Literature DB >> 15616151

The binding of drugs to hepatocytes and its relationship to physicochemical properties.

Rupert P Austin1, Patrick Barton, Sarfraz Mohmed, Robert J Riley.   

Abstract

The binding of 17 drugs to rat hepatocytes has been determined using equilibrium dialysis in combination with metabolic inhibitors and a kinetic model for the binding and dialysis processes. Metabolic inhibitors were used to retard the main routes of metabolism such that the half-life for turnover of the drugs was comparable to or greater than the time scale of the equilibrium dialysis process. Further experiments were carried out to determine the kinetics of diffusion of the compounds across the dialysis membrane and the observed extent of binding to hepatocytes. Knowledge of the rate of metabolism of the drugs in the presence of the inhibitors, the kinetics of the dialysis process, and the observed extent of binding was then used with a kinetic model of the system to give true free fractions of the drugs in live hepatocytes. Further studies show that, for this set of compounds, there is no significant difference in the extent of binding to live or dead hepatocytes. The extent of hepatocyte binding is correlated with lipophilicity, and the best model for binding uses log P for basic compounds and log D(7.4) for acidic and neutral compounds. Hepatocyte binding is also demonstrated to be highly correlated with microsome binding.

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Year:  2004        PMID: 15616151     DOI: 10.1124/dmd.104.002436

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


  16 in total

1.  Physiologically based modeling of pravastatin transporter-mediated hepatobiliary disposition and drug-drug interactions.

Authors:  Manthena V S Varma; Yurong Lai; Bo Feng; John Litchfield; Theunis C Goosen; Arthur Bergman
Journal:  Pharm Res       Date:  2012-05-26       Impact factor: 4.200

Review 2.  Modeling kinetics of subcellular disposition of chemicals.

Authors:  Stefan Balaz
Journal:  Chem Rev       Date:  2009-05       Impact factor: 60.622

3.  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

4.  A novel variant of the 13C-methacetin liver function breath test that eliminates the confounding effect of individual differences in systemic CO2 kinetics.

Authors:  Hermann-Georg Holzhütter; Tilo Wuensch; Robert Gajowski; Nikolaus Berndt; Sascha Bulik; David Meierhofer; Martin Stockmann
Journal:  Arch Toxicol       Date:  2020-02-04       Impact factor: 5.153

5.  Consideration of the Unbound Drug Concentration in Enzyme Kinetics.

Authors:  Nigel J Waters; R Scott Obach; Li Di
Journal:  Methods Mol Biol       Date:  2021

6.  Drug Distribution. Part 1. Models to Predict Membrane Partitioning.

Authors:  Swati Nagar; Ken Korzekwa
Journal:  Pharm Res       Date:  2016-12-15       Impact factor: 4.200

7.  Comparison of the inhibitory profiles of itraconazole and cimetidine in cytochrome P450 3A4 genetic variants.

Authors:  Takeshi Akiyoshi; Takashi Saito; Saori Murase; Mitsue Miyazaki; Norie Murayama; Hiroshi Yamazaki; F Peter Guengerich; Katsunori Nakamura; Koujirou Yamamoto; Hisakazu Ohtani
Journal:  Drug Metab Dispos       Date:  2011-01-06       Impact factor: 3.922

Review 8.  Intracellular drug concentrations and transporters: measurement, modeling, and implications for the liver.

Authors:  X Chu; K Korzekwa; R Elsby; K Fenner; A Galetin; Y Lai; P Matsson; A Moss; S Nagar; G R Rosania; J P F Bai; J W Polli; Y Sugiyama; K L R Brouwer
Journal:  Clin Pharmacol Ther       Date:  2013-04-10       Impact factor: 6.875

9.  Modelling and PBPK simulation in drug discovery.

Authors:  Hannah M Jones; Iain B Gardner; Kenny J Watson
Journal:  AAPS J       Date:  2009-03-12       Impact factor: 4.009

Review 10.  Successful and Unsuccessful Prediction of Human Hepatic Clearance for Lead Optimization.

Authors:  Jasleen K Sodhi; Leslie Z Benet
Journal:  J Med Chem       Date:  2021-03-25       Impact factor: 7.446

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