Literature DB >> 2178850

Clinical significance of pharmacokinetic models of hepatic elimination.

D J Morgan1, R A Smallwood.   

Abstract

Various pharmacokinetic models, both simple and complex, have been developed to describe the way in which the rate of hepatic elimination of drugs depends on hepatic blood flow, hepatic intrinsic clearance and unbound fraction of drug in blood. A model is necessary because it is not possible to measure the average blood concentration of drug within the liver, i.e. the concentration at the site of drug elimination. However, the predictions of these models can differ markedly for drugs of high hepatic clearance, especially with the oral route of administration. Investigations of the models have mostly involved studies with in vitro experimental preparations, such as isolated perfused livers. While such studies have advanced our understanding of the mechanism of hepatic uptake and elimination processes, the implications for clinical drug usage have been somewhat neglected. Use of one of the available models is necessary for the assessment of the capacity of in vivo hepatic drug metabolism processes (i.e. hepatic intrinsic clearance) and for predicting the effect of increasing dose on blood concentrations of high clearance drugs exhibiting Michaelis-Menten elimination kinetics, especially those that undergo a nonlinear hepatic first-pass effect. Clinically significant differences between the models can occur under these circumstances. A model is also required for quantitative prediction of the effect on blood drug concentrations of changes in hepatic blood flow, hepatic intrinsic clearance or drug-protein binding in blood. It is in predicting these changes that differences of major clinical significance can occur between the models. The greatest differences are seen in predicting the effect for orally administered drugs of changes of hepatic blood flow on blood concentrations, and changes of protein binding on unbound blood concentrations of drug. These changes can result from disease processes, altered physiology (old age or pregnancy), food intake or concomitant administration of other drugs. A model is also required for determining the mechanism by which such clinical changes occur. When considering these effects on hepatic elimination, it is essential to appreciate that the conclusions may depend markedly on the particular model chosen. Until more data on the applicability of the models are obtained in humans, the undistributed sinusoidal and venous equilibrium models, which represent the opposite extremes of behaviour among the available models, should both be used in assessing hepatic drug elimination.

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Year:  1990        PMID: 2178850     DOI: 10.2165/00003088-199018010-00004

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   6.447


  109 in total

1.  Enhancement of the bioavailability of propranolol and metoprolol by food.

Authors:  A Melander; K Danielson; B Scherstén; E Wåhlin
Journal:  Clin Pharmacol Ther       Date:  1977-07       Impact factor: 6.875

2.  Modeling of substrate elimination by the liver: has the albumin receptor model superseded the well-stirred model?

Authors:  D J Morgan; D B Jones; R A Smallwood
Journal:  Hepatology       Date:  1985 Nov-Dec       Impact factor: 17.425

Review 3.  Drug binding to human alpha-1-acid glycoprotein in health and disease.

Authors:  J M Kremer; J Wilting; L H Janssen
Journal:  Pharmacol Rev       Date:  1988-03       Impact factor: 25.468

4.  Predictability of verapamil steady-state plasma levels from single-dose data explained.

Authors:  J G Wagner
Journal:  Clin Pharmacol Ther       Date:  1984-07       Impact factor: 6.875

5.  A nonlinear physiologic pharmacokinetic model: I. Steady-state.

Authors:  J G Wagner; G J Szpunar; J J Ferry
Journal:  J Pharmacokinet Biopharm       Date:  1985-02

6.  Effect of food on hepatic blood flow: implications in the "food effect" phenomenon.

Authors:  C K Svensson; D J Edwards; P M Mauriello; S H Barde; A C Foster; R A Lanc; E Middleton; D Lalka
Journal:  Clin Pharmacol Ther       Date:  1983-09       Impact factor: 6.875

7.  Pharmacokinetic and pharmacodynamic studies with long-acting propranolol.

Authors:  J McAinsh; N S Baber; R Smith; J Young
Journal:  Br J Clin Pharmacol       Date:  1978-08       Impact factor: 4.335

8.  A method of determining intrinsic hepatic clearance from the first-pass effect.

Authors:  L Bass; K Winkler
Journal:  Clin Exp Pharmacol Physiol       Date:  1980 May-Jun       Impact factor: 2.557

9.  Stable oral availability of sustained release propranolol when co-administered with hydralazine or food: evidence implicating substrate delivery rate as a determinant of presystemic drug interactions.

Authors:  A J Byrne; J J McNeil; P M Harrison; W Louis; A M Tonkin; A J McLean
Journal:  Br J Clin Pharmacol       Date:  1984       Impact factor: 4.335

10.  Hepatic sequestration and biliary secretion of epidermal growth factor: evidence for a high-capacity uptake system.

Authors:  R J St Hilaire; G T Hradek; A L Jones
Journal:  Proc Natl Acad Sci U S A       Date:  1983-06       Impact factor: 11.205

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  12 in total

1.  Optimal experimental design for precise estimation of the parameters of the axial dispersion model of hepatic elimination.

Authors:  C H Chou; L Aarons; M Rowland
Journal:  J Pharmacokinet Biopharm       Date:  1998-10

Review 2.  Nonlinear pharmacokinetics: clinical Implications.

Authors:  T M Ludden
Journal:  Clin Pharmacokinet       Date:  1991-06       Impact factor: 6.447

3.  Axial tissue diffusion can account for the disparity between current models of hepatic elimination for lipophilic drugs.

Authors:  L P Rivory; M S Roberts; S M Pond
Journal:  J Pharmacokinet Biopharm       Date:  1992-02

Review 4.  Assessment of liver metabolic function. Clinical implications.

Authors:  J Brockmöller; I Roots
Journal:  Clin Pharmacokinet       Date:  1994-09       Impact factor: 6.447

Review 5.  Pharmacokinetic of antiepileptic drugs in patients with hepatic or renal impairment.

Authors:  Gail D Anderson; Shahin Hakimian
Journal:  Clin Pharmacokinet       Date:  2014-01       Impact factor: 6.447

Review 6.  What is the true clinical significance of plasma protein binding displacement interactions?

Authors:  L N Sansom; A M Evans
Journal:  Drug Saf       Date:  1995-04       Impact factor: 5.606

Review 7.  Pregnancy-induced changes in pharmacokinetics: a mechanistic-based approach.

Authors:  Gail D Anderson
Journal:  Clin Pharmacokinet       Date:  2005       Impact factor: 6.447

Review 8.  Effect of hepatic insufficiency on pharmacokinetics and drug dosing.

Authors:  R K Verbeeck; Y Horsmans
Journal:  Pharm World Sci       Date:  1998-10

Review 9.  Effect of pregnancy on the pharmacokinetics of antihypertensive drugs.

Authors:  Gail D Anderson; Darcy B Carr
Journal:  Clin Pharmacokinet       Date:  2009       Impact factor: 6.447

10.  Assessment of hepatic blood flow using continuous infusion of high clearance drugs.

Authors:  R C Schoemaker; J Burggraaf; A F Cohen
Journal:  Br J Clin Pharmacol       Date:  1998-05       Impact factor: 4.335

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