Literature DB >> 19850324

A review of DEB theory in assessing toxic effects of mixtures.

Jan Baas1, Tjalling Jager, Bas Kooijman.   

Abstract

In this manuscript we review the use of mechanistic models to interpret effects of mixtures of compounds within the framework of the Dynamic Energy Budget (DEB) theory. Within this approach the effect of a mixture is built up from the effects of the individual components making up the mixture. Understanding effects of mixtures is essential as it is impossible to assess effects of all possible mixtures experimentally. In contrast to the more classical way of interpreting effects of mixtures with concentration addition or effect addition models, DEB theory offers a single consistent framework to understand effects of mixtures on growth, reproduction and survival in an integrated, way. It systematically incorporates exposure time and biology of the organisms, including the natural links between the processes of feeding, maintenance, growth, development and reproduction. We also give directions for an experimental setup to interpret the results within the DEB framework. The DEB framework was successfully applied to assess effects of complex mixtures on survival and binary mixtures on sub-lethal endpoints. It gives the possibility to explain observed interactions by the underlying biological mechanisms or pinpoint interactions. We expect this approach to help in identifying key mechanisms and enable to focus further research in cooperation with modelers and experimentalists to improve our understanding of the mechanisms underlying mixture toxicity. Copyright 2009 Elsevier B.V. All rights reserved.

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Year:  2009        PMID: 19850324     DOI: 10.1016/j.scitotenv.2009.09.037

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  9 in total

Review 1.  Interactions between oil-spill pollutants and natural stressors can compound ecotoxicological effects.

Authors:  Andrew Whitehead
Journal:  Integr Comp Biol       Date:  2013-07-10       Impact factor: 3.326

2.  Using energy budgets to combine ecology and toxicology in a mammalian sentinel species.

Authors:  Jean-Pierre W Desforges; Christian Sonne; Rune Dietz
Journal:  Sci Rep       Date:  2017-04-07       Impact factor: 4.379

3.  Physiological performance of native and invasive crayfish species in a changing environment: insights from Dynamic Energy Budget models.

Authors:  Nina Marn; Sandra Hudina; Ines Haberle; Ana Dobrović; Tin Klanjšček
Journal:  Conserv Physiol       Date:  2022-05-31       Impact factor: 3.252

4.  Sublethal effects of imidacloprid on the predatory seven-spot ladybird beetle Coccinella septempunctata.

Authors:  Da Xiao; Jing Zhao; Xiaojun Guo; Hongying Chen; Mengmeng Qu; Weigang Zhai; Nicolas Desneux; Antonio Biondi; Fan Zhang; Su Wang
Journal:  Ecotoxicology       Date:  2016-09-26       Impact factor: 2.823

5.  Genotoxic effect of a binary mixture of dicamba- and glyphosate-based commercial herbicide formulations on Rhinella arenarum (Hensel, 1867) (Anura, Bufonidae) late-stage larvae.

Authors:  Sonia Soloneski; Celeste Ruiz de Arcaute; Marcelo L Larramendy
Journal:  Environ Sci Pollut Res Int       Date:  2016-06-01       Impact factor: 4.223

6.  Variable Temperature Stress in the Nematode Caenorhabditis elegans (Maupas) and Its Implications for Sensitivity to an Additional Chemical Stressor.

Authors:  Nina Cedergreen; Nils Jakob Nørhave; Claus Svendsen; David J Spurgeon
Journal:  PLoS One       Date:  2016-01-19       Impact factor: 3.240

7.  Predicting Mixture Effects over Time with Toxicokinetic-Toxicodynamic Models (GUTS): Assumptions, Experimental Testing, and Predictive Power.

Authors:  Sylvain Bart; Tjalling Jager; Alex Robinson; Elma Lahive; David J Spurgeon; Roman Ashauer
Journal:  Environ Sci Technol       Date:  2021-01-26       Impact factor: 9.028

8.  The application and limitations of exposure multiplication factors in sublethal effect modelling.

Authors:  Neil Sherborne; Tjalling Jager; Benoit Goussen; Marie Trijau; Roman Ashauer
Journal:  Sci Rep       Date:  2022-04-11       Impact factor: 4.379

Review 9.  In silico toxicology: computational methods for the prediction of chemical toxicity.

Authors:  Arwa B Raies; Vladimir B Bajic
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2016-01-06
  9 in total

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