Urine Metabolic Signatures of Multiple Environmental Pollutants in Pregnant Women: An Exposome Approach.
Lea MaitreOliver RobinsonDavid MartinezMireille B ToledanoJesús IbarluzeaLoreto Santa MarinaJordi SunyerCristina M VillanuevaHector C KeunMartine VrijheidMuireann CoenPublished in: Environmental science & technology (2018)
Exposure to environmental pollutants, particularly during pregnancy, can have adverse consequences on child development but little is known about the effects of pollutant mixtures on endogenous metabolism in pregnant women. We aimed to identify urinary metabolic signatures associated with low level exposure to multiple environmental pollutants in pregnant women from the INMA (INfancia y Medio Ambiente) birth cohort (Spain, N = 750). 35 chemical exposures were quantified in first trimester blood samples (organochlorine pesticides, PCBs, PFAS), in cord blood (mercury), and twice in urine at 12 and 32 weeks of pregnancy (metals, phthalates, bisphenol A). 1H nuclear magnetic resonance (NMR) metabolic profiles of urine were acquired in the same samples as pollutants. We explored associations between exposures and metabolism through an exposome-metabolome wide association scan and multivariate O2PLS modeling. Novel and reproducible associations were found across two periods of pregnancy for three nonpersistent pollutants and across two subcohorts for four of the persistent pollutants. We found novel metabolic signatures associated with arsenic exposure: TMAO and dimethylamine possibly related to gut microbial methylamine metabolism and homarine related to fish intake. Tobacco smoke exposure was related to coffee metabolism and PCBs with 3-hydroxyvaleric acid, usually released under ketoacidosis. These findings will have implications for further understanding of maternal-fetal health, and health across the life-course.
Keyphrases
- pregnant women
- heavy metals
- pregnancy outcomes
- magnetic resonance
- human health
- cord blood
- risk assessment
- mental health
- public health
- healthcare
- genome wide
- air pollution
- health risk assessment
- health risk
- high resolution
- emergency department
- drinking water
- physical activity
- magnetic resonance imaging
- gene expression
- data analysis
- electronic health record
- birth weight
- adverse drug
- tandem mass spectrometry