Childhood exposure to non-persistent endocrine disrupting chemicals and multi-omic profiles: A panel study. (March 2023)

• Record Type: Journal Article
• Authors: Fabbri, Lorenzo; Garlantézec, Ronan; Audouze, Karine; Bustamante, Mariona; Carracedo, Ángel; Chatzi, Leda; Ramón González, Juan; Gražulevičienė, Regina; Keun, Hector; Lau, Chung-Ho E; Sabidó, Eduard; Siskos, Alexandros P; Slama, Rémy; Thomsen, Cathrine; Wright, John; Lun Yuan, Wen; Casas, Maribel; Vrijheid, Martine; Maitre, Léa
• Is Part Of: Environment international. Volume 173(2023)
• Publication Date: 2023-03
• Subjects: Multi-omics -- Metabolomics -- Endocrine disruptors -- Childhood; Environmental protection -- Periodicals; Environmental health -- Periodicals; Environmental monitoring -- Periodicals; Environmental Monitoring -- Periodicals; Environnement -- Protection -- Périodiques; Hygiène du milieu -- Périodiques; Environnement -- Surveillance -- Périodiques; Environmental health; Environmental monitoring; Environmental protection; Periodicals; 333.705
• DOI: 10.1016/j.envint.2023.107856
• Languages: English
• ISSNs: 0160-4120

Abstract

Highlights: We adopted a multi-omics strategy in a population-based childhood cohort. We identified relevant molecular signatures related to non-persistent EDC exposure. We identified the potential effect of multiple exposures on the nervous system. We found associations between multiple EDCs with serotonin, kynurenine, and leptin. Abstract: Background: Individuals are exposed to environmental pollutants with endocrine disrupting activity (endocrine disruptors, EDCs) and the early stages of life are particularly susceptible to these exposures. Previous studies have focused on identifying molecular signatures associated with EDCs, but none have used repeated sampling strategy and integrated multiple omics. We aimed to identify multi-omic signatures associated with childhood exposure to non-persistent EDCs. Methods: We used data from the HELIX Child Panel Study, which included 156 children aged 6 to 11. Children were followed for one week, in two time periods. Twenty-two non-persistent EDCs (10 phthalate, 7 phenol, and 5 organophosphate pesticide metabolites) were measured in two weekly pools of 15 urine samples each. Multi-omic profiles (methylome, serum and urinary metabolome, proteome) were measured in blood and in a pool urine samples. We developed visit-specific Gaussian Graphical Models based on pairwise partial correlations. The visit-specific networks were then merged to identify reproducible associations. Independent biological evidence was systematically sought to confirm some of these associations and assess their potential health implications. Results: 950 reproducible associations were found among which 23 were direct associations between EDCs and omics. For 9 of them, we were able to find corroborating evidence from previous literature: DEP - serotonin, OXBE - cg27466129, OXBE - dimethylamine, triclosan - leptin, triclosan - serotonin, MBzP - Neu5AC, MEHP - cg20080548, oh-MiNP - kynurenine, oxo-MiNP − 5-oxoproline. We used these associations to explore possible mechanisms between EDCs and health outcomes, and found links to health outcomes for 3 analytes: serotonin and kynurenine in relation to neuro-behavioural development, and leptin in relation to obesity and insulin resistance. Conclusions: This multi-omics network analysis at two time points identified biologically relevant molecular signatures related to non-persistent EDC exposure in childhood, suggesting pathways related to neurological and metabolic outcomes.