Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/105415
Type of publication: research article
Type of publication (PDB): Straipsnis Clarivate Analytics Web of Science / Article in Clarivate Analytics Web of Science (S1)
Field of Science: Ekologija ir aplinkotyra / Ecology and environmental sciences (N012)
Author(s): Agier, Lydiane;Basagaña, Xavier;Hernandez-Ferrer, Carles;Maitre, Léa;Uria, Ibon Tamayo;Urquiza, Jose;Andrušaitytė, Sandra;Casas, Maribel;Castro, Montserrat de;Cequier, Enrique;Chatzi, Leda;Donaire-Gonzalez, David;Giorgis-Allemand, Lise;Gonzalez, Juan R;Gražulevičienė, Regina;Gutzkow, Kristine B;Haug, Line Småstuen;Sakhi, Amrit K;McEachan, Rosemary R. C;Meltzer, Helle Margrete;Nieuwenhuijsen, Mark;Robinson, Oliver;Roumeliotaki, Theano;Sunyer, Jordi;Thomsen, Cathrine;Vafeiadi, Marina;Valentín, Antònia;West, Jane;Wright, John;Siroux, Valérie;Vrijheid, Martine;Slama, Rémy
Title: Association between the pregnancy exposome and fetal growth
Is part of: International journal of epidemiology. Oxford : Oxford University Press, 2020, vol. 49, iss. 2
Extent: p. 572-586
Date: 2020
Keywords: Biologiniai markeriai;Cheminė ekspozicija;Kohortos;Aplinka;Ekspozomas;Biomarkers;Cohort;Chemical exposures;Environment;Exposome;Fetal growth;Mixtures
Abstract: Background: Several environmental contaminants were shown to possibly influence fetal growth, generally from single exposure family studies, which are prone to publication bias and confounding by co-exposures. The exposome paradigm offers perspectives to avoid selective reporting of findings and to control for confounding by co-exposures. We aimed to characterize associations of fetal growth with the pregnancy chemical and external exposomes.Within the Human Early-Life Exposome project, 131 prenatal exposures were assessed using biomarkers and environmental models in 1287 mother–child pairs from six European cohorts. We investigated their associations with fetal growth using a deletion-substitution-addition (DSA) algorithm considering all exposures simultaneously, and an exposome-wide association study (ExWAS) considering each exposure independently. We corrected for exposure measurement error and tested for exposure– exposure and sex–exposure interactions. Results: The DSA model identified lead blood level, which was associated with a 97 g birth weight decrease for each doubling in lead concentration. No exposure passed the multiple testing-corrected significance threshold of ExWAS; without multiple testing correction, this model was in favour of negative associations of lead, fine particulate matter concentration and absorbance with birth weight, and of a positive sex-specific association of parabens with birth weight in boys. No two-way interaction between exposure variables was identified Conclusions: This first large-scale exposome study of fetal growth simultaneously considered >100 environmental exposures. Compared with single exposure studies, our approach allowed making all tests (usually reported in successive publications) explicit. Lead exposure is still a health concern in Europe and parabens health effects warrant further investigation
Internet: https://doi.org/10.1093/ije/dyaa017
Affiliation(s): Aplinkotyros katedra
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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