Literature DB >> 12449496

Pharmacokinetic modeling of arsenite uptake and metabolism in hepatocytes--mechanistic insights and implications for further experiments.

Michael R Easterling1, Miroslav Styblo, Marina V Evans, Elaina M Kenyon.   

Abstract

Arsenic (iAs) is a known human carcinogen and widespread contaminant in drinking water. To provide a quantitative framework for experimental design and hypothesis testing, we developed a pharmacokinetic model describing the uptake and methylation of arsenite (AsIII) in primary rat hepatocytes. Measured metabolites were inorganic As (iAs), mono-methylated As (MMA), and di-methylated As (DMA) concentration in cells and media. Transport and methylation parameters were estimated from time course data for iAs, MMA, and DMA at three initial media As(III) concentrations (0.1, 0.4, 1.0 microM). Inhibition of the formation DMA from MMA by As(III) was necessary to adequately describe the data. The data were consistent with multiple types of inhibition, although uncompetitive inhibition provided a slightly better fit. Model simulations indicate that cellular MMA (cMMA) is a key arsenical to measure; measurement of cMMA in the 4-6 hr time range using an initial concentration of 1.4 microM AsIII would provide the best experimental conditions to distinguish uncompetitive from other types of inhibition. Due to the large number of model parameters estimated from the data, we used sensitivity analysis to determine the influential parameters. Use of sensitivity surfaces facilitated the comparison of parameters over time and across doses. Predicted model responses were most sensitive to influx and efflux parameters, suggesting that transport processes are critical in determining cellular arsenical concentrations. These high sensitivities imply that independent experiments to estimate these parameters with greater certainty may be crucialfor refinement of this model and to extend this model to describe methylation and transport in human hepatocytes.

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Year:  2002        PMID: 12449496     DOI: 10.1023/a:1020248922689

Source DB:  PubMed          Journal:  J Pharmacokinet Pharmacodyn        ISSN: 1567-567X            Impact factor:   2.745


  44 in total

1.  Methylated trivalent arsenic species are genotoxic.

Authors:  M J Mass; A Tennant; B C Roop; W R Cullen; M Styblo; D J Thomas; A D Kligerman
Journal:  Chem Res Toxicol       Date:  2001-04       Impact factor: 3.739

2.  Arsenicals inhibit thioredoxin reductase in cultured rat hepatocytes.

Authors:  S Lin; L M Del Razo; M Styblo; C Wang; W R Cullen; D J Thomas
Journal:  Chem Res Toxicol       Date:  2001-03       Impact factor: 3.739

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Authors:  B Georis; A Cardenas; J P Buchet; R Lauwerys
Journal:  Toxicology       Date:  1990-07       Impact factor: 4.221

4.  A physiologically based pharmacokinetic model of inorganic arsenic.

Authors:  D Yu
Journal:  Regul Toxicol Pharmacol       Date:  1999-04       Impact factor: 3.271

5.  Monomethylarsonous acid (MMA(III)) is more toxic than arsenite in Chang human hepatocytes.

Authors:  J S Petrick; F Ayala-Fierro; W R Cullen; D E Carter; H Vasken Aposhian
Journal:  Toxicol Appl Pharmacol       Date:  2000-03-01       Impact factor: 4.219

6.  Biliary and urinary excretion of inorganic arsenic: monomethylarsonous acid as a major biliary metabolite in rats.

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Journal:  Toxicol Sci       Date:  2000-07       Impact factor: 4.849

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Journal:  Chem Biol Interact       Date:  1996-01-05       Impact factor: 5.192

8.  Arsenic uptake and metabolism by liver cells is dependent on arsenic oxidation state.

Authors:  S A Lerman; T W Clarkson; R J Gerson
Journal:  Chem Biol Interact       Date:  1983-08-01       Impact factor: 5.192

9.  A physiologically based pharmacokinetic model for arsenic exposure. I. Development in hamsters and rabbits.

Authors:  S Mann; P O Droz; M Vahter
Journal:  Toxicol Appl Pharmacol       Date:  1996-03       Impact factor: 4.219

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Authors:  J P Buchet; R Lauwerys
Journal:  Arch Toxicol       Date:  1985-06       Impact factor: 5.153

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  7 in total

1.  Arsenicals in maternal and fetal mouse tissues after gestational exposure to arsenite.

Authors:  Vicenta Devesa; Blakely M Adair; Jie Liu; Michael P Waalkes; Bhalchandra A Diwan; Miroslav Styblo; David J Thomas
Journal:  Toxicology       Date:  2006-05-03       Impact factor: 4.221

2.  A semi-mechanistic integrated toxicokinetic-toxicodynamic (TK/TD) model for arsenic(III) in hepatocytes.

Authors:  Spyros K Stamatelos; Ioannis P Androulakis; Ah-Ng Tony Kong; Panos G Georgopoulos
Journal:  J Theor Biol       Date:  2012-10-12       Impact factor: 2.691

3.  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

4.  Mathematical model insights into arsenic detoxification.

Authors:  Sean D Lawley; Molly Cinderella; Megan N Hall; Mary V Gamble; H Frederik Nijhout; Michael C Reed
Journal:  Theor Biol Med Model       Date:  2011-08-26       Impact factor: 2.432

5.  Mathematical model of uptake and metabolism of arsenic(III) in human hepatocytes - Incorporation of cellular antioxidant response and threshold-dependent behavior.

Authors:  Spyros K Stamatelos; Christopher J Brinkerhoff; Sastry S Isukapalli; Panos G Georgopoulos
Journal:  BMC Syst Biol       Date:  2011-01-25

Review 6.  Arsenic toxicokinetic modeling and risk analysis: Progress, needs and applications.

Authors:  Elaina M Kenyon
Journal:  Toxicology       Date:  2021-05-07       Impact factor: 4.571

7.  Mathematical modeling of the effects of glutathione on arsenic methylation.

Authors:  Sean D Lawley; Jina Yun; Mary V Gamble; Megan N Hall; Michael C Reed; H Frederik Nijhout
Journal:  Theor Biol Med Model       Date:  2014-05-16       Impact factor: 2.432

  7 in total

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