Predictive analysis using chemical-gene interaction networks consistent with observed endocrine activity and mutagenicity of U.S. streams
Environmental Science & Technology
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Abstract
In a recent U.S. Geological Survey/U.S. Environmental Protection Agency study assessing >700 organic compounds in 38 streams, in vitro assays indicated generally low estrogen, androgen, and glucocorticoid receptor activities, but identified 13 surface waters with 17β estradiol equivalent (E2Eq) activities greater than the 1 ng/L level of concern for feminization of male fish. Among the 36 samples assayed for mutagenicity in the Salmonella bioassay (reported here), 25% were considered mutagenic (statistically significant slope and at least a two-fold increase in revertants/plate). Endocrine and mutagenic activities of the water samples were well correlated with each other and with the total number and cumulative concentrations of detected chemical contaminants. To test the predictive utility of knowledgebase-leveraging approaches, site-specific predicted chemical-gene (pCGA) and predicted analogous pathway-linked (pPLA) association networks identified in the Comparative Toxicogenomics Database were compared with observed endocrine/mutagenic bioactivities. We evaluated pCGA/pPLA patterns among sites by cluster analysis and principal component analysis and grouped the pPLA into broad mode-of-action classes. Measured E2Eq and mutagenic activities correlated well with predicted pathways. The pPLA analysis also revealed correlations with signaling, metabolic, and regulatory groups, suggesting that other effects pathways may be associated with chemical contaminants in these waters and indicating the need for broader bioassay coverage to assess potential adverse impacts.
Suggested Citation
Berninger, J.P., DeMarini, D.M., Warren, S.H., Simmons, J.E., Wilson, V.S., Conley, J.M., Armstrong, M.D., Kolpin, D., Kuivila, K., Reilly, T.J., Romanok, K., Villeneuve, D.L., Bradley, P., and Iwanowicz, L., 2019, Predictive analysis using chemical-gene interaction networks consistent with observed endocrine activity and mutagenicity of U.S. streams: Environmental Science & Technology, v. 53, no. 15, p. 8611-8620, https://doi.org/10.1021/acs.est.9b02990.
ISSN: 1520-5851 (online)
Study Area
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Predictive analysis using chemical-gene interaction networks consistent with observed endocrine activity and mutagenicity of U.S. streams |
| Series title | Environmental Science & Technology |
| DOI | 10.1021/acs.est.9b02990 |
| Volume | 53 |
| Issue | 15 |
| Publication Date | July 09, 2019 |
| Year Published | 2019 |
| Language | English |
| Publisher | American Chemical Society |
| Contributing office(s) | Columbia Environmental Research Center, Leetown Science Center, New Jersey Water Science Center, Toxic Substances Hydrology Program, South Atlantic Water Science Center |
| Description | 10 p. |
| First page | 8611 |
| Last page | 8620 |
| Country | United States |