Literature DB >> 17804862

A physiologically based pharmacokinetic/pharmacodynamic model for carbofuran in Sprague-Dawley rats using the exposure-related dose estimating model.

Xiaofei Zhang1, Andy M Tsang, Miles S Okino, Frederick W Power, James B Knaak, Lynda S Harrison, Curtis C Dary.   

Abstract

Carbofuran (2,3-dihydro-2,2-dimethyl-7-benzofuranyl-N-methylcarbamate), a broad spectrum N-methyl carbamate insecticide, and its metabolite, 3-hydroxycarbofuran, exert their toxicity by reversibly inhibiting acetylcholinesterase (AChE). To characterize AChE inhibition from carbofuran exposure, a physiologically based pharmacokinetic/pharmacodynamic (PBPK/PD) model was developed in the Exposure-Related Dose Estimating Model (ERDEM) platform for the Sprague-Dawley (SD) rat. Experimental estimates of physiological, biochemical, and physicochemical model parameters were obtained or based on data from the open literature. The PBPK/PD model structure included carbofuran metabolism in the liver to 16 known metabolites, enterohepatic circulation of glucuronic acid conjugates, and excretion in urine and feces. Bolus doses by ingestion of 50 microg/kg and 0.5 mg/kg carbofuran were simulated for the blood and brain AChE activity. The carbofuran ERDEM simulated a half-life of 5.2 h for urinary clearance, and the experimental AChE activity data were reproduced for the blood and brain. Thirty model parameters were found influential to the model outputs and were chosen for perturbation in Monte Carlo simulations to evaluate the impact of their variability on the model predictions. Results of the simulation runs indicated that the minimum AChE activity in the blood ranged from 29.3 to 79.0% (as 5th and 95th percentiles) of the control level with a mean of 55.9% (standard deviation = 15.1%) compared to an experimental value of 63%. The constructed PBPK/PD model for carbofuran in the SD rat provides a foundation for extrapolating to a human model that can be used for future risk assessment.

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Year:  2007        PMID: 17804862     DOI: 10.1093/toxsci/kfm232

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  10 in total

1.  Physiologically based pharmacokinetic modeling of human exposure to perfluorooctanoic acid suggests historical non drinking-water exposures are important for predicting current serum concentrations.

Authors:  Rachel Rogers Worley; Xiaoxia Yang; Jeffrey Fisher
Journal:  Toxicol Appl Pharmacol       Date:  2017-07-03       Impact factor: 4.219

2.  Assessment of fetal brain uptake of paraquat in utero using in vivo PET/CT imaging.

Authors:  Rachel M Bartlett; Dhanabalan Murali; R Jerome Nickles; Todd E Barnhart; James E Holden; Onofre T DeJesus
Journal:  Toxicol Sci       Date:  2011-05-04       Impact factor: 4.849

3.  In vitro-in silico-based prediction of inter-individual and inter-ethnic variations in the dose-dependent cardiotoxicity of R- and S-methadone in humans.

Authors:  Miaoying Shi; Yumeng Dong; Hans Bouwmeester; Ivonne M C M Rietjens; Marije Strikwold
Journal:  Arch Toxicol       Date:  2022-05-23       Impact factor: 6.168

4.  Variability in Human In Vitro Enzyme Kinetics.

Authors:  Christopher R Gibson; Ying-Hong Wang; Ninad Varkhede; Bennett Ma
Journal:  Methods Mol Biol       Date:  2021

5.  Reconstructing organophosphorus pesticide doses using the reversed dosimetry approach in a simple physiologically-based pharmacokinetic model.

Authors:  Chensheng Lu; Leo Andres
Journal:  J Toxicol       Date:  2012-02-01

6.  Developing a Physiologically-Based Pharmacokinetic Model Knowledgebase in Support of Provisional Model Construction.

Authors:  Jingtao Lu; Michael-Rock Goldsmith; Christopher M Grulke; Daniel T Chang; Raina D Brooks; Jeremy A Leonard; Martin B Phillips; Ethan D Hypes; Matthew J Fair; Rogelio Tornero-Velez; Jeffre Johnson; Curtis C Dary; Yu-Mei Tan
Journal:  PLoS Comput Biol       Date:  2016-02-12       Impact factor: 4.475

Review 7.  Current Approaches and Techniques in Physiologically Based Pharmacokinetic (PBPK) Modelling of Nanomaterials.

Authors:  Wells Utembe; Harvey Clewell; Natasha Sanabria; Philip Doganis; Mary Gulumian
Journal:  Nanomaterials (Basel)       Date:  2020-06-29       Impact factor: 5.076

8.  Inter-individual variation in chlorpyrifos toxicokinetics characterized by physiologically based kinetic (PBK) and Monte Carlo simulation comparing human liver microsome and Supersome cytochromes P450 (CYP)-specific kinetic data as model input.

Authors:  Shensheng Zhao; Sebastiaan Wesseling; Ivonne M C M Rietjens; Marije Strikwold
Journal:  Arch Toxicol       Date:  2022-03-16       Impact factor: 5.153

9.  Population pharmacokinetic model to generate mechanistic insights in bile acid homeostasis and drug-induced cholestasis.

Authors:  Véronique M P de Bruijn; Ivonne M C M Rietjens; Hans Bouwmeester
Journal:  Arch Toxicol       Date:  2022-07-25       Impact factor: 6.168

10.  The implications of using a physiologically based pharmacokinetic (PBPK) model for pesticide risk assessment.

Authors:  Chensheng Lu; Christina M Holbrook; Leo M Andres
Journal:  Environ Health Perspect       Date:  2010-01       Impact factor: 9.031

  10 in total

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