Literature DB >> 11781169

A consistent approach for the application of pharmacokinetic modeling in cancer and noncancer risk assessment.

Harvey J Clewell1, Melvin E Andersen, Hugh A Barton.   

Abstract

Physiologically based pharmacokinetic modeling provides important capabilities for improving the reliability of the extrapolations across dose, species, and exposure route that are generally required in chemical risk assessment regardless of the toxic end point being considered. Recently, there has been an increasing focus on harmonization of the cancer and noncancer risk assessment approaches used by regulatory agencies. Although the specific details of applying pharmacokinetic modeling within these two paradigms may differ, it is possible to identify important elements common to both. These elements expand on a four-part framework for describing the development of toxicity: a) exposure, b) tissue dosimetry/pharmacokinetics, c) toxicity process/pharmacodynamics, and d) response. The middle two components constitute the mode of action. In particular, the approach described in this paper provides a common template for incorporating pharmacokinetic modeling to estimate tissue dosimetry into chemical risk assessment, whether for cancer or noncancer end points. Chemical risk assessments typically depend upon comparisons across species that often simplify to ratios reflecting the differences. In this paper we describe the uses of this ratio concept and discuss the advantages of a pharmacokinetic-based approach as compared to the use of default dosimetry.

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Year:  2002        PMID: 11781169      PMCID: PMC1240697          DOI: 10.1289/ehp.0211085

Source DB:  PubMed          Journal:  Environ Health Perspect        ISSN: 0091-6765            Impact factor:   9.031


  31 in total

Review 1.  Extrapolation of animal toxicity to humans: interspecies comparisons in drug development.

Authors:  E M Voisin; M Ruthsatz; J M Collins; P C Hoyle
Journal:  Regul Toxicol Pharmacol       Date:  1990-10       Impact factor: 3.271

Review 2.  Incorporating biological information in quantitative risk assessment: an example with methylene chloride.

Authors:  H J Clewell
Journal:  Toxicology       Date:  1995-09-01       Impact factor: 4.221

Review 3.  Biologically based pharmacodynamic models: tools for toxicological research and risk assessment.

Authors:  R B Conolly; M E Andersen
Journal:  Annu Rev Pharmacol Toxicol       Date:  1991       Impact factor: 13.820

4.  Biologically motivated models for chemical risk assessment.

Authors:  H J Clewell; M E Andersen
Journal:  Health Phys       Date:  1989       Impact factor: 1.316

5.  A physiologically based pharmacokinetic and pharmacodynamic model to describe the oral dosing of rats with ethyl acrylate and its implications for risk assessment.

Authors:  C B Frederick; D W Potter; M I Chang-Mateu; M E Andersen
Journal:  Toxicol Appl Pharmacol       Date:  1992-06       Impact factor: 4.219

6.  Adjusting exposure limits for long and short exposure periods using a physiological pharmacokinetic model.

Authors:  M E Andersen; M G MacNaughton; H J Clewell; D J Paustenbach
Journal:  Am Ind Hyg Assoc J       Date:  1987-04

Review 7.  What is an appropriate measure of exposure when testing drugs for carcinogenicity in rodents?

Authors:  A Monro
Journal:  Toxicol Appl Pharmacol       Date:  1992-02       Impact factor: 4.219

8.  Partition coefficients of low-molecular-weight volatile chemicals in various liquids and tissues.

Authors:  M L Gargas; R J Burgess; D E Voisard; G H Cason; M E Andersen
Journal:  Toxicol Appl Pharmacol       Date:  1989-03-15       Impact factor: 4.219

9.  Risk assessment extrapolations and physiological modeling.

Authors:  H J Clewell; M E Andersen
Journal:  Toxicol Ind Health       Date:  1985-12       Impact factor: 2.273

10.  Physiologically based pharmacokinetics and the risk assessment process for methylene chloride.

Authors:  M E Andersen; H J Clewell; M L Gargas; F A Smith; R H Reitz
Journal:  Toxicol Appl Pharmacol       Date:  1987-02       Impact factor: 4.219

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  6 in total

1.  Effects of environmentally-relevant levels of perfluorooctane sulfonate on clinical parameters and immunological functions in B6C3F1 mice.

Authors:  Patricia A Fair; Erin Driscoll; Meagan A M Mollenhauer; Sarah G Bradshaw; Se Hun Yun; Kurunthachalam Kannan; Gregory D Bossart; Deborah E Keil; Margie M Peden-Adams
Journal:  J Immunotoxicol       Date:  2011-01-24       Impact factor: 3.000

2.  The impact of saturable metabolism on exposure-response relations in 2 studies of benzene-induced leukemia.

Authors:  Jelle Vlaanderen; Lützen Portengen; Stephen M Rappaport; Deborah C Glass; Hans Kromhout; Roel Vermeulen
Journal:  Am J Epidemiol       Date:  2011-07-10       Impact factor: 4.897

Review 3.  Gene--environment-wide association studies: emerging approaches.

Authors:  Duncan Thomas
Journal:  Nat Rev Genet       Date:  2010-04       Impact factor: 53.242

4.  Simulating microdosimetry in a virtual hepatic lobule.

Authors:  John Wambaugh; Imran Shah
Journal:  PLoS Comput Biol       Date:  2010-04-22       Impact factor: 4.475

Review 5.  Complex system approaches to genetic analysis Bayesian approaches.

Authors:  Melanie A Wilson; James W Baurley; Duncan C Thomas; David V Conti
Journal:  Adv Genet       Date:  2010       Impact factor: 1.944

Review 6.  Dispelling urban myths about default uncertainty factors in chemical risk assessment--sufficient protection against mixture effects?

Authors:  Olwenn V Martin; Scholze Martin; Andreas Kortenkamp
Journal:  Environ Health       Date:  2013-07-01       Impact factor: 5.984

  6 in total

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