Literature DB >> 9561490

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

G D Mellick1, Y G Anissimov, A J Bracken, M S Roberts.   

Abstract

Predicted area under curve (AUC), mean transit time (MTT) and normalized variance (CV2) data have been compared for parent compound and generated metabolite following an impulse input into the liver. Models studied were the well-stirred (tank) model, tube model, a distributed tube model, dispersion model (Danckwerts and mixed boundary conditions) and tanks-in-series model. It is well known that discrimination between models for a parent solute is greatest when the parent solute is highly extracted by the liver. With the metabolite, greatest model differences for MTT and CV2 occur when parent solute is poorly extracted. In all cases the predictions of the distributed tube, dispersion, and tanks-in-series models are between the predictions of the tank and tube models. The dispersion model with mixed boundary conditions yields identical predictions to those for the distributed tube model (assuming an inverse gaussian distribution of tube transit times). The dispersion model with Danckwerts boundary conditions and the tanks-in series models give similar predictions to the dispersion (mixed boundary conditions) and the distributed tube. The normalized variance for parent compound is dependent upon hepatocyte permeability only within a distinct range of permeability values. This range is similar for each model but the order of magnitude predicted for normalized variance is model dependent. Only for a one-compartment system is the MTT for generated metabolite equal to the sum of MTTs for the parent compound and preformed metabolite administered as parent.

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Year:  1997        PMID: 9561490     DOI: 10.1023/a:1025797126763

Source DB:  PubMed          Journal:  J Pharmacokinet Biopharm        ISSN: 0090-466X


  45 in total

1.  Interconnected-tubes model of hepatic elimination.

Authors:  Y G Anissimov; A J Bracken; M S Roberts
Journal:  J Theor Biol       Date:  1997-09-07       Impact factor: 2.691

2.  Two-compartment dispersion model for analysis of organ perfusion system of drugs by fast inverse Laplace transform (FILT).

Authors:  Y Yano; K Yamaoka; Y Aoyama; H Tanaka
Journal:  J Pharmacokinet Biopharm       Date:  1989-04

3.  A dispersion model of hepatic elimination: 3. Application to metabolite formation and elimination kinetics.

Authors:  M S Roberts; M Rowland
Journal:  J Pharmacokinet Biopharm       Date:  1986-06

4.  On the relation between extended forms of the sinusoidal perfusion and of the convection-dispersion models of hepatic elimination.

Authors:  L Bass; M S Roberts; P J Robinson
Journal:  J Theor Biol       Date:  1987-06-21       Impact factor: 2.691

5.  Clearance concepts in pharmacokinetics.

Authors:  M Rowland; L Z Benet; G G Graham
Journal:  J Pharmacokinet Biopharm       Date:  1973-04

6.  Models of hepatic drug clearance: discrimination between the 'well stirred' and 'parallel-tube' models.

Authors:  A B Ahmad; P N Bennett; M Rowland
Journal:  J Pharm Pharmacol       Date:  1983-04       Impact factor: 3.765

7.  The series-compartment model for hepatic elimination.

Authors:  M R Gray; Y K Tam
Journal:  Drug Metab Dispos       Date:  1987 Jan-Feb       Impact factor: 3.922

8.  Hepatic elimination--dispersion model.

Authors:  M S Roberts; M Rowland
Journal:  J Pharm Sci       Date:  1985-05       Impact factor: 3.534

9.  Hepatic elimination of flowing substrates: the distributed model.

Authors:  L Bass; P Robinson; A J Bracken
Journal:  J Theor Biol       Date:  1978-05-08       Impact factor: 2.691

10.  The disposition of aspirin and salicylic acid in the isolated perfused rat liver: the effect of normal and retrograde flow on availability and mean transit time.

Authors:  G D Mellick; M S Roberts
Journal:  J Pharm Pharmacol       Date:  1996-07       Impact factor: 3.765

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  1 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
  1 in total

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