Reference Data for Evaluation of In Vitro Test Methods and Computational Models
NICEATM is compiling high-quality data from in vivo testing of chemicals for potential endocrine disruptor activity. These data have potential use for:
- Developing adverse outcome pathways or models of endocrine activity
- Prioritizing chemicals for further testing
- Evaluating species-specific responses to chemicals
Curated Database of Rodent Uterotrophic Bioactivity
NICEATM searched the peer-reviewed literature for uterotrophic assay data on 1812 ToxCast compounds. The uterotrophic assay (EPA OPPTS 890.1600) measures the estrogenic activity of a substance by assessing its effect on the weight of the uterus in a female rodent.
The initial search yielded over 1000 papers, of which 670 were potentially relevant based on the inclusion of uterine weight as a measured endpoint. From these 670 manuscripts, 2615 individual chemical/
Only study design protocols that met six minimum criteria were included in the Guideline-Like Uterotrophy Database (GL-UTDB). The GL-UTDB contains information from 458 guideline-like (GL) studies extracted from 93 publications, providing high-quality in vivo estrogenic bioactivity data on 118 chemicals with unique CASRNs (103 of which are in the ToxCast/
- View data from initial search: 2615 experiments
- View GL-UTDB
- Reference: Kleinstreuer NC, Ceger PC, Allen DG, Strickland J, Chang X, Hamm JT, Casey WM. A curated database of rodent uterotrophic bioactivity. Environ Health Perspect. 2016;124(5):556-562.
Curation of Data from the Rodent Hershberger Assay
In a similar effort, OECD, NICEATM, and EPA scientists collaborated to develop a reference database and evaluate an in vitro model to identify chemicals with the potential to interact with the androgen receptor (AR). The AR model is potentially a rapid, cost-effective replacement for the in vivo Hershberger assay (EPA OPPTS 890.1400).
- Browne et al., 2018, describes assembly and curation of a data set of results for the Hershberger and other in vivo assays for AR activity. Ultimately, 49 chemicals were identified with reproducible AR pathway responses confirmed in at least two in vivo rodent studies. These 49 chemicals could be considered reference chemicals useful for validating alternative methods.
- Kleinstreuer et al., 2018, describes use of the reference chemicals identified through the data curation effort to interrogate the performance of a ToxCast/Tox21 AR model based on 11 high-throughput assays. The AR model had 100% positive predictive value for the in vivo response, where chemicals with conclusive AR model results were consistently positive in vivo.