Biokinetic and Toxicodynamic Modelling and its Role in Toxicological Research and Risk Assessment
- 1 May 2003
- journal article
- research article
- Published by SAGE Publications in Alternatives to Laboratory Animals
- Vol. 31 (3) , 277-281
- https://doi.org/10.1177/026119290303100310
Abstract
Toxicological risk assessment for chemicals is still mainly based on highly standardised protocols for animal experimentation and exposure assessment. However, developments in our knowledge of general physiology, in chemicobiological interactions and in (computer-supported) modelling, have resulted in a tremendous change in our understanding of the molecular mechanisms underlying the toxicity of chemicals. This permits the development of biologically based models, in which the biokinetics as well as the toxicodynamics of compounds can be described. In this paper, the possibilities are discussed of developing systems in which the systemic (acute and chronic) toxicities of chemicals can be quantified without the heavy reliance on animal experiments. By integrating data derived from different sources, predictions of toxicity can be made. Key elements in this integrated approach are the evaluation of chemical functionalities representing structural alerts for toxic actions, the construction of biokinetic models on the basis of non-animal data (for example, tissue–blood partition coefficients, in vitro biotransformation parameters), tests or batteries of tests for determining basal cytotoxicity, and more-specific tests for evaluating tissue or organ toxicity. It is concluded that this approach is a useful tool for various steps in toxicological hazard and risk assessment, especially for those forms of toxicity for which validated in vitro and other non-animal tests have already been developed.Keywords
This publication has 19 references indexed in Scilit:
- The applicability of in vitro-derived data in hazard identification and characterisation of chemicalsEnvironmental Toxicology and Pharmacology, 2002
- The use of genomics technology to investigate gene expression changes in cultured human liver cellsToxicology in Vitro, 2001
- In Vitro Human Tissue Models in Risk Assessment: Report of a Consensus-Building WorkshopToxicological Sciences, 2001
- Prediction of toxicity from chemical structureCell Biology and Toxicology, 2000
- Quantitative structure—Activity relationships for skin irritation and corrosivity of neutral and electrophilic organic chemicalsPublished by Elsevier ,1999
- Computational predictive programs (expert systems) in toxicologyToxicology, 1997
- Use of physiologically based pharmacokinetic modeling to investigate individual versus population riskToxicology, 1996
- The use of in vitro cytotoxicity measurements in QSAR methods for the prediction of the skin corrosivity potential of acidsToxicology in Vitro, 1996
- Quantitative structure-activity relationships (QSARs) for skin corrosivity of organic acids, bases and phenols: Principal components and neural network analysis of extended datasetsToxicology in Vitro, 1996
- Computer prediction of possible toxic action from chemical structure: an update on the DEREK systemToxicology, 1996