Literature DB >> 10807559

Development of a physiologically based pharmacokinetic model of trichloroethylene and its metabolites for use in risk assessment.

H J Clewell1, P R Gentry, T R Covington, J M Gearhart.   

Abstract

A physiologically based pharmacokinetic (PBPK) model was developed that provides a comprehensive description of the kinetics of trichloroethylene (TCE) and its metabolites, trichloroethanol (TCOH), trichloroacetic acid (TCA), and dichloroacetic acid (DCA), in the mouse, rat, and human for both oral and inhalation exposure. The model includes descriptions of the three principal target tissues for cancer identified in animal bioassays: liver, lung, and kidney. Cancer dose metrics provided in the model include the area under the concentration curve (AUC) for TCA and DCA in the plasma, the peak concentration and AUC for chloral in the tracheobronchial region of the lung, and the production of a thioacetylating intermediate from dichlorovinylcysteine in the kidney. Additional dose metrics provided for noncancer risk assessment include the peak concentrations and AUCs for TCE and TCOH in the blood, as well as the total metabolism of TCE divided by the body weight. Sensitivity and uncertainty analyses were performed on the model to evaluate its suitability for use in a pharmacokinetic risk assessment for TCE. Model predictions of TCE, TCA, DCA, and TCOH concentrations in rodents and humans are in good agreement with a variety of experimental data, suggesting that the model should provide a useful basis for evaluating cross-species differences in pharmacokinetics for these chemicals. In the case of the lung and kidney target tissues, however, only limited data are available for establishing cross-species pharmacokinetics. As a result, PBPK model calculations of target tissue dose for lung and kidney should be used with caution.

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Year:  2000        PMID: 10807559      PMCID: PMC1637761          DOI: 10.1289/ehp.00108s2283

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


  137 in total

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Journal:  Toxicol Appl Pharmacol       Date:  1990-02       Impact factor: 4.219

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Journal:  Environ Res       Date:  1989-10       Impact factor: 6.498

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Journal:  J Environ Pathol Toxicol Oncol       Date:  1984-07       Impact factor: 3.567

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Journal:  Fundam Appl Toxicol       Date:  1996-07

7.  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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Authors:  J A Buben; E J O'Flaherty
Journal:  Toxicol Appl Pharmacol       Date:  1985-03-30       Impact factor: 4.219

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Authors:  L A Cox; P F Ricci
Journal:  Risk Anal       Date:  1992-09       Impact factor: 4.000

10.  Ethanol-induced enhancement of trichloroethylene metabolism and hepatotoxicity: difference from the effect of phenobarbital.

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Journal:  Toxicol Appl Pharmacol       Date:  1988-06-30       Impact factor: 4.219

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  28 in total

Review 1.  Whole body pharmacokinetic models.

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

2.  Metabolism and tissue distribution of orally administered trichloroethylene in male and female rats: identification of glutathione- and cytochrome P-450-derived metabolites in liver, kidney, blood, and urine.

Authors:  Lawrence H Lash; David A Putt; Jean C Parker
Journal:  J Toxicol Environ Health A       Date:  2006-07

3.  A physiologically-based pharmacokinetic model of drug detoxification by nanoparticles.

Authors:  Marissa S Fallon; Manoj Varshney; Donn M Dennis; Anuj Chauhan
Journal:  J Pharmacokinet Pharmacodyn       Date:  2004-10       Impact factor: 2.745

4.  Pharmacokinetic analysis of trichloroethylene metabolism in male B6C3F1 mice: Formation and disposition of trichloroacetic acid, dichloroacetic acid, S-(1,2-dichlorovinyl)glutathione and S-(1,2-dichlorovinyl)-L-cysteine.

Authors:  Sungkyoon Kim; David Kim; Gary M Pollack; Leonard B Collins; Ivan Rusyn
Journal:  Toxicol Appl Pharmacol       Date:  2009-05-03       Impact factor: 4.219

5.  Lipid dynamics in zebrafish embryonic development observed by DESI-MS imaging and nanoelectrospray-MS.

Authors:  V Pirro; S C Guffey; M S Sepúlveda; C T Mahapatra; C R Ferreira; A K Jarmusch; R G Cooks
Journal:  Mol Biosyst       Date:  2016-06

6.  Development of a human physiologically based pharmacokinetic (PBPK) model for inorganic arsenic and its mono- and di-methylated metabolites.

Authors:  Hisham A El-Masri; Elaina M Kenyon
Journal:  J Pharmacokinet Pharmacodyn       Date:  2007-10-18       Impact factor: 2.745

7.  A Bayesian population PBPK model for multiroute chloroform exposure.

Authors:  Yuching Yang; Xu Xu; Panos G Georgopoulos
Journal:  J Expo Sci Environ Epidemiol       Date:  2009-05-27       Impact factor: 5.563

8.  Physiologically based pharmacokinetic modeling of dibromoacetic acid in F344 rats.

Authors:  Jessica L Matthews; Irvin R Schultz; Michael R Easterling; Ronald L Melnick
Journal:  Toxicol Appl Pharmacol       Date:  2010-01-04       Impact factor: 4.219

9.  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 10.  Human health effects of trichloroethylene: key findings and scientific issues.

Authors:  Weihsueh A Chiu; Jennifer Jinot; Cheryl Siegel Scott; Susan L Makris; Glinda S Cooper; Rebecca C Dzubow; Ambuja S Bale; Marina V Evans; Kathryn Z Guyton; Nagalakshmi Keshava; John C Lipscomb; Stanley Barone; John F Fox; Maureen R Gwinn; John Schaum; Jane C Caldwell
Journal:  Environ Health Perspect       Date:  2012-12-18       Impact factor: 9.031

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