Literature DB >> 31386814

Quantitative Response-Response Relationships Linking Aromatase Inhibition to Decreased Fecundity are Conserved Across Three Fishes with Asynchronous Oocyte Development.

Jon A Doering1,2, Daniel L Villeneuve1, Shane T Poole1, Brett R Blackwell1, Kathleen M Jensen1, Michael D Kahl1, Ashley R Kittelson3, David J Feifarek1, Charlene B Tilton3, Carlie A LaLone1, Gerald T Ankley1.   

Abstract

Quantitative adverse outcome pathways (qAOPs) describe quantitative response-response relationships that can predict the probability or severity of an adverse outcome for a given magnitude of chemical interaction with a molecular initiating event. However, the taxonomic domain of applicability for these predictions is largely untested. The present study began defining this applicability for a previously described qAOP for aromatase inhibition leading to decreased fecundity developed using data from fathead minnow (Pimephales promelas). This qAOP includes quantitative response-response relationships describing plasma 17β-estradiol (E2) as a function of plasma fadrozole, plasma vitellogenin (VTG) as a function of plasma E2, and fecundity as a function of plasma VTG. These quantitative response-response relationships simulated plasma E2, plasma VTG, and fecundity measured in female zebrafish (Danio rerio) exposed to fadrozole for 21 days but not these responses measured in female Japanese medaka (Oryzias latipes). However, Japanese medaka had different basal levels of plasma E2, plasma VTG, and fecundity. Normalizing basal levels of each measurement to equal those of female fathead minnow enabled the relationships to accurately simulate plasma E2, plasma VTG, and fecundity measured in female Japanese medaka. This suggests that these quantitative response-response relationships are conserved across these three fishes when considering relative change rather than absolute measurements. The present study represents an early step toward defining the appropriate taxonomic domain of applicability and extending the regulatory applications of this qAOP.

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Year:  2019        PMID: 31386814     DOI: 10.1021/acs.est.9b02606

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


  7 in total

1.  The Eco-Exposome Concept: Supporting an Integrated Assessment of Mixtures of Environmental Chemicals.

Authors:  Stefan Scholz; John W Nichols; Beate I Escher; Gerald T Ankley; Rolf Altenburger; Brett Blackwell; Werner Brack; Lawrence Burkhard; Timothy W Collette; Jon A Doering; Drew Ekman; Kellie Fay; Fabian Fischer; Jörg Hackermüller; Joel C Hoffman; Chih Lai; David Leuthold; Dalma Martinovic-Weigelt; Thorsten Reemtsma; Nathan Pollesch; Anthony Schroeder; Gerrit Schüürmann; Martin von Bergen
Journal:  Environ Toxicol Chem       Date:  2022-01       Impact factor: 4.218

2.  Simultaneous determination of a suite of endogenous steroids by LC-APPI-MS: Application to the identification of endocrine disruptors in aquatic toxicology.

Authors:  Brett R Blackwell; Gerald T Ankley
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2020-12-24       Impact factor: 3.205

3.  Assessing effects of aromatase inhibition on fishes with group-synchronous oocyte development using western mosquitofish (Gambusia affinis) as a model.

Authors:  Jon A Doering; Daniel L Villeneuve; Charlene B Tilton; Ashley R Kittelson; Brett R Blackwell; Michael D Kahl; Kathleen M Jensen; Shane T Poole; Jenna E Cavallin; Alexander R Cole; Kendra N Dean; Carlie A LaLone; Gerald T Ankley
Journal:  Aquat Toxicol       Date:  2021-01-05       Impact factor: 5.202

4.  Case Study in 21st Century Ecotoxicology: Using In Vitro Aromatase Inhibition Data to Predict Short-Term In Vivo Responses in Adult Female Fish.

Authors:  Daniel L Villeneuve; Brett R Blackwell; Jenna E Cavallin; Wan-Yun Cheng; David J Feifarek; Kathleen M Jensen; Michael W Kahl; Rebecca Y Milsk; Shane T Poole; Eric C Randolph; Travis W Saari; Gerald T Ankley
Journal:  Environ Toxicol Chem       Date:  2021-03-10       Impact factor: 4.218

Review 5.  Quantitative adverse outcome pathway (qAOP) models for toxicity prediction.

Authors:  Nicoleta Spinu; Mark T D Cronin; Steven J Enoch; Judith C Madden; Andrew P Worth
Journal:  Arch Toxicol       Date:  2020-05-18       Impact factor: 5.153

6.  From Qualitative to Quantitative AOP: A Case Study of Neurodegeneration.

Authors:  Dennis Sinitsyn; Natàlia Garcia-Reyero; Karen H Watanabe
Journal:  Front Toxicol       Date:  2022-03-30

7.  Adverse Outcome Pathway Network-Based Assessment of the Interactive Effects of an Androgen Receptor Agonist and an Aromatase Inhibitor on Fish Endocrine Function.

Authors:  Gerald T Ankley; Brett R Blackwell; Jenna E Cavallin; Jon A Doering; David J Feifarek; Kathleen M Jensen; Michael D Kahl; Carlie A LaLone; Shane T Poole; Eric C Randolph; Travis W Saari; Daniel L Villeneuve
Journal:  Environ Toxicol Chem       Date:  2020-02-21       Impact factor: 4.218

  7 in total

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