Literature DB >> 20980066

Assessing combined toxicity of estrogen receptor agonists in a primary culture of rainbow trout (Oncorhynchus mykiss) hepatocytes.

Karina Petersen1, Knut Erik Tollefsen.   

Abstract

The presence of highly complex mixtures of chemicals in the environment challenges our ability to assess single chemical effects and the interaction that occurs with cellular receptor targets and regulation of endocrine processes. In this study concentration addition (CA) and independent action (IA) prediction models were used to assess the combined toxicity of mixtures of environmental relevant estrogen receptor (ER) agonists (hormones and anthropogenic pollutants) in a primary culture of rainbow trout (Oncorhynchus mykiss) hepatocytes using the ER-mediated production of vitellogenin (Vtg) as a biological marker (biomarker) for estrogenicity. Nine of the eleven tested chemicals induced the production of Vtg and the parameters from the fitted concentration-response curves were used to model four mixtures containing four (17β-estradiol, estrone, estriol and diethylstilbestrol), five (musk ketone, 4-tert-octylphenol, bisphenol A, o,p'-DDT and dibenzothiophene), seven (17β-estradiol, estrone, estriol, diethylstilbestrol, 4-tert-octylphenol, bisphenol A and o,p'-DDT) and nine compounds (17β-estradiol, estrone, estriol, diethylstilbestrol, musk ketone, 4-tert-octylphenol, bisphenol A, o,p'-DDT and dibenzothiophene). The CA and IA prediction model proved to be a good estimation for the combined effect of mixtures of ER agonists at low relative mixture concentration (e.g. relative to the maximum mixture concentrations used), but a deviation from the prediction models was observed when exposing hepatocytes to high relative mixture concentrations. The CA and IA prediction models' ability to predict the combined estrogenic effect of complex mixtures, especially in the low concentration-response range, is of ecological relevance since organisms in the environment generally encounter low concentrations of chemicals from a wide array of chemical groups that may not elicit estrogenic effects on their own.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20980066     DOI: 10.1016/j.aquatox.2010.09.018

Source DB:  PubMed          Journal:  Aquat Toxicol        ISSN: 0166-445X            Impact factor:   4.964


  5 in total

1.  Re-evaluating the Significance of Estrone as an Environmental Estrogen.

Authors:  Gerald T Ankley; David Feifarek; Brett Blackwell; Jenna E Cavallin; Kathleen M Jensen; Michael D Kahl; Shane Poole; Eric Randolph; Travis Saari; Daniel L Villeneuve
Journal:  Environ Sci Technol       Date:  2017-04-07       Impact factor: 9.028

2.  Conversion of Estrone to 17β-Estradiol: A Potential Confounding Factor in Assessing Risks of Environmental Estrogens to Fish.

Authors:  Mark A Tapper; Richard C Kolanczyk; Carlie A LaLone; Jeffrey S Denny; Gerald T Ankley
Journal:  Environ Toxicol Chem       Date:  2020-09-01       Impact factor: 4.218

3.  Analysis of individual and combined effects of ochratoxin A and zearalenone on HepG2 and KK-1 cells with mathematical models.

Authors:  Yuzhe Li; Boyang Zhang; Xiaoyun He; Wen-Hsing Cheng; Wentao Xu; Yunbo Luo; Rui Liang; Haoshu Luo; Kunlun Huang
Journal:  Toxins (Basel)       Date:  2014-03-26       Impact factor: 4.546

4.  Exploring the endocrine activity of air pollutants associated with unconventional oil and gas extraction.

Authors:  Ashley L Bolden; Kim Schultz; Katherine E Pelch; Carol F Kwiatkowski
Journal:  Environ Health       Date:  2018-03-21       Impact factor: 5.984

5.  Mixture Concentration-Response Modeling Reveals Antagonistic Effects of Estradiol and Genistein in Combination on Brain Aromatase Gene (cyp19a1b) in Zebrafish.

Authors:  Nathalie Hinfray; Cleo Tebby; Benjamin Piccini; Gaelle Bourgine; Sélim Aït-Aïssa; Jean-Marc Porcher; Farzad Pakdel; François Brion
Journal:  Int J Mol Sci       Date:  2018-04-01       Impact factor: 5.923

  5 in total

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