Work

Environmental Pollutants and Plasma Metabolomics in a Pregnancy Cohort

Year: 2019

Type: article

Abstract: S14: Use of Exposomic Methods Incorporating Sensors in Environmental Epidemiology, Room 217, Floor 2, August 27, 2019, 1:30 PM - 3:00 PM This presentation will describe preliminary results of an investigation of exposures to environmental pollutants during pregnancy in relation to plasma metabolomics and include a discussion of challenges and opportunities of linking high-dimensional exposomic data to high-dimensional outcome data. The New Hampshire Birth Cohort Study used silicone wristbands to passively measure exposures to a suite of environmental pollutants in a cohort of women during pregnancy. Women wore the silicone wristbands for 1 week during gestation (~14 gestational weeks), which were analyzed for concentrations of over 1500 environmental pollutants, including personal care products, pesticides, flame retardants, polycyclic aromatic hydrocarbons, and others. For this pilot study, we used data from 111 wristbands; from these wristbands, 140 unique pollutants were quantified and 21 pollutants were detected in >50% of samples. At approximately 24 to 28 gestational weeks, women provided blood samples that were analyzed for 188 endogenous metabolites in plasma using UPLC-MS and the AbsoluteIDQ™ p180 kit from Biocrates Life Sciences. This method provides quantitation or semi-quantitation of amino acids and biogenic amines, acylcarnitines, sphingolipids, and glycerophospholipids. Using these data, as well as rich supporting covariate data, we investigated the relationships between the exposures to environmental pollutants measured using the silicone wristbands and the concentrations of plasma metabolites. We will present our preliminary findings of an exposome-metabolome wide association study and results from networks-based methods. Emerging tools and sensors provide new opportunities for linking high-dimensional exposomic data with metabolomics data for the study of health outcomes.

Source: Environmental Epidemiology

DOI: 10.1097/01.ee9.0000606800.15479.96