Literature DB >> 1682446

A two-compartment dispersion model describes the hepatic outflow profile of diclofenac in the presence of its binding protein.

A M Evans1, Z Hussein, M Rowland.   

Abstract

The residence-time distribution (RTD) of diclofenac in the rat single-pass isolated perfused in-situ liver (n = 4) was determined after bolus input into the hepatic portal vein. Addition of human serum albumin (5 g L-1) ensured extensive (greater than 98%) binding of diclofenac within the perfusate. The one-compartment form of the axial dispersion model of hepatic elimination, which assumes instantaneous radial distribution of substrate within the accessible spaces of the liver, failed to describe adequately the RTD of diclofenac. In contrast, the two-compartment form of this model, which assumes that the radial transfer of unbound substrate between the vascular and cellular space is non-instantaneous, provided an excellent description of the diclofenac data. Moreover, the mean (+/- s.d.) value for the hepatic dispersion number (DN) for diclofenac (0.354 +/- 0.076) compared well with that determined for simultaneously injected [125I]human serum albumin (0.456 +/- 0.078) using the one-compartment dispersion model. These estimates of DN, a stochastic parameter which characterizes the axial spreading of individual elements during transit through the liver, were similar in magnitude to those reported for other tracers in the rat perfused liver. The findings suggest that common factors influenced the RTD of diclofenac and its binding protein, and indicate that the two-compartment dispersion model may be a valuable tool for interpreting hepatic impulse-response data for solutes whose hepatic distribution and elimination is influenced by membrane permeability.

Entities:  

Mesh:

Substances:

Year:  1991        PMID: 1682446     DOI: 10.1111/j.2042-7158.1991.tb03463.x

Source DB:  PubMed          Journal:  J Pharm Pharmacol        ISSN: 0022-3573            Impact factor:   3.765


  9 in total

1.  Modeling of hepatic elimination and organ distribution kinetics with the extended convection-dispersion model.

Authors:  M S Roberts; Y G Anissimov
Journal:  J Pharmacokinet Biopharm       Date:  1999-08

2.  A compartmental model of hepatic disposition kinetics: 1. Model development and application to linear kinetics.

Authors:  Yuri G Anissimov; Michael S Roberts
Journal:  J Pharmacokinet Pharmacodyn       Date:  2002-04       Impact factor: 2.745

3.  Effects of old age on vascular complexity and dispersion of the hepatic sinusoidal network.

Authors:  Alessandra Warren; Slawomir Chaberek; Kazimierz Ostrowski; Victoria C Cogger; Sarah N Hilmer; Robert S McCuskey; Robin Fraser; David G Le Couteur
Journal:  Microcirculation       Date:  2008-04       Impact factor: 2.628

4.  Metabolite mean transit times in the liver as predicted by various models of hepatic elimination.

Authors:  G D Mellick; Y G Anissimov; A J Bracken; M S Roberts
Journal:  J Pharmacokinet Biopharm       Date:  1997-08

5.  Cytoplasmic binding and disposition kinetics of diclofenac in the isolated perfused rat liver.

Authors:  M Weiss; O Kuhlmann; D Y Hung; M S Roberts
Journal:  Br J Pharmacol       Date:  2000-07       Impact factor: 8.739

6.  Application of the axial dispersion model of hepatic drug elimination to the kinetics of diazepam in the isolated perfused rat liver.

Authors:  J M Díaz-García; A M Evans; M Rowland
Journal:  J Pharmacokinet Biopharm       Date:  1992-04

7.  Stereoselective hepatic disposition of model diastereomeric acyl glucuronides.

Authors:  David M Shackleford; Roger L Nation; R W Milne; P J Hayball; Allan M Evans
Journal:  J Pharmacokinet Pharmacodyn       Date:  2004-02       Impact factor: 2.745

8.  Distribution kinetics of salicylic acid in the isolated perfused rat liver assessed using moment analysis and the two-compartment axial dispersion model.

Authors:  Z Hussein; A J McLachlan; M Rowland
Journal:  Pharm Res       Date:  1994-09       Impact factor: 4.200

Review 9.  Drug structure-transport relationships.

Authors:  Michael S Roberts
Journal:  J Pharmacokinet Pharmacodyn       Date:  2010-11-24       Impact factor: 2.745

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.