Literature DB >> 24055644

Mixture effects at very low doses with combinations of anti-androgenic pesticides, antioxidants, industrial pollutant and chemicals used in personal care products.

Frances Orton1, Sibylle Ermler1, Subramaniam Kugathas1, Erika Rosivatz2, Martin Scholze1, Andreas Kortenkamp3.   

Abstract

Many xenobiotics have been identified as in vitro androgen receptor (AR) antagonists, but information about their ability to produce combined effects at low concentrations is missing. Such data can reveal whether joint effects at the receptor are induced at low levels and may support the prioritisation of in vivo evaluations and provide orientations for the grouping of anti-androgens in cumulative risk assessment. Combinations of 30 AR antagonists from a wide range of sources and exposure routes (pesticides, antioxidants, parabens, UV-filters, synthetic musks, bisphenol-A, benzo(a)pyrene, perfluorooctane sulfonate and pentabromodiphenyl ether) were tested using a reporter gene assay (MDA-kb2). Chemicals were combined at three mixture ratios, equivalent to single components' effect concentrations that inhibit the action of dihydrotesterone by 1%, 10% or 20%. Concentration addition (CA) and independent action were used to calculate additivity expectations. We observed complete suppression of dihydrotestosterone effects when chemicals were combined at individual concentrations eliciting 1%, 10% or 20% AR antagonistic effect. Due to the large number of mixture components, the combined AR antagonistic effects occurred at very low concentrations of individual mixture components. CA slightly underestimated the combined effects at all mixture ratios. In conclusion, large numbers of AR antagonists from a wide variety of sources and exposure routes have the ability of acting together at the receptor to produce joint effects at very low concentrations. Significant mixture effects are observed when chemicals are combined at concentrations that individually do not induce observable AR antagonistic effects. Cumulative risk assessment for AR antagonists should apply grouping criteria based on effects where data are available, rather than on criteria of chemical similarity.
Copyright © 2013 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  AR antagonism; Anti-androgen; Concentration addition; Endocrine disruption; Mixture

Mesh:

Substances:

Year:  2013        PMID: 24055644     DOI: 10.1016/j.taap.2013.09.008

Source DB:  PubMed          Journal:  Toxicol Appl Pharmacol        ISSN: 0041-008X            Impact factor:   4.219


  26 in total

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Journal:  Environ Sci Pollut Res Int       Date:  2015-09-24       Impact factor: 4.223

2.  Expanded Target-Chemical Analysis Reveals Extensive Mixed-Organic-Contaminant Exposure in U.S. Streams.

Authors:  Paul M Bradley; Celeste A Journey; Kristin M Romanok; Larry B Barber; Herbert T Buxton; William T Foreman; Edward T Furlong; Susan T Glassmeyer; Michelle L Hladik; Luke R Iwanowicz; Daniel K Jones; Dana W Kolpin; Kathryn M Kuivila; Keith A Loftin; Marc A Mills; Michael T Meyer; James L Orlando; Timothy J Reilly; Kelly L Smalling; Daniel L Villeneuve
Journal:  Environ Sci Technol       Date:  2017-04-12       Impact factor: 9.028

3.  Chemical Mixtures Isolated from House Dust Disrupt Thyroid Receptor β Signaling.

Authors:  Erin M Kollitz; Christopher D Kassotis; Kate Hoffman; P Lee Ferguson; Julie Ann Sosa; Heather M Stapleton
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4.  Male reproductive disorders, diseases, and costs of exposure to endocrine-disrupting chemicals in the European Union.

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5.  Generalized Concentration Addition Model Predicts Glucocorticoid Activity Bioassay Responses to Environmentally Detected Receptor-Ligand Mixtures.

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Review 6.  Cumulative effects of antiandrogenic chemical mixtures and their relevance to human health risk assessment.

Authors:  Kembra L Howdeshell; Andrew K Hotchkiss; L Earl Gray
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7.  Reconnaissance of Mixed Organic and Inorganic Chemicals in Private and Public Supply Tapwaters at Selected Residential and Workplace Sites in the United States.

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Journal:  Environ Sci Technol       Date:  2018-11-21       Impact factor: 9.028

8.  Censoring Trace-Level Environmental Data: Statistical Analysis Considerations to Limit Bias.

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Journal:  Environ Sci Technol       Date:  2021-02-24       Impact factor: 9.028

9.  An in silico approach to study the interaction of BHA with selected steroid hormone receptors and investigating it's agonistic and antagonistic properties.

Authors:  Subin Balachandran; R N Binitha
Journal:  In Silico Pharmacol       Date:  2021-01-28

10.  Novel stably transfected human reporter cell line AIZ-AR as a tool for an assessment of human androgen receptor transcriptional activity.

Authors:  Iveta Bartonkova; Aneta Novotna; Zdenek Dvorak
Journal:  PLoS One       Date:  2015-03-26       Impact factor: 3.240

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