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Superfund Research Program
Inter-Tissue and -Individual Variability in Response to Mixtures
- Project Summary
News Items List
Collaborative Cross Mice Can Fill Data Gaps in Risk Assessment
Research Brief - October 2019
NIEHS Superfund Research Program (SRP) grantees showed how the Collaborative Cross (CC) mouse model, which uses genetically diverse mice to capture over 90 percent of known mouse genetic variations, can account for individual differences in susceptibility to environmental chemicals. Led by Ivan Rusyn, M.D., Ph.D., director of the Texas A&M University SRP Center, researchers measured variability in kidney toxicity and metabolism in CC mice after exposing them to tetrachloroethylene (PERC).
Computational tool predicts chemical toxicity
Paper of the Month - August 2018
NIEHS grantees and colleagues developed a computational tool that uses the properties of a chemical to predict its toxicity. They determined that the tool can predict a toxicity value with an error of less than a factor of 10, making it useful for quickly assessing relative risks of chemicals for which traditional toxicity data or human health assessments are unavailable.