Literature DB >> 18824525

The multiple depletion curves method provides accurate estimates of intrinsic clearance (CLint), maximum velocity of the metabolic reaction (Vmax), and Michaelis constant (Km): accuracy and robustness evaluated through experimental data and Monte Carlo simulations.

Erik Sjögren1, Hans Lennernäs, Tommy B Andersson, Johan Gråsjö, Ulf Bredberg.   

Abstract

The use of multiple depletion curves for the estimation of maximum velocity of the metabolic reaction (V(max)), the Michaelis constant (K(m)), and intrinsic clearance (CL(int)) was thoroughly evaluated by means of experimental data and through a series of Monte Carlo simulations. The enzyme kinetics of seven compounds were determined using the multiple depletion curves method (MDCM), the traditional initial formation rate of metabolite method (IFRMM), and the "in vitro t(1/2)" method, and the parameter estimates that were derived from the three methods were compared. The impact of a change in enzyme activity during the incubation period on the parameter estimates and the possibility to correct for this were also investigated. The MDCM was in good overall agreement with the IFRMM. Correction for a change in enzyme activity was possible and resulted in a better concordance in CL(int) estimates. The robustness of the method in coping with different rates of substrate turnover and variable starting concentrations were also demonstrated through Monte Carlo simulations. Furthermore, the limitations imposed by assumptions inherent in the in vitro t(1/2) method were demonstrated both experimentally and by simulations. This study demonstrates that the MDCM is a robust and efficient method for estimating enzyme kinetic variables with high accuracy and precision. The method may potentially be used in a wide range of applications, from pure enzyme kinetics to in vitro-based predictions of the pharmacokinetics of compounds with multiple and/or unknown metabolic pathways.

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Year:  2008        PMID: 18824525     DOI: 10.1124/dmd.108.021477

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.922


  10 in total

1.  Correlation between Apparent Substrate Affinity and OCT2 Transport Turnover.

Authors:  Alyscia Cory Severance; Philip J Sandoval; Stephen H Wright
Journal:  J Pharmacol Exp Ther       Date:  2017-06-14       Impact factor: 4.030

2.  Hepatic disposition of ximelagatran and its metabolites in pig; prediction of the impact of membrane transporters through a simple disposition model.

Authors:  Erik Sjögren; Ulf Bredberg; Erik Allard; Björn Arvidsson; Jonas Bergquist; Tommy B Andersson; Hans Lennernäs
Journal:  Pharm Res       Date:  2010-02-06       Impact factor: 4.200

3.  In Vitro Evaluation of the Drug Interaction Potential of Doravirine.

Authors:  Kelly Bleasby; Kerry L Fillgrove; Robert Houle; Bing Lu; Jairam Palamanda; Deborah J Newton; Meihong Lin; Grace Hoyee Chan; Rosa I Sanchez
Journal:  Antimicrob Agents Chemother       Date:  2019-03-27       Impact factor: 5.191

4.  Identification of diet-derived constituents as potent inhibitors of intestinal glucuronidation.

Authors:  Brandon T Gufford; Gang Chen; Philip Lazarus; Tyler N Graf; Nicholas H Oberlies; Mary F Paine
Journal:  Drug Metab Dispos       Date:  2014-07-09       Impact factor: 3.922

5.  Towards a generic physiologically based kinetic model to predict in vivo uterotrophic responses in rats by reverse dosimetry of in vitro estrogenicity data.

Authors:  Mengying Zhang; Bennard van Ravenzwaay; Eric Fabian; Ivonne M C M Rietjens; Jochem Louisse
Journal:  Arch Toxicol       Date:  2017-12-12       Impact factor: 5.153

6.  Deuterium isotope effects in drug pharmacokinetics II: Substrate-dependence of the reaction mechanism influences outcome for cytochrome P450 cleared drugs.

Authors:  Hao Sun; David W Piotrowski; Suvi T M Orr; Joseph S Warmus; Angela C Wolford; Steven B Coffey; Kentaro Futatsugi; Yinsheng Zhang; Alfin D N Vaz
Journal:  PLoS One       Date:  2018-11-14       Impact factor: 3.240

7.  Use of Physiologically Based Kinetic Modeling-Facilitated Reverse Dosimetry to Predict In Vivo Acute Toxicity of Tetrodotoxin in Rodents.

Authors:  Annelies Noorlander; Mengying Zhang; Bennard van Ravenzwaay; Ivonne M C M Rietjens
Journal:  Toxicol Sci       Date:  2022-04-26       Impact factor: 4.109

8.  Optimal Experiment Design for Monoexponential Model Fitting: Application to Apparent Diffusion Coefficient Imaging.

Authors:  Mohammad Alipoor; Stephan E Maier; Irene Yu-Hua Gu; Andrew Mehnert; Fredrik Kahl
Journal:  Biomed Res Int       Date:  2015-12-28       Impact factor: 3.411

9.  Effective Cellular Transport of Ortho-Halogenated Sulfonamide Derivatives of Metformin Is Related to Improved Antiproliferative Activity and Apoptosis Induction in MCF-7 Cells.

Authors:  Magdalena Markowicz-Piasecka; Ibrahim Komeil; Johanna Huttunen; Joanna Sikora; Kristiina M Huttunen
Journal:  Int J Mol Sci       Date:  2020-03-30       Impact factor: 5.923

10.  Development of a Generic Physiologically Based Kinetic Model to Predict In Vivo Uterotrophic Responses Induced by Estrogenic Chemicals in Rats Based on In Vitro Bioassays.

Authors:  Mengying Zhang; Bennard van Ravenzwaay; Ivonne M C M Rietjens
Journal:  Toxicol Sci       Date:  2020-01-01       Impact factor: 4.109

  10 in total

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