Literature DB >> 18700808

Measurement and modeling of the toxicity of binary mixtures in the nematode caenorhabditis elegans--a test of independent action.

Heather L Martin1, Claus Svendsen, Lindsay J Lister, Jose L Gomez-Eyles, David J Spurgeon.   

Abstract

Ecological risk assessments must increasingly consider the effects of chemical mixtures on the environment as anthropogenic pollution continues to grow in complexity. Yet testing every possible mixture combination is impractical and unfeasible; thus, there is an urgent need for models that can accurately predict mixture toxicity from single-compound data. Currently, two models are frequently used to predict mixture toxicity from single-compound data: Concentration addition and independent action (IA). The accuracy of the predictions generated by these models is currently debated and needs to be resolved before their use in risk assessments can be fully justified. The present study addresses this issue by determining whether the IA model adequately described the toxicity of binary mixtures of five pesticides and other environmental contaminants (cadmium, chlorpyrifos, diuron, nickel, and prochloraz) each with dissimilar modes of action on the reproduction of the nematode Caenorhabditis elegans. In three out of 10 cases, the IA model failed to describe mixture toxicity adequately with significant or antagonism being observed. In a further three cases, there was an indication of synergy, antagonism, and effect-level-dependent deviations, respectively, but these were not statistically significant. The extent of the significant deviations that were found varied, but all were such that the predicted percentage effect seen on reproductive output would have been wrong by 18 to 35% (i.e., the effect concentration expected to cause a 50% effect led to an 85% effect). The presence of such a high number and variety of deviations has important implications for the use of existing mixture toxicity models for risk assessments, especially where all or part of the deviation is synergistic.

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Year:  2009        PMID: 18700808     DOI: 10.1897/07-215.1

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   3.742


  9 in total

1.  A metabolomics based test of independent action and concentration addition using the earthworm Lumbricus rubellus.

Authors:  A J Baylay; D J Spurgeon; C Svendsen; J L Griffin; Suresh C Swain; Stephen R Sturzenbaum; O A H Jones
Journal:  Ecotoxicology       Date:  2012-04-04       Impact factor: 2.823

2.  Ecotoxicological evaluation of propranolol hydrochloride and losartan potassium to Lemna minor L. (1753) individually and in binary mixtures.

Authors:  Aline A Godoy; Fábio Kummrow; Paulo Augusto Z Pamplin
Journal:  Ecotoxicology       Date:  2015-04-07       Impact factor: 2.823

3.  Linear regression model for predicting interactive mixture toxicity of pesticide and ionic liquid.

Authors:  Li-Tang Qin; Jie Wu; Ling-Yun Mo; Hong-Hu Zeng; Yan-Peng Liang
Journal:  Environ Sci Pollut Res Int       Date:  2015-05-02       Impact factor: 4.223

4.  The joint toxicity effect of five antibiotics and dibutyl phthalate to luminescent bacteria (Vibrio fischeri).

Authors:  Sheng Wei; Fenghe Wang; Yajun Chen; Tao Lan; Shengtian Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2018-07-10       Impact factor: 4.223

5.  A test of the additivity of acute toxicity of binary-metal mixtures of ni with Cd, Cu, and Zn to Daphnia magna, using the inflection point of the concentration-response curves.

Authors:  Elizabeth M Traudt; James F Ranville; Samantha A Smith; Joseph S Meyer
Journal:  Environ Toxicol Chem       Date:  2016-05-03       Impact factor: 3.742

6.  Acute Toxicity of Ternary Cd-Cu-Ni and Cd-Ni-Zn Mixtures to Daphnia magna: Dominant Metal Pairs Change along a Concentration Gradient.

Authors:  Elizabeth M Traudt; James F Ranville; Joseph S Meyer
Journal:  Environ Sci Technol       Date:  2017-04-05       Impact factor: 9.028

7.  Computational Modeling of Mixture Toxicity.

Authors:  Mainak Chatterjee; Kunal Roy
Journal:  Methods Mol Biol       Date:  2022

8.  Genome-wide gene expression analysis in response to organophosphorus pesticide chlorpyrifos and diazinon in C. elegans.

Authors:  Ana Viñuela; L Basten Snoek; Joost A G Riksen; Jan E Kammenga
Journal:  PLoS One       Date:  2010-08-16       Impact factor: 3.240

9.  Gene expression modifications by temperature-toxicants interactions in Caenorhabditis elegans.

Authors:  Ana Viñuela; L Basten Snoek; Joost A G Riksen; Jan E Kammenga
Journal:  PLoS One       Date:  2011-09-09       Impact factor: 3.240

  9 in total

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