An exposome-based approach using Big Data to compare the health impacts of multi-chemicals and multi-stressor exposures

L. Huang, Nicolo Aurisano, Peter Fantke, O. Jolliet

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Abstract

High-throughput exposure strategies comparing exposure to various chemical, nutritional, and physical stressors are needed for exposome wide associations. This presentation shows how recent Big Data and models enable us to predict
exposure and impacts for multiple stressors. a) Consumer exposures to chemical in multiple products (e.g. building materials, toys, cleaning products, personal care products) are assessed using stochastic usage and chemical contents databases for more than 15000 product-chemicals combinations. b) Occupational exposures to organic chemicals were assessed across the entire US industry, based on observed organic chemical concentrations at workplace for 49,000 measured sector-based concentration values for 235 organic chemicals. c) PM2.5 environmental exposures are assessed based on residence location and a multiscale model predicting local concentrations. In addition, exposures to chemical stressors are compared to d) Dietary exposures and nutritional impacts were assessed using NHANES survey and the decomposition of individual diet into 16 dietary riks factors, accounting for 400 risk-outcomes, stratified by 15 age groups and gender, coupled with food composition and consumption data for 20,000 individuals. e) Physical activity is charaterized using MET and outcome specific relative risk. All exposures are then coupled with corresponding dose-responses to obtain individual burden in µDALY/pers-day then translated minutes of healthy life lost or gained per person per day. Potential impacts are highly variables depending on individual behaviour and can typically range a) from 0 to 50 minutes of health life lost/pers-day for exposure to chemicals in consumer products, b) from 0 to 1400 minutes lost/pers-day depending on industry sector for impacts of organic pollutants on workers; c) from an impact of 0 to 50 minutes lost/pers-day associated with fine particulate 2.5µm, depending on residence location, d) from a typical impact of 40 minutes/serving-day lost from detrimental food, up to a benefit of 30 minutes/serving-day depending on food items, with main impacts associated with cardiovascular disease, diabetes and cancers; e) from a benefit of 0 to 40 minutes gained/pers-day as a function of physical activity. We enter an exciting era in which you can “Tell me when and where you lived and worked, what you consumed, exercised and ate… and I will tell you who you are (your exposome !).
Original languageEnglish
Title of host publicationAbstract Book of SETAC Europe 30th Annual Meeting
Publication date2020
Pages51-51
Publication statusPublished - 2020
EventSETAC Europe 30th Annual Meeting - Online Meeting
Duration: 3 May 20207 May 2020
Conference number: 30

Conference

ConferenceSETAC Europe 30th Annual Meeting
Number30
LocationOnline Meeting
Period03/05/202007/05/2020

Cite this

Huang, L., Aurisano, N., Fantke, P., & Jolliet, O. (2020). An exposome-based approach using Big Data to compare the health impacts of multi-chemicals and multi-stressor exposures. In Abstract Book of SETAC Europe 30th Annual Meeting (pp. 51-51)