Literature DB >> 9561488

Organ clearance concepts: new perspectives on old principles.

G L Sirianni1, K S Pang.   

Abstract

The removal capacity of an eliminating organ by metabolism and/or excretion is often expressed as its clearance. Metabolic and excretory clearances are considered to be mutually independent, and the sum of these constitute the whole organ clearance. The influence of metabolism on estimates of the excretory clearance and vice versa was examined for the liver and kidney with physiologically based models. Mass transfer first-order rate equations describing transport and removal were derived. Upon inversion of the matrices originating from the coefficients of these equations, the area under the curve (AUC) and clearance (dose/AUC) were obtained with the liver or kidney as the eliminating organ. A more complex solution was found to exist for the kidney since glomerular filtration, secretion; reabsorption, and intrarenal metabolism were present. To ascertain the effect of excretion on estimates of the metabolic clearance as well as the effect of metabolism on estimates of the excretory clearance, intrinsic clearances for excretion or metabolism were set to zero. Clearance values were found to be altered when alternate pathways were present. Whereas excretory clearance estimates were consistently reduced in the presence of metabolism, metabolic clearance estimates were affected differentially by excretion and varied according to the site of metabolism. Excretion reduced metabolic clearance estimates when metabolism occurred intracellularly. If metabolism occurred intraluminally (e.g., on the renal brush border or luminal membrane), the metabolic clearance estimate could become higher since the substrate was made available to the enzymes following its excretion. As expected, these changes depended on the relative magnitudes of the intrinsic clearances for metabolism and excretion. The above theory was applied to the elimination of enalapril which is both metabolized and excreted by the perfused rat liver and kidney preparations. Data obtained in these studies were consistent with a set of published physiologic parameters denoting transfer and intrinsic clearances. Perturbations on clearance estimates were studied by setting the metabolic/excretory intrinsic clearance to zero, then to some finite value. In liver, the avid hepatocellular metabolism of enalapril reduced biliary clearance by 73%. For the kidney, the fractional excretion (FE or unbound excretory clearance/glomerular filtration rate) was decreased modestly (from 0.64 to 0.44) with intracellular esterolysis, whereas if metabolism had occurred intraluminally, FE would have been significantly decreased (from 1.8 to 0.45). Simulation results show clearly that clearance estimates are affected by the presence of alternate removal pathways, and question the well-established principle the metabolic and excretory clearance estimates are independent of each other.

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Year:  1997        PMID: 9561488     DOI: 10.1023/a:1025792925854

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


  35 in total

1.  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

2.  Clearance concepts in pharmacokinetics.

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

3.  Pathogenesis of calcium bilirubinate gallstone: role of E. coli, beta-glucuronidase and coagulation by inorganic ions, polyelectrolytes and agitation.

Authors:  T Maki
Journal:  Ann Surg       Date:  1966-07       Impact factor: 12.969

4.  Influence of intrarenal metabolism on the analysis of renal drug transport mechanisms.

Authors:  D E Smith; A R Kugler
Journal:  J Pharm Sci       Date:  1994-10       Impact factor: 3.534

5.  A physiological model for renal drug metabolism: enalapril esterolysis to enalaprilat in the isolated perfused rat kidney.

Authors:  I A de Lannoy; H Hirayama; K S Pang
Journal:  J Pharmacokinet Biopharm       Date:  1990-12

6.  Enalaprilat handling by the kidney: barrier-limited cell entry.

Authors:  A J Schwab; I A de Lannoy; C A Goresky; K Poon; K S Pang
Journal:  Am J Physiol       Date:  1992-11

7.  Normal and retrograde perfusion to probe the zonal distribution of sulfation and glucuronidation activities of harmol in the perfused rat liver preparation.

Authors:  K S Pang; H Koster; I C Halsema; E Scholtens; G J Mulder; R N Stillwell
Journal:  J Pharmacol Exp Ther       Date:  1983-03       Impact factor: 4.030

8.  The function of Gp170, the multidrug-resistance gene product, in the brush border of rat intestinal mucosa.

Authors:  S Hsing; Z Gatmaitan; I M Arias
Journal:  Gastroenterology       Date:  1992-03       Impact factor: 22.682

9.  Immunofluorescent localization of gamma-glutamyl transferase in rat and bovine tissues.

Authors:  A Szewczuk; H Milnerowicz; M V Polosatov; K A Sobiech
Journal:  Acta Histochem       Date:  1980       Impact factor: 2.479

10.  Intrabiliary glutathione hydrolysis. A source of glutamate in bile.

Authors:  N Ballatori; R Jacob; J L Boyer
Journal:  J Biol Chem       Date:  1986-06-15       Impact factor: 5.157

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  12 in total

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Journal:  Pharm Res       Date:  2015-07-09       Impact factor: 4.200

Review 2.  Advanced pharmacokinetic models based on organ clearance, circulatory, and fractal concepts.

Authors:  K Sandy Pang; Michael Weiss; Panos Macheras
Journal:  AAPS J       Date:  2007-06-29       Impact factor: 4.009

3.  When Does the Rate-Determining Step in the Hepatic Clearance of a Drug Switch from Sinusoidal Uptake to All Hepatobiliary Clearances? Implications for Predicting Drug-Drug Interactions.

Authors:  Gabriela I Patilea-Vrana; Jashvant D Unadkat
Journal:  Drug Metab Dispos       Date:  2018-08-16       Impact factor: 3.922

4.  Prediction of Drug Clearance from Enzyme and Transporter Kinetics.

Authors:  Priyanka R Kulkarni; Amir S Youssef; Aneesh A Argikar
Journal:  Methods Mol Biol       Date:  2021

Review 5.  How Transporters Have Changed Basic Pharmacokinetic Understanding.

Authors:  Leslie Z Benet; Christine M Bowman; Jasleen K Sodhi
Journal:  AAPS J       Date:  2019-09-03       Impact factor: 4.009

6.  Transport vs. Metabolism: What Determines the Pharmacokinetics and Pharmacodynamics of Drugs? Insights From the Extended Clearance Model.

Authors:  G Patilea-Vrana; J D Unadkat
Journal:  Clin Pharmacol Ther       Date:  2016-08-27       Impact factor: 6.875

7.  The Extended Clearance Concept Following Oral and Intravenous Dosing: Theory and Critical Analyses.

Authors:  Leslie Z Benet; Christine M Bowman; Shufang Liu; Jasleen K Sodhi
Journal:  Pharm Res       Date:  2018-10-22       Impact factor: 4.200

8.  Challenging the Relevance of Unbound Tissue-to-Blood Partition Coefficient (Kpuu) on Prediction of Drug-Drug Interactions.

Authors:  Jasleen K Sodhi; Shuaibing Liu; Leslie Z Benet
Journal:  Pharm Res       Date:  2020-03-25       Impact factor: 4.200

9.  Recent developments in in vitro and in vivo models for improved translation of preclinical pharmacokinetics and pharmacodynamics data.

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Journal:  Drug Metab Rev       Date:  2021-05-25       Impact factor: 6.984

10.  Interplay of drug metabolism and transport: a real phenomenon or an artifact of the site of measurement?

Authors:  Christopher J Endres; Michael G Endres; Jashvant D Unadkat
Journal:  Mol Pharm       Date:  2009 Nov-Dec       Impact factor: 5.364

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