Literature DB >> 15597890

Use of trout liver slices to enhance mechanistic interpretation of estrogen receptor binding for cost-effective prioritization of chemicals within large inventories.

Patricia K Schmieder1, Mark A Tapper, Jeffrey S Denny, Richard C Kolanczyk, Barbara R Sheedy, Tala R Henry, Gilman D Veith.   

Abstract

The cost of testing chemicals as reproductive toxicants precludes the possibility of evaluating large chemical inventories without a robust strategyfor prioritizing chemicals to test. The use of quantitative structure-activity relationships in early hazard identification is a cost-effective prioritization tool, but in the absence of systematic collection of interpretable test data upon which models are formulated, these techniques fall short of their intended use. An approach is presented for narrowing the focus of candidate ED chemicals using two in vitro assays: one optimized to measure the potential of chemicals to bind rainbow trout estrogen receptors (rtER), and a second to enhance interpretation of receptor binding data in a relevant biological system (i.e., fish liver tissue). Results of rtER competitive binding assays for 16 chemicals yielded calculable relative binding affinities (RBA) from 179 to 0.0006% for 13 chemicals and partial or no binding for an additional 3 chemicals. Eleven lower to no affinity chemicals (RBA < 0.1%) were further tested in trout liver slices to measure induction of rtER-dependent vitellogenin (VTG) mRNA in the presence of chemical passive partitioning (from media to multiple hepatocyte layers in the slice) and liver xenobiotic metabolism. VTG induction in slices was observed in a concentration-dependent manner for eight chemicals tested that had produced complete displacement curves in binding assays, including the lowest affinity binder with an RBA of 0.0006%. Two chemicals with only partial binding curves up to their solubility limit did not induce VTG. The monohydroxy metabolite of methoxychlor was the only chemical tested that apparently bound rtER but did not induce VTG mRNA. Data are presented illustrating the utility of the two assays in combination for interpreting the role of metabolism in VTG induction, as well as the sensitivity of the assays for measuring enantiomer selective binding and ER-mediated induction. The combined approach appears particularly useful in interpreting the potential relevance of extremely low affinity chemical binding to fish receptors (RBA = 0.01-0.0001%) within a defined toxicity pathway as a basis for prioritizing within large chemical inventories of environmental concern.

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Year:  2004        PMID: 15597890     DOI: 10.1021/es0495314

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  11 in total

1.  Adverse outcome pathway (AOP) development I: strategies and principles.

Authors:  Daniel L Villeneuve; Doug Crump; Natàlia Garcia-Reyero; Markus Hecker; Thomas H Hutchinson; Carlie A LaLone; Brigitte Landesmann; Teresa Lettieri; Sharon Munn; Malgorzata Nepelska; Mary Ann Ottinger; Lucia Vergauwen; Maurice Whelan
Journal:  Toxicol Sci       Date:  2014-12       Impact factor: 4.849

Review 2.  Putative adverse outcome pathways relevant to neurotoxicity.

Authors:  Anna Bal-Price; Kevin M Crofton; Magdalini Sachana; Timothy J Shafer; Mamta Behl; Anna Forsby; Alan Hargreaves; Brigitte Landesmann; Pamela J Lein; Jochem Louisse; Florianne Monnet-Tschudi; Alicia Paini; Alexandra Rolaki; André Schrattenholz; Cristina Suñol; Christoph van Thriel; Maurice Whelan; Ellen Fritsche
Journal:  Crit Rev Toxicol       Date:  2015-01       Impact factor: 5.635

3.  Avoiding False Positives and Optimizing Identification of True Negatives in Estrogen Receptor Binding and Agonist/Antagonist Assays.

Authors:  Michael W Hornung; Mark A Tapper; Jeffrey S Denny; Barbara R Sheedy; Raymond Erickson; Taylor J Sulerud; Richard C Kolanczyk; Patricia K Schmieder
Journal:  Appl In Vitro Toxicol       Date:  2017-06-01

4.  Summary of the development the US Environmental Protection Agency's Medaka Extended One Generation Reproduction Test (MEOGRT) using data from 9 multigenerational medaka tests.

Authors:  Kevin Flynn; Doug Lothenbach; Frank Whiteman; Dean Hammermeister; Leslie W Touart; Joe Swintek; Norihisa Tatarazako; Yuta Onishi; Taisen Iguchi; Rodney Johnson
Journal:  Environ Toxicol Chem       Date:  2017-08-30       Impact factor: 3.742

5.  Comparison of the sensitivity of four native Canadian fish species to 17-α ethinylestradiol, using an in vitro liver explant assay.

Authors:  Shawn C Beitel; Jon A Doering; Bryanna K Eisner; Markus Hecker
Journal:  Environ Sci Pollut Res Int       Date:  2015-08-26       Impact factor: 4.223

6.  Metabolism of Diazinon in Rainbow Trout Liver Slices.

Authors:  Mark A Tapper; Jose A Serrano; Patricia K Schmieder; Dean E Hammermeister; Richard C Kolanczyk
Journal:  Appl In Vitro Toxicol       Date:  2018-03-01

7.  Predicting Fecundity of Fathead Minnows (Pimephales promelas) Exposed to Endocrine-Disrupting Chemicals Using a MATLAB®-Based Model of Oocyte Growth Dynamics.

Authors:  Karen H Watanabe; Michael Mayo; Kathleen M Jensen; Daniel L Villeneuve; Gerald T Ankley; Edward J Perkins
Journal:  PLoS One       Date:  2016-01-12       Impact factor: 3.240

8.  In vitro metabolism assessment of thiacloprid in rainbow trout and rat by LC-UV and high resolution-mass spectrometry.

Authors:  Jose Serrano; Richard C Kolanczyk; Brett R Blackwell; Barbara R Sheedy; Mark A Tapper
Journal:  Xenobiotica       Date:  2021-03-15       Impact factor: 1.997

9.  Bridging the gap from screening assays to estrogenic effects in fish: potential roles of multiple estrogen receptor subtypes.

Authors:  Erin E Yost; Crystal Lee Pow; Mary Beth Hawkins; Seth W Kullman
Journal:  Environ Sci Technol       Date:  2014-04-23       Impact factor: 9.028

Review 10.  New developments in the evolution and application of the WHO/IPCS framework on mode of action/species concordance analysis.

Authors:  M E Meek; A Boobis; I Cote; V Dellarco; G Fotakis; S Munn; J Seed; C Vickers
Journal:  J Appl Toxicol       Date:  2013-10-25       Impact factor: 3.446

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