spain
| | - Jordi Sunyer
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain.,CIBER Epidemiologia y Salud Pública (CIBERESP), Madrid, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain
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164
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Marinelli M, Carsin AE, Turner MC, Fernández-Somoano A, Rodriguez-Dehli AC, Basterrechea M, Santa-Marina L, Iñiguez C, Lopez-Espinosa MJ, Sunyer J, Julvez J. Maternal sleep duration and neonate birth weight: A population-based cohort study. Int J Gynaecol Obstet 2021; 156:494-501. [PMID: 33754347 DOI: 10.1002/ijgo.13685] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 03/17/2021] [Accepted: 03/21/2021] [Indexed: 01/17/2023]
Abstract
OBJECTIVE To investigate the association between maternal sleep duration (an important health indicator) and neonate birth weight. METHODS The study included 2536 mother-neonate pairs of a Spanish birth cohort (2004-2006, INMA project). The exposures were questionnaire-based measures of sleep duration before and during pregnancy. The primary outcome was neonate birth weight score (g) standardized to 40 weeks of gestation. RESULTS In women sleeping for <7 h/day before pregnancy, each additional hour of sleep increased birth weight score by 44.7 g (P = 0.049) in the minimally adjusted model, although findings were not statistically significant after considering other potential confounders (P > 0.05). However, increasing sleep duration for the group of mothers who slept for more than 9 h/day decreased birth weight score by 39.2 g per additional hour (P = 0.001). Findings were similar after adjusting for several sociodemographic confounders and maternal depression-anxiety clinical history as an intermediate factor. Similar but attenuated associations were observed with sleep duration in the second trimester of pregnancy. CONCLUSION The relationship between maternal sleep duration before and during pregnancy and neonate birth weight is an inverse U-shaped curve. Excessive sleep duration may adversely affect neonate health through its impact on birth weight.
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Affiliation(s)
- Marcella Marinelli
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.,Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain.,Agència de Qualitat i Avaluació en Salut de Catalunya (AQuAS), Barcelona, Spain
| | - Anne-Elie Carsin
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.,Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Michelle C Turner
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.,Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain.,McLaughlin Centre for Population Health Risk Assessment, University of Ottawa, Ottawa, Ontario, Canada
| | - Ana Fernández-Somoano
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain.,University of Oviedo, Oviedo, Spain
| | | | - Mikel Basterrechea
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain.,Public Health Division of Gipuzkoa, Basque Government, San Sebastian, Spain.,Health Research Institute, Biodonostia, San Sebastián, Spain
| | - Loreto Santa-Marina
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain.,Public Health Division of Gipuzkoa, Basque Government, San Sebastian, Spain.,Health Research Institute, Biodonostia, San Sebastián, Spain
| | - Carmen Iñiguez
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain.,FISABIO-Universitat Jaume I-Universitat de València Joint Research Unit of Epidemiology and Environmental Health, Valencia, Spain
| | - Maria-Jose Lopez-Espinosa
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain.,FISABIO-Universitat Jaume I-Universitat de València Joint Research Unit of Epidemiology and Environmental Health, Valencia, Spain
| | - Jordi Sunyer
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.,Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain.,McLaughlin Centre for Population Health Risk Assessment, University of Ottawa, Ottawa, Ontario, Canada.,Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Jordi Julvez
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.,Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari Sant Joan de Reus, Reus, Spain
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165
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Birks LE, van Wel L, Liorni I, Pierotti L, Guxens M, Huss A, Foerster M, Capstick M, Eeftens M, El Marroun H, Estarlich M, Gallastegi M, Safont LG, Joseph W, Santa-Marina L, Thielens A, Torrent M, Vrijkotte T, Wiart J, Röösli M, Cardis E, Vermeulen R, Vrijheid M. Radiofrequency electromagnetic fields from mobile communication: Description of modeled dose in brain regions and the body in European children and adolescents. ENVIRONMENTAL RESEARCH 2021; 193:110505. [PMID: 33245886 DOI: 10.1016/j.envres.2020.110505] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 11/02/2020] [Accepted: 11/17/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Little is known about radiofrequency electromagnetic fields (RF) from mobile technology and resulting dose in young people. We describe modeled integrated RF dose in European children and adolescents combining own mobile device use and surrounding sources. METHODS Using an integrated RF model, we estimated the daily RF dose in the brain (whole-brain, cerebellum, frontal lobe, midbrain, occipital lobe, parietal lobe, temporal lobes) and the whole-body in 8358 children (ages 8-12) and adolescents (ages 14-18) from the Netherlands, Spain, and Switzerland during 2012-2016. The integrated model estimated RF dose from near-field sources (digital enhanced communication technology (DECT) phone, mobile phone, tablet, and laptop) and far-field sources (mobile phone base stations via 3D-radiowave modeling or RF measurements). RESULTS Adolescents were more frequent mobile phone users and experienced higher modeled RF doses in the whole-brain (median 330.4 mJ/kg/day) compared to children (median 81.8 mJ/kg/day). Children spent more time using tablets or laptops compared to adolescents, resulting in higher RF doses in the whole-body (median whole-body dose of 81.8 mJ/kg/day) compared to adolescents (41.9 mJ/kg/day). Among brain regions, temporal lobes received the highest RF dose (medians of 274.9 and 1786.5 mJ/kg/day in children and adolescents, respectively) followed by the frontal lobe. In most children and adolescents, calling on 2G networks was the main contributor to RF dose in the whole-brain (medians of 31.1 and 273.7 mJ/kg/day, respectively). CONCLUSION This first large study of RF dose to the brain and body of children and adolescents shows that mobile phone calls on 2G networks are the main determinants of brain dose, especially in temporal and frontal lobes, whereas whole-body doses were mostly determined by tablet and laptop use. The modeling of RF doses provides valuable input to epidemiological research and to potential risk management regarding RF exposure in young people.
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Affiliation(s)
- Laura Ellen Birks
- ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Luuk van Wel
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
| | - Ilaria Liorni
- Foundation for Research on Information Technologies in Society (IT'IS), Zurich, Switzerland
| | - Livia Pierotti
- ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Mònica Guxens
- ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands
| | - Anke Huss
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
| | - Milena Foerster
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Myles Capstick
- Foundation for Research on Information Technologies in Society (IT'IS), Zurich, Switzerland
| | - Marloes Eeftens
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Hanan El Marroun
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands; Department of Pediatrics, Erasmus MC, the Netherlands; Department of Psychology, Education and Child Studies - Erasmus University Rotterdam, the Netherlands
| | - Marisa Estarlich
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain; Faculty of Nursing and Chiropody, Universitat de València, Spain
| | - Mara Gallastegi
- BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian, Spain
| | - Llúcia González Safont
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain
| | - Wout Joseph
- Department of Information Technology, Ghent University/IMEC, Technologiepark 126, Ghent, 9052, Belgium
| | - Loreto Santa-Marina
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian, Spain; Department of Health of the Basque Government, Public Health Division of Gipuzkoa, Donostia-San Sebastián, Spain
| | - Arno Thielens
- Department of Information Technology, Ghent University/IMEC, Technologiepark 126, Ghent, 9052, Belgium
| | - Maties Torrent
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Tanja Vrijkotte
- Department of Public Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Joe Wiart
- Télécom ParisTech, LTCI University Paris Saclay, Chair C2M, Paris, France
| | - Martin Röösli
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Elisabeth Cardis
- ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands; School of Public Health, Imperial College London, London, UK
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
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Barreto-Zarza F, Sánchez de Miguel M, Ibarluzea J, González-Safont L, Rebagliato M, Arranz-Freijo EB. Family Context Assessment in Middle Childhood: A Tool Supporting Social, Educational, and Public Health Interventions. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18031094. [PMID: 33530634 PMCID: PMC7908572 DOI: 10.3390/ijerph18031094] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 01/20/2021] [Accepted: 01/21/2021] [Indexed: 01/24/2023]
Abstract
Quality of the family context has an important role in the physical and mental health of children; that is why it is important to have reliable and updated tools. This study aims to design and validate a new tool, the Haezi Etxadi Family Assessment Scale 7-11 (HEFAS 7-11), to assess family context quality in middle childhood. A sample of two cohorts of 772 Spanish families with children aged between 7 and 11 (M = 9.39 years; SD = 1.57; 51.2% girls), participated in the study. Results showed good psychometric properties for the instrument and the confirmatory factor analysis showed a five individual subscales structure: 1. Promotion of Cognitive and Linguistic Development (α = 0.79); 2. Promotion of Socio Emotional Development (α = 0.83); 3. Organization of Physical Environment and Social Context (α = 0.73); 4. Parental Stress & Conflict (α = 0.75); and 5. Parental Profile Fostering Child Development (α = 0.80). The association between HEFAS 7-11 and Trial Making Test was also analyzed to determine the concurrent validity of the instrument. The new scale shows its potential in the fields of research, social and educational, to know those variables that need to be promoted under the approach of positive parenting from a public health perspective.
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Affiliation(s)
- Florencia Barreto-Zarza
- Faculty of Psychology, University of the Basque Country (UPV/EHU), 20018 San Sebastian, Spain; (M.S.d.M.); (J.I.); (E.B.A.-F.)
- Biodonostia Health Research Institute, Group of Environmental Epidemiology and Child Development, 20014 San Sebastian, Spain
- Correspondence:
| | - Manuel Sánchez de Miguel
- Faculty of Psychology, University of the Basque Country (UPV/EHU), 20018 San Sebastian, Spain; (M.S.d.M.); (J.I.); (E.B.A.-F.)
- Biodonostia Health Research Institute, Group of Environmental Epidemiology and Child Development, 20014 San Sebastian, Spain
| | - Jesús Ibarluzea
- Faculty of Psychology, University of the Basque Country (UPV/EHU), 20018 San Sebastian, Spain; (M.S.d.M.); (J.I.); (E.B.A.-F.)
- Biodonostia Health Research Institute, Group of Environmental Epidemiology and Child Development, 20014 San Sebastian, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain; (L.G.-S.); (M.R.)
| | - Llúcia González-Safont
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain; (L.G.-S.); (M.R.)
- Epidemiology and Environmental Health Joint Research Unit, FISABIO -Universitat Jaume I-Universitat de València, 46020 Valencia, Spain
| | - Marisa Rebagliato
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain; (L.G.-S.); (M.R.)
- Epidemiology and Environmental Health Joint Research Unit, FISABIO -Universitat Jaume I-Universitat de València, 46020 Valencia, Spain
- Predepartamental Unit of Medicine, Universitat Jaume I, 12071 Castellón de la Plana, Spain
| | - Enrique B. Arranz-Freijo
- Faculty of Psychology, University of the Basque Country (UPV/EHU), 20018 San Sebastian, Spain; (M.S.d.M.); (J.I.); (E.B.A.-F.)
- Biodonostia Health Research Institute, Group of Environmental Epidemiology and Child Development, 20014 San Sebastian, Spain
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167
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The Use of Lower or Higher Than Recommended Doses of Folic Acid Supplements during Pregnancy Is Associated with Child Attentional Dysfunction at 4-5 Years of Age in the INMA Project. Nutrients 2021; 13:nu13020327. [PMID: 33498619 PMCID: PMC7912326 DOI: 10.3390/nu13020327] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 01/15/2021] [Accepted: 01/19/2021] [Indexed: 12/13/2022] Open
Abstract
We assessed the association between the use of lower- and higher-than-recommended doses of folic acid supplements (FAs) during pregnancy and attentional function in boys and girls at age of 4–5. We analyzed data from 1329 mother-child pairs from the mother-child cohort INfancia y Medio Ambiente Project (INMA) study. Information on FAs use during pregnancy was collected in personal interviews at weeks 12 and 30, and categorized in <400, 400–999 (recommended dose), and ≥1000 μg/day. Child attentional function was assessed by Conners’ Kiddie Continuous Performance Test. Multivariable regression analyses were used to estimate incidence rate ratios (IRR) and beta coefficients with 95% confidence intervals (CI). Compared to recommended FAs doses, the periconceptional use of <400 and ≥1000 μg/day was associated with higher risk of omission errors—IRR = 1.14 (95% CI: 1.01; 1.29) and IRR = 1.16 (95% CI: 1.02; 1.33), respectively. The use of FAs < 400 μg/day and ≥1000 μg/day was significantly associated with deficits of attentional function only in boys. FAs use < 400 μg/day was associated with higher omission errors with IRR = 1.22 and increased hit reaction time (HRT) β = 34.36, and FAs use ≥ 1000 μg/day was associated with increased HRT β = 33.18 and HRT standard error β = 3.31. The periconceptional use of FAs below or above the recommended doses is associated with deficits of attentional function in children at age of 4–5, particularly in boys.
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168
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Merid SK, Bustamante M, Standl M, Sunyer J, Heinrich J, Lemonnier N, Aguilar D, Antó JM, Bousquet J, Santa-Marina L, Lertxundi A, Bergström A, Kull I, Wheelock ÅM, Koppelman GH, Melén E, Gruzieva O. Integration of gene expression and DNA methylation identifies epigenetically controlled modules related to PM 2.5 exposure. ENVIRONMENT INTERNATIONAL 2021; 146:106248. [PMID: 33212358 DOI: 10.1016/j.envint.2020.106248] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 09/24/2020] [Accepted: 10/25/2020] [Indexed: 05/28/2023]
Abstract
Air pollution has been associated with adverse health effects across the life-course. Although underlying mechanisms are unclear, several studies suggested pollutant-induced changes in transcriptomic profiles. In this meta-analysis of transcriptome-wide association studies of 656 children and adolescents from three European cohorts participating in the MeDALL Consortium, we found two differentially expressed transcript clusters (FDR p < 0.05) associated with exposure to particulate matter < 2.5 µm in diameter (PM2.5) at birth, one of them mapping to the MIR1296 gene. Further, by integrating gene expression with DNA methylation using Functional Epigenetic Modules algorithms, we identified 9 and 6 modules in relation to PM2.5 exposure at birth and at current address, respectively (including NR1I2, MAPK6, TAF8 and SCARA3). In conclusion, PM2.5 exposure at birth was linked to differential gene expression in children and adolescents. Importantly, we identified several significant interactome hotspots of gene modules of relevance for complex diseases in relation to PM2.5 exposure.
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Affiliation(s)
- Simon Kebede Merid
- Department of Clinical Sciences and Education, Karolinska Institutet, Södersjukhuset, Stockholm, Sweden
| | - Mariona Bustamante
- ISGlobal, Institute for Global Health, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Marie Standl
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany
| | - Jordi Sunyer
- ISGlobal, Institute for Global Health, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Joachim Heinrich
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Ziemssenstraße 1, 80336 Munich, Germany; Allergy and Lung Health Unit, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Nathanaël Lemonnier
- Institute for Advanced Biosciences, UGA-INSERM U1209-CNRS UMR5309, Allée des Alpes, France
| | - Daniel Aguilar
- Biomedical Research Networking Center in Hepatic and Digestive Diseases (CIBEREHD), Instituto de Salud Carlos III, Barcelona, Spain
| | - Josep Maria Antó
- ISGlobal, Institute for Global Health, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Jean Bousquet
- Charité, Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Comprehensive Allergy Center, Department of Dermatology and Allergy, Berlin, Germany; University Hospital, Montpellier, France; MACVIA-France, Montpellier, France
| | - Loreto Santa-Marina
- Health Research Institute-BIODONOSTIA, Basque Country, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Health Department of Basque Government, Sub-directorate of Public Health of Gipuzkoa, 20013 San Sebastian, Spain
| | - Aitana Lertxundi
- Health Research Institute-BIODONOSTIA, Basque Country, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Preventive Medicine and Public Health Department, University of Basque Country (UPV/EHU), Spain
| | - Anna Bergström
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Sweden
| | - Inger Kull
- Department of Clinical Sciences and Education, Karolinska Institutet, Södersjukhuset, Stockholm, Sweden; Sachs Children's Hospital, Stockholm, Sweden
| | - Åsa M Wheelock
- Respiratory Medicine Unit, Department of Medicine and Center for Molecular Medicine, Karolinska Institutet, Solna, Stockholm, Sweden
| | - Gerard H Koppelman
- University of Groningen, University Medical Center Groningen, Beatrix Children's Hospital, Department of Pediatric Pulmonology and Pediatric Allergology, Groningen, the Netherlands; University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, the Netherlands
| | - Erik Melén
- Department of Clinical Sciences and Education, Karolinska Institutet, Södersjukhuset, Stockholm, Sweden; Sachs Children's Hospital, Stockholm, Sweden
| | - Olena Gruzieva
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Sweden.
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169
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Warembourg C, Nieuwenhuijsen M, Ballester F, de Castro M, Chatzi L, Esplugues A, Heude B, Maitre L, McEachan R, Robinson O, Slama R, Sunyer J, Urquiza J, Wright J, Basagaña X, Vrijheid M. Urban environment during early-life and blood pressure in young children. ENVIRONMENT INTERNATIONAL 2021; 146:106174. [PMID: 33099063 DOI: 10.1016/j.envint.2020.106174] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 09/21/2020] [Accepted: 09/30/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND The urban environment is characterised by many exposures that may influence hypertension development from early life onwards, but there is no systematic evaluation of their impact on child blood pressure (BP). METHODS Systolic and diastolic blood pressure were measured in 4,279 children aged 4-5 years from a multi-centre European cohort (France, Greece, Spain, and UK). Urban environment exposures were estimated during pregnancy and childhood, including air pollution, built environment, natural spaces, traffic, noise, meteorology, and socioeconomic deprivation index. Single- and multiple-exposure linear regression models and a cluster analysis were carried out. RESULTS In multiple exposure models, higher child BP, in particular diastolic BP, was observed in association with higher exposure to air pollution, noise and ambient temperature during pregnancy, and with higher exposure to air pollution and higher building density during childhood (e.g., mean change [95% confidence interval] for an interquartile range increase in prenatal NO2 = 0.7 mmHg[0.3;1.2]). Lower BP was observed in association with higher temperature and better street connectivity during childhood (e.g., temperature = -1.1[-1.6;-0.6]). Some of these associations were not robust in the sensitivity analyses. Mother-child pairs were grouped into six urban environment exposure clusters. Compared to the cluster representing the least harmful urban environment, the two clusters representing the most harmful environment (high in air pollution, traffic, noise, and low in green space) were both associated with higher diastolic BP (1.3[0.1;2.6] and 1.5[0.5;2.5]). CONCLUSION This first large systematic study suggests that living in a harmful urban environment may impact BP regulation in children. These findings reinforce the importance of designing cities that promote healthy environments to reduce long-term risk of hypertension and other cardiovascular diseases.
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Affiliation(s)
- Charline Warembourg
- ISGlobal, Doctor Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
| | - Mark Nieuwenhuijsen
- ISGlobal, Doctor Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Ferran Ballester
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Department of Nursing, Universitat de València, Valencia, Spain; FISABIO-Universitat Jaume I-Universitat de València Joint Research Unit of Epidemiology and Environmental Health, Valencia, Spain
| | - Montserrat de Castro
- ISGlobal, Doctor Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Ana Esplugues
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Department of Nursing, Universitat de València, Valencia, Spain; FISABIO-Universitat Jaume I-Universitat de València Joint Research Unit of Epidemiology and Environmental Health, Valencia, Spain
| | - Barbara Heude
- Université de Paris, Center for Research in Epidemiology and StatisticS (CRESS), INSERM, INRA, F-75004 Paris, France
| | - Léa Maitre
- ISGlobal, Doctor Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Rosemary McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Oliver Robinson
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, UK
| | - Rémy Slama
- Inserm, Univ. Grenoble Alpes, CNRS, IAB (Institute of Advanced Biosciences), Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Grenoble, France
| | - Jordi Sunyer
- ISGlobal, Doctor Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Jose Urquiza
- ISGlobal, Doctor Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Xavier Basagaña
- ISGlobal, Doctor Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Martine Vrijheid
- ISGlobal, Doctor Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
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170
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Fernández-Pires P, Valera-Gran D, Hurtado-Pomares M, Espinosa-Sempere C, Sánchez-Pérez A, Juárez-Leal I, Ruiz-Carbonell MP, Peral-Gómez P, Campos-Sánchez I, Pérez-Vázquez MT, Navarrete-Muñoz EM. Sleep Duration and Quality and Sensory Reactivity in School-Aged Children: The Spanish Cross-Sectional InProS Study. Front Pediatr 2021; 9:646011. [PMID: 34291016 PMCID: PMC8286990 DOI: 10.3389/fped.2021.646011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Accepted: 06/04/2021] [Indexed: 01/30/2023] Open
Abstract
Background: The relationship between children's sleep and health has been widely examined; however, research focused on the link between sleep and sensory reactivity in children without medical conditions is relatively new and based on studies with small samples. Hence, we aimed at exploring the association between sleep duration and quality and prevalence of sensory reactivity in a population-based sample of children aged 3-7. Methods: We examined data on 579 school-age children from the InProS project, a cross-sectional population-based study. Children's sleep duration was classified as <10 vs. ≥10 h/day, and sleep quality was measured using the Pediatric Sleep Questionnaire, defining poor quality sleep as a score of ≥0.33. The Short Sensory Profile (SSP) was used to classify children with or without sensory reactivity using the cut-off points proposed by W. Dunn for SSP total score and each SSP subscale. Prevalence ratios (PR) using Poisson multiple regression models with robust variance were estimated to examine main associations. Results: Around a third (32.6%; n = 189) slept <10 h/day and 10.4% presented poor sleep quality. The prevalence of sensory reactivity was 29.5% for total SSP (<155), 11.4% for tactile sensitivity (<30), 15% for taste/smell sensitivity (<15), 22.5% for movement sensitivity (<13), 49.1% for under-responsive/seeks sensation (<27), 44.4% for auditory filtering (<23), 12.4% for low energy/weak (<26), and 25.4% for visual/auditory sensitivity (<19). Main findings indicated that poor sleep quality was significantly associated with a greater prevalence of sensory reactivity for SSP total score (PR = 1.27; IC 95%: 1.18; 1.38), tactile sensitivity (PR = 1.09, IC95%: 1.00-1.19), taste/smell sensitivity (PR = 1.18, IC95%: 1.08-1.30), under-responsive/seeks sensation (PR = 1.28, IC95%: 1.20-1.37), auditory filtering (PR = 1.31, IC95%: 1.23-1.39), low energy/weak (PR = 1.14, IC95%: 1.04-1.25) and audiovisual sensitivity (PR = 1.15, IC95%: 1.05-1.26) scores after adjusting for potential confounders. Conclusions: In this study, we observed that poor sleep quality was statistically significantly associated with a higher prevalence of sensory reactivity as measured by the total SSP and almost all SSP subscales. To our knowledge, this is the first time that this association has been explored and reported. Further research from prospective studies is required to confirm these findings.
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Affiliation(s)
| | - Desirée Valera-Gran
- Department of Surgery and Pathology, Miguel Hernández University, Alicante, Spain.,Occupational Therapy Research Group (InTeO, Investigación en Terapia Ocupacional), Miguel Hernández University, Alicante, Spain
| | - Miriam Hurtado-Pomares
- Department of Surgery and Pathology, Miguel Hernández University, Alicante, Spain.,Occupational Therapy Research Group (InTeO, Investigación en Terapia Ocupacional), Miguel Hernández University, Alicante, Spain.,Miguel Hernández University-Vice Rectorade of Institutional Relations, Elche, Spain
| | - Cristina Espinosa-Sempere
- Department of Surgery and Pathology, Miguel Hernández University, Alicante, Spain.,Occupational Therapy Research Group (InTeO, Investigación en Terapia Ocupacional), Miguel Hernández University, Alicante, Spain
| | - Alicia Sánchez-Pérez
- Department of Surgery and Pathology, Miguel Hernández University, Alicante, Spain.,Occupational Therapy Research Group (InTeO, Investigación en Terapia Ocupacional), Miguel Hernández University, Alicante, Spain
| | - Iris Juárez-Leal
- Department of Surgery and Pathology, Miguel Hernández University, Alicante, Spain.,Occupational Therapy Research Group (InTeO, Investigación en Terapia Ocupacional), Miguel Hernández University, Alicante, Spain
| | - María-Pilar Ruiz-Carbonell
- Department of Surgery and Pathology, Miguel Hernández University, Alicante, Spain.,Centro de Desarrollo Infantil Sentits, Alicante, Spain
| | - Paula Peral-Gómez
- Department of Surgery and Pathology, Miguel Hernández University, Alicante, Spain.,Occupational Therapy Research Group (InTeO, Investigación en Terapia Ocupacional), Miguel Hernández University, Alicante, Spain
| | - Irene Campos-Sánchez
- Department of Surgery and Pathology, Miguel Hernández University, Alicante, Spain
| | - María-Teresa Pérez-Vázquez
- Department of Surgery and Pathology, Miguel Hernández University, Alicante, Spain.,Miguel Hernández University-Vice Rectorade of Institutional Relations, Elche, Spain
| | - Eva-María Navarrete-Muñoz
- Department of Surgery and Pathology, Miguel Hernández University, Alicante, Spain.,Occupational Therapy Research Group (InTeO, Investigación en Terapia Ocupacional), Miguel Hernández University, Alicante, Spain
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171
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Lozano M, Murcia M, Soler-Blasco R, González L, Iriarte G, Rebagliato M, Lopez-Espinosa MJ, Esplugues A, Ballester F, Llop S. Exposure to mercury among 9-year-old children and neurobehavioural function. ENVIRONMENT INTERNATIONAL 2021; 146:106173. [PMID: 33096466 DOI: 10.1016/j.envint.2020.106173] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 09/14/2020] [Accepted: 09/30/2020] [Indexed: 05/28/2023]
Abstract
Mercury (Hg) is an environmental neurotoxicant whose main route of exposure in humans is the consumption of seafood. The aim of this study was to explore the relationship between Hg exposure at 9 years old and behaviour assessed at 9 and 11 years old. Study subjects were mother-child pairs participating in the INMA (Environment and Childhood) Project in Valencia (Spain). Total Hg (THg) was measured in hair samples from the children at 9 years old. Behaviour and emotions were assessed at 9 (n = 472) years and 11 (n = 385) years of age using the Child Behaviour Checklist test (CBCL) and the Conners Parents Rating Scale-Revised: Short Form (CPRS-R:S). Furthermore, the attention function was assessed by the Attention Network Test at 11 years old. Socio-demographic, lifestyle and dietary information was collected through questionnaires during pregnancy and childhood. Polymorphism in BDNF, APOE and GSTP1 were genotyped in cord blood DNA. Multivariable negative binomial regression models were built in order to study the association between THg concentrations and the scores obtained by the children at 9 and 11 years old. Effect modification by sex and genetic polymorphisms was assessed. The association between Hg levels and CBCL scores was positive (worse neurobehavioural development) for the CBCL internalizing and total problem scales (Incidence Rate Ratio [95% confidence interval] = 1.07 [1.01, 1.13] and 1.05 [0.99, 1.11], respectively). The association between Hg and the externalizing and total problems CBCL scales and the Attention Deficit Hyperactivity Disorder (ADHD) index of the CPRS-R:S was different according to sex, with boys obtaining worse scores with increasing Hg, compared to girls. Statistically significant interactions were also observed for genetic polymorphisms affecting the association between early exposure to Hg and both CBCL and CPRS-R:S scores. In conclusion, postnatal Hg exposure is associated with poorer neurobehavioural development in 9- and 11-year-old children. Sex and the presence of certain genetic polymorphisms modified this association.
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Affiliation(s)
- Manuel Lozano
- Preventive Medicine and Public Health, Food Sciences, Toxicology and Forensic Medicine Department, Universitat de València, Valencia, Spain
| | - Mario Murcia
- 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; Servicio de Análisis de Sistemas de Información Sanitaria, Conselleria de Sanitat, Generalitat Valenciana, Valencia, Spain
| | - Raquel Soler-Blasco
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain
| | - Llúcia González
- 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
| | - Gorka Iriarte
- Laboratorio de Salud Pública, Alava, Vitoria Gasteiz, Spain
| | - Marisa Rebagliato
- 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; Department of Medicine, Universitat Jaume I, Castelló, Spain
| | - Maria-Jose Lopez-Espinosa
- 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; Department of Nursing School, Universitat de València, Valencia, Spain
| | - Ana Esplugues
- 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; Department of Nursing School, Universitat de València, Valencia, Spain.
| | - Ferran Ballester
- 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; Department of Nursing School, Universitat de València, Valencia, Spain
| | - Sabrina Llop
- 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
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172
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Exposure to Radiofrequency Electromagnetic Field in the High-Frequency Band and Cognitive Function in Children and Adolescents: A Literature Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17249179. [PMID: 33302600 PMCID: PMC7764655 DOI: 10.3390/ijerph17249179] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 12/03/2020] [Accepted: 12/04/2020] [Indexed: 12/23/2022]
Abstract
With increasing use of mobile phones, exposure to radiofrequency electromagnetic field (RF-EMF) in the high-frequency band associated with mobile phones has become a public concern, with potentially adverse effects on cognitive function in children and adolescents. However, findings regarding the relation of RF-EMF and cognitive function in children and adolescents have been inconsistent due to a number of study design-related factors, such as types of exposure and outcome measures, age of participants, and the era of study conduction. The present literature review focused on these possible factors that could explain this inconsistency. This review identified 12 eligible studies (participants ages 4 to 17 years) and extracted a total 477 relations. In total, 86% of the extracted relations were not statistically significant; in the remaining 14%, a negative relation between RF-EMF and cognitive performance was detected under limited conditions: when (1) RF-EMF was assessed using objective measurement not subjective measurement (i.e., questionnaire), (2) participants were relatively older (12 years and above) and had greater opportunity of exposure to RF-EMF, and (3) the collection of cognitive function data was conducted after 2012. Given that 86% of the extracted relations in this analysis were not statistically significant, the interpretation should be approached with caution due to the possibility of the 14% of significant relationships, extracted in this review, representing chance findings.
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173
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Calvo-Serra B, Maitre L, Lau CHE, Siskos AP, Gützkow KB, Andrušaitytė S, Casas M, Cadiou S, Chatzi L, González JR, Grazuleviciene R, McEachan R, Slama R, Vafeiadi M, Wright J, Coen M, Vrijheid M, Keun HC, Escaramís G, Bustamante M. Urinary metabolite quantitative trait loci in children and their interaction with dietary factors. Hum Mol Genet 2020; 29:3830-3844. [PMID: 33283231 DOI: 10.1093/hmg/ddaa257] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 11/26/2020] [Accepted: 11/30/2020] [Indexed: 11/14/2022] Open
Abstract
Human metabolism is influenced by genetic and environmental factors. Previous studies have identified over 23 loci associated with more than 26 urine metabolites levels in adults, which are known as urinary metabolite quantitative trait loci (metabQTLs). The aim of the present study is the identification for the first time of urinary metabQTLs in children and their interaction with dietary patterns. Association between genome-wide genotyping data and 44 urine metabolite levels measured by proton nuclear magnetic resonance spectroscopy was tested in 996 children from the Human Early Life Exposome project. Twelve statistically significant urine metabQTLs were identified, involving 11 unique loci and 10 different metabolites. Comparison with previous findings in adults revealed that six metabQTLs were already known, and one had been described in serum and three were involved the same locus as other reported metabQTLs but had different urinary metabolites. The remaining two metabQTLs represent novel urine metabolite-locus associations, which are reported for the first time in this study [single nucleotide polymorphism (SNP) rs12575496 for taurine, and the missense SNP rs2274870 for 3-hydroxyisobutyrate]. Moreover, it was found that urinary taurine levels were affected by the combined action of genetic variation and dietary patterns of meat intake as well as by the interaction of this SNP with beverage intake dietary patterns. Overall, we identified 12 urinary metabQTLs in children, including two novel associations. While a substantial part of the identified loci affected urinary metabolite levels both in children and in adults, the metabQTL for taurine seemed to be specific to children and interacted with dietary patterns.
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Affiliation(s)
- Beatriz Calvo-Serra
- ISGlobal, Barcelona 08003, Spain.,Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain
| | - Léa Maitre
- ISGlobal, Barcelona 08003, Spain.,Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain
| | - Chung-Ho E Lau
- Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, UK
| | - Alexandros P Siskos
- Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, UK.,Cancer Metabolism and Systems Toxicology Group, Division of Cancer, Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital Campus, London W12 0NN, UK
| | - Kristine B Gützkow
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo 0213, Norway
| | - Sandra Andrušaitytė
- Department of Environmental Science, Vytautas Magnus University, Kaunas 44248, Lithuania
| | - Maribel Casas
- ISGlobal, Barcelona 08003, Spain.,Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain
| | - Solène Cadiou
- Team of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, Grenoble 38000, France
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles 90033, USA
| | - Juan R González
- ISGlobal, Barcelona 08003, Spain.,Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain
| | - Regina Grazuleviciene
- Department of Environmental Science, Vytautas Magnus University, Kaunas 44248, Lithuania
| | | | - Rémy Slama
- Team of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, Grenoble 38000, France
| | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion 71003, Greece
| | - John Wright
- Bradford Institute for Health Research, Bradford BD9 6RJ, UK
| | - Murieann Coen
- Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, UK.,Oncology Safety, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge CB2 0RE, UK
| | - Martine Vrijheid
- ISGlobal, Barcelona 08003, Spain.,Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain
| | - Hector C Keun
- Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, UK.,Cancer Metabolism and Systems Toxicology Group, Division of Cancer, Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital Campus, London W12 0NN, UK
| | - Geòrgia Escaramís
- Departament de Biomedicina, Institut de Neurociències, Universitat de Barcelona (UB), Barcelona 08036, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain
| | - Mariona Bustamante
- ISGlobal, Barcelona 08003, Spain.,Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain
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174
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Lemonnier N, Melén E, Jiang Y, Joly S, Ménard C, Aguilar D, Acosta‐Perez E, Bergström A, Boutaoui N, Bustamante M, Canino G, Forno E, Ramon González J, Garcia‐Aymerich J, Gruzieva O, Guerra S, Heinrich J, Kull I, Ibarluzea Maurolagoitia J, Santa‐Marina Rodriguez L, Thiering E, Wickman M, Akdis C, Akdis M, Chen W, Keil T, Koppelman GH, Siroux V, Xu C, Hainaut P, Standl M, Sunyer J, Celedón JC, Maria Antó J, Bousquet J. A novel whole blood gene expression signature for asthma, dermatitis, and rhinitis multimorbidity in children and adolescents. Allergy 2020; 75:3248-3260. [PMID: 32277847 DOI: 10.1111/all.14314] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 03/25/2020] [Accepted: 03/30/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND Allergic diseases often occur in combination (multimorbidity). Human blood transcriptome studies have not addressed multimorbidity. Large-scale gene expression data were combined to retrieve biomarkers and signaling pathways to disentangle allergic multimorbidity phenotypes. METHODS Integrated transcriptomic analysis was conducted in 1233 participants with a discovery phase using gene expression data (Human Transcriptome Array 2.0) from whole blood of 786 children from three European birth cohorts (MeDALL), and a replication phase using RNA Sequencing data from an independent cohort (EVA-PR, n = 447). Allergic diseases (asthma, atopic dermatitis, rhinitis) were considered as single disease or multimorbidity (at least two diseases), and compared with no disease. RESULTS Fifty genes were differentially expressed in allergic diseases. Thirty-two were not previously described in allergy. Eight genes were consistently overexpressed in all types of multimorbidity for asthma, dermatitis, and rhinitis (CLC, EMR4P, IL5RA, FRRS1, HRH4, SLC29A1, SIGLEC8, IL1RL1). All genes were replicated the in EVA-PR cohort. RT-qPCR validated the overexpression of selected genes. In MeDALL, 27 genes were differentially expressed in rhinitis alone, but none was significant for asthma or dermatitis alone. The multimorbidity signature was enriched in eosinophil-associated immune response and signal transduction. Protein-protein interaction network analysis identified IL5/JAK/STAT and IL33/ST2/IRAK/TRAF as key signaling pathways in multimorbid diseases. Synergistic effect of multimorbidity on gene expression levels was found. CONCLUSION A signature of eight genes identifies multimorbidity for asthma, rhinitis, and dermatitis. Our results have clinical and mechanistic implications, and suggest that multimorbidity should be considered differently than allergic diseases occurring alone.
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175
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Cabré-Riera A, van Wel L, Liorni I, Thielens A, Birks LE, Pierotti L, Joseph W, González-Safont L, Ibarluzea J, Ferrero A, Huss A, Wiart J, Santa-Marina L, Torrent M, Vrijkotte T, Capstick M, Vermeulen R, Vrijheid M, Cardis E, Röösli M, Guxens M. Association between estimated whole-brain radiofrequency electromagnetic fields dose and cognitive function in preadolescents and adolescents. Int J Hyg Environ Health 2020; 231:113659. [PMID: 33221634 DOI: 10.1016/j.ijheh.2020.113659] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Revised: 09/18/2020] [Accepted: 10/29/2020] [Indexed: 12/24/2022]
Abstract
OBJECTIVE To investigate the association between estimated whole-brain radiofrequency electromagnetic fields (RF-EMF) dose, using an improved integrated RF-EMF exposure model, and cognitive function in preadolescents and adolescents. METHODS Cross-sectional analysis in preadolescents aged 9-11 years and adolescents aged 17-18 years from the Dutch Amsterdam Born Children and their Development Study (n = 1664 preadolescents) and the Spanish INfancia y Medio Ambiente Project (n = 1288 preadolescents and n = 261 adolescents), two population-based birth cohort studies. Overall whole-brain RF-EMF doses (mJ/kg/day) were estimated for several RF-EMF sources together including mobile and Digital Enhanced Cordless Telecommunications phone calls (named phone calls), other mobile phone uses than calling, tablet use, laptop use (named screen activities), and far-field sources. We also estimated whole-brain RF-EMF doses in these three groups separately (i.e. phone calls, screen activities, and far-field) that lead to different patterns of RF-EMF exposure. We assessed non-verbal intelligence in the Dutch and Spanish preadolescents, information processing speed, attentional function, and cognitive flexibility in the Spanish preadolescents, and working memory and semantic fluency in the Spanish preadolescents and adolescents using validated neurocognitive tests. RESULTS Estimated overall whole-brain RF-EMF dose was 90.1 mJ/kg/day (interquartile range (IQR) 42.7; 164.0) in the Dutch and Spanish preadolescents and 105.1 mJ/kg/day (IQR 51.0; 295.7) in the Spanish adolescents. Higher overall estimated whole-brain RF-EMF doses from all RF-EMF sources together and from phone calls were associated with lower non-verbal intelligence score in the Dutch and Spanish preadolescents (-0.10 points, 95% CI -0.19; -0.02 per 100 mJ/kg/day increase in each exposure). However, none of the whole-brain RF-EMF doses was related to any other cognitive function outcome in the Spanish preadolescents or adolescents. CONCLUSIONS Our results suggest that higher brain exposure to RF-EMF is related to lower non-verbal intelligence but not to other cognitive function outcomes. Given the cross-sectional nature of the study, the small effect sizes, and the unknown biological mechanisms, we cannot discard that our resultsare due to chance finding or reverse causality. Longitudinal studies on RF-EMF brain exposure and cognitive function are needed.
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Affiliation(s)
- Alba Cabré-Riera
- ISGlobal, Doctor Aiguader 88, 08003, Barcelona, Spain; Pompeu Fabra University, Doctor Aiguader 88, 08003, Barcelona, Spain; Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Avenida de Monforte de Lemos 5, 28029, Madrid, Spain
| | - Luuk van Wel
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Yalelaan 2, 3584 CM Utrecht, the Netherlands
| | - Ilaria Liorni
- IT'IS Foundation, Zeughausstrasse 43, CH-8004 Zurich, Switzerland
| | - Arno Thielens
- Department of Information Technology, Ghent University/IMEC, Technologiepark 126, 9052, Gent, Belgium
| | - Laura Ellen Birks
- ISGlobal, Doctor Aiguader 88, 08003, Barcelona, Spain; Pompeu Fabra University, Doctor Aiguader 88, 08003, Barcelona, Spain; Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Avenida de Monforte de Lemos 5, 28029, Madrid, Spain
| | - Livia Pierotti
- ISGlobal, Doctor Aiguader 88, 08003, Barcelona, Spain; Pompeu Fabra University, Doctor Aiguader 88, 08003, Barcelona, Spain; Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Avenida de Monforte de Lemos 5, 28029, Madrid, Spain
| | - Wout Joseph
- Department of Information Technology, Ghent University/IMEC, Technologiepark 126, 9052, Gent, Belgium
| | - Llúcia González-Safont
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Avenida de Monforte de Lemos 5, 28029, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Avinguda de Cataluya 21, 46020 Valencia, Spain
| | - Jesús Ibarluzea
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Avenida de Monforte de Lemos 5, 28029, Madrid, Spain; Department of Health, Public Health Division of Gipuzkoa, 20014, San Sebastian, Spain; BIODONOSTIA Health Research Institute, Avenida de Navarra 4, 20013, San Sebastian, Spain; Faculty of Psychology, University of the Basque Country (UPV/EHU), Berio Pasealekua, 20018, San Sebastian, Spain
| | - Amparo Ferrero
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Avenida de Monforte de Lemos 5, 28029, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Avinguda de Cataluya 21, 46020 Valencia, Spain
| | - Anke Huss
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Yalelaan 2, 3584 CM Utrecht, the Netherlands
| | - Joe Wiart
- LTCI, Telecom Paris, Chaire C2M France, 19 Place Marguerite Perey, 91120, Palaiseau, France
| | - Loreto Santa-Marina
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Avenida de Monforte de Lemos 5, 28029, Madrid, Spain; Department of Health, Public Health Division of Gipuzkoa, 20014, San Sebastian, Spain; BIODONOSTIA Health Research Institute, Avenida de Navarra 4, 20013, San Sebastian, Spain
| | - Maties Torrent
- ib-Salut, Area de Salud de Menorca, Carrer Sant Josep 5, 07720, Santa Ana, Spain
| | - Tanja Vrijkotte
- Department of Public and Occipational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Center, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, the Netherlands
| | - Myles Capstick
- IT'IS Foundation, Zeughausstrasse 43, CH-8004 Zurich, Switzerland
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Yalelaan 2, 3584 CM Utrecht, the Netherlands
| | - Martine Vrijheid
- ISGlobal, Doctor Aiguader 88, 08003, Barcelona, Spain; Pompeu Fabra University, Doctor Aiguader 88, 08003, Barcelona, Spain; Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Avenida de Monforte de Lemos 5, 28029, Madrid, Spain
| | - Elisabeth Cardis
- ISGlobal, Doctor Aiguader 88, 08003, Barcelona, Spain; Pompeu Fabra University, Doctor Aiguader 88, 08003, Barcelona, Spain; Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Avenida de Monforte de Lemos 5, 28029, Madrid, Spain
| | - Martin Röösli
- Departement of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, 4051, Basel, Switzerland; University of Basel, Petersplatz 1, 4051, Basel, Switzerland
| | - Mònica Guxens
- ISGlobal, Doctor Aiguader 88, 08003, Barcelona, Spain; Pompeu Fabra University, Doctor Aiguader 88, 08003, Barcelona, Spain; Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Avenida de Monforte de Lemos 5, 28029, Madrid, Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, Dr. Molenwaterplein 50, 3015GE, Rotterdam, the Netherlands.
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176
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Laine JE, Bodinier B, Robinson O, Plusquin M, Scalbert A, Keski-Rahkonen P, Robinot N, Vermeulen R, Pizzi C, Asta F, Nawrot T, Gulliver J, Chatzi L, Kogevinas M, Nieuwenhuijsen M, Sunyer J, Vrijheid M, Chadeau-Hyam M, Vineis P. Prenatal Exposure to Multiple Air Pollutants, Mediating Molecular Mechanisms, and Shifts in Birthweight. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2020; 54:14502-14513. [PMID: 33124810 DOI: 10.1021/acs.est.0c02657] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Mechanisms underlying adverse birth and later in life health effects from exposure to air pollution during the prenatal period have not been not fully elucidated, especially in the context of mixtures. We assessed the effects of prenatal exposure to mixtures of air pollutants of particulate matter (PM), PM2.5, PM10, nitrogen oxides, NO2, NOx, ultrafine particles (UFP), and oxidative potential (OP) of PM2.5 on infant birthweight in four European birth cohorts and the mechanistic underpinnings through cross-omics of metabolites and inflammatory proteins. The association between mixtures of air pollutants and birthweight z-scores (standardized for gestational age) was assessed for three different mixture models, using Bayesian machine kernel regression (BKMR). We determined the direct effect for PM2.5, PM10, NO2, and mediation by cross-omic signatures (identified using sparse partial least-squares regression) using causal mediation BKMR models. There was a negative association with birthweight z-scores and exposure to mixtures of air pollutants, where up to -0.21 or approximately a 96 g decrease in birthweight, comparing the 75th percentile to the median level of exposure to the air pollutant mixture could occur. Shifts in birthweight z-scores from prenatal exposure to PM2.5, PM10, and NO2 were mediated by molecular mechanisms, represented by cross-omics scores. Interleukin-17 and epidermal growth factor were identified as important inflammatory responses underlyingair pollution-associated shifts in birthweight. Our results signify that by identifying mechanisms through which mixtures of air pollutants operate, the causality of air pollution-associated shifts in birthweight is better supported, substantiating the need for reducing exposure in vulnerable populations.
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Affiliation(s)
- Jessica E Laine
- Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health, Imperial College London, London SW7 2BU, United Kingdom
| | - Barbara Bodinier
- Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health, Imperial College London, London SW7 2BU, United Kingdom
| | - Oliver Robinson
- Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health, Imperial College London, London SW7 2BU, United Kingdom
| | - Michelle Plusquin
- Center for Environmental Sciences, Hasselt University, Hasselt 3500, Belgium
| | - Augustin Scalbert
- Nutrition and Metabolism Section, Biomarkers Group, International Agency for Research on Cancer (IARC), Lyon 69372, France
| | - Pekka Keski-Rahkonen
- Nutrition and Metabolism Section, Biomarkers Group, International Agency for Research on Cancer (IARC), Lyon 69372, France
| | - Nivonirina Robinot
- Nutrition and Metabolism Section, Biomarkers Group, International Agency for Research on Cancer (IARC), Lyon 69372, France
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Environmental Epidemiology Division, Utrecht University, Utrecht 3584 CS, Netherlands
| | - Costanza Pizzi
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO-Piemonte, Turin 10126, Italy
| | - Federica Asta
- Department of Epidemiology, Lazio Regional Health Service, ASL Roma 1, Rome 00147, Italy
| | - Tim Nawrot
- Center for Environmental Sciences, Hasselt University, Hasselt 3500, Belgium
- Department of Public Health, Environment and Health Unit, Leuven University (KU Leuven), Leuven 3000, Belgium
| | - John Gulliver
- Centre for Environmental Health and Sustainability & School of Geography, Geology and the Environment, University of Leicester, Leicester LE1 7RH, United Kingdom
| | - Leda Chatzi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion 700 13, Crete, Greece
| | - Manolis Kogevinas
- ISGlobal, Barcelona Institute for Global Health, Barcelona 08003, Spain
- CIBER Epidemiologia y Salud Pública (CIBERESP), Madrid 28029, Spain
- Universitat Pompeu Fabra (UPF), Barcelona 08002, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona 08003, Spain
| | | | - Jordi Sunyer
- ISGlobal, Barcelona Institute for Global Health, Barcelona 08003, Spain
- CIBER Epidemiologia y Salud Pública (CIBERESP), Madrid 28029, Spain
- Universitat Pompeu Fabra (UPF), Barcelona 08002, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona 08003, Spain
| | - Martine Vrijheid
- ISGlobal, Barcelona Institute for Global Health, Barcelona 08003, Spain
- CIBER Epidemiologia y Salud Pública (CIBERESP), Madrid 28029, Spain
- Universitat Pompeu Fabra (UPF), Barcelona 08002, Spain
| | - Marc Chadeau-Hyam
- Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health, Imperial College London, London SW7 2BU, United Kingdom
| | - Paolo Vineis
- Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health, Imperial College London, London SW7 2BU, United Kingdom
- Italian Institute of Technology, Genova 16163, Italy
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177
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Neumann A, Walton E, Alemany S, Cecil C, González JR, Jima DD, Lahti J, Tuominen ST, Barker ED, Binder E, Caramaschi D, Carracedo Á, Czamara D, Evandt J, Felix JF, Fuemmeler BF, Gutzkow KB, Hoyo C, Julvez J, Kajantie E, Laivuori H, Maguire R, Maitre L, Murphy SK, Murcia M, Villa PM, Sharp G, Sunyer J, Raikkönen K, Bakermans-Kranenburg M, IJzendoorn MV, Guxens M, Relton CL, Tiemeier H. Association between DNA methylation and ADHD symptoms from birth to school age: a prospective meta-analysis. Transl Psychiatry 2020; 10:398. [PMID: 33184255 PMCID: PMC7665047 DOI: 10.1038/s41398-020-01058-z] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 06/29/2020] [Accepted: 07/22/2020] [Indexed: 01/06/2023] Open
Abstract
Attention-deficit and hyperactivity disorder (ADHD) is a common childhood disorder with a substantial genetic component. However, the extent to which epigenetic mechanisms play a role in the etiology of the disorder is unknown. We performed epigenome-wide association studies (EWAS) within the Pregnancy And Childhood Epigenetics (PACE) Consortium to identify DNA methylation sites associated with ADHD symptoms at two methylation assessment periods: birth and school age. We examined associations of both DNA methylation in cord blood with repeatedly assessed ADHD symptoms (age 4-15 years) in 2477 children from 5 cohorts and of DNA methylation at school age with concurrent ADHD symptoms (age 7-11 years) in 2374 children from 9 cohorts, with 3 cohorts participating at both timepoints. CpGs identified with nominal significance (p < 0.05) in either of the EWAS were correlated between timepoints (ρ = 0.30), suggesting overlap in associations; however, top signals were very different. At birth, we identified nine CpGs that predicted later ADHD symptoms (p < 1 × 10-7), including ERC2 and CREB5. Peripheral blood DNA methylation at one of these CpGs (cg01271805 in the promoter region of ERC2, which regulates neurotransmitter release) was previously associated with brain methylation. Another (cg25520701) lies within the gene body of CREB5, which previously was associated with neurite outgrowth and an ADHD diagnosis. In contrast, at school age, no CpGs were associated with ADHD with p < 1 × 10-7. In conclusion, we found evidence in this study that DNA methylation at birth is associated with ADHD. Future studies are needed to confirm the utility of methylation variation as biomarker and its involvement in causal pathways.
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Affiliation(s)
- Alexander Neumann
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands.,Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada.,The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Esther Walton
- Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK.,Department of Psychology, University of Bath, Bath, UK
| | - Silvia Alemany
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Charlotte Cecil
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands.,The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Juan Ramon González
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Dereje D Jima
- Center for Human Health and the Environment, NCSU, Raleigh, NC, USA.,Bioinformatics Research Center, NCSU, Raleigh, NC, USA
| | - Jari Lahti
- Turku Institute for Advanced Studies, University of Turku, Turku, Finland.,Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Samuli T Tuominen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Edward D Barker
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Elisabeth Binder
- Department of Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany.,Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Doretta Caramaschi
- Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
| | - Ángel Carracedo
- Grupo de Medicina Xenómica, Fundación Pública Galega de Merdicina Xenómica, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), SERGAS, Santiago de Compostela, Spain.,Centro de Investigación en Red de Enfermedades Raras (CIBERER) y Centro Nacional de Genotipado (CEGEN-PRB3), Universidad de Santiago de Compostela, Santiago de Compostela, Spain
| | - Darina Czamara
- Department of Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany
| | - Jorunn Evandt
- Department of Air Pollution and Noise, Norwegian Institute of Public Health, Oslo, Norway
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.,Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Bernard F Fuemmeler
- Department of Health Behavior and Policy, Virginia Commonwealth University, Richmond, VA, USA.,Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, USA
| | - Kristine B Gutzkow
- Department of Molecular Biology, Norwegian Institute of Public Health, Oslo, Norway
| | - Cathrine Hoyo
- Center for Human Health and the Environment, NCSU, Raleigh, NC, USA.,Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
| | - Jordi Julvez
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Eero Kajantie
- Chronic Disease Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland.,Hospital for Children and Adolescents, Helsinki University Central Hospital and University of Helsinki, Helsinki, Finland
| | - Hannele Laivuori
- Medical and Clinical Genetics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
| | - Rachel Maguire
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
| | - Léa Maitre
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Susan K Murphy
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, USA
| | - Mario Murcia
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain.,Joint Research Unit of Epidemiology and Environmental Health, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain
| | - Pia M Villa
- Medical and Clinical Genetics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Gemma Sharp
- Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jordi Sunyer
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Katri Raikkönen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | | | | | - Mònica Guxens
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands.,ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Caroline L Relton
- Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands. .,Department of Social and Behavioral Science, Harvard TH Chan School of Public Health, Boston, MA, USA.
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178
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Granum B, Oftedal B, Agier L, Siroux V, Bird P, Casas M, Warembourg C, Wright J, Chatzi L, de Castro M, Donaire D, Grazuleviciene R, Småstuen Haug L, Maitre L, Robinson O, Tamayo-Uria I, Urquiza J, Nieuwenhuijsen M, Slama R, Thomsen C, Vrijheid M. Multiple environmental exposures in early-life and allergy-related outcomes in childhood. ENVIRONMENT INTERNATIONAL 2020; 144:106038. [PMID: 32854059 PMCID: PMC8768577 DOI: 10.1016/j.envint.2020.106038] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 06/10/2020] [Accepted: 08/03/2020] [Indexed: 05/15/2023]
Abstract
INTRODUCTION Early onset and high prevalence of allergic diseases result in high individual and socio-economic burdens. Several studies provide evidence for possible effects of environmental factors on allergic diseases, but these are mainly single-exposure studies. The exposome provides a novel holistic approach by simultaneously studying a large set of exposures. The aim of the study was to evaluate the association between a broad range of prenatal and childhood environmental exposures and allergy-related outcomes in children. MATERIAL AND METHODS Analyses of associations between 90 prenatal and 107 childhood exposures and allergy-related outcomes (last 12 months: rhinitis and itchy rash; ever: doctor-diagnosed eczema and food allergy) in 6-11 years old children (n = 1270) from the European Human Early-Life Exposome cohort were performed. Initially, we used an exposome-wide association study (ExWAS) considering the exposures independently, followed by a deletion-substitution-addition selection (DSA) algorithm considering all exposures simultaneously. All the exposure variables selected in the DSA were included in a final multi-exposure model using binomial general linear model (GLM). RESULTS In ExWAS, no exposures were associated with the outcomes after correction for multiple comparison. In multi-exposure models for prenatal exposures, lower distance of residence to nearest road and higher di-iso-nonyl phthalate level were associated with increased risk of rhinitis, and particulate matter absorbance (PMabs) was associated with a decreased risk. Furthermore, traffic density on nearest road was associated with increased risk of itchy rash and diethyl phthalate with a reduced risk. DSA selected no associations of childhood exposures, or between prenatal exposures and eczema or food allergy. DISCUSSION This first comprehensive and systematic analysis of many environmental exposures suggests that prenatal exposure to traffic-related variables, PMabs and phthalates are associated with rhinitis and itchy rash.
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Affiliation(s)
- Berit Granum
- Norwegian Institute of Public Health, Oslo, Norway.
| | | | - Lydiane Agier
- Team of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, Grenoble, France
| | - Valerie Siroux
- Team of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, Grenoble, France
| | - Philippa Bird
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford UK
| | - Maribel Casas
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Charline Warembourg
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford UK
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA; Department of Social Medicine, University of Crete, Greece; Department of Genetics & Cell Biology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - Montserrat de Castro
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - David Donaire
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Regina Grazuleviciene
- Department of Environmental Sciences, Vytauto Didziojo Universitetas, Kaunas, Lithuania
| | | | - Lea Maitre
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Oliver Robinson
- ISGlobal, Barcelona, Spain; MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
| | | | | | - Mark Nieuwenhuijsen
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Remy Slama
- Team of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, Grenoble, France
| | | | - Martine Vrijheid
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
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179
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Brown LJ, Myers S, Page AE, Emmott EH. Subjective Environmental Experiences and Women's Breastfeeding Journeys: A Survival Analysis Using an Online Survey of UK Mothers. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17217903. [PMID: 33126713 PMCID: PMC7662350 DOI: 10.3390/ijerph17217903] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 10/26/2020] [Accepted: 10/26/2020] [Indexed: 01/02/2023]
Abstract
Local physical and social environmental factors are important drivers of human health and behaviour. Environmental perception has been linked with both reproduction and parenting, but links between subjective environmental experiences and breastfeeding remain unclear. Using retrospective data from an online survey of UK mothers of children aged 0-24 months, Cox-Aalen survival models test whether negative subjective environmental experiences negatively correlated with any and exclusive breastfeeding (max n = 473). Matching predictions, hazards of stopping any breastfeeding were increased, albeit non-significantly, across the five environmental measures (HR: 1.05-1.26) Hazards for stopping exclusive breastfeeding were however (non-significantly) reduced (HR: 0.65-0.87). Score processes found no significant time-varying effects. However, estimated cumulative coefficient graphs showed that the first few weeks postpartum were most susceptible to environmental influences and that contrary to our predictions, mothers with worse subjective environmental experiences were less likely to stop breastfeeding at this time. In addition, the hazard of stopping exclusive breastfeeding declined over time for mothers who thought that littering was a problem. The predicted increased hazards of stopping breastfeeding were only evident in the later stages of any breastfeeding and only for mothers who reported littering as a problem or that people tended not to know each other. Perceived harsher physical and social environmental conditions are assumed to deter women from breastfeeding, but this may not always be the case. Women's hazards of stopping breastfeeding change over time and there may be particular timepoints in their breastfeeding journeys where subjective environmental experiences play a role.
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Affiliation(s)
- Laura J. Brown
- Department of International Development, London School of Economics & Political Science, London WC2A 2AE, UK
- Institute for Global Health, University College London, London NW3 2PF, UK
- Correspondence:
| | - Sarah Myers
- UCL Anthropology, University College London, London WC1H 0BW, UK; (S.M.); (E.H.E.)
- BirthRites Independent Max Planck Research Group, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
| | - Abigail E. Page
- Department of Population Health, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK;
| | - Emily H. Emmott
- UCL Anthropology, University College London, London WC1H 0BW, UK; (S.M.); (E.H.E.)
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180
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Cutillas-Tolín A, Adoamnei E, Navarrete-Muñoz EM, Vioque J, Moñino-García M, Jørgensen N, Chavarro JE, Mendiola J, Torres-Cantero AM. Adherence to diet quality indices in relation to semen quality and reproductive hormones in young men. Hum Reprod 2020; 34:1866-1875. [PMID: 31560742 DOI: 10.1093/humrep/dez157] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 07/01/2019] [Indexed: 01/01/2023] Open
Abstract
STUDY QUESTION Is adherence to an a priori defined diet quality indices [Alternate Healthy Index 2010 (AHEI-2010), relative Mediterranean diet score (rMED) or dietary approaches to stop hypertension (DASH)] associated with semen quality and reproductive hormone levels in young men? SUMMARY ANSWER Greater adherence to the DASH diet is related to higher sperm counts. WHAT IS KNOWN ALREADY Studies assessing the relationship between dietary intake and male reproductive function have mainly been focused on specific nutrients, food groups or data-driven dietary patterns, but the evidence on a priori defined dietary indices is still scarce. STUDY DESIGN, SIZE, DURATION Cross-sectional study of 209 male university students recruited from October 2010 to November 2011 in Murcia Region (Southern Spain). PARTICIPANTS/MATERIALS, SETTING, METHODS Healthy young men aged 18-23 years were included in this study. Diet was assessed using a validated food frequency questionnaire and three a priori-defined dietary indices (AHEI-2010, rMED and DASH) were calculated. Linear regression was used to analyze the relation between the three dietary indices and semen quality parameters and reproductive hormone levels accounting for potential confounders and covariates. MAIN RESULTS AND THE ROLE OF CHANCE We found statistically significant positive associations between the DASH index and sperm concentration (P, trend = 0.04), total sperm count (P, trend = 0.04) and total motile sperm count (P, trend = 0.02). No associations were observed for other semen parameters or male reproductive hormones. LIMITATIONS, REASONS FOR CAUTION Even though we adjusted for several known and suspected confounders we cannot exclude the possibility of residual or unmeasured confounding or chance findings. Subjects were blinded to the study outcomes thus reducing the potential influence on their report of diet. Our sample size may be too small to rule out associations with other semen parameters or reproductive hormones. Causal inference is limited, as usual with all observational studies. WIDER IMPLICATIONS OF THE FINDINGS The results suggest that greater adherence to the DASH may help improve sperm counts. This study was carried out on young men from the general population. However, results may differ among other populations (e.g. infertile men). Therefore, further research is needed to confirm these findings and extend these results to other populations. STUDY FUNDING/COMPETING INTEREST(S) This work was supported by Fundación Séneca, grants No 08808/PI/08 and No 19443/PI/14; Ministerio de Ciencia e Innovación, Instituto de Salud Carlos III (AES), grants No PI10/00985 and No PI13/01237; and grant P30DK046200 from the National Institutes of Health. Authors have no competing interests to declare.
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Affiliation(s)
- Ana Cutillas-Tolín
- Division of Preventive Medici ne and Public Health, Department of Public Health Sciences, University of Murcia School of Medicine, Murcia, Spain
- Health Research Methodology Group, Biomedical Research Institute of Murcia (IMIB-Arrixaca), El Palmar, Murcia, Spain
| | - Evdochia Adoamnei
- Division of Preventive Medici ne and Public Health, Department of Public Health Sciences, University of Murcia School of Medicine, Murcia, Spain
- Health Research Methodology Group, Biomedical Research Institute of Murcia (IMIB-Arrixaca), El Palmar, Murcia, Spain
| | - Eva M Navarrete-Muñoz
- Nutritional Epidemiology Unit, University Miguel Hernández, San Juan de Alicante, Alicante, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Institute for Health and Biomedical Research (ISABIAL - FISABIO Foundation), Alicante, Spain
| | - Jesús Vioque
- Nutritional Epidemiology Unit, University Miguel Hernández, San Juan de Alicante, Alicante, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Institute for Health and Biomedical Research (ISABIAL - FISABIO Foundation), Alicante, Spain
| | - Miriam Moñino-García
- Division of Preventive Medici ne and Public Health, Department of Public Health Sciences, University of Murcia School of Medicine, Murcia, Spain
- Health Research Methodology Group, Biomedical Research Institute of Murcia (IMIB-Arrixaca), El Palmar, Murcia, Spain
| | - Niels Jørgensen
- Department of Growth and Reproduction, University of Copenhagen, Rigshospitalet, Copenhagen, Denmark
| | - Jorge E Chavarro
- Department of Nutrition and Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jaime Mendiola
- Division of Preventive Medici ne and Public Health, Department of Public Health Sciences, University of Murcia School of Medicine, Murcia, Spain
- Health Research Methodology Group, Biomedical Research Institute of Murcia (IMIB-Arrixaca), El Palmar, Murcia, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Alberto M Torres-Cantero
- Division of Preventive Medici ne and Public Health, Department of Public Health Sciences, University of Murcia School of Medicine, Murcia, Spain
- Health Research Methodology Group, Biomedical Research Institute of Murcia (IMIB-Arrixaca), El Palmar, Murcia, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, "Virgen de la Arrixaca" University Clinical Hospital, El Palmar, Murcia, Spain
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181
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Baluch N, Gallant M, Ellis AK. Exposomal research in the context of birth cohorts: What have they taught us? Ann Allergy Asthma Immunol 2020; 125:639-645. [PMID: 32927048 DOI: 10.1016/j.anai.2020.09.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 09/02/2020] [Accepted: 09/04/2020] [Indexed: 12/26/2022]
Abstract
OBJECTIVE To review birth cohorts with an exposomal approach and their key outcomes and challenges. Exposome encompasses all human environmental exposures from conception onward. The impact of environmental exposures is greatest in critical stages of life, including fetal and early childhood. Birth cohorts provide a good study setting to assess exposome in the sensitive periods of life. Here, we review birth cohorts with an exposomal approach and their key outcomes and challenges. DATA SOURCES MEDLINE was searched for birth cohorts that have used an exposomal approach. STUDY SELECTIONS Relevant studies in English language were selected and reviewed. RESULTS The outcomes of birth cohorts with an exposomal approach improve our understanding of the association between environmental exposures and childhood diseases. For example, results from The Canadian Healthy Infant Longitudinal Development Study suggest an association between first trimester exposure to traffic-related air pollution and increased risk of allergic sensitization at 12 months of age (P = .6). In a smaller Canadian birth cohort study, it was found that regular use of air fresheners (adjusted P = .04) and presence of mold in the residence (adjusted P < .001) were associated with early childhood wheezing and cough. The application of emerging molecular omics technologies and new analytical tools has facilitated the comprehensive assessment of exposome in birth cohorts. CONCLUSION Birth cohort studies with an exposomal approach improve our understanding of the origin of childhood diseases by examining a complex network of environmental exposures during pregnancy and years beyond birth. International collaboration is required to develop large birth cohorts for better and more extensive assessment of exposome with standardized protocols and new statistical frameworks.
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Affiliation(s)
- Narges Baluch
- Department of Pediatrics, Queen's University, Kingston, Ontario, Canada
| | - Mallory Gallant
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, Ontario, Canada; Allergy Research Unit, Kingston Health Sciences Centre, Kingston General Hospital Site, Kingston, Ontario, Canada
| | - Anne K Ellis
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, Ontario, Canada; Allergy Research Unit, Kingston Health Sciences Centre, Kingston General Hospital Site, Kingston, Ontario, Canada; Division of Allergy & Immunology, Department of Medicine, Queen's University, Kingston, Ontario, Canada.
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182
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Patterns and Variability of Endocrine-disrupting Chemicals During Pregnancy: Implications for Understanding the Exposome of Normal Pregnancy. Epidemiology 2020; 30 Suppl 2:S65-S75. [PMID: 31569155 DOI: 10.1097/ede.0000000000001082] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
BACKGROUND The exposome is a novel research paradigm offering promise for understanding the complexity of human exposures, including endocrine-disrupting chemicals (EDCs) and pregnancy outcomes. The physiologically active state of pregnancy requires understanding temporal changes in EDCs to better inform the application of the exposome research paradigm and serve as the impetus for study. METHODS We randomly selected 50 healthy pregnant women with uncomplicated pregnancies from a pregnancy cohort who had available serum/urine samples in each trimester for measuring 144 persistent and 48 nonpersistent EDCs. We used unsupervised machine-learning techniques capable of handling hierarchical clustering of exposures to identify EDC patterns across pregnancy, and linear mixed-effects modeling with false-discovery rate correction to identify those that change over pregnancy trimesters. We estimated the percent variation in chemical concentrations accounted for by time (pregnancy trimester) using Akaike Information Criterion-based R methods. RESULTS Four chemical clusters comprising 80 compounds, of which six consistently increased, 63 consistently decreased, and 11 reflected inconsistent patterns over pregnancy. Overall, concentrations tended to decrease over pregnancy for persistent EDCs; a reverse pattern was seen for many nonpersistent chemicals. Explained variance was highest for five persistent chemicals: polybrominated diphenyl ethers #191 (51%) and #126 (47%), hexachlorobenzene (46%), p,p'-dichloro-diphenyl-dichloroethylene (46%), and o,p'-dichloro-diphenyl-dichloroethane (36%). CONCLUSIONS Concentrations of many EDCs are not stable across pregnancy and reflect varying patterns depending on their persistency underscoring the importance of timed biospecimen collection. Analytic techniques are available for assessing temporal patterns of EDCs during pregnancy apart from physiologic changes.
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183
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Alfano R, Chadeau-Hyam M, Ghantous A, Keski-Rahkonen P, Chatzi L, Perez AE, Herceg Z, Kogevinas M, de Kok TM, Nawrot TS, Novoloaca A, Patel CJ, Pizzi C, Robinot N, Rusconi F, Scalbert A, Sunyer J, Vermeulen R, Vrijheid M, Vineis P, Robinson O, Plusquin M. A multi-omic analysis of birthweight in newborn cord blood reveals new underlying mechanisms related to cholesterol metabolism. Metabolism 2020; 110:154292. [PMID: 32553738 PMCID: PMC7450273 DOI: 10.1016/j.metabol.2020.154292] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 06/05/2020] [Accepted: 06/11/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND Birthweight reflects in utero exposures and later health evolution. Despite existing studies employing high-dimensional molecular measurements, the understanding of underlying mechanisms of birthweight remains limited. METHODS To investigate the systems biology of birthweight, we cross-sectionally integrated the methylome, the transcriptome, the metabolome and a set of inflammatory proteins measured in cord blood samples, collected from four birth-cohorts (n = 489). We focused on two sets of 68 metabolites and 903 CpGs previously related to birthweight and investigated the correlation structures existing between these two sets and all other omic features via bipartite Pearson correlations. RESULTS This dataset revealed that the set of metabolome and methylome signatures of birthweight have seven signals in common, including three metabolites [PC(34:2), plasmalogen PC(36:4)/PC(O-36:5), and a compound with m/z of 781.0545], two CpGs (on the DHCR24 and SC4MOL gene), and two proteins (periostin and CCL22). CCL22, a macrophage-derived chemokine has not been previously identified in relation to birthweight. Since the results of the omics integration indicated the central role of cholesterol metabolism, we explored the association of cholesterol levels in cord blood with birthweight in the ENVIRONAGE cohort (n = 1097), finding that higher birthweight was associated with increased high-density lipoprotein cholesterol and that high-density lipoprotein cholesterol was lower in small versus large for gestational age newborns. CONCLUSIONS Our data suggests that an integration of different omic-layers in addition to single omics studies is a useful approach to generate new hypotheses regarding biological mechanisms. CCL22 and cholesterol metabolism in cord blood play a mechanistic role in birthweight.
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Affiliation(s)
- Rossella Alfano
- Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, United Kingdom; Medical Research Council-Health Protection Agency Centre for Environment and Health, Imperial College London, London, United Kingdom; Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Marc Chadeau-Hyam
- Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, United Kingdom; Medical Research Council-Health Protection Agency Centre for Environment and Health, Imperial College London, London, United Kingdom; Institute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology, Utrecht University, Utrecht, the Netherlands
| | - Akram Ghantous
- International Agency for Research on Cancer (IARC), 150 Cours Albert Thomas, 69008 Lyon, France
| | - Pekka Keski-Rahkonen
- International Agency for Research on Cancer (IARC), 150 Cours Albert Thomas, 69008 Lyon, France
| | - Leda Chatzi
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90007, United States; Department of Social Medicine, University of Crete, Heraklion, Crete, Greece
| | - Almudena Espin Perez
- Department of Biomedical Informatics Research, Stanford University, CA, United States
| | - Zdenko Herceg
- International Agency for Research on Cancer (IARC), 150 Cours Albert Thomas, 69008 Lyon, France
| | - Manolis Kogevinas
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain; ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain
| | - Theo M de Kok
- Department of Toxicogenomics, Maastricht University, Maastricht, the Netherlands
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium; Environment & Health Unit, Leuven University, Leuven, Belgium
| | - Alexei Novoloaca
- International Agency for Research on Cancer (IARC), 150 Cours Albert Thomas, 69008 Lyon, France
| | - Chirag J Patel
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, United States
| | - Costanza Pizzi
- Department of Medical Sciences, University of Turin and CPO-Piemonte, Torino, Italy
| | - Nivonirina Robinot
- International Agency for Research on Cancer (IARC), 150 Cours Albert Thomas, 69008 Lyon, France
| | - Franca Rusconi
- Unit of Epidemiology, Anna Meyer Children's University Hospital, Florence, Italy
| | - Augustin Scalbert
- International Agency for Research on Cancer (IARC), 150 Cours Albert Thomas, 69008 Lyon, France
| | - Jordi Sunyer
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain
| | - Roel Vermeulen
- Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, United Kingdom; Institute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology, Utrecht University, Utrecht, the Netherlands
| | - Martine Vrijheid
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain; ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain
| | - Paolo Vineis
- Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, United Kingdom; Medical Research Council-Health Protection Agency Centre for Environment and Health, Imperial College London, London, United Kingdom; Human Genetic Foundation (HuGeF), Turin, Italy
| | - Oliver Robinson
- Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, United Kingdom
| | - Michelle Plusquin
- Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, United Kingdom; Medical Research Council-Health Protection Agency Centre for Environment and Health, Imperial College London, London, United Kingdom; Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium.
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184
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Peralta GP, Abellan A, Montazeri P, Basterrechea M, Esplugues A, González-Palacios S, Roda C, Santa-Marina L, Sunyer J, Vrijheid M, Casas M, Garcia-Aymerich J. Early childhood growth is associated with lung function at 7 years: a prospective population-based study. Eur Respir J 2020; 56:13993003.00157-2020. [PMID: 32855223 DOI: 10.1183/13993003.00157-2020] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 07/23/2020] [Indexed: 11/05/2022]
Abstract
Previous studies have related early postnatal growth with later lung function but their interpretation is limited by the methods used to assess a child's growth. We aimed to assess the association of early childhood growth, measured by body mass index (BMI) trajectories up to 4 years, with lung function at 7 years.We included 1257 children from the Spanish Infancia y Medio Ambiente population-based birth cohort. Early childhood growth was classified into five categories based on BMI trajectories up to 4 years previously identified using latent class growth analysis. These trajectories differed in birth size ("lower", "average", "higher") and in BMI gain velocity ("slower", "accelerated"). We related these trajectories to lung function (forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), FEV1/FVC and forced expiratory flow at 25%-75% of FVC (FEF25-75%)) at 7 years, using multivariable mixed regression.Compared to children with average birth size and slower BMI gain (reference), children with higher birth size and accelerated BMI gain had a higher FVC % pred (3.3%, 95% CI 1.0%-5.6%) and a lower FEV1/FVC % pred (-1.5%, 95% CI -2.9%--0.1%) at 7 years. Similar associations were observed for children with lower birth size and accelerated BMI gain. Children with lower birth size and slower BMI gain had lower FVC % pred at 7 years. No association was found for FEF25-75%Independently of birth size, children with accelerated BMI gain in early childhood had higher lung function at 7 years but showed airflow limitation. Children with lower birth size and slower BMI gain in early childhood had lower lung function at 7 years.
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Affiliation(s)
- Gabriela P Peralta
- ISGlobal, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Alicia Abellan
- ISGlobal, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Parisa Montazeri
- ISGlobal, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Mikel Basterrechea
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Public Health Division of Gipuzkoa, Basque Government, San Sebastian, Spain
| | - Ana Esplugues
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I, Universitat de Valencia, Valencia, Spain.,Nursing Dept, Faculty of Nursing and Chiropody, Universitat de València, Valencia, Spain
| | - Sandra González-Palacios
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Dept of Public Health, History of Medicine and Gynecology, Miguel Hernández University and Institute for Health and Biomedical Research (ISABIAL Foundation), Alicante, Spain
| | - Célina Roda
- ISGlobal, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Université de Paris, CRESS, INSERM - HERA team (Health Environmental Risk Assessment), INRA, Paris, France
| | - Loreto Santa-Marina
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Public Health Division of Gipuzkoa, Basque Government, San Sebastian, Spain
| | - Jordi Sunyer
- ISGlobal, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Maribel Casas
- ISGlobal, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Shared last authorship
| | - Judith Garcia-Aymerich
- ISGlobal, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Shared last authorship
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185
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Vives-Usano M, Hernandez-Ferrer C, Maitre L, Ruiz-Arenas C, Andrusaityte S, Borràs E, Carracedo Á, Casas M, Chatzi L, Coen M, Estivill X, González JR, Grazuleviciene R, Gutzkow KB, Keun HC, Lau CHE, Cadiou S, Lepeule J, Mason D, Quintela I, Robinson O, Sabidó E, Santorelli G, Schwarze PE, Siskos AP, Slama R, Vafeiadi M, Martí E, Vrijheid M, Bustamante M. In utero and childhood exposure to tobacco smoke and multi-layer molecular signatures in children. BMC Med 2020; 18:243. [PMID: 32811491 PMCID: PMC7437049 DOI: 10.1186/s12916-020-01686-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Accepted: 06/29/2020] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND The adverse health effects of early life exposure to tobacco smoking have been widely reported. In spite of this, the underlying molecular mechanisms of in utero and postnatal exposure to tobacco smoke are only partially understood. Here, we aimed to identify multi-layer molecular signatures associated with exposure to tobacco smoke in these two exposure windows. METHODS We investigated the associations of maternal smoking during pregnancy and childhood secondhand smoke (SHS) exposure with molecular features measured in 1203 European children (mean age 8.1 years) from the Human Early Life Exposome (HELIX) project. Molecular features, covering 4 layers, included blood DNA methylation and gene and miRNA transcription, plasma proteins, and sera and urinary metabolites. RESULTS Maternal smoking during pregnancy was associated with DNA methylation changes at 18 loci in child blood. DNA methylation at 5 of these loci was related to expression of the nearby genes. However, the expression of these genes themselves was only weakly associated with maternal smoking. Conversely, childhood SHS was not associated with blood DNA methylation or transcription patterns, but with reduced levels of several serum metabolites and with increased plasma PAI1 (plasminogen activator inhibitor-1), a protein that inhibits fibrinolysis. Some of the in utero and childhood smoking-related molecular marks showed dose-response trends, with stronger effects with higher dose or longer duration of the exposure. CONCLUSION In this first study covering multi-layer molecular features, pregnancy and childhood exposure to tobacco smoke were associated with distinct molecular phenotypes in children. The persistent and dose-dependent changes in the methylome make CpGs good candidates to develop biomarkers of past exposure. Moreover, compared to methylation, the weak association of maternal smoking in pregnancy with gene expression suggests different reversal rates and a methylation-based memory to past exposures. Finally, certain metabolites and protein markers evidenced potential early biological effects of postnatal SHS, such as fibrinolysis.
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Affiliation(s)
- Marta Vives-Usano
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Carles Hernandez-Ferrer
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Léa Maitre
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Carlos Ruiz-Arenas
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Sandra Andrusaityte
- Department of Environmental Sciences, Vytautas Magnus University, K. Donelaicio Street 58, 44248, Kaunas, Lithuania
| | - Eva Borràs
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Ángel Carracedo
- Grupo de Medicina Xenómica, Fundación Pública Galega de Medicina Xenómica, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), SERGAS, Rúa Choupana s/n, 15706, Santiago de Compostela, Spain
- Centro de Investigación en Red de Enfermedades Raras (CIBERER) y Centro Nacional de Genotipado (CEGEN-PRB3-ISCIII), Universidade de Santiago de Compostela, Praza do Obradoiro s/n, 15782, Santiago de Compostela, Spain
| | - Maribel Casas
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 1540 Alcazar Street, Los Angeles, 90033, USA
| | - Muireann Coen
- Oncology Safety, Clinical Pharmacology and Safety Sciences, R&D Biopharmaceuticals, AstraZeneca, 1 Francis Crick Avenue, Cambridge, CB2 0RE, UK
- Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK
| | - Xavier Estivill
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Quantitative Genomics Medicine Laboratories (qGenomics), Esplugues del Llobregat, Barcelona, Catalonia, Spain
| | - Juan R González
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Regina Grazuleviciene
- Department of Environmental Sciences, Vytautas Magnus University, K. Donelaicio Street 58, 44248, Kaunas, Lithuania
| | - Kristine B Gutzkow
- Department af Environmental Health, Norwegian Institute of Public Health, Lovisenberggt 6, 0456, Oslo, Norway
| | - Hector C Keun
- Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK
- Cancer Metabolism and Systems Toxicology Group, Division of Cancer, Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital Campus, London, W12 0NN, UK
| | - Chung-Ho E Lau
- Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK
| | - Solène Cadiou
- University Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, IAB, 38000, Grenoble, France
| | - Johanna Lepeule
- University Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, IAB, 38000, Grenoble, France
| | - Dan Mason
- Bradford Institute for Health Research, Bradford Royal Infirmary, Bradford, BD9 6RJ, UK
| | - Inés Quintela
- Grupo de Medicina Xenómica, Centro Nacional de Genotipado (CEGEN-PRB3-ISCIII), Universidade de Santiago de Compostela, Praza do Obradoiro s/n, 15782, Santiago de Compostela, Spain
| | - Oliver Robinson
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, St. Mary's Hospital Campus, London, W21PG, UK
| | - Eduard Sabidó
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Gillian Santorelli
- Bradford Institute for Health Research, Bradford Royal Infirmary, Bradford, BD9 6RJ, UK
| | - Per E Schwarze
- Department af Environmental Health, Norwegian Institute of Public Health, Lovisenberggt 6, 0456, Oslo, Norway
| | - Alexandros P Siskos
- Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK
- Cancer Metabolism and Systems Toxicology Group, Division of Cancer, Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital Campus, London, W12 0NN, UK
| | - Rémy Slama
- University Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, IAB, 38000, Grenoble, France
| | - Marina Vafeiadi
- Department of Social Medicine, School of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Eulàlia Martí
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Departament de Biomedicina, Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Mariona Bustamante
- ISGlobal, Barcelona, Spain.
- Universitat Pompeu Fabra (UPF), Barcelona, Spain.
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
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186
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Association of placental concentrations of phenolic endocrine disrupting chemicals with cognitive functioning in preschool children from the Environment and Childhood (INMA) Project. Int J Hyg Environ Health 2020; 230:113597. [PMID: 32795877 DOI: 10.1016/j.ijheh.2020.113597] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2020] [Accepted: 07/24/2020] [Indexed: 11/23/2022]
Abstract
Developmental exposure to bisphenol A (BPA) and other phenolic endocrine disrupting chemicals (EDCs) may affect child neurodevelopment, but data on the effects of prenatal exposure to phenols on cognitive function remain sparse. Our aim was to examine the association of placental concentrations of several phenolic EDCs, including BPA, parabens (PBs), and benzophenones (BzPs), with cognitive development in preschool children from the Environment and Childhood (INMA) Project in Spain. Concentrations of BPA, four PBs (methylparaben [MePB], ethylparaben [EtPB], propylparaben [PrPB], and butylparaben [BuPB]), and six BzPs (BzP-1, BzP-2, BzP-3, BzP-6, BzP-8, and 4-hydroxybenzophenone [4-OH-BzP]) were measured in 490 placenta samples randomly selected from five INMA cohorts collected between 2000 and 2008. Neuropsychological assessment of cognitive and motor function was performed with the McCarthy Scales of Children's Abilities (MSCA) at the age of 4-5 years. Associations were assessed in a sub-sample of 191 mother-child pairs using linear and logistic regression models adjusted for confounding factors. PB compounds were detected in more than 71% of placentas, BPA in 62%, 4-OH-BzP in 50%, and the remaining BzPs in <9% of the samples. Because of the low detection frequency of BzP compounds, only 4-OH-BzP was included in the exposure-outcome analyses. After adjustment for confounders, BPA was associated with greater odds of scoring lower (below the 20th percentile) in the verbal (third vs. first exposure tertile: odds ratio [OR] = 2.78, 95% confidence interval [CI] = 1.00; 5.81, p-trend = 0.05) and gross motor (detected vs. undetected: OR = 1.75, 95%CI = 1.06; 9.29) areas, and these associations were only significant for boys. Regarding PB compounds, PrPB was associated with lower scores in memory (detected vs. undetected: β = -4.96, 95%CI = -9.54; -0.31), span memory (OR = 2.50, 95%CI = 0.95; 6.92 and 2.71, 95%CI = 0.97; 6.64, respectively for second and third tertiles, p-trend = 0.03), and motor function (β = -5.15, 95%CI = -9.26; -0.01 for third vs. first exposure tertile, p-trend = 0.04). EtPB and total PBs concentrations in the second tertile were also associated with poorer visual function of posterior cortex and worse quantitative performance, respectively, but linear trends were not statistically significant. The associations of BPA and PrPB with poorer verbal, memory, and motor skills are novel observations that warrant further attention. Larger prospective studies are required to confirm whether prenatal exposure to BPA and other phenolic EDCs is associated with impaired cognitive development.
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187
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Torres Toda M, Anabitarte Riol A, Cirach M, Estarlich M, Fernández-Somoano A, González-Safont L, Guxens M, Julvez J, Riaño-Galán I, Sunyer J, Dadvand P. Residential Surrounding Greenspace and Mental Health in Three Spanish Areas. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E5670. [PMID: 32764502 PMCID: PMC7460179 DOI: 10.3390/ijerph17165670] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 07/30/2020] [Accepted: 08/03/2020] [Indexed: 12/19/2022]
Abstract
Exposure to greenspace has been related to improved mental health, but the available evidence is limited and findings are heterogeneous across different areas. We aimed to evaluate the associations between residential exposure to greenspace and specific psychopathological and psychosomatic symptoms related to mental health among mothers from a Spanish birth cohort. Our study was based on data from 1171 women participating in two follow-ups of a population-based cohort in Valencia, Sabadell, and Gipuzkoa (2004-2012). For each participant, residential surrounding greenspace was estimated as the average of the satellite-based Normalized Difference Vegetation Index (NDVI) across different buffers around the residential address at the time of delivery and at the 4-year follow-up. The Symptom Checklist 90 Revised (SCL-90-R) was applied to characterize mental health at the 4-year follow-up. We developed mixed-effects logistic regression models controlled for relevant covariates to evaluate the associations. Higher residential surrounding greenspace was associated with a lower risk of somatization and anxiety symptoms. For General Severity Index (GSI), obsessive-compulsive, interpersonal sensitivity, depression, hostility, phobic anxiety, paranoid ideation, and psychoticism symptoms, we generally observed protective associations, but none attained statistical significance. Findings from this study suggested a potential positive impactof greenspace on mental health.
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Affiliation(s)
- Maria Torres Toda
- Barcelona Institute for Global Health (ISGlobal), 08003 Barcelona, Spain; (M.T.T.); (M.C.); (M.G.); (J.J.); (J.S.)
- Campus del Mar, Pompeu Fabra University (UPF), 08003 Barcelona, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain; (M.E.); (A.F.-S.); (L.G.-S.); (I.R.-G.)
| | - Asier Anabitarte Riol
- Biodonostia Health Research Institute, Environmental Epidemiology and Child Development Group, 20014 San Sebastian, Spain;
- University of the Basque Country (UPV/EHU), Preventative Medicine and Public Health Department, Faculty of Medicine, 48940 Leioa, Spain
| | - Marta Cirach
- Barcelona Institute for Global Health (ISGlobal), 08003 Barcelona, Spain; (M.T.T.); (M.C.); (M.G.); (J.J.); (J.S.)
- Campus del Mar, Pompeu Fabra University (UPF), 08003 Barcelona, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain; (M.E.); (A.F.-S.); (L.G.-S.); (I.R.-G.)
| | - Marisa Estarlich
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain; (M.E.); (A.F.-S.); (L.G.-S.); (I.R.-G.)
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, 46010 Valencia, Spain
- Department of Infirmary and Chiropody, Universitat de València, 46010 Valencia, Spain
| | - Ana Fernández-Somoano
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain; (M.E.); (A.F.-S.); (L.G.-S.); (I.R.-G.)
- Unit of Molecular Cancer Epidemiology, University Institute of Oncology of the Principality of Asturias (IUOPA) – Department of Medicine, University of Oviedo, 33006 Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), 33011 Oviedo, Spain
| | - Llúcia González-Safont
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain; (M.E.); (A.F.-S.); (L.G.-S.); (I.R.-G.)
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, 46010 Valencia, Spain
| | - Mònica Guxens
- Barcelona Institute for Global Health (ISGlobal), 08003 Barcelona, Spain; (M.T.T.); (M.C.); (M.G.); (J.J.); (J.S.)
- Campus del Mar, Pompeu Fabra University (UPF), 08003 Barcelona, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain; (M.E.); (A.F.-S.); (L.G.-S.); (I.R.-G.)
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre–Sophia Children’s Hospital, 3015 Rotterdam, The Netherlands
| | - Jordi Julvez
- Barcelona Institute for Global Health (ISGlobal), 08003 Barcelona, Spain; (M.T.T.); (M.C.); (M.G.); (J.J.); (J.S.)
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain; (M.E.); (A.F.-S.); (L.G.-S.); (I.R.-G.)
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari Sant Joan de Reus, 43204 Reus, Spain
| | - Isolina Riaño-Galán
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain; (M.E.); (A.F.-S.); (L.G.-S.); (I.R.-G.)
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), 33011 Oviedo, Spain
- Servicio de Pediatría. Endocrinología, Hospital Universitario Central de Asturias (HUCA), 33011 Oviedo, Spain
| | - Jordi Sunyer
- Barcelona Institute for Global Health (ISGlobal), 08003 Barcelona, Spain; (M.T.T.); (M.C.); (M.G.); (J.J.); (J.S.)
- Campus del Mar, Pompeu Fabra University (UPF), 08003 Barcelona, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain; (M.E.); (A.F.-S.); (L.G.-S.); (I.R.-G.)
- Municipal Institute of Medical Research (IMIM-Hospital del Mar), 08003 Barcelona, Spain
| | - Payam Dadvand
- Barcelona Institute for Global Health (ISGlobal), 08003 Barcelona, Spain; (M.T.T.); (M.C.); (M.G.); (J.J.); (J.S.)
- Campus del Mar, Pompeu Fabra University (UPF), 08003 Barcelona, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain; (M.E.); (A.F.-S.); (L.G.-S.); (I.R.-G.)
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188
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O’Connor G, Julvez J, Fernandez-Barrés S, Navarrete-Muñoz EM, Murcia M, Tardón A, Galán IR, Amiano P, Ibarluzea J, Garcia-Esteban R, Vrijheid M, Sunyer J, Romaguera D. Association of Lifestyle Factors and Neuropsychological Development of 4-Year-Old Children. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E5668. [PMID: 32764493 PMCID: PMC7459714 DOI: 10.3390/ijerph17165668] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 07/21/2020] [Accepted: 07/31/2020] [Indexed: 11/17/2022]
Abstract
BACKGROUND We aimed to assess how lifestyle factors such as diet, sleep, screen viewing, and physical activity, individually, as well as in a combined score, were associated with neuropsychological development in pre-school age children. METHODS We conducted a cross-sectional study in 1650 children of 4 years of age, from the Environment and Childhood Project (INMA) population-based birth cohorts in four regions of Spain. Children were classified per a childhood healthy lifestyle score (CHLS) with a range of 0 to 4 that included eating in concordance with the Mediterranean diet (1 point); reaching recommended sleep time (1 point); watching a maximum recommended screen time (1 point); and being physically active (1 point). The McCarthy Scales of Children's Abilities (MSCA) were used to test neuropsychological development. Multi-adjusted linear regression models were created to assess the association with the lifestyle factors individually and as a combined score. RESULTS CHLS was not associated with MSCA general cognitive score (1-point increment = -0.5, 95% CI: -1.2, 0.2). Analyzed by separate lifestyle factors, physical activity had a significant negative association with MSCA score and less TV/screen time had a negative association with MSCA score. CONCLUSION In this cross-sectional study, a combined score of lifestyle factors is not related to neuropsychological development at pre-school age.
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Affiliation(s)
- Giselle O’Connor
- ISGlobal, Instituto de Salud Global de Barcelona-Campus MAR, 08003 Barcelona, Spain; (G.O.); (S.F.-B.); (R.G.-E.); (M.V.); (J.S.); (D.R.)
| | - Jordi Julvez
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari Sant Joan de Reus, 43204 Reus, Spain
| | - Silvia Fernandez-Barrés
- ISGlobal, Instituto de Salud Global de Barcelona-Campus MAR, 08003 Barcelona, Spain; (G.O.); (S.F.-B.); (R.G.-E.); (M.V.); (J.S.); (D.R.)
| | - Eva Mᵃ Navarrete-Muñoz
- Centro de Investigacion Biomedica en Red Epidemiologia y Salud Pública (CIBERESP), 28029 Madrid, Spain; (E.M.N.-M.); (M.M.); (A.T.); (I.R.G.); (J.I.)
- Nutritional Epidemiology Unit Department of Public Health, History of Medicine and Gynecology, Universidad Miguel Hernández, 03550 Alicante, Spain
- Grupo de Investigación en Terapia Ocupacional (InTeO), Miguel Hernández University, 03550 Alicante, Spain
| | - Mario Murcia
- Centro de Investigacion Biomedica en Red Epidemiologia y Salud Pública (CIBERESP), 28029 Madrid, Spain; (E.M.N.-M.); (M.M.); (A.T.); (I.R.G.); (J.I.)
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, 08034 Valencia, Spain
| | - Adonina Tardón
- Centro de Investigacion Biomedica en Red Epidemiologia y Salud Pública (CIBERESP), 28029 Madrid, Spain; (E.M.N.-M.); (M.M.); (A.T.); (I.R.G.); (J.I.)
- Department of Medicine, University of Oviedo, 33003 Oviedo, Spain
| | - Isolina Riaño Galán
- Centro de Investigacion Biomedica en Red Epidemiologia y Salud Pública (CIBERESP), 28029 Madrid, Spain; (E.M.N.-M.); (M.M.); (A.T.); (I.R.G.); (J.I.)
- Hospital Universitario Central de Asturias, 33003 Oviedo, Spain
| | - Pilar Amiano
- Public Health Division of Gipuzkoa, BioDonostia Health Research Institute, 20014 San Sebastian, Spain;
| | - Jesús Ibarluzea
- Centro de Investigacion Biomedica en Red Epidemiologia y Salud Pública (CIBERESP), 28029 Madrid, Spain; (E.M.N.-M.); (M.M.); (A.T.); (I.R.G.); (J.I.)
- Public Health Division of Gipuzkoa, BioDonostia Health Research Institute, 20014 San Sebastian, Spain;
- Faculty of Psychology, University of the Basque Country (UPV/EHU), 20014 San Sebastian, Spain
| | - Raquel Garcia-Esteban
- ISGlobal, Instituto de Salud Global de Barcelona-Campus MAR, 08003 Barcelona, Spain; (G.O.); (S.F.-B.); (R.G.-E.); (M.V.); (J.S.); (D.R.)
- Centro de Investigacion Biomedica en Red Epidemiologia y Salud Pública (CIBERESP), 28029 Madrid, Spain; (E.M.N.-M.); (M.M.); (A.T.); (I.R.G.); (J.I.)
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain
| | - Martine Vrijheid
- ISGlobal, Instituto de Salud Global de Barcelona-Campus MAR, 08003 Barcelona, Spain; (G.O.); (S.F.-B.); (R.G.-E.); (M.V.); (J.S.); (D.R.)
- Centro de Investigacion Biomedica en Red Epidemiologia y Salud Pública (CIBERESP), 28029 Madrid, Spain; (E.M.N.-M.); (M.M.); (A.T.); (I.R.G.); (J.I.)
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain
| | - Jordi Sunyer
- ISGlobal, Instituto de Salud Global de Barcelona-Campus MAR, 08003 Barcelona, Spain; (G.O.); (S.F.-B.); (R.G.-E.); (M.V.); (J.S.); (D.R.)
- Centro de Investigacion Biomedica en Red Epidemiologia y Salud Pública (CIBERESP), 28029 Madrid, Spain; (E.M.N.-M.); (M.M.); (A.T.); (I.R.G.); (J.I.)
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain
| | - Dora Romaguera
- ISGlobal, Instituto de Salud Global de Barcelona-Campus MAR, 08003 Barcelona, Spain; (G.O.); (S.F.-B.); (R.G.-E.); (M.V.); (J.S.); (D.R.)
- Institut D’Investigació Sanitària Illes Balears (IdISBa), 07010 Palma de Mallorca, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), 28029 Madrid, Spain
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189
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Jaddoe VWV, Felix JF, Andersen AMN, Charles MA, Chatzi L, Corpeleijn E, Donner N, Elhakeem A, Eriksson JG, Foong R, Grote V, Haakma S, Hanson M, Harris JR, Heude B, Huang RC, Inskip H, Järvelin MR, Koletzko B, Lawlor DA, Lindeboom M, McEachan RRC, Mikkola TM, Nader JLT, de Moira AP, Pizzi C, Richiardi L, Sebert S, Schwalber A, Sunyer J, Swertz MA, Vafeiadi M, Vrijheid M, Wright J, Duijts L. The LifeCycle Project-EU Child Cohort Network: a federated analysis infrastructure and harmonized data of more than 250,000 children and parents. Eur J Epidemiol 2020; 35:709-724. [PMID: 32705500 PMCID: PMC7387322 DOI: 10.1007/s10654-020-00662-z] [Citation(s) in RCA: 71] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Accepted: 07/04/2020] [Indexed: 12/15/2022]
Abstract
Early life is an important window of opportunity to improve health across the full lifecycle. An accumulating body of evidence suggests that exposure to adverse stressors during early life leads to developmental adaptations, which subsequently affect disease risk in later life. Also, geographical, socio-economic, and ethnic differences are related to health inequalities from early life onwards. To address these important public health challenges, many European pregnancy and childhood cohorts have been established over the last 30 years. The enormous wealth of data of these cohorts has led to important new biological insights and important impact for health from early life onwards. The impact of these cohorts and their data could be further increased by combining data from different cohorts. Combining data will lead to the possibility of identifying smaller effect estimates, and the opportunity to better identify risk groups and risk factors leading to disease across the lifecycle across countries. Also, it enables research on better causal understanding and modelling of life course health trajectories. The EU Child Cohort Network, established by the Horizon2020-funded LifeCycle Project, brings together nineteen pregnancy and childhood cohorts, together including more than 250,000 children and their parents. A large set of variables has been harmonised and standardized across these cohorts. The harmonized data are kept within each institution and can be accessed by external researchers through a shared federated data analysis platform using the R-based platform DataSHIELD, which takes relevant national and international data regulations into account. The EU Child Cohort Network has an open character. All protocols for data harmonization and setting up the data analysis platform are available online. The EU Child Cohort Network creates great opportunities for researchers to use data from different cohorts, during and beyond the LifeCycle Project duration. It also provides a novel model for collaborative research in large research infrastructures with individual-level data. The LifeCycle Project will translate results from research using the EU Child Cohort Network into recommendations for targeted prevention strategies to improve health trajectories for current and future generations by optimizing their earliest phases of life.
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Affiliation(s)
- Vincent W V Jaddoe
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, The Generation R Study Group, (Na 29-18), PO Box 2040, 3000 CA, Rotterdam, The Netherlands. .,Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
| | - Janine F Felix
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, The Generation R Study Group, (Na 29-18), PO Box 2040, 3000 CA, Rotterdam, The Netherlands.,Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Anne-Marie Nybo Andersen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Marie-Aline Charles
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, Paris, France.,ELFE Joint Unit, French Institute for Demographic Studies (Ined), French Institute for Medical Research and Health (INSERM), French Blood Agency, Aubervilliers, France
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Eva Corpeleijn
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Nina Donner
- Concentris Research Management GmbH, Fürstenfeldbruck, Germany
| | - Ahmed Elhakeem
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Johan G Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Folkhälsan Research Center, Helsinki, Finland.,Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore.,Singapore Institute for Clinical Sciences (SICS), Agency for Science and Technology (A*STAR), Singapore, Singapore
| | - Rachel Foong
- Telethon Kids Institute, Perth, WA, Australia.,School of Physiotherapy and Exercise Science, Curtin University, Perth, WA, Australia
| | - Veit Grote
- Department of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital, LMU, Munich, Germany
| | - Sido Haakma
- University of Groningen, University Medical Center Groningen, Genomics Coordination Center, Groningen, The Netherlands
| | - Mark Hanson
- Institute of Developmental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Jennifer R Harris
- Centre for Fertility and Health, The Norwegian Institute of Public Health, Oslo, Norway.,Division of Health Data and Digitalization, Norwegian Institute of Public Health, Oslo, Norway
| | - Barbara Heude
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, Paris, France
| | | | - Hazel Inskip
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.,MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Marjo-Riitta Järvelin
- Center for Life-Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland.,Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.,Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK.,Unit of Primary Health Care, Oulu University Hospital, OYS, Oulu, Finland
| | - Berthold Koletzko
- Department of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital, LMU, Munich, Germany
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.,NIHR Bristol Biomedical Research Centre, Bristol, UK
| | - Maarten Lindeboom
- Department of Economics, VU University Amsterdam, Amsterdam, The Netherlands
| | - Rosemary R C McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | | | - Johanna L T Nader
- Department of Genetics and Bioinformatics, Division of Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway
| | - Angela Pinot de Moira
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Costanza Pizzi
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Lorenzo Richiardi
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Sylvain Sebert
- Center for Life-Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Ameli Schwalber
- Concentris Research Management GmbH, Fürstenfeldbruck, Germany
| | - Jordi Sunyer
- ISGlobal, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Morris A Swertz
- University of Groningen, University Medical Center Groningen, Genomics Coordination Center, Groningen, The Netherlands.,Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Liesbeth Duijts
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, The Generation R Study Group, (Na 29-18), PO Box 2040, 3000 CA, Rotterdam, The Netherlands.,Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
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190
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Notario-Barandiaran L, Freire C, García-de-la-Hera M, Compañ-Gabucio LM, Torres-Collado L, González-Palacios S, Mundo A, Molina M, Fernández MF, Vioque J. Reproducibility and Validity of a Food Frequency Questionnaire for Dietary Assessment in Adolescents in a Self-Reported Way. Nutrients 2020; 12:nu12072081. [PMID: 32674463 PMCID: PMC7400888 DOI: 10.3390/nu12072081] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 07/05/2020] [Accepted: 07/12/2020] [Indexed: 12/23/2022] Open
Abstract
Tools to assess diet in a reliable and efficient way are needed, particularly in children and adolescents. In this study, we assess the reproducibility and validity of a semiquantitative food frequency questionnaire (FFQ) among adolescents in Spain. We analyzed data of 51 male adolescents aged 15-17 years from a prospective birth cohort study. Participants answered the FFQ twice in a self-administered way over a 12-month period. Reproducibility was assessed by comparing nutrient and food intakes from the FFQs, and validity by comparing nutrient intakes from the average of two FFQs and the average of two 24-Hour Dietary Recalls obtained in the period. Pearson correlation coefficients were calculated. The average of reproducibility correlation coefficients for food group intakes was 0.33, with the highest correlation for vegetable intake (r = 0.81); and the average for nutrient intake was 0.32, with the highest coefficients for α- and β-carotene (r = 0.65). Validity correlation coefficients ranged from 0.07 for carbohydrates to 0.53 for dietary fiber. The average of the validity correlation coefficients was r = 0.32. This study suggests that our FFQ may be a useful tool for assessing dietary intake of most nutrient and food groups among Spanish male adolescents in a self-administered way, despite reproducibility and, particularly validity, being low for some nutrients and food groups.
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Affiliation(s)
- Leyre Notario-Barandiaran
- Alicante Institute for Health and Biomedical Research, ISABIAL-UMH, 03010-Alicante, Spain; (L.N.-B.); (M.G.-d.-l.-H.); (L.M.C.-G.); (L.T.-C.); (S.G.-P.)
| | - Carmen Freire
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28009 Madrid, Spain; (C.F.); (M.F.F.)
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012 Granada, Spain; (A.M.); (M.M.)
| | - Manuela García-de-la-Hera
- Alicante Institute for Health and Biomedical Research, ISABIAL-UMH, 03010-Alicante, Spain; (L.N.-B.); (M.G.-d.-l.-H.); (L.M.C.-G.); (L.T.-C.); (S.G.-P.)
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28009 Madrid, Spain; (C.F.); (M.F.F.)
| | - Laura Mª Compañ-Gabucio
- Alicante Institute for Health and Biomedical Research, ISABIAL-UMH, 03010-Alicante, Spain; (L.N.-B.); (M.G.-d.-l.-H.); (L.M.C.-G.); (L.T.-C.); (S.G.-P.)
| | - Laura Torres-Collado
- Alicante Institute for Health and Biomedical Research, ISABIAL-UMH, 03010-Alicante, Spain; (L.N.-B.); (M.G.-d.-l.-H.); (L.M.C.-G.); (L.T.-C.); (S.G.-P.)
| | - Sandra González-Palacios
- Alicante Institute for Health and Biomedical Research, ISABIAL-UMH, 03010-Alicante, Spain; (L.N.-B.); (M.G.-d.-l.-H.); (L.M.C.-G.); (L.T.-C.); (S.G.-P.)
| | - Antonio Mundo
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012 Granada, Spain; (A.M.); (M.M.)
| | - Marina Molina
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012 Granada, Spain; (A.M.); (M.M.)
| | - Mariana F. Fernández
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28009 Madrid, Spain; (C.F.); (M.F.F.)
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012 Granada, Spain; (A.M.); (M.M.)
- Department of Radiology, School of Medicine, and Center for Biomedical Research, University of Granada, 18071 Granada, Spain
| | - Jesús Vioque
- Alicante Institute for Health and Biomedical Research, ISABIAL-UMH, 03010-Alicante, Spain; (L.N.-B.); (M.G.-d.-l.-H.); (L.M.C.-G.); (L.T.-C.); (S.G.-P.)
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28009 Madrid, Spain; (C.F.); (M.F.F.)
- Correspondence: ; Tel.: +34-965-919-517
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191
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Agier L, Slama R, Basagaña X. Relying on repeated biospecimens to reduce the effects of classical-type exposure measurement error in studies linking the exposome to health. ENVIRONMENTAL RESEARCH 2020; 186:109492. [PMID: 32330767 DOI: 10.1016/j.envres.2020.109492] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Revised: 03/11/2020] [Accepted: 04/04/2020] [Indexed: 05/27/2023]
Abstract
The exposome calls for assessing numerous exposures, typically using biomarkers with varying amounts of measurement error, which can be assumed to be of classical type. We evaluated the impact of classical-type measurement error on the performance of exposome-health studies, and the efficiency of two measurement error correction methods relying on the collection of repeated biospecimens: within-subject biospecimens pooling and regression calibration. In a simulation study, we generated 237 exposures from a realistic correlation matrix, with various amounts of classical-type measurement error, and a continuous health outcome linearly influenced by exposures. Measurement error decreased the sensitivity to identify exposures influencing health from a value of 75% down to 46%, increased false discovery proportion from 26% to 49% and increased attenuation bias in the slope of true predictors from 45% to 66%. Assuming that repeated biospecimens were available, within-subject pooling and regression calibration improved sensitivity (which increased to 63%), false discovery proportion (down to 37%) and bias (down to 49%) compared to an error-prone study with a single biospecimen per subject. Performances were poorer for the exposures with the largest amount of measurement error, and increased with the number of available biospecimens. Relying on repeated biospecimens only for the exposures with the largest amount of measurement error provided similar performance improvement. Exposome studies relying on spot exposure biospecimens suffer from decreased performances if some biomarkers suffer from measurement error due to their temporal variability; performances can be improved by collecting repeated biospecimens per subject, in particular for non persistent chemicals.
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Affiliation(s)
- Lydiane Agier
- Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Inserm, CNRS, University Grenoble Alpes, Institute for Advanced Biosciences (IAB), U1209 Joint Research Center, Grenoble, France.
| | - Rémy Slama
- Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Inserm, CNRS, University Grenoble Alpes, Institute for Advanced Biosciences (IAB), U1209 Joint Research Center, Grenoble, France.
| | - Xavier Basagaña
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
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192
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Testing the Multiple Pathways of Residential Greenness to Pregnancy Outcomes Model in a Sample of Pregnant Women in the Metropolitan Area of Donostia-San Sebastián. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17124520. [PMID: 32586011 PMCID: PMC7345127 DOI: 10.3390/ijerph17124520] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 06/18/2020] [Accepted: 06/19/2020] [Indexed: 12/16/2022]
Abstract
Residential greenness may positively impact diverse human health indicators through the reduction of air pollution, the improvement of psychological health, and the promotion of physical activity. Previous studies indicate a weak but positive association with pregnancy outcomes. Our aim was to test the multiple pathways from residential greenness to pregnancy outcomes model, using residential NO2 concentrations, psychological health, and moderate-to-vigorous physical activity (MVPA) during the first trimester of pregnancy, in a sample of 440 pregnant women residing in Donostia, Spain. Three metrics of residential greenness were calculated around each participant’s home address: normalized difference vegetation index (NDVI) within 300 m, and green space (>5000 m2) availability within 300 and 500 m. Residential NO2 concentrations, psychological health, and MVPA were explored as mediators of the associations between these metrics and the following pregnancy outcomes: birth weight (BW), low birth weight (LBW), prematurity, small for gestational age (SGA), and large for gestational age (LGA). Educational attainment, parity, and body mass index (BMI) were treated as covariates. Counterfactual mediation analyses showed very low to null statistical support for an association between any of the greenspace metrics and pregnancy outcomes in the full sample. Green space availability (300 m) was associated with lower BW and showed a marginal protective effect against LGA.
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193
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Risk and Protective Factors for Bullying at 11 Years of Age in a Spanish Birth Cohort Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17124428. [PMID: 32575610 PMCID: PMC7345051 DOI: 10.3390/ijerph17124428] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 06/16/2020] [Accepted: 06/16/2020] [Indexed: 11/17/2022]
Abstract
(1) Background: Bullying affects a large number of children worldwide. This study has two objectives, to provide data on the prevalence of bullying in Spain, and to identify risk and protective factors associated with bullying. (2) Methods: Participants were 858 eleven-year-old children. Bullying was assessed using a short version of the Olweus Bully Victim Questionnaire, and the following data were gathered to explore potential predictors: individual (inattention, behavior problems, attention deficit hyperactivity disorder symptomatology, traumatic life events), family-related (sociodemographic characteristics, family context, child-parent relations), school-related (school characteristics, peer and social support, school environment) and community-related data. (3) Results: 9.3% of the children were victims, 1.4% bullies and 1.6% bully-victims. Results showed that a higher level of attention deficit hyperactivity disorder symptomatology increased the risk of victimization, whereas having better relationships with parents and stronger social support were associated with a lower risk of victimization. Children having strong peer relationships and social support was also associated with less risk of perpetrating bullying. Finally, having behavior problems at 8 years of age was associated with being a bully-victim. (4) Conclusions: The findings emphasize the importance of studying all bullying predictors together, regarding three of the roles children may take in bullying situations.
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194
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Vrijheid M, Fossati S, Maitre L, Márquez S, Roumeliotaki T, Agier L, Andrusaityte S, Cadiou S, Casas M, de Castro M, Dedele A, Donaire-Gonzalez D, Grazuleviciene R, Haug LS, McEachan R, Meltzer HM, Papadopouplou E, Robinson O, Sakhi AK, Siroux V, Sunyer J, Schwarze PE, Tamayo-Uria I, Urquiza J, Vafeiadi M, Valentin A, Warembourg C, Wright J, Nieuwenhuijsen MJ, Thomsen C, Basagaña X, Slama R, Chatzi L. Early-Life Environmental Exposures and Childhood Obesity: An Exposome-Wide Approach. ENVIRONMENTAL HEALTH PERSPECTIVES 2020; 128:67009. [PMID: 32579081 PMCID: PMC7313401 DOI: 10.1289/ehp5975] [Citation(s) in RCA: 126] [Impact Index Per Article: 31.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 05/14/2020] [Accepted: 05/21/2020] [Indexed: 05/20/2023]
Abstract
BACKGROUND Chemical and nonchemical environmental exposures are increasingly suspected to influence the development of obesity, especially during early life, but studies mostly consider single exposure groups. OBJECTIVES Our study aimed to systematically assess the association between a wide array of early-life environmental exposures and childhood obesity, using an exposome-wide approach. METHODS The HELIX (Human Early Life Exposome) study measured child body mass index (BMI), waist circumference, skinfold thickness, and body fat mass in 1,301 children from six European birth cohorts age 6-11 y. We estimated 77 prenatal exposures and 96 childhood exposures (cross-sectionally), including indoor and outdoor air pollutants, built environment, green spaces, tobacco smoking, and biomarkers of chemical pollutants (persistent organic pollutants, metals, phthalates, phenols, and pesticides). We used an exposure-wide association study (ExWAS) to screen all exposure-outcome associations independently and used the deletion-substitution-addition (DSA) variable selection algorithm to build a final multiexposure model. RESULTS The prevalence of overweight and obesity combined was 28.8%. Maternal smoking was the only prenatal exposure variable associated with higher child BMI (z-score increase of 0.28, 95% confidence interval: 0.09, 0.48, for active vs. no smoking). For childhood exposures, the multiexposure model identified particulate and nitrogen dioxide air pollution inside the home, urine cotinine levels indicative of secondhand smoke exposure, and residence in more densely populated areas and in areas with fewer facilities to be associated with increased child BMI. Child blood levels of copper and cesium were associated with higher BMI, and levels of organochlorine pollutants, cobalt, and molybdenum were associated with lower BMI. Similar results were found for the other adiposity outcomes. DISCUSSION This first comprehensive and systematic analysis of many suspected environmental obesogens strengthens evidence for an association of smoking, air pollution exposure, and characteristics of the built environment with childhood obesity risk. Cross-sectional biomarker results may suffer from reverse causality bias, whereby obesity status influenced the biomarker concentration. https://doi.org/10.1289/EHP5975.
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Affiliation(s)
- Martine Vrijheid
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Serena Fossati
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Léa Maitre
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Sandra Márquez
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Theano Roumeliotaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Lydiane Agier
- Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, INSERM, CNRS, University Grenoble Alpes, Institute for Advanced Biosciences (IAB), U1209 Joint Research Center, Grenoble, France
| | - Sandra Andrusaityte
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - Solène Cadiou
- Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, INSERM, CNRS, University Grenoble Alpes, Institute for Advanced Biosciences (IAB), U1209 Joint Research Center, Grenoble, France
| | - Maribel Casas
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Montserrat de Castro
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Audrius Dedele
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - David Donaire-Gonzalez
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | | | - Line S Haug
- Norwegian Institute of Public Health, Oslo, Norway
| | - Rosemary McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | | | | | - Oliver Robinson
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | | | - Valerie Siroux
- Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, INSERM, CNRS, University Grenoble Alpes, Institute for Advanced Biosciences (IAB), U1209 Joint Research Center, Grenoble, France
| | - Jordi Sunyer
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | | | - Ibon Tamayo-Uria
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
- Division of Immunology and Immunotherapy, CIMA, Universidad de Navarra, and Instituto de Investigación Sanitaria de Navarra (IdISNA), Pamplona, Spain
| | - Jose Urquiza
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Antonia Valentin
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Charline Warembourg
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Mark J Nieuwenhuijsen
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | | | - Xavier Basagaña
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Rémy Slama
- Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, INSERM, CNRS, University Grenoble Alpes, Institute for Advanced Biosciences (IAB), U1209 Joint Research Center, Grenoble, France
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
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195
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Levie D, Bath SC, Guxens M, Korevaar TIM, Dineva M, Fano E, Ibarluzea JM, Llop S, Murcia M, Rayman MP, Sunyer J, Peeters RP, Tiemeier H. Maternal Iodine Status During Pregnancy Is Not Consistently Associated with Attention-Deficit Hyperactivity Disorder or Autistic Traits in Children. J Nutr 2020; 150:1516-1528. [PMID: 32171006 PMCID: PMC7269752 DOI: 10.1093/jn/nxaa051] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Revised: 12/19/2019] [Accepted: 02/13/2020] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Severe iodine deficiency during pregnancy can cause intellectual disability, presumably through inadequate placental transfer of maternal thyroid hormone to the fetus. The association between mild-to-moderate iodine deficiency and child neurodevelopmental problems is not well understood. OBJECTIVES We investigated the association of maternal iodine status during pregnancy with child attention-deficit hyperactivity disorder (ADHD) and autistic traits. METHODS This was a collaborative study of 3 population-based birth cohorts: Generation R (n = 1634), INfancia y Medio Ambiente (n = 1293), and the Avon Longitudinal Study of Parents and Children (n = 2619). Exclusion criteria were multiple fetuses, fertility treatment, thyroid-interfering medication use, and pre-existing thyroid disease. The mean age of assessment in the cohorts was between 4.4 and 7.7 y for ADHD symptoms and 4.5 and 7.6 y for autistic traits. We studied the association of the urinary iodine-to-creatinine ratio (UI/Creat) <150 μg/g-in all mother-child pairs, and in those with a urinary-iodine measurement at ≤18 weeks and ≤14 weeks of gestation-with the risk of ADHD or a high autistic-trait score (≥93rd percentile cutoff), using logistic regression. The cohort-specific effect estimates were combined by random-effects meta-analyses. We also investigated whether UI/Creat modified the associations of maternal free thyroxine (FT4) or thyroid-stimulating hormone concentrations with ADHD or autistic traits. RESULTS UI/Creat <150 μg/g was not associated with ADHD (OR: 1.2; 95% CI: 0.7, 2.2; P = 0.56) or with a high autistic-trait score (OR: 0.8; 95% CI: 0.6, 1.1; P = 0.22). UI/Creat <150 μg/g in early pregnancy (i.e., ≤18 weeks or ≤14 weeks of gestation) was not associated with a higher risk of behavioral problems. The association between a higher FT4 and a greater risk of ADHD (OR: 1.3; 95% CI: 1.0, 1.6; P = 0.017) was not modified by iodine status. CONCLUSIONS There is no consistent evidence to support an association of mild-to-moderate iodine deficiency during pregnancy with child ADHD or autistic traits.
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Affiliation(s)
- Deborah Levie
- The Generation R Study Group, Erasmus University Medical Centre, Rotterdam, Netherlands
- Department of Internal Medicine, Academic Center For Thyroid Diseases, Erasmus University Medical Centre, Rotterdam, Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre–Sophia Children's Hospital, Rotterdam, Netherlands
- ISGlobal, Barcelona, Spain
- Department of Experimental and Health Sciences, Pompeu Fabra University, Barcelona, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Carlos III Health Institute, Madrid, Spain
| | - Sarah C Bath
- Department of Nutritional Sciences, University of Surrey, Guildford, United Kingdom
| | - Mònica Guxens
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre–Sophia Children's Hospital, Rotterdam, Netherlands
- ISGlobal, Barcelona, Spain
- Department of Experimental and Health Sciences, Pompeu Fabra University, Barcelona, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Carlos III Health Institute, Madrid, Spain
| | - Tim I M Korevaar
- The Generation R Study Group, Erasmus University Medical Centre, Rotterdam, Netherlands
- Department of Internal Medicine, Academic Center For Thyroid Diseases, Erasmus University Medical Centre, Rotterdam, Netherlands
| | - Mariana Dineva
- Department of Nutritional Sciences, University of Surrey, Guildford, United Kingdom
| | - Eduardo Fano
- BIODONOSTIA, Health Research Institute, Donostia—San Sebastián, Spain
- Faculty of Psychology, University of the Basque Country (UPV/EHU), Donostia—San Sebastián, Spain
| | - Jesús M Ibarluzea
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Carlos III Health Institute, Madrid, Spain
- BIODONOSTIA, Health Research Institute, Donostia—San Sebastián, Spain
- Faculty of Psychology, University of the Basque Country (UPV/EHU), Donostia—San Sebastián, Spain
- Basque Government Department of Health, Deputy Directorate of Public Health of Gipuzkoa, Donostia—San Sebastián, Spain
| | - Sabrina Llop
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Carlos III Health Institute, Madrid, Spain
- Epidemiology and Environmental Health Joint Research Unit, FISABIO–Jaume I University–University of València, Valencia, Spain
| | - Mario Murcia
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Carlos III Health Institute, Madrid, Spain
- Epidemiology and Environmental Health Joint Research Unit, FISABIO–Jaume I University–University of València, Valencia, Spain
| | - Margaret P Rayman
- Department of Nutritional Sciences, University of Surrey, Guildford, United Kingdom
| | - Jordi Sunyer
- ISGlobal, Barcelona, Spain
- Department of Experimental and Health Sciences, Pompeu Fabra University, Barcelona, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Carlos III Health Institute, Madrid, Spain
- Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - Robin P Peeters
- Department of Internal Medicine, Academic Center For Thyroid Diseases, Erasmus University Medical Centre, Rotterdam, Netherlands
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre–Sophia Children's Hospital, Rotterdam, Netherlands
- Department of Social and Behavioral Science, Harvard TH Chan School of Public Health, Boston, MA, USA
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196
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Forns J, Verner MA, Iszatt N, Nowack N, Bach CC, Vrijheid M, Costa O, Andiarena A, Sovcikova E, Høyer BB, Wittsiepe J, Lopez-Espinosa MJ, Ibarluzea J, Hertz-Picciotto I, Toft G, Stigum H, Guxens M, Liew Z, Eggesbø M. Early Life Exposure to Perfluoroalkyl Substances (PFAS) and ADHD: A Meta-Analysis of Nine European Population-Based Studies. ENVIRONMENTAL HEALTH PERSPECTIVES 2020; 128:57002. [PMID: 32378965 PMCID: PMC7263458 DOI: 10.1289/ehp5444] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
INTRODUCTION To date, the evidence for an association between perfluoroalkyl substances (PFAS) exposure and attention deficit and hyperactivity disorder (ADHD) is inconclusive. OBJECTIVE We investigated the association between early life exposure to perfluorooctane sulfonate (PFOS) and perfluorooctanoic acid (PFOA), and ADHD in a collaborative study including nine European population-based studies, encompassing 4,826 mother-child pairs. METHODS Concentrations of PFOS and PFOA were measured in maternal serum/plasma during pregnancy, or in breast milk, with different timing of sample collection in each cohort. We used a validated pharmacokinetic model of pregnancy and lactation to estimate concentrations of PFOS and PFOA in children at birth and at 3, 6, 12, and 24 months of age. We classified ADHD using recommended cutoff points for each instrument used to derive symptoms scores. We used multiple imputation for missing covariates, logistic regression to model the association between PFAS exposure and ADHD in each study, and combined all adjusted study-specific effect estimates using random-effects meta-analysis. RESULTS A total of 399 children were classified as having ADHD, with a prevalence ranging from 2.3% to 7.3% in the studies. Early life exposure to PFOS or PFOA was not associated with ADHD during childhood [odds ratios (ORs) ranging from 0.96 (95% CI: 0.87, 1.06) to 1.02 (95% CI: 0.93, 1.11)]. Results from stratified models suggest potential differential effects of PFAS related to child sex and maternal education. CONCLUSION We did not identify an increased prevalence of ADHD in association with early life exposure to PFOS and PFOA. However, stratified analyses suggest that there may be an increased prevalence of ADHD in association with PFAS exposure in girls, in children from nulliparous women, and in children from low-educated mothers, all of which warrant further exploration. https://doi.org/10.1289/EHP5444.
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Affiliation(s)
- Joan Forns
- Department of Environmental Exposure and Epidemiology, Norwegian Institute of Public Health, Oslo, Norway
| | - Marc-Andre Verner
- Department of Occupational and Environmental Health, School of Public Health, Université de Montréal, Montreal, Canada
- Université de Montréal Public Health Research Institute (IRSPUM), Université de Montréal, Montreal, Canada
| | - Nina Iszatt
- Department of Environmental Exposure and Epidemiology, Norwegian Institute of Public Health, Oslo, Norway
| | - Nikola Nowack
- Department of Developmental Psychology, Ruhr-University Bochum, Bochum, Germany
| | - Cathrine Carlsen Bach
- Department of Pediatrics and Adolescent Medicine, Viborg Regional Hospital, Viborg, Denmark
- Department of Pediatrics and Adolescent Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Martine Vrijheid
- Global Health Institute Barcelona (ISGlobal), Institute for Global Health, Barcelona, Spain
- Univeristat Pompeu Fabra, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Olga Costa
- Epidemiology and Environmental Health Joint Research Unit, Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO)-Universitat Jaume I-Universitat de València, Valencia, Spain
| | - Ainara Andiarena
- Health Research Institute BIODONOSTIA, Donostia-San Sebastian, Basque Country, Spain
- Faculty of Psychology, University of the Basque Country (UPV/EHU), San Sebastian, Basque Country, Spain
| | - Eva Sovcikova
- Department of Environmental Medicine, Faculty of Public Health, Slovak Medical University, Bratislava, Slovak Republic
| | - Birgit Bjerre Høyer
- Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark
| | - Jürgen Wittsiepe
- Department of Hygiene, Social and Environmental Medicine, Ruhr-University Bochum, Bochum, Germany
| | - Maria-Jose Lopez-Espinosa
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
- Epidemiology and Environmental Health Joint Research Unit, Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO)-Universitat Jaume I-Universitat de València, Valencia, Spain
- Department of Nursing and Chiropody, Universitat de València, Valencia, Spain
| | - Jesus Ibarluzea
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
- Health Research Institute BIODONOSTIA, Donostia-San Sebastian, Basque Country, Spain
- Faculty of Psychology, University of the Basque Country (UPV/EHU), San Sebastian, Basque Country, Spain
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences, School of Medicine, University of California, Davis (UC Davis), Davis, California, USA
- UC Davis Medical Investigations of Neurodevelopmental Disorders Institute, UC Davis, Davis, California, USA
| | - Gunnar Toft
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
| | - Hein Stigum
- Department of Environmental Exposure and Epidemiology, Norwegian Institute of Public Health, Oslo, Norway
| | - Mònica Guxens
- Global Health Institute Barcelona (ISGlobal), Institute for Global Health, Barcelona, Spain
- Univeristat Pompeu Fabra, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre, Sophia Children's Hospital, Rotterdam, Netherlands
| | - Zeyan Liew
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut, USA
- Yale Center for Perinatal, Pediatric, and Environmental Epidemiology, Yale School of Public Health, New Haven, Connecticut, USA
| | - Merete Eggesbø
- Department of Environmental Exposure and Epidemiology, Norwegian Institute of Public Health, Oslo, Norway
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197
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Cadiou S, Bustamante M, Agier L, Andrusaityte S, Basagaña X, Carracedo A, Chatzi L, Grazuleviciene R, Gonzalez JR, Gutzkow KB, Maitre L, Mason D, Millot F, Nieuwenhuijsen M, Papadopoulou E, Santorelli G, Saulnier PJ, Vives M, Wright J, Vrijheid M, Slama R. Using methylome data to inform exposome-health association studies: An application to the identification of environmental drivers of child body mass index. ENVIRONMENT INTERNATIONAL 2020; 138:105622. [PMID: 32179316 PMCID: PMC8713647 DOI: 10.1016/j.envint.2020.105622] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Revised: 02/27/2020] [Accepted: 02/28/2020] [Indexed: 05/19/2023]
Abstract
BACKGROUND The exposome is defined as encompassing all environmental exposures one undergoes from conception onwards. Challenges of the application of this concept to environmental-health association studies include a possibly high false-positive rate. OBJECTIVES We aimed to reduce the dimension of the exposome using information from DNA methylation as a way to more efficiently characterize the relation between exposome and child body mass index (BMI). METHODS Among 1,173 mother-child pairs from HELIX cohort, 216 exposures ("whole exposome") were characterized. BMI and DNA methylation from immune cells of peripheral blood were assessed in children at age 6-10 years. A priori reduction of the methylome to preselect BMI-relevant CpGs was performed using biological pathways. We then implemented a tailored Meet-in-the-Middle approach to identify from these CpGs candidate mediators in the exposome-BMI association, using univariate linear regression models corrected for multiple testing: this allowed to point out exposures most likely to be associated with BMI ("reduced exposome"). Associations of this reduced exposome with BMI were finally tested. The approach was compared to an agnostic exposome-wide association study (ExWAS) ignoring the methylome. RESULTS Among the 2284 preselected CpGs (0.6% of the assessed CpGs), 62 were associated with BMI. Four factors (3 postnatal and 1 prenatal) of the exposome were associated with at least one of these CpGs, among which postnatal blood level of copper and PFOS were directly associated with BMI, with respectively positive and negative estimated effects. The agnostic ExWAS identified 18 additional postnatal exposures, including many persistent pollutants, generally unexpectedly associated with decreased BMI. DISCUSSION Our approach incorporating a priori information identified fewer significant associations than an agnostic approach. We hypothesize that this smaller number corresponds to a higher specificity (and possibly lower sensitivity), compared to the agnostic approach. Indeed, the latter cannot distinguish causal relations from reverse causation, e.g. for persistent compounds stored in fat, whose circulating level is influenced by BMI.
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Affiliation(s)
- Solène Cadiou
- Team of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, Grenoble, France
| | - Mariona Bustamante
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Lydiane Agier
- Team of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, Grenoble, France
| | - Sandra Andrusaityte
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - Xavier Basagaña
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Angel Carracedo
- Fundación Pública Galega de Medicina Xenómica (SERGAS), IDIS, Santiago de Compostela, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), CIMUS, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
| | - Leda Chatzi
- Department of Preventive Medicine, University of Southern California, Los Angeles, USA
| | | | - Juan R Gonzalez
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | | | - Léa Maitre
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Dan Mason
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, United Kingdom
| | - Frédéric Millot
- CHU Poitiers, Clinical Investigation Centre, CIC 1402, Poitiers, France; Poitiers University, Clinical Investigation Centre CIC 1402, Poitiers, France
| | - Mark Nieuwenhuijsen
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | | | - Gillian Santorelli
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, United Kingdom
| | - Pierre-Jean Saulnier
- CHU Poitiers, Clinical Investigation Centre, CIC 1402, Poitiers, France; Poitiers University, Clinical Investigation Centre CIC 1402, Poitiers, France; INSERM, CIC 1402, F-86000 Poitiers, France; CHU Poitiers, Endocrinology, Diabetology, Nutrition Service, Poitiers, France
| | - Marta Vives
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, United Kingdom
| | - Martine Vrijheid
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Rémy Slama
- Team of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, Grenoble, France.
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198
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Fossati S, Valvi D, Martinez D, Cirach M, Estarlich M, Fernández-Somoano A, Guxens M, Iñiguez C, Irizar A, Lertxundi A, Nieuwenhuijsen M, Tamayo I, Vioque J, Tardón A, Sunyer J, Vrijheid M. Prenatal air pollution exposure and growth and cardio-metabolic risk in preschoolers. ENVIRONMENT INTERNATIONAL 2020; 138:105619. [PMID: 32193046 DOI: 10.1016/j.envint.2020.105619] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 01/26/2020] [Accepted: 02/27/2020] [Indexed: 05/06/2023]
Abstract
OBJECTIVES We investigated the association between outdoor air pollutants exposure in the first trimester of pregnancy, and growth and cardio-metabolic risk at four years of age, and evaluated the mediating role of birth weight. METHODS We included mother-child pairs (N = 1,724) from the Spanish INMA birth cohort established in 2003-2008. First trimester of pregnancy nitrogen dioxide (NO2) and fine particles (PM2.5) exposure levels were estimated. Height, weight, waist circumference, blood pressure, and lipids were measured at four years of age. Body mass index (BMI) trajectories from birth to four years were identified. RESULTS Increased PM2.5 exposure in the first trimester of pregnancy was associated with decreased z-scores of weight (zWeight) and BMI (zBMI) (zWeight change per interquartile range increase in PM2.5 exposure = -0.12; 95% CI: -0.23, -0.01; zBMI change = -0.12; 95% CI: -0.23, -0.01). Higher NO2 and PM2.5 exposure was associated to a reduced risk of being in a trajectory with accelerated BMI gain, compared to children with the average trajectory. Birth weight partially mediated the association between PM2.5 and zWeight and zBMI. PM2.5 and NO2 were not associated with the other cardio-metabolic risk factors. CONCLUSIONS This comprehensive study of many growth and cardio-metabolic risk related outcomes suggests that air pollution exposure during pregnancy may be associated with delays in physical growth in the early years after birth. These findings imply that pregnancy exposure to air pollutants has a lasting effect on growth after birth and require follow-up at later child ages.
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Affiliation(s)
- Serena Fossati
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.
| | - Damaskini Valvi
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - David Martinez
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Marta Cirach
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Marisa Estarlich
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Department of Nursing, Faculty of Nursing and Chiropody, University of Valencia; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, 46020, Spain
| | - Ana Fernández-Somoano
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain; IUOPA-Departamento de Medicina, University of Oviedo, Oviedo, Spain; Institute of Health Research of the Principality of Asturias - Foundation for Biosanitary Research of Asturias (ISPA-FINBA), Oviedo, Spain
| | - Mònica Guxens
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre-Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Carmen Iñiguez
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Department of Statistics and Computational Research, Universitat de València, Valencia, Spain
| | - Amaia Irizar
- Biodonostia Health Research Institute, Donostia, Spain
| | - Aitana Lertxundi
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Biodonostia Health Research Institute, Donostia, Spain; Faculty of Medicine and Nursing of the University of the Basque Country, Bilbao, Spain
| | - Mark Nieuwenhuijsen
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Ibon Tamayo
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Division of Immunology and Immunotherapy, Cima, Universidad de Navarra, Pamplona, Spain; Instituto de Investigación Sanitaria de Navarra (IdISNA), Pamplona, Spain
| | - Jesus Vioque
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Universidad Miguel Hernandez, ISABIAL-FISABIO, Alicante, Spain
| | - Adonina Tardón
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain; IUOPA-Departamento de Medicina, University of Oviedo, Oviedo, Spain; Institute of Health Research of the Principality of Asturias - Foundation for Biosanitary Research of Asturias (ISPA-FINBA), Oviedo, Spain
| | - Jordi Sunyer
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
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199
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Yeung EH, Guan W, Zeng X, Salas LA, Mumford SL, de Prado Bert P, van Meel ER, Malmberg A, Sunyer J, Duijts L, Felix JF, Czamara D, Hämäläinen E, Binder EB, Räikkönen K, Lahti J, London SJ, Silver RM, Schisterman EF. Cord blood DNA methylation reflects cord blood C-reactive protein levels but not maternal levels: a longitudinal study and meta-analysis. Clin Epigenetics 2020; 12:60. [PMID: 32354366 PMCID: PMC7193358 DOI: 10.1186/s13148-020-00852-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Accepted: 04/15/2020] [Indexed: 02/22/2023] Open
Abstract
Background Prenatal inflammation has been proposed as an important mediating factor in several adverse pregnancy outcomes. C-reactive protein (CRP) is an inflammatory cytokine easily measured in blood. It has clinical value due to its reliability as a biomarker for systemic inflammation and can indicate cellular injury and disease severity. Elevated levels of CRP in adulthood are associated with alterations in DNA methylation. However, no studies have prospectively investigated the relationship between maternal CRP levels and newborn DNA methylation measured by microarray in cord blood with reasonable epigenome-wide coverage. Importantly, the timing of inflammation exposure during pregnancy may also result in different effects. Thus, our objective was to evaluate this prospective association of CRP levels measured during multiple periods of pregnancy and in cord blood at delivery which was available in one cohort (i.e., Effects of Aspirin in Gestation and Reproduction trial), and also to conduct a meta-analysis with available data at one point in pregnancy from three other cohorts from the Pregnancy And Childhood Epigenetics consortium (PACE). Secondarily, the impact of maternal randomization to low dose aspirin prior to pregnancy on methylation was assessed. Results Maternal CRP levels were not associated with newborn DNA methylation regardless of gestational age of measurement (i.e., CRP at approximately 8, 20, and 36 weeks among 358 newborns in EAGeR). There also was no association in the meta-analyses (all p > 0.5) with a larger sample size (n = 1603) from all participating PACE cohorts with available CRP data from first trimester (< 18 weeks gestation). Randomization to aspirin was not associated with DNA methylation. On the other hand, newborn CRP levels were significantly associated with DNA methylation in the EAGeR trial, with 33 CpGs identified (FDR corrected p < 0.05) when both CRP and methylation were measured at the same time point in cord blood. The top 7 CpGs most strongly associated with CRP resided in inflammation and vascular-related genes. Conclusions Maternal CRP levels measured during each trimester were not associated with cord blood DNA methylation. Rather, DNA methylation was associated with CRP levels measured in cord blood, particularly in gene regions predominately associated with angiogenic and inflammatory pathways. Trial registration Clinicaltrials.gov, NCT00467363, Registered April 30, 2007, http://www.clinicaltrials.gov/ct2/show/NCT00467363
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Affiliation(s)
- Edwina H Yeung
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge Dr, MSC 7004, Bethesda, MD, 20817, USA.
| | - Weihua Guan
- Division of Biostatistics, School of Public Health, University of Minnesota, A460 Mayo Building, MMC 303, 420 Delaware St. SE, Minneapolis, MN, 55455, USA
| | | | - Lucas A Salas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth College, Lebanon, NH, 03766, USA
| | - Sunni L Mumford
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge Dr, MSC 7004, Bethesda, MD, 20817, USA
| | - Paula de Prado Bert
- ISGlobal, 08003, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), 08003, Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Evelien R van Meel
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands.,Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Anni Malmberg
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Jordi Sunyer
- ISGlobal, 08003, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), 08003, Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,IMIM (Hospital del Mar Medical Research Institute), 08003, Barcelona, Spain
| | - Liesbeth Duijts
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands.,Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands.,Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Darina Czamara
- Department of Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany
| | | | - Elisabeth B Binder
- Department of Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany.,Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, USA
| | - Katri Räikkönen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Jari Lahti
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Stephanie J London
- Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, Durham, NC, 27709, USA
| | - Robert M Silver
- University of Utah, Salt Lake City, 50 N Medical Dr, Salt Lake City, UT, 84132, USA
| | - Enrique F Schisterman
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge Dr, MSC 7004, Bethesda, MD, 20817, USA
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200
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Audouze K, Sarigiannis D, Alonso-Magdalena P, Brochot C, Casas M, Vrijheid M, Babin PJ, Karakitsios S, Coumoul X, Barouki R. Integrative Strategy of Testing Systems for Identification of Endocrine Disruptors Inducing Metabolic Disorders-An Introduction to the OBERON Project. Int J Mol Sci 2020; 21:ijms21082988. [PMID: 32340264 PMCID: PMC7216143 DOI: 10.3390/ijms21082988] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 04/19/2020] [Accepted: 04/21/2020] [Indexed: 12/12/2022] Open
Abstract
Exposure to chemical substances that can produce endocrine disrupting effects represents one of the most critical public health threats nowadays. In line with the regulatory framework implemented within the European Union (EU) to reduce the levels of endocrine disruptors (EDs) for consumers, new and effective methods for ED testing are needed. The OBERON project will build an integrated testing strategy (ITS) to detect ED-related metabolic disorders by developing, improving and validating a battery of test systems. It will be based on the concept of an integrated approach for testing and assessment (IATA). OBERON will combine (1) experimental methods (in vitro, e.g., using 2D and 3D human-derived cells and tissues, and in vivo, i.e., using zebrafish at different stages), (2) high throughput omics technologies, (3) epidemiology and human biomonitoring studies and (4) advanced computational models (in silico and systems biology) on functional endpoints related to metabolism. Such interdisciplinary framework will help in deciphering EDs based on a mechanistic understanding of toxicity by providing and making available more effective alternative test methods relevant for human health that are in line with regulatory needs. Data generated in OBERON will also allow the development of novel adverse outcome pathways (AOPs). The assays will be pre-validated in order to select the test systems that will show acceptable performance in terms of relevance for the second step of the validation process, i.e., the inter-laboratory validation as ring tests. Therefore, the aim of the OBERON project is to support the organization for economic co-operation and development (OECD) conceptual framework for testing and assessment of single and/or mixture of EDs by developing specific assays not covered by the current tests, and to propose an IATA for ED-related metabolic disorder detection, which will be submitted to the Joint Research Center (JRC) and OECD community.
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Affiliation(s)
- Karine Audouze
- Inserm UMR S-1124, Université de Paris, 75006 Paris, France; (X.C.); (R.B.)
- Correspondence:
| | - Denis Sarigiannis
- HERACLES Research Center on the Exposome and Health, Aristotle University of Thessaloniki, Center for Interdisciplinary Research and Innovation, 57001 Thessaloniki, Greece;
| | - Paloma Alonso-Magdalena
- Instituto de Investigación, Desarrollo e Innovación en Biotecnología Sanitaria de Elche (IDiBE), Universidad Miguel Hernández, 03202 Elche, Spain;
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), 28029 Madrid, Spain
| | - Celine Brochot
- Institut National de l’Environnement Industriel et des Risques (INERIS), Unité Modèles pour l’Ecotoxicologie et la Toxicologie (METO), Parc ALATA BP2, 60550 Verneuil en Halatte, France;
| | - Maribel Casas
- ISGlobal, 08003 Barcelona, Spain; (M.C.); (M.V.)
- Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
| | - Martine Vrijheid
- ISGlobal, 08003 Barcelona, Spain; (M.C.); (M.V.)
- Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
| | - Patrick J. Babin
- Department of Life and Health Sciences, University of Bordeaux, INSERM U1211, MRGM, F-33615 Pessac, France;
| | | | - Xavier Coumoul
- Inserm UMR S-1124, Université de Paris, 75006 Paris, France; (X.C.); (R.B.)
| | - Robert Barouki
- Inserm UMR S-1124, Université de Paris, 75006 Paris, France; (X.C.); (R.B.)
- Service de Biochimie métabolomique et protéomique, Hôpital Necker enfants malades, AP-HP, 75015 Paris, France
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