Literature DB >> 17493679

Novel view on predicting acute toxicity: decomposing toxicity data in species vulnerability and chemical potency.

Tjalling Jager1, Leo Posthuma, Dick de Zwart, Dik van de Meent.   

Abstract

Chemical risk assessment usually applies empirical methods to predict toxicant effects on different species. We propose a more mechanism-oriented approach, and introduce a method to decompose toxicity data in a contribution from the chemical (potency) and from the exposed species (vulnerability). We use a database for acute aquatic toxicity, and focus on some well-defined chemical classes. Potency is strongly related to hydrophobicity and vulnerability differences between species are small for narcotic compounds. Potencies show less relation with hydrophobicity and interspecies differences are larger for organophosphate- and carbamate insecticides. Photosynthesis inhibitors generally act narcotic to animals, but were more potent for algae. Using these potencies and vulnerabilities, acute toxicity values were well predicted by the proposed approach (within a factor of 3-6). The proposed approach has potential for predicting toxicity for untested species-compound combinations; however, there is a need for a better definition of 'mode of action' in ecotoxicology.

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Year:  2007        PMID: 17493679     DOI: 10.1016/j.ecoenv.2007.03.003

Source DB:  PubMed          Journal:  Ecotoxicol Environ Saf        ISSN: 0147-6513            Impact factor:   6.291


  3 in total

1.  Sensitivity of animals to chemical compounds links to metabolic rate.

Authors:  Jan Baas; Sebastiaan A L M Kooijman
Journal:  Ecotoxicology       Date:  2015-01-07       Impact factor: 2.823

2.  Variability in the dynamics of mortality and immobility responses of freshwater arthropods exposed to chlorpyrifos.

Authors:  Mascha N Rubach; Steven J H Crum; Paul J Van den Brink
Journal:  Arch Environ Contam Toxicol       Date:  2010-08-15       Impact factor: 2.804

3.  A biology-based approach for quantitative structure-activity relationships (QSARs) in ecotoxicity.

Authors:  Tjalling Jager; Sebastiaan A L M Kooijman
Journal:  Ecotoxicology       Date:  2008-10-19       Impact factor: 2.823

  3 in total

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