Literature DB >> 3830717

Steroid metabolism in isolated rat hepatocytes.

J A Morais, J G Wagner.   

Abstract

In vivo predictability of results obtained from studies of drug metabolism using isolated rat hepatocytes is questionable, mainly because of modeling difficulties due to the simultaneously occurring substrate transferring processes. In the present study, an attempt was made at simplifying the models used to describe the kinetics of biotransformation by enzymes enclosed in a cellular environment. Viability assessment of the cell preparation indicated that the cell membrane was intact and functional. Six corticosteroids were used in these studies. Simplifying assumptions concerning uptake and protein binding were confirmed by running independent experiments. Progress curves of unchanged steroid disappearance from the cell suspending medium at different initial concentrations were used to either confirm applicability or detect deviations from simple Michaëlis-Menten behavior and were fitted to the appropriate kinetic models by means of nonlinear least-squares regression analysis. As an example, corticosterone extraction ratio obtained in this study compared well with literature values from intact rats. A linear correlation was found between the logarithm of the apparent first order rate constant (Vm/Km) obtained at low substrate concentrations and the logarithm of the oil/water partition coefficients of 17 alpha-hydroxyprogesterone, corticosterone and hydrocortisone.

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Year:  1985        PMID: 3830717     DOI: 10.1007/BF03189757

Source DB:  PubMed          Journal:  Eur J Drug Metab Pharmacokinet        ISSN: 0378-7966            Impact factor:   2.441


  36 in total

1.  A functional, active transport system for methotrexate in freshly isolated hepatocytes.

Authors:  D W Horne; W T Briggs; C Wagner
Journal:  Biochem Biophys Res Commun       Date:  1976-01-12       Impact factor: 3.575

2.  Systems approach to study of solute transport across membranes using suspension cultures of mammalian cells III: steady-state diffusion models.

Authors:  J S Turi; N F Ho; W I Higuchi; C Shipman
Journal:  J Pharm Sci       Date:  1975-04       Impact factor: 3.534

3.  Concentrations of ethanol in two segments of the vascular system.

Authors:  A J Sedman; P K Wilkinson; J G Wagner
Journal:  J Forensic Sci       Date:  1976-04       Impact factor: 1.832

4.  Dealkylation of alkoxybiphenyls by trout and frog liver preparations.

Authors:  P J Creaven; W H Davies; R T Williams
Journal:  Life Sci       Date:  1967-01-01       Impact factor: 5.037

5.  Isolated hepatocytes as a cellular model for studying drug metabolism.

Authors:  G L Lowery; D G Wolff; W R Bidlack
Journal:  Proc West Pharmacol Soc       Date:  1978

6.  The effect of carcinogenic and noncarcinogenic compounds on the O-dealkylating activity of the hepatic microsomal enzyme system of the rat.

Authors:  W H Davies; P J Creaven
Journal:  Biochem Pharmacol       Date:  1967-09-09       Impact factor: 5.858

7.  The direct linear plot. A new graphical procedure for estimating enzyme kinetic parameters.

Authors:  R Eisenthal; A Cornish-Bowden
Journal:  Biochem J       Date:  1974-06       Impact factor: 3.857

8.  Factors involved in the uptake of corticosterone by rat liver cells.

Authors:  M L Rao; G S Rao; J Eckel; H Breuer
Journal:  Biochim Biophys Acta       Date:  1977-12-22

9.  Structural approach to partitioning: Estimation of steroid partition coefficients based upon molecular constitution.

Authors:  G L Flynn
Journal:  J Pharm Sci       Date:  1971-03       Impact factor: 3.534

10.  Some remarks on compartmental analysis of uptake and washout data.

Authors:  C D Thron
Journal:  Life Sci       Date:  1978 Apr 3-17       Impact factor: 5.037

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  1 in total

1.  Modeling Corticosteroid Pharmacokinetics and Pharmacodynamics, Part I: Determination and Prediction of Dexamethasone and Methylprednisolone Tissue Binding in the Rat.

Authors:  Vivaswath S Ayyar; Dawei Song; Debra C DuBois; Richard R Almon; William J Jusko
Journal:  J Pharmacol Exp Ther       Date:  2019-06-13       Impact factor: 4.030

  1 in total

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