Development of good modelling practice for physiologically based pharmacokinetic models for use in risk assessment: the first steps.
The increasing use of tissue dosimetry estimated using pharmacokinetic models in chemical risk assessments in various jurisdictions necessitates the development of internationally recognized good modelling practice (GMP). These practices would facilitate sharing of models and model evaluations and consistent applications in risk assessments. Clear descriptions of good practices for (1) model development i.e., research and analysis activities, (2) model characterization i.e., methods to describe how consistent the model is with biology and the strengths and limitations of available models and data, such as sensitivity analyses, (3) model documentation, and (4) model evaluation i.e., independent review that will assist risk assessors in their decisions of whether and how to use the models, and also model developers to understand expectations for various purposes e.g., research versus application in risk assessment. Next steps in the development of guidance for GMP and research to improve the scientific basis of the models are described based on a review of the current status of the application of physiologically based pharmacokinetic (PBPK) models in risk assessments in Europe, Canada, and the United States at the International Workshop on the Development of GMP for PBPK Models in Greece on April 27-29, 2007.
Loizou
George
G
Health and Safety Laboratory, Harpur Hill, Buxton, SK17 9JN, UK. George.loizou@hsl.gov.uk
Spendiff
Martin
M
Barton
Hugh A
HA
Bessems
Jos
J
Bois
Frédéric Y
FY
d'Yvoire
Michel Bouvier
MB
Buist
Harrie
H
Clewell
Harvey J
HJ
Meek
Bette
B
Gundert-Remy
Ursula
U
Goerlitz
Gerhard
G
Schmitt
Walter
W
D000818:Animals; D006801:Humans; D007880:Legislation, Drug; D015233:Models, Statistical; D010599:Pharmacokinetics; D021281:Quantitative Structure-Activity Relationship; D018570:Risk Assessment / Q000331:legislation & jurisprudence / Q000592:standards* / Q000706:statistics & numerical data* / Q000639:trends