The U.S. EPA continues to utilize high-throughput screening data to evaluate potential biological effects of endocrine active substances without the use of animal testing. Determining the scope and need for in vitro metabolism in high-throughput assays requires the generation of larger data sets that assess the impact of xenobiotic transformations on toxicity-related endpoints. The objective of the current study was to screen a set of 768 ToxCast chemicals in the VM7Luc estrogen receptor transactivation assay (ERTA) using the Alginate Immobilization of Metabolic Enzymes (AIME) hepatic metabolism method. Chemicals were screened with or without metabolism to identify estrogenic effects and metabolism-dependent changes in bioactivity. Based on estrogenic hit calls, 85 chemicals were active in both assay modes, 16 chemicals were only active without metabolism, and 27 chemicals were only active with metabolism. Using a novel metabolism curve shift method that evaluates the shift in concentration-response curves, 29 of these estrogenic chemicals were identified as bioactivated and 59 were bioinactivated. Human biotransformation routes and associated metabolites were predicted in silico across the chemicals to mechanistically characterize possible transformation-related ERTA effects. Overall, the study profiled novel chemicals associated with metabolism-dependent changes in ERTA bioactivity, and suggested routes of biotransformation and putative metabolites responsible for the observed estrogenic effects. The data demonstrate a range of metabolism-dependent effects across a diverse chemical library and highlight the need to evaluate the role of intrinsic xenobiotic metabolism in endocrine and other toxicity-related health effects.

This is an original dataset generated at the U.S. EPA. Data was analyzed with the ToxCast Pipeline and deposited for release in invitroDB accessible via the U.S. EPA CompTox Chemicals Dashboard.