The early-life exposome: Description and patterns in six European countries.
Children
Early life
Environmental exposures
Exposome
Pregnancy
Journal
Environment international
ISSN: 1873-6750
Titre abrégé: Environ Int
Pays: Netherlands
ID NLM: 7807270
Informations de publication
Date de publication:
02 2019
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
189-200Subventions
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.
Références
Lancet. 2006 Dec 16;368(9553):2167-78
pubmed: 17174709
Occup Environ Med. 2015 Jun;72(6):383-4
pubmed: 25744973
J Epidemiol Community Health. 2014 Nov;68(11):1096-100
pubmed: 24923805
Int J Epidemiol. 2016 Apr;45(2):382-8
pubmed: 27063603
Int J Epidemiol. 2017 Oct 1;46(5):1392-1393k
pubmed: 29040580
Environ Health Perspect. 2016 Dec;124(12):1848-1856
pubmed: 27219331
Int J Epidemiol. 2012 Aug;41(4):930-40
pubmed: 21471022
Environ Int. 2015 Jan;74:144-51
pubmed: 25454231
Environ Sci Technol. 2012 Nov 6;46(21):12120-8
pubmed: 22958121
Environ Health Perspect. 2014 Jun;122(6):535-44
pubmed: 24610234
Environ Sci Technol. 2018 Aug 7;52(15):8801-8810
pubmed: 29972023
Environ Sci Technol. 2015 Sep 1;49(17):10632-41
pubmed: 26168307
Science. 2002 Apr 26;296(5568):695-8
pubmed: 11976443
Occup Environ Med. 2015 Jun;72(6):385-93
pubmed: 25209848
Stat Med. 2011 Feb 20;30(4):377-99
pubmed: 21225900
Curr Environ Health Rep. 2015 Jun;2(2):204-13
pubmed: 26231368
Curr Environ Health Rep. 2016 Sep;3(3):250-7
pubmed: 27220615
Endocrinology. 2015 Oct;156(10):3416-21
pubmed: 26241070
Environ Health Perspect. 2014 Oct;122(10):1095-102
pubmed: 25014041
Environ Res. 2019 Jul;174:95-104
pubmed: 31055170
Int J Epidemiol. 2018 Aug 1;47(4):1343-1354
pubmed: 29939274
Epidemiology. 2014 Jul;25(4):518-25
pubmed: 24787556
Curr Environ Health Rep. 2017 Dec;4(4):481-490
pubmed: 28988291
Am J Epidemiol. 2009 May 1;169(9):1133-9
pubmed: 19318618
Environ Int. 2018 Dec;121(Pt 1):751-763
pubmed: 30326459
Environ Int. 2017 Apr;101:117-124
pubmed: 28159394
Lancet. 2012 Dec 15;380(9859):2224-60
pubmed: 23245609
Environ Health Perspect. 2018 Jul 17;126(7):077005
pubmed: 30024382
Environ Health. 2017 Jul 14;16(1):74
pubmed: 28709428
Cancer Epidemiol Biomarkers Prev. 2005 Aug;14(8):1847-50
pubmed: 16103423
BMJ Open. 2018 Sep 10;8(9):e021311
pubmed: 30206078
Int J Environ Res Public Health. 2009 Mar;6(3):1282-97
pubmed: 19440446
Int J Hyg Environ Health. 2016 Jul;219(4-5):331-42
pubmed: 27216159
Int J Epidemiol. 2013 Aug;42(4):978-91
pubmed: 23064411
J Clin Epidemiol. 2006 Oct;59(10):1087-91
pubmed: 16980149
PLoS One. 2010 May 20;5(5):e10746
pubmed: 20505766
Environ Int. 2018 Dec;121(Pt 1):561-573
pubmed: 30300814
Am J Epidemiol. 2015 Feb 1;181(3):171-9
pubmed: 25589242
Pac Symp Biocomput. 2015;:231-42
pubmed: 25592584
Int J Epidemiol. 2016 Apr;45(2):353-63
pubmed: 26283636