The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Endocrine Profiling and Prioritization of Environmental Chemicals Using ToxCast Data
Open accessAbstract
BACKGROUND: The prioritization of chemicals for toxicity testing is a primary goal of the U.S. Environmental Protection Agency (EPA) ToxCast™ program. Phase I of ToxCast used a battery of 467 in vitro, high-throughput screening assays to assess 309 environmental chemicals. One important mode of action leading to toxicity is endocrine disruption, and the U.S. EPA's Endocrine Disruptor Screening Program (EDSP) has been charged with screening pesticide chemicals and environmental contaminants for their potential to affect the endocrine systems of humans and wildlife. OBJECTIVE: The goal of this study was to develop a flexible method to facilitate the rational prioritization of chemicals for further evaluation and demonstrate its application as a candidate decision-support tool for EDSP. METHODS: Focusing on estrogen, androgen, and thyroid pathways, we defined putative endocrine profiles and derived a relative rank or score for the entire ToxCast library of 309 unique chemicals. Effects on other nuclear receptors and xenobiotic metabolizing enzymes were also considered, as were pertinent chemical descriptors and pathways relevant to endocrine-mediated signaling. RESULTS: Combining multiple data sources into an overall, weight-of-evidence Toxicological Priority Index (ToxPi) score for prioritizing further chemical testing resulted in more robust conclusions than any single data source taken alone. CONCLUSIONS: Incorporating data from in vitro assays, chemical descriptors, and biological pathways in this prioritization schema provided a flexible, comprehensive visualization and ranking of each chemical's potential endocrine activity. Importantly, ToxPi profiles provide a transparent visualization of the relative contribution of all information sources to an overall priority ranking. The method developed here is readily adaptable to diverse chemical prioritization tasks.
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Cellular and Molecular Mechanisms of Pain
Basbaum, A. I., Bautista, D. M., Scherrer, G., & Julius, D. (2009) · Cell · doi:10.1016/j.cell.2009.09.028 · Cited by 4,344
Cited by
Kavlock, R., Chandler, K., Houck, K., Hunter, S., Judson, R., Kleinstreuer, N., Knudsen, T., Martin, M., Padilla, S., Reif, D., et al. (2012) · Chemical Research in Toxicology · doi:10.1021/tx3000939 · Cited by 494
Self-citationWetmore, B. A., Wambaugh, J. F., Ferguson, S. S., Sochaski, M. A., Rotroff, D. M., Freeman, K., Clewell, H. J., Dix, D. J., Andersen, M. E., Houck, K. A., et al. (2012) · Toxicological Sciences · doi:10.1093/toxsci/kfr254 · Cited by 415
Self-citationBisphenol A and its analogues in outdoor and indoor air: Properties, sources and global levels
Vasiljevic, T., & Harner, T. (2021) · Science of The Total Environment · doi:10.1016/j.scitotenv.2021.148013 · Cited by 300
Screening Chemicals for Estrogen Receptor Bioactivity Using a Computational Model
Browne, P., Judson, R. S., Casey, W. M., Kleinstreuer, N. C., & Thomas, R. S. (2015) · Environmental Science & Technology · doi:10.1021/acs.est.5b02641 · Cited by 276
Self-citationMarvel, S. W., To, K., Grimm, F. A., Wright, F. A., Rusyn, I., & Reif, D. M. (2018) · BMC Bioinformatics · doi:10.1186/s12859-018-2089-2 · Cited by 184
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Metadata
- Authors
- Reif, D. M., Martin, M. T., Tan, S. W., Houck, K. A., Judson, R. S., Richard, A. M., Knudsen, T. B., Dix, D. J., & Kavlock, R. J.
- Venue
- Environmental Health Perspectives
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-12
- Volume
- 118
- Issue
- 12
- Pages
- 1714-1720
- ISSN
- 0091-6765 (ISSN-L)
- 1552-9924
- OpenAlex
- W2061611346
- Cited by
- 405
- References
- 1
- FWCI
- 12.64
- Type
- journal article
- Language
- en
- Open access
- gold
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- Reif, D. M., Martin, M. T., Tan, S. W., Houck, K. A., Judson, R. S., Richard, A. M., Knudsen, T. B., Dix, D. J., & Kavlock, R. J. (2010). Endocrine Profiling and Prioritization of Environmental Chemicals Using ToxCast Data. Environmental Health Perspectives. https://doi.org/10.1289/ehp.1002180
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