Literature DB >> 17299829

Evaluation of physiologically based pharmacokinetic models for use in risk assessment.

Weihsueh A Chiu1, Hugh A Barton, Robert S DeWoskin, Paul Schlosser, Chad M Thompson, Babasaheb Sonawane, John C Lipscomb, Kannan Krishnan.   

Abstract

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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Year:  2007        PMID: 17299829     DOI: 10.1002/jat.1225

Source DB:  PubMed          Journal:  J Appl Toxicol        ISSN: 0260-437X            Impact factor:   3.446


  20 in total

Review 1.  Physiologically-based pharmacokinetic modeling for absorption, transport, metabolism and excretion.

Authors:  K Sandy Pang; Matthew R Durk
Journal:  J Pharmacokinet Pharmacodyn       Date:  2010-12-14       Impact factor: 2.745

2.  Evaluation of a generic physiologically based pharmacokinetic model for lineshape analysis.

Authors:  Sheila Annie Peters
Journal:  Clin Pharmacokinet       Date:  2008       Impact factor: 6.447

3.  Toxicology. Transforming environmental health protection.

Authors:  Francis S Collins; George M Gray; John R Bucher
Journal:  Science       Date:  2008-02-15       Impact factor: 47.728

4.  Identifiability of PBPK models with applications to dimethylarsinic acid exposure.

Authors:  Ramon I Garcia; Joseph G Ibrahim; John F Wambaugh; Elaina M Kenyon; R Woodrow Setzer
Journal:  J Pharmacokinet Pharmacodyn       Date:  2015-07-21       Impact factor: 2.745

5.  Cancer risk of petrochemical workers exposed to airborne PAHs in industrial Lanzhou City, China.

Authors:  Li Wang; Yuan Zhao; Xianying Liu; Tao Huang; Yanan Wang; Hong Gao; Jianmin Ma
Journal:  Environ Sci Pollut Res Int       Date:  2015-08-19       Impact factor: 4.223

Review 6.  Challenges Associated With Applying Physiologically Based Pharmacokinetic Modeling for Public Health Decision-Making.

Authors:  Yu-Mei Tan; Rachel R Worley; Jeremy A Leonard; Jeffrey W Fisher
Journal:  Toxicol Sci       Date:  2018-04-01       Impact factor: 4.849

7.  Studying permethrin exposure in flight attendants using a physiologically based pharmacokinetic model.

Authors:  Binnian Wei; Sastry S Isukapalli; Clifford P Weisel
Journal:  J Expo Sci Environ Epidemiol       Date:  2013-03-06       Impact factor: 5.563

Review 8.  PBPK model reporting template for chemical risk assessment applications.

Authors:  Yu-Mei Tan; Melissa Chan; Amechi Chukwudebe; Jeanne Domoradzki; Jeffrey Fisher; C Eric Hack; Paul Hinderliter; Kota Hirasawa; Jeremy Leonard; Annie Lumen; Alicia Paini; Hua Qian; Patricia Ruiz; John Wambaugh; Fagen Zhang; Michelle Embry
Journal:  Regul Toxicol Pharmacol       Date:  2020-06-02       Impact factor: 3.271

9.  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

10.  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

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