Literature DB >> 18271647

A review of independent action compared to concentration addition as reference models for mixtures of compounds with different molecular target sites.

Nina Cedergreen1, Anne M Christensen, Anja Kamper, Per Kudsk, Solvejg K Mathiassen, Jens C Streibig, Helle Sørensen.   

Abstract

From a theoretical point of view, it has often been argued that the model of independent action (IA) is the most correct reference model to use for predicting the joint effect of mixtures of chemicals with different molecular target sites. The theory of IA, however, relies on a number of assumptions that are rarely fulfilled in practice. It has even been argued that, theoretically, the concentration addition (CA) model could be just as correct. In the present study, we tested the accuracy of both IA and CA in describing binary dose-response surfaces of chemicals with different molecular targets using statistical software. We compared the two models to determine which best describes data for 158 data sets. The data sets represented 98 different mixtures of, primarily, pesticides and pharmaceuticals tested on one or several of seven test systems containing one of the following: Vibrio fischeri, activated sludge microorganisms, Daphnia magna, Pseudokirchneriella subcapitata, Lemna minor, Tripleurospermum inodorum, or Stellaria media. The analyses showed that approximately 20% of the mixtures were adequately predicted only by IA, 10% were adequately predicted only by CA, and both models could predict the outcome of another 20% of the experiment. Half of the experiments could not be correctly described with either of the two models. When quantifying the maximal difference between modeled synergy or antagonism and the reference model predictions at a 50% effect concentration, neither of the models proved significantly better than the other. Thus, neither model can be selected over the other on the basis of accuracy alone.

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Year:  2008        PMID: 18271647     DOI: 10.1897/07-474.1

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


  38 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.  Pesticide authorization in the EU-environment unprotected?

Authors:  Sebastian Stehle; Ralf Schulz
Journal:  Environ Sci Pollut Res Int       Date:  2015-08-15       Impact factor: 4.223

3.  The relationship between whole effluent toxicity (WET) and chemical-based effluent quality assessment in Vojvodina (Serbia).

Authors:  Ivana Teodorović; Milena Becelić; Ivana Planojević; Ivana Ivancev-Tumbas; Bozo Dalmacija
Journal:  Environ Monit Assess       Date:  2008-10-30       Impact factor: 2.513

4.  Validation of the species sensitivity distribution in retrospective risk assessment of herbicides at the river basin scale-the Scheldt river basin case study.

Authors:  Sona Jesenska; Sabina Nemethova; Ludek Blaha
Journal:  Environ Sci Pollut Res Int       Date:  2013-03-27       Impact factor: 4.223

5.  The binary, ternary and quaternary mixture toxicity of benzo[a]pyrene, arsenic, cadmium and lead in HepG2 cells.

Authors:  Sasikumar Muthusamy; Cheng Peng; Jack C Ng
Journal:  Toxicol Res (Camb)       Date:  2016-02-08       Impact factor: 3.524

6.  Sensitivities of three tropical indigenous freshwater invertebrates to single and mixture exposures of diuron and carbofuran and their commercial formulations.

Authors:  Odete Rocha; Antônio José Gazonato Neto; Júlio César Dos Santos Lima; Emanuela Cristina Freitas; Mariana Miguel; Adrislaine da Silva Mansano; Raquel Aparecida Moreira; Michiel Adriaan Daam
Journal:  Ecotoxicology       Date:  2018-04-20       Impact factor: 2.823

7.  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

8.  Reconnaissance of Mixed Organic and Inorganic Chemicals in Private and Public Supply Tapwaters at Selected Residential and Workplace Sites in the United States.

Authors:  Paul M Bradley; Dana W Kolpin; Kristin M Romanok; Kelly L Smalling; Michael J Focazio; Juliane B Brown; Mary C Cardon; Kurt D Carpenter; Steven R Corsi; Laura A DeCicco; Julie E Dietze; Nicola Evans; Edward T Furlong; Carrie E Givens; James L Gray; Dale W Griffin; Christopher P Higgins; Michelle L Hladik; Luke R Iwanowicz; Celeste A Journey; Kathryn M Kuivila; Jason R Masoner; Carrie A McDonough; Michael T Meyer; James L Orlando; Mark J Strynar; Christopher P Weis; Vickie S Wilson
Journal:  Environ Sci Technol       Date:  2018-11-21       Impact factor: 9.028

9.  Joint action and lethal levels of toluene, ethylbenzene, and xylene on midge (Chironomus plumosus) larvae.

Authors:  Xuefeng Li; Qixing Zhou; Yi Luo; Guang Yang; Tong Zhou
Journal:  Environ Sci Pollut Res Int       Date:  2012-11-28       Impact factor: 4.223

10.  Malaria control insecticide residues in breast milk: the need to consider infant health risks.

Authors:  Hindrik Bouwman; Henrik Kylin
Journal:  Environ Health Perspect       Date:  2009-05-01       Impact factor: 9.031

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