Literature DB >> 8187697

Physiologically based pharmacokinetics and cancer risk assessment.

M E Andersen1, K Krishnan.   

Abstract

Physiologically based pharmacokinetic (PBPK) modeling involves mathematically describing the complex interplay of the critical physicochemical and biological determinants involved in the disposition of chemicals. In this approach, the body is divided into a number of biologically relevant tissue compartments, arranged in an anatomically accurate manner, and defined with appropriate physiological characteristics. The extrapolation of pharmacokinetic behavior of chemicals from high dose to low dose for various exposure routes and species is possible with this approach because these models are developed by integrating quantitative information on the critical determinants of chemical disposition under a biological modeling framework. The principal application of PBPK models is in the prediction of tissue dosimetry of toxic moiety (e.g., parent chemical, reactive metabolite, macromolecular adduct) of a chemical. Such an application has been demonstrated with dichloromethane, a liver and lung carcinogen in the B6C3F1 mouse. The PBPK model-based risk assessment approach estimated a cancer risk to people of 3.7 x 10(-8) for a lifetime inhalation exposure of 1 micrograms/m3, which is lower by more than two orders of magnitude than that calculated by the U.S. Environmental Protection Agency using the linearized multistage model (for low-dose extrapolation) and body surface correction factor (for interspecies scaling). The capability of predicting the target tissue exposure to toxic moiety in people with PBPK models should help reduce the uncertainty associated with the extrapolation procedures adopted in conventional dose-response assessment.

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Year:  1994        PMID: 8187697      PMCID: PMC1566886          DOI: 10.1289/ehp.94102s1103

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


  19 in total

1.  Estimating the risk of liver cancer associated with human exposures to chloroform using physiologically based pharmacokinetic modeling.

Authors:  R H Reitz; A L Mendrala; R A Corley; J F Quast; M L Gargas; M E Andersen; D A Staats; R B Conolly
Journal:  Toxicol Appl Pharmacol       Date:  1990-09-15       Impact factor: 4.219

Review 2.  Development and utilization of physiologically based pharmacokinetic models for toxicological applications.

Authors:  H W Leung
Journal:  J Toxicol Environ Health       Date:  1991-03

3.  Biologically motivated cancer risk models.

Authors:  T W Thorslund; C C Brown; G Charnley
Journal:  Risk Anal       Date:  1987-03       Impact factor: 4.000

4.  Development of a physiologically based pharmacokinetic model for risk assessment with 1,4-dioxane.

Authors:  R H Reitz; P S McCroskey; C N Park; M E Andersen; M L Gargas
Journal:  Toxicol Appl Pharmacol       Date:  1990-08       Impact factor: 4.219

5.  Variability of safe dose estimates when using complicated models of the carcinogenic process. A case study: methylene chloride.

Authors:  C J Portier; N L Kaplan
Journal:  Fundam Appl Toxicol       Date:  1989-10

6.  Physiologically based pharmacokinetic modeling with dichloromethane, its metabolite, carbon monoxide, and blood carboxyhemoglobin in rats and humans.

Authors:  M E Andersen; H J Clewell; M L Gargas; M G MacNaughton; R H Reitz; R J Nolan; M J McKenna
Journal:  Toxicol Appl Pharmacol       Date:  1991-03-15       Impact factor: 4.219

7.  Incorporation of in vitro enzyme data into the physiologically-based pharmacokinetic (PB-PK) model for methylene chloride: implications for risk assessment.

Authors:  R H Reitz; A L Mendrala; C N Park; M E Andersen; F P Guengerich
Journal:  Toxicol Lett       Date:  1988-10       Impact factor: 4.372

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.  Commentary on EPA carcinogen risk assessment guidelines.

Authors:  R J Moolenaar
Journal:  Regul Toxicol Pharmacol       Date:  1989-06       Impact factor: 3.271

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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  3 in total

Review 1.  Whole body pharmacokinetic models.

Authors:  Ivan Nestorov
Journal:  Clin Pharmacokinet       Date:  2003       Impact factor: 6.447

2.  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

3.  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

  3 in total

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