Literature DB >> 1629793

A comparative investigation of hepatic clearance models: predictions of metabolite formation and elimination.

M V St-Pierre1, P I Lee, K S Pang.   

Abstract

Liver clearance models serve to improve our understanding of the relationships between the physiological determinants and hepatic clearance and predict changes in the disposition of substrates when homeostasis of the organ is perturbed. Their ability to describe metabolism was presently extended to the sequential formation and elimination of primary (M1), secondary (M2), and tertiary (M3) metabolites during a single passage of drug (P) across the liver, under steady state and first-order conditions. The well-stirred model is distinct from other models in that metabolite formation and elimination is independent of enzymic distributions, the number of steps involved in metabolite formation, and the intrinsic clearances of the precursors. This model predicts that the extraction ratio of a formed primary metabolite derived from drug (E[M1, P]) is identical to that for the preformed primary metabolite (E[M1]), and that the extraction ratios of a secondary metabolite derived from drug (E[M2, P]) and primary metabolite (E[M2, M1]) or preformed secondary metabolite (E[M2]) are identical. For the more physiologically acceptable, parallel-tube and dispersion models, metabolite sequential elimination is highly influenced by the intrinsic clearances of the precursors and the enzymic distributions that mediate removal of precursor species and the metabolites. Furthermore, the extent of sequential metabolism recedes as the number of steps involved for metabolite formation increases. These models predict that E[M1, P] less than E[M1], and E[M2, P] less than E[M2, M1] less than E[M2], with the magnitude of the changes being less for the dispersion model than for the parallel-tube model. Competing pathways that divert substrate from entering the sequential pathway were found to exert only minimal influence on the sequential pathway.

Mesh:

Year:  1992        PMID: 1629793     DOI: 10.1007/bf01070998

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


  70 in total

1.  Competing pathways in drug metabolism. I. Effect of input concentration on the conjugation of gentisamide in the once-through in situ perfused rat liver preparation.

Authors:  M E Morris; V Yuen; B K Tang; K S Pang
Journal:  J Pharmacol Exp Ther       Date:  1988-05       Impact factor: 4.030

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Authors:  D G Shand; R H Cotham; G R Wilkinson
Journal:  Life Sci       Date:  1976-07-01       Impact factor: 5.037

3.  Effects of perfusate flow rate on measured blood volume, disse space, intracellular water space, and drug extraction in the perfused rat liver preparation: characterization by the multiple indicator dilution technique.

Authors:  K S Pang; W F Lee; W F Cherry; V Yuen; J Accaputo; S Fayz; A J Schwab; C A Goresky
Journal:  J Pharmacokinet Biopharm       Date:  1988-12

4.  A dispersion model of hepatic elimination: 1. Formulation of the model and bolus considerations.

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

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Authors:  J R Gillette
Journal:  Ann N Y Acad Sci       Date:  1971-07-06       Impact factor: 5.691

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

7.  Protein binding and hepatic clearance: discrimination between models of hepatic clearance with diazepam, a drug of high intrinsic clearance, in the isolated perfused rat liver preparation.

Authors:  M Rowland; D Leitch; G Fleming; B Smith
Journal:  J Pharmacokinet Biopharm       Date:  1984-04

8.  Sequential first-pass elimination of a metabolite derived from a precursor.

Authors:  K S Pang; J R Gillette
Journal:  J Pharmacokinet Biopharm       Date:  1979-06

9.  An enzyme-distributed system for lidocaine metabolism in the perfused rat liver preparation.

Authors:  K S Pang; J A Terrell; S D Nelson; K F Feuer; M J Clements; L Endrenyi
Journal:  J Pharmacokinet Biopharm       Date:  1986-04

10.  Albumin influences sulfobromophthalein transport by hepatocytes of each acinar zone.

Authors:  D L Gumucio; J J Gumucio; J A Wilson; C Cutter; M Krauss; R Caldwell; E Chen
Journal:  Am J Physiol       Date:  1984-01
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  3 in total

1.  Application of the dispersion model for description of the outflow dilution profiles of noneliminated reference indicators in rat liver perfusion studies.

Authors:  A J Schwab; W Geng; K S Pang
Journal:  J Pharmacokinet Biopharm       Date:  1998-04

2.  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

3.  Concentration-dependent metabolism of diazepam in mouse liver.

Authors:  M V St-Pierre; K S Pang
Journal:  J Pharmacokinet Biopharm       Date:  1995-06
  3 in total

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