The early-life exposome: Description and patterns in six European countries.


Journal

Environment international
ISSN: 1873-6750
Titre abrégé: Environ Int
Pays: Netherlands
ID NLM: 7807270

Informations de publication

Date de publication:
02 2019
Historique:
received: 23 07 2018
revised: 26 11 2018
accepted: 26 11 2018
pubmed: 12 12 2018
medline: 14 6 2019
entrez: 12 12 2018
Statut: ppublish

Résumé

Characterization of the "exposome", the set of all environmental factors that one is exposed to from conception onwards, has been advocated to better understand the role of environmental factors on chronic diseases. Here, we aimed to describe the early-life exposome. Specifically, we focused on the correlations between multiple environmental exposures, their patterns and their variability across European regions and across time (pregnancy and childhood periods). We relied on the Human Early-Life Exposome (HELIX) project, in which 87 environmental exposures during pregnancy and 122 during the childhood period (grouped in 19 exposure groups) were assessed in 1301 pregnant mothers and their children at 6-11 years in 6 European birth cohorts. Some correlations between exposures in the same exposure group reached high values above 0.8. The median correlation within exposure groups was >0.3 for many exposure groups, reaching 0.69 for water disinfection by products in pregnancy and 0.67 for the meteorological group in childhood. Median correlations between different exposure groups rarely reached 0.3. Some correlations were driven by cohort-level associations (e.g. air pollution and chemicals). Ten principal components explained 45% and 39% of the total variance in the pregnancy and childhood exposome, respectively, while 65 and 90 components were required to explain 95% of the exposome variability. Correlations between maternal (pregnancy) and childhood exposures were high (>0.6) for most exposures modeled at the residential address (e.g. air pollution), but were much lower and even close to zero for some chemical exposures. In conclusion, the early life exposome was high dimensional, meaning that it cannot easily be measured by or reduced to fewer components. Correlations between exposures from different exposure groups were much lower than within exposure groups, which have important implications for co-exposure confounding in multiple exposure studies. Also, we observed the early life exposome to be variable over time and to vary by cohort, so measurements at one time point or one place will not capture its complexities.

Identifiants

pubmed: 30530161
pii: S0160-4120(18)31629-5
doi: 10.1016/j.envint.2018.11.067
pmc: PMC9946269
mid: NIHMS1759261
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

189-200

Subventions

Organisme : NIEHS NIH HHS
ID : P30 ES007048
Pays : United States
Organisme : NIEHS NIH HHS
ID : N01ES75558
Pays : United States
Organisme : Medical Research Council
ID : MR/N024397/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/L01341X/1
Pays : United Kingdom
Organisme : NINDS NIH HHS
ID : U01 NS047537
Pays : United States

Informations de copyright

Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

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Auteurs

Ibon Tamayo-Uria (I)

ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Department of Statistics, Faculty of Arts and Sciences, Harvard University, Cambridge, MA, USA.

Léa Maitre (L)

ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.

Cathrine Thomsen (C)

Norwegian Institute of Public Health, Oslo, Norway.

Mark J Nieuwenhuijsen (MJ)

ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.

Leda Chatzi (L)

Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA.

Valérie Siroux (V)

Team of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, Grenoble, France.

Gunn Marit Aasvang (GM)

Norwegian Institute of Public Health, Oslo, Norway.

Lydiane Agier (L)

Team of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, Grenoble, France.

Sandra Andrusaityte (S)

Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania.

Maribel Casas (M)

ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.

Montserrat de Castro (M)

ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.

Audrius Dedele (A)

Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania.

Line S Haug (LS)

Norwegian Institute of Public Health, Oslo, Norway.

Barbara Heude (B)

INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Team 'Early Origin of the child's Health and Development' (ORCHAD), Villejuif, France; Paris Descartes University, Paris, France.

Regina Grazuleviciene (R)

Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania.

Kristine B Gutzkow (KB)

Norwegian Institute of Public Health, Oslo, Norway.

Norun H Krog (NH)

Norwegian Institute of Public Health, Oslo, Norway.

Dan Mason (D)

Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.

Rosemary R C McEachan (RRC)

Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.

Helle M Meltzer (HM)

Norwegian Institute of Public Health, Oslo, Norway.

Inga Petraviciene (I)

Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania.

Oliver Robinson (O)

ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.

Theano Roumeliotaki (T)

Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece.

Amrit K Sakhi (AK)

Norwegian Institute of Public Health, Oslo, Norway.

Jose Urquiza (J)

ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.

Marina Vafeiadi (M)

Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece.

Dagmar Waiblinger (D)

Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.

Charline Warembourg (C)

ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.

John Wright (J)

Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.

Rémy Slama (R)

Team of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, Grenoble, France.

Martine Vrijheid (M)

ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.

Xavier Basagaña (X)

ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain. Electronic address: xavier.basagana@isglobal.org.

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