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Predictive endocrine testing in the 21st century using in vitro assays of estrogen receptor signaling responses.

Publication ,  Journal Article
Rotroff, DM; Martin, MT; Dix, DJ; Filer, DL; Houck, KA; Knudsen, TB; Sipes, NS; Reif, DM; Xia, M; Huang, R; Judson, RS
Published in: Environmental science & technology
January 2014

Thousands of environmental chemicals are subject to regulatory review for their potential to be endocrine disruptors (ED). In vitro high-throughput screening (HTS) assays have emerged as a potential tool for prioritizing chemicals for ED-related whole-animal tests. In this study, 1814 chemicals including pesticide active and inert ingredients, industrial chemicals, food additives, and pharmaceuticals were evaluated in a panel of 13 in vitro HTS assays. The panel of in vitro assays interrogated multiple end points related to estrogen receptor (ER) signaling, namely binding, agonist, antagonist, and cell growth responses. The results from the in vitro assays were used to create an ER Interaction Score. For 36 reference chemicals, an ER Interaction Score >0 showed 100% sensitivity and 87.5% specificity for classifying potential ER activity. The magnitude of the ER Interaction Score was significantly related to the potency classification of the reference chemicals (p < 0.0001). ERα/ERβ selectivity was also evaluated, but relatively few chemicals showed significant selectivity for a specific isoform. When applied to a broader set of chemicals with in vivo uterotrophic data, the ER Interaction Scores showed 91% sensitivity and 65% specificity. Overall, this study provides a novel method for combining in vitro concentration response data from multiple assays and, when applied to a large set of ER data, accurately predicted estrogenic responses and demonstrated its utility for chemical prioritization.

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Published In

Environmental science & technology

DOI

EISSN

1520-5851

ISSN

0013-936X

Publication Date

January 2014

Volume

48

Issue

15

Start / End Page

8706 / 8716

Related Subject Headings

  • Signal Transduction
  • Pesticides
  • Models, Chemical
  • MCF-7 Cells
  • Humans
  • High-Throughput Screening Assays
  • Estrogens
  • Estrogen Receptor beta
  • Estrogen Receptor alpha
  • Estrogen Antagonists
 

Citation

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Rotroff, D. M., Martin, M. T., Dix, D. J., Filer, D. L., Houck, K. A., Knudsen, T. B., … Judson, R. S. (2014). Predictive endocrine testing in the 21st century using in vitro assays of estrogen receptor signaling responses. Environmental Science & Technology, 48(15), 8706–8716. https://doi.org/10.1021/es502676e
Rotroff, Daniel M., Matt T. Martin, David J. Dix, Dayne L. Filer, Keith A. Houck, Thomas B. Knudsen, Nisha S. Sipes, et al. “Predictive endocrine testing in the 21st century using in vitro assays of estrogen receptor signaling responses.Environmental Science & Technology 48, no. 15 (January 2014): 8706–16. https://doi.org/10.1021/es502676e.
Rotroff DM, Martin MT, Dix DJ, Filer DL, Houck KA, Knudsen TB, et al. Predictive endocrine testing in the 21st century using in vitro assays of estrogen receptor signaling responses. Environmental science & technology. 2014 Jan;48(15):8706–16.
Rotroff, Daniel M., et al. “Predictive endocrine testing in the 21st century using in vitro assays of estrogen receptor signaling responses.Environmental Science & Technology, vol. 48, no. 15, Jan. 2014, pp. 8706–16. Epmc, doi:10.1021/es502676e.
Rotroff DM, Martin MT, Dix DJ, Filer DL, Houck KA, Knudsen TB, Sipes NS, Reif DM, Xia M, Huang R, Judson RS. Predictive endocrine testing in the 21st century using in vitro assays of estrogen receptor signaling responses. Environmental science & technology. 2014 Jan;48(15):8706–8716.
Journal cover image

Published In

Environmental science & technology

DOI

EISSN

1520-5851

ISSN

0013-936X

Publication Date

January 2014

Volume

48

Issue

15

Start / End Page

8706 / 8716

Related Subject Headings

  • Signal Transduction
  • Pesticides
  • Models, Chemical
  • MCF-7 Cells
  • Humans
  • High-Throughput Screening Assays
  • Estrogens
  • Estrogen Receptor beta
  • Estrogen Receptor alpha
  • Estrogen Antagonists