German Cano-Sancho, Charline Warembourg, Nuria Güil, Nikos Stratakis, Aitana Lertxundi, Amaia Irizar, Sabrina Llop, Maria-Jose Lopez-Espinosa, Xavier Basagaña, Juan Ramon González, Xavier Coumoul, Sílvia Fernández-Barrés, Jean-Philippe Antignac, Martine Vrijheid, Maribel Casas, Laboratoire d'étude des Résidus et Contaminants dans les Aliments (LABERCA), École nationale vétérinaire, agroalimentaire et de l'alimentation Nantes-Atlantique (ONIRIS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), EHESP-Irset (EHESP-Irset), École des Hautes Études en Santé Publique [EHESP] (EHESP), Barcelona Institute for Global Health [Barcelona, Spain] (ISGlobal), and University of Barcelona-Hospital Clinic [Barcelona, Spain]
Includes supplementary materials for the online appendix. Prenatal exposure to persistent organic pollutants (POPs) may contribute to the development of childhood obesity and metabolic disorders. However, little is known about whether the maternal nutritional status during pregnancy can modulate these associations. The main objective was to characterize the joint associations and interactions between prenatal levels of POPs and nutrients on childhood obesity. We used data from to the Spanish INfancia y Medio Ambiente–Environment and Childhood (INMA) birth cohort, on POPs and nutritional biomarkers measured in maternal blood collected at the first trimester of pregnancy and child anthropometric measurements at 7 years of age. Six organochlorine compounds (OCs) [dichlorodiphenyldichloroethylene, hexachlorobenzene (HCB), lowercase beta-hexachlorocyclohexaneβ−hexachlorocyclohexane (lowercase beta-uppercase c hβ−HCH) and polychlorinated biphenyls 138, 153, 180] and four per- and polyfluoroalkyl substances (PFAS) were measured. Nutrients included vitamins (D, B12, and folate), polyunsaturated fatty acids (PUFAs), and dietary carotenoids. Two POPs–nutrients mixtures data sets were established: a) OCs, PFAS, vitamins, and carotenoids (lowercase italic n equals 660n=660), and b) OCs, PUFAs, and vitamins (lowercase italic n equals 558n=558). Joint associations of mixtures on obesity were characterized using Bayesian kernel machine regression (BKMR). Relative importance of biomarkers and two-way interactions were identified using gradient boosting machine, hierarchical group lasso regularization, and BKMR. Interactions were further characterized using multivariate regression models in the multiplicative and additive scale. Forty percent of children had overweight or obesity. We observed a positive overall joint association of both POPs–nutrients mixtures on overweight/obesity risk, with HCB and vitamin B12 the biomarkers contributing the most. Recurrent interactions were found between HCB and vitamin B12 across screening models. Relative risk for a natural log increase of HCB was 1.31 (95% CI: 1.11, 1.54, lowercase italic p begin subscript interaction end subscript equals 0.02pInteraction=0.02) in the tertile 2 of vitamin B12 and in the additive scale a relative excess risk due to interaction of 0.11 (95% CI: 0.02, 0.20) was found. Interaction between perfluorooctane sulfonate and lowercase beta-cryptoxanthinβ−cryptoxanthin suggested a protective effect of the antioxidant on overweight/obesity risk. These results support that maternal nutritional status may modulate the effect of prenatal exposure to POPs on childhood overweight/obesity. These findings may help to develop a biological hypothesis for future toxicological studies and to better interpret inconsistent findings in epidemiological studies. https://doi.org/10.1289/EHP11258 We thank all study participants for their generous collaboration. This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement no. 874583, the ATHLETE project, and no. 825712, the OBERON project. This publication reflects only the authors’ view and the European Commission is not responsible for any use that may be made of the information it contains. INMA-Sabadell: This study was funded by grants from Instituto de Salud Carlos III (Red INMA G03/176; CB06/02/0041; PI041436; PI081151 incl. FEDER funds), CIBERESP, Generalitat de Catalunya-CIRIT 1999SGR 00241, Generalitat de Catalunya-AGAUR 2009 SGR 501, and Fundació La Marató de TV3 (090430). M.C. holds a Miguel Servet fellowship (CP16/00128) funded by Instituto de Salud Carlos III and co-funded by European Social Fund “Investing in your future.” N.S. has received funding from the Ministry of Science and Innovation and State Research Agency through the Centro de Excelencia Severo Ochoa 2019–2023 program (CEX2018-000806-S) and from IJC2020-043630-I financed by MCIN/AEI/10.13039/501100011033 and the European Union NextGenerationEU/PRTR. We also acknowledge support from the Generalitat de Catalunya through the CERCA Program. INMA-Gipuzkoa: This study was funded by grants from Instituto de Salud Carlos III (FIS-PI13/02187 and FIS-PI18/01142 incl. FEDER funds), CIBERESP, Department of Health of the Basque Government (2015111065), and the Provincial Government of Gipuzkoa (DFG15/221) and annual agreements with the municipalities of the study area (Zumarraga, Urretxu, Legazpi, Azkoitia y Azpeitia y Beasain). INMA-Valencia: This study was funded by grants from the UE (FP7-ENV-2011 cod 282957 and HEALTH.2010.2.4.5-1), Spain: ISCIII (G03/176; FIS-FEDER: PI11/01007, PI11/02591, PI11/02038, PI12/00610, PI13/1944, PI13/2032, PI14/00891, PI14/01687, PI16/1288, and PI17/00663; Miguel Servet-FEDER MS11/00178, MS15/00025, and MSII16/00051), Generalitat Valenciana: FISABIO (UGP 15-230, UGP-15-244, and UGP-15-249), and the Alicia Koplowitz Foundation 2017.