Literature DB >> 10341143

A physiologically based pharmacokinetic model of inorganic arsenic.

D Yu1.   

Abstract

This study presents a physiologically based pharmacokinetic model of inorganic arsenic disposition in humans. The model focuses on short-term exposures by the oral route. The model considers the four circulating species (AsIII, AsV, and two metabolites, i.e., monomethylarsenic (MMA) and dimethylarsenic (DMA)) in tissue groups. The model also provides for the reduction of AsV to AsIII via chemical reaction with tissue glutathione and the subsequent transformation of AsIII into two metabolites (MMA and DMA) based on the experimental observations. Effort on the development of the model is directed toward the prediction of the kinetic behavior of inorganic arsenic in the body, following environmental exposure at ambient water concentrations, including tissue and blood concentrations, and especially urinary excretion of arsenic and its methylated metabolites. While it is difficult to estimate some of parameters used in the model at this time, the current model assumptions and predictions seem to be consistent with the experimental observations found in the literature. Therefore, the current model, when more fully developed, is expected to provide insight into the behavior of inorganic arsenic and its methylated metabolites within the body and may help increase the understanding of risk assessment issues associated with inorganic arsenic in drinking water. Copyright 1999 Academic Press.

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Year:  1999        PMID: 10341143     DOI: 10.1006/rtph.1999.1282

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  9 in total

1.  Arsenic exposure and toxicology: a historical perspective.

Authors:  Michael F Hughes; Barbara D Beck; Yu Chen; Ari S Lewis; David J Thomas
Journal:  Toxicol Sci       Date:  2011-07-12       Impact factor: 4.849

2.  Probabilistic Modeling of Dietary Arsenic Exposure and Dose and Evaluation with 2003-2004 NHANES Data.

Authors:  Jianping Xue; Valerie Zartarian; Sheng-Wei Wang; Shi V Liu; Panos Georgopoulos
Journal:  Environ Health Perspect       Date:  2010-03       Impact factor: 9.031

3.  Biologically based modeling of multimedia, multipathway, multiroute population exposures to arsenic.

Authors:  Panos G Georgopoulos; Sheng-Wei Wang; Yu-Ching Yang; Jianping Xue; Valerie G Zartarian; Thomas McCurdy; Halûk Ozkaynak
Journal:  J Expo Sci Environ Epidemiol       Date:  2007-12-12       Impact factor: 5.563

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

Authors:  Michael R Easterling; Miroslav Styblo; Marina V Evans; Elaina M Kenyon
Journal:  J Pharmacokinet Pharmacodyn       Date:  2002-06       Impact factor: 2.745

5.  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

6.  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

7.  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 8.  Arsenic toxicokinetic modeling and risk analysis: Progress, needs and applications.

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

9.  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

  9 in total

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