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Update on EPA’s<br />

ToxCast Programme<br />

Providing High-Throughput Decision Support<br />

Tools for Chemical Risk Management<br />

Robert Kavlock<br />

National Center for Computational Toxicology<br />

Office of Research and Development<br />

US Environmental Protection Agency<br />

Research Triangle Park, NC 27711, USA<br />

kavlock.robert@epa.gov<br />

Website: epa.gov/ncct/toxcast<br />

The US EPA’s ToxCast research programme was launched in 2007 with the goal of<br />

evaluating the use of high-throughput bioassays to detect key biological targets and<br />

pathways that could be potential targets for chemicals and as a consequence of the<br />

interaction cause diseases such as cancer, reproductive toxicity or birth defects (Dix et<br />

al., 2007). As noted by the NRC in its vision for a new paradigm in toxicity testing (NRC,<br />

2007), the traditional approach to toxicology uses expensive and time consuming animalbased<br />

testing approach and is inadequate to cover the large numbers of chemicals in<br />

commerce. In addition, since it does not provide mechanistic information on how the<br />

chemicals exert toxicity, there remain large uncertainties in extrapolating data across<br />

dose, species and life stages. ToxCast addresses many of the issues raised in the NRC<br />

report. It is a multi-year, multi-million dollar effort to comprehensively apply batteries<br />

of in vitro tests against chemicals with known toxicological phenotypes derived from<br />

traditional guideline studies for cancer, reproductive impairment and developmental<br />

disorders (see Martin et al., 2009a,b; Knudsen et al., 2009 for description and analyses<br />

of the traditional legacy databases). With a commitment to transparency and public<br />

release of all data (see epa.gov/actor for access), it is the most strategic and coordinated<br />

public sector effort to transform toxicology. The goal is to acquire sufficient<br />

information on a range of chemicals so that ‘bioactivity signatures’ can be discerned<br />

that identify distinctive patterns of toxic effects, or phenotypes, observed in traditional<br />

animal toxicity testing. The ToxCast predictive bioactivity signatures are based upon<br />

physico-chemical properties, biochemical properties from high-throughput screening<br />

(HTS) assays, cell-based phenotypic assays, genomic analyses of cells in vitro, and<br />

responses in non-mammalian model organisms.<br />

232<br />

AXLR8-2 WORKSHOP REPORT<br />

Progress Report 2011 & AXLR8-2 Workshop Report

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