Metabolomics Tools for Describing Complex Pesticide Exposure in Pregnant Women in Brittany (France)

摘要: BACKGROUND: The use of pesticides and the related environmental contaminations can lead to human exposure various molecules. In early-life, such exposures could be responsible for adverse developmental effects. However, health risks associated with complex mixtures are currently under-explored. OBJECTIVE: THIS PROJECT AIMS AT ANSWERING THE FOLLOWING QUESTIONS: What is influence multiple on metabolome? mechanistic pathways involved in metabolic changes observed? METHODS: Based PELAGIE cohort (Brittany, France), 83 pregnant women who provided a urine sample early pregnancy, were classified 3 groups according surface land dedicated agricultural cereal activities their town residence. Nuclear magnetic resonance-based metabolomics analyses performed samples. Partial Least Squares Regression-Discriminant Analysis (PLS-DA) polytomous regressions used separate urinary profiles from after adjusting potential confounders. RESULTS: correctly separated PLS-DA model implementing an orthogonal signal correction pareto standardizations (R2 = 90.7% Q2 = 0.53). After maternal age, parity, body mass index smoking habits, most statistically significant observed glycine, threonine, lactate glycerophosphocholine (upward trend), citrate (downward trend). CONCLUSION: This work suggests that pesticide induces modifications fingerprints. It hypothesized identified discriminating metabolites increase oxidative stress disturb energy metabolism.