Literature DB >> 12559700

The integration of data on physico-chemical properties, in vitro-derived toxicity data and physiologically based kinetic and dynamic as modelling a tool in hazard and risk assessment. A commentary.

B J Blaauboer1.   

Abstract

Toxicity of a compound for an organism is dependent on the route of exposure, the amount (or concentration), the way in which the compound is taken up, distributes and is eliminated from the organism (ADME, kinetics) and the intrinsic properties (reactivity; mode of action, dynamics) of the compound towards the organism. These three elements: exposure, kinetics and dynamics form the basis of hazard and risk evaluations. Developments in our knowledge of the way in which physico-chemical properties of chemicals (on the one side) and physiological processes in the organism (on the other side) determine a compound's toxicity have greatly increased our understanding of toxicological processes and our ability to interpret experimental results. This has now resulted in the development of model systems in which the above-mentioned processes can be described mathematically. Biokinetic modelling is currently of great interest, but the further development of toxicodynamic modelling is equally important. The combination of both allows the estimation of a compound's critical amount/concentration on the critical site of action, which ideally would be the basis for hazard and risk assessments. In vitro systems have been extremely useful in studying the molecular basis of a chemical's biological activity, including its mechanism(s) of toxic action. Other achievements include the prediction of biological reactivity on the basis of a compound's physico-chemical properties and the construction of quantitative structure-activity relationships (QSARs). However, for the incorporation of in vitro-derived data as well as the results of QSARs, kinetic modelling is indispensable. Thus, biokinetic and toxicodynamic modelling are important (if not crucial) tools in toxicological research and there are increasing opportunities to incorporate the results of this work in hazard and risk assessments. Their implementation will allow a much more scientifically-based and a better structured risk assessment, which will be to a much lesser extent relying on animal experimentation.

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Year:  2003        PMID: 12559700     DOI: 10.1016/s0378-4274(02)00367-3

Source DB:  PubMed          Journal:  Toxicol Lett        ISSN: 0378-4274            Impact factor:   4.372


  8 in total

1.  Incorporating human dosimetry and exposure into high-throughput in vitro toxicity screening.

Authors:  Daniel M Rotroff; Barbara A Wetmore; David J Dix; Stephen S Ferguson; Harvey J Clewell; Keith A Houck; Edward L Lecluyse; Melvin E Andersen; Richard S Judson; Cornelia M Smith; Mark A Sochaski; Robert J Kavlock; Frank Boellmann; Matthew T Martin; David M Reif; John F Wambaugh; Russell S Thomas
Journal:  Toxicol Sci       Date:  2010-07-16       Impact factor: 4.849

2.  Cutting Edge PBPK Models and Analyses: Providing the Basis for Future Modeling Efforts and Bridges to Emerging Toxicology Paradigms.

Authors:  Jane C Caldwell; Marina V Evans; Kannan Krishnan
Journal:  J Toxicol       Date:  2012-07-30

3.  Translational research to develop a human PBPK models tool kit-volatile organic compounds (VOCs).

Authors:  M Moiz Mumtaz; Meredith Ray; Susan R Crowell; Deborah Keys; Jeffrey Fisher; Patricia Ruiz
Journal:  J Toxicol Environ Health A       Date:  2012

4.  A Workflow for Global Sensitivity Analysis of PBPK Models.

Authors:  Kevin McNally; Richard Cotton; George D Loizou
Journal:  Front Pharmacol       Date:  2011-06-23       Impact factor: 5.810

5.  Application of physiologically based pharmacokinetic models in chemical risk assessment.

Authors:  Moiz Mumtaz; Jeffrey Fisher; Benjamin Blount; Patricia Ruiz
Journal:  J Toxicol       Date:  2012-03-19

6.  The need for a new toxicity testing and risk analysis paradigm to implement REACH or any other large scale testing initiative.

Authors:  Bas J Blaauboer; Melvin E Andersen
Journal:  Arch Toxicol       Date:  2007-01-30       Impact factor: 5.153

Review 7.  In Silico Prediction of Organ Level Toxicity: Linking Chemistry to Adverse Effects.

Authors:  Mark T D Cronin; Steven J Enoch; Claire L Mellor; Katarzyna R Przybylak; Andrea-Nicole Richarz; Judith C Madden
Journal:  Toxicol Res       Date:  2017-07-15

8.  Prediction of the Neurotoxic Potential of Chemicals Based on Modelling of Molecular Initiating Events Upstream of the Adverse Outcome Pathways of (Developmental) Neurotoxicity.

Authors:  Domenico Gadaleta; Nicoleta Spînu; Alessandra Roncaglioni; Mark T D Cronin; Emilio Benfenati
Journal:  Int J Mol Sci       Date:  2022-03-11       Impact factor: 5.923

  8 in total

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