Laboratory and Basic Science Research Commons^™

Incorporating New Technologies Into Toxicity Testing And Risk Assessment: Moving From 21st Century Vision To A Data-Driven Framework, Russell S. Thomas, Martin A. Philbert, Scott Auerbach, Barbara A. Wetmore, Michael J. Devito, Ila Cote, J. Craig Rowlands, Maurice Whelan, Sean M. Hays, Melvin E. Andersen, M.E. (Bette) Meek, Lawrence W. Reiter, Jason C. Lambert, Harvey J. Clewell Iii, Martin L. Stephens, Q. Jay Zhao, Scott C. Wesselkamper, Lynn Flowers, Edward W. Carney, Tim P. Pastoor, Dan D. Petersen, Carole L. Yauk, Andy Nong

in Vitro Research Models Collection

Based on existing data and previous work, a series of studies is proposed as a basis toward a pragmatic early step in transforming toxicity testing. These studies were assembled into a data-driven framework that invokes successive tiers of testing with margin of exposure (MOE) as the primary metric. The first tier of the framework integrates data from high-throughput in vitro assays, in vitro-to-in vivo extrapolation (IVIVE) pharmacokinetic modeling, and exposure modeling. The in vitro assays are used to separate chemicals based on their relative selectivity in interacting with biological targets and identify the concentration at which these interactions …