Science Inventory

Predictive Toxicology and In Vitro to In Vivo Extrapolation (AsiaTox2015)

Citation:

Judson, R. Predictive Toxicology and In Vitro to In Vivo Extrapolation (AsiaTox2015). Presented at AsiaTox2015, Jeju, SOUTH KOREA, June 23 - 26, 2015. https://doi.org/10.23645/epacomptox.5080045

Impact/Purpose:

presentation at AsiaTox2015, 7th International Congress of Asia Society of Toxicology, June 23-26, 2015, Jeju Island, South Korea

Description:

A significant challenge in toxicology is the “too many chemicals” problem. Humans and environmental species are exposed to as many as tens of thousands of chemicals, few of which have been thoroughly tested using standard in vivo test methods. This talk will discuss several approaches to dealing with this problem being developed by the U.S. Environmental Protection Agency ToxCast program. The overall problem is broken into several tasks: (1) identifying biological pathways that, when perturbed, can lead to toxicity; (2) developing high-throughput in vitro assays to test chemical perturbations of these pathways; (3) identifying the universe of chemicals with likely human or ecological exposure; (4) testing as many of these chemicals as possible in the relevant in vitro assays or in silico (QSAR) models; (5) developing hazard models that take the results of these tests and identify chemicals as being potential toxicants; (6) generating pharmacokinetic data on these chemicals to predict the doses at which these hazard pathways would be activated; and (7) developing exposure models to identify chemicals for which these hazardous dose levels could be achieved. This overall strategy will be described and illustrated with examples including screening for potential endocrine disrupting chemicals and potential developmental toxicants. The views expressed are the author’s and do not necessarily reflect Agency policy.

Record Details:

Record Type:DOCUMENT( PRESENTATION/ SLIDE)
Product Published Date:06/23/2015
Record Last Revised:01/08/2016
OMB Category:Other
Record ID: 310867