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Evaluation of physiologically based pharmacokinetic models for use in risk assessment
被引:100
|作者:
Chiu, Weihsueh A.
Barton, Hugh A.
[1
]
DeWoskin, Robert S.
Schlosser, Paul
Thompson, Chad M.
Sonawane, Babasaheb
Lipscomb, John C.
Krishnan, Kannan
机构:
[1] US EPA, Natl Ctr Computat Toxicol, Off Res & Dev, Res Triangle Pk, NC 27711 USA
[2] US EPA, Off Res & Dev, Natl Ctr Environm Assessment, Washington, DC 20460 USA
[3] US EPA, Off Res & Dev, Natl Ctr Environm Assessment, Cincinnati, OH 45268 USA
[4] Univ Montreal, Grp Rech Interdisciplinaire Sante, Montreal, PQ H3C 3J7, Canada
[5] Univ Montreal, Dept Sante Environm & Sante Travail, Montreal, PQ H3C 3J7, Canada
关键词:
PBPK models;
evaluation;
risk assessment;
dosimetry models;
D O I:
10.1002/jat.1225
中图分类号:
R99 [毒物学(毒理学)];
学科分类号:
100405 ;
摘要:
Physiologically based pharmacokinetic (PBPK) models are sophisticated dosimetry models that offer great flexibility in modeling exposure scenarios for which there are limited data. This is particularly of relevance to assessing human exposure to environmental toxicants, which often requires a number of extrapolations across species, route, or dose levels. The continued development of PBPK models ensures that regulatory agencies will increasingly experience the need to evaluate available models for their application in risk assessment. To date, there are few published criteria or well-defined standards for evaluating these models. Herein, important considerations for evaluating such models are described. The evaluation of PBPK models intended for risk assessment applications should include a consideration of: model purpose, model structure, mathematical representation, parameter estimation, computer implementation, predictive capacity and statistical analyses. Model purpose and structure require qualitative checks on the biological plausibility of a model. Mathematical representation, parameter estimation, computer implementation involve an assessment of the coding of the model, as well as the selection and justification of the physical, physicochemical and biochemical parameters chosen to represent a biological organism. Finally, the predictive capacity and sensitivity, variability and uncertainty of the model are analysed so that the applicability of a model for risk assessment can be determined. Published in 2007 by John Wiley & Sons, Ltd.
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页码:218 / 237
页数:20
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