Literature DB >> 17571699

Modeling the effects of binary mixtures on survival in time.

Jan Baas1, Bart P P Van Houte, Cornelis A M Van Gestel, Sebastiaan A L M Kooijman.   

Abstract

In general, effects of mixtures are difficult to describe, and most of the models in use are descriptive in nature and lack a strong mechanistic basis. The aim of this experiment was to develop a process-based model for the interpretation of mixture toxicity measurements, with effects of binary mixtures on survival as a starting point. The survival of Folsomia candida was monitored daily for 21 d during the exposure to six binary mixtures of cadmium, copper, lead, and zinc in a loamy sand soil. The measurements were used to develop a model to describe survival in time. The model consists of two parts: A one-compartment model that describes uptake and elimination of the compounds, and a hazard model describing survival. The model was very successful in describing the data and at finding possible interactions. The mixture of copper and lead showed a slight antagonistic effect, the other mixtures showed no interaction. The model is straightforward in its biological assumptions and does not require a mode-of-action a priori choice of the mixture that might influence the modeled interaction of the components in the mixture. The model requires measurements at intermediate time points, but runs with relatively few parameters and is robust in finding interactions. When mixture effects are considered at only one time point, care should be taken with the assignment of interactions because these may be different for different points during the time course of the experiments.

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Year:  2007        PMID: 17571699     DOI: 10.1897/06-437r.1

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


  6 in total

1.  A biology-based approach for mixture toxicity of multiple endpoints over the life cycle.

Authors:  Tjalling Jager; Tine Vandenbrouck; Jan Baas; Wim M De Coen; Sebastiaan A L M Kooijman
Journal:  Ecotoxicology       Date:  2009-09-22       Impact factor: 2.823

2.  Extending standard testing period in honeybees to predict lifespan impacts of pesticides and heavy metals using dynamic energy budget modelling.

Authors:  H Hesketh; E Lahive; A A Horton; A G Robinson; C Svendsen; A Rortais; J-L Dorne; J Baas; D J Spurgeon; M S Heard
Journal:  Sci Rep       Date:  2016-12-20       Impact factor: 4.379

3.  Comparing bee species responses to chemical mixtures: Common response patterns?

Authors:  Alex Robinson; Helen Hesketh; Elma Lahive; Alice A Horton; Claus Svendsen; Agnes Rortais; Jean Lou Dorne; Jan Baas; Matthew S Heard; David J Spurgeon
Journal:  PLoS One       Date:  2017-06-22       Impact factor: 3.240

4.  Metal oxides and annealed metals as alternatives to metal salts for fixed-ratio metal mixture ecotoxicity tests in soil.

Authors:  Mathieu Renaud; Mark Cousins; Kobby Fred Awuah; Olukayode Jegede; Beverley Hale; José Paulo Sousa; Steven Douglas Siciliano
Journal:  PLoS One       Date:  2020-03-05       Impact factor: 3.240

5.  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

6.  BeeGUTS-A Toxicokinetic-Toxicodynamic Model for the Interpretation and Integration of Acute and Chronic Honey Bee Tests.

Authors:  Jan Baas; Benoit Goussen; Mark Miles; Thomas G Preuss; Ivo Roessink
Journal:  Environ Toxicol Chem       Date:  2022-08-04       Impact factor: 4.218

  6 in total

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