Literature DB >> 23492810

Developing predictive approaches to characterize adaptive responses of the reproductive endocrine axis to aromatase inhibition: I. Data generation in a small fish model.

Daniel L Villeneuve1, Miyuki Breen, David C Bencic, Jenna E Cavallin, Kathleen M Jensen, Elizabeth A Makynen, Linnea M Thomas, Leah C Wehmas, Rory B Conolly, Gerald T Ankley.   

Abstract

Adaptive or compensatory responses to chemical exposure can significantly influence in vivo concentration-duration-response relationships. This study provided data to support development of a computational dynamic model of the hypothalamic-pituitary-gonadal axis of a model vertebrate and its response to aromatase inhibitors as a class of endocrine active chemicals. Fathead minnows (Pimephales promelas) were either exposed to the aromatase inhibitor fadrozole (0.5 or 30 μg/l) continuously for 1, 8, 12, 16, 20, 24, or 28 days or exposed for 8 days and then held in control water (no fadrozole) for an additional 4, 8, 12, 16, or 20 days. The time course of effects on ovarian steroid production, circulating 17β-estradiol (E2) and vitellogenin (VTG) concentrations, and expression of steroidogenesis-related genes in the ovary was measured. Exposure to 30 μg fadrozole/l significantly reduced plasma E2 and VTG concentrations after just 1 day and those effects persisted throughout 28 days of exposure. In contrast, ex vivo E2 production was similar to that of controls on day 8-28 of exposure, whereas transcripts coding for aromatase and follicle-stimulating hormone receptor were elevated, suggesting a compensatory response. Following cessation of fadrozole exposure, ex vivo E2 and plasma E2 concentrations exceeded and then recovered to control levels, but plasma VTG concentrations did not, even after 20 days of depuration. Collectively these data provide several new insights into the nature and time course of adaptive responses to an aromatase inhibitor that support development of a computational model (see companion article).

Entities:  

Keywords:  alternative species; compensation; endocrine disruption; reproduction; steroidogenesis; time course.

Mesh:

Substances:

Year:  2013        PMID: 23492810     DOI: 10.1093/toxsci/kft068

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  6 in total

1.  Rapid effects of the aromatase inhibitor fadrozole on steroid production and gene expression in the ovary of female fathead minnows (Pimephales promelas).

Authors:  Anthony L Schroeder; Gerald T Ankley; Tanwir Habib; Natalia Garcia-Reyero; Barbara L Escalon; Kathleen M Jensen; Michael D Kahl; Elizabeth J Durhan; Elizabeth A Makynen; Jenna E Cavallin; Dalma Martinovic-Weigelt; Edward J Perkins; Daniel L Villeneuve
Journal:  Gen Comp Endocrinol       Date:  2017-07-21       Impact factor: 2.822

2.  Quantitative Adverse Outcome Pathways and Their Application to Predictive Toxicology.

Authors:  Rory B Conolly; Gerald T Ankley; WanYun Cheng; Michael L Mayo; David H Miller; Edward J Perkins; Daniel L Villeneuve; Karen H Watanabe
Journal:  Environ Sci Technol       Date:  2017-04-07       Impact factor: 9.028

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

5.  Towards a qAOP framework for predictive toxicology - Linking data to decisions.

Authors:  Alicia Paini; Ivana Campia; Mark T D Cronin; David Asturiol; Lidia Ceriani; Thomas E Exner; Wang Gao; Caroline Gomes; Johannes Kruisselbrink; Marvin Martens; M E Bette Meek; David Pamies; Julia Pletz; Stefan Scholz; Andreas Schüttler; Nicoleta Spînu; Daniel L Villeneuve; Clemens Wittwehr; Andrew Worth; Mirjam Luijten
Journal:  Comput Toxicol       Date:  2022-02

6.  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

  6 in total

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