Literature DB >> 32305951

Are There Any Experimental Perfusion Data that Preferentially Support the Dispersion and Parallel-Tube Models over the Well-Stirred Model of Organ Elimination?

Jasleen K Sodhi1, Hong-Jaan Wang1, Leslie Z Benet2.   

Abstract

In reviewing previously published isolated perfused rat liver studies, we find no experimental data for high-clearance metabolized drugs that reasonably or unambiguously support preference for the dispersion and parallel-tube models versus the well-stirred model of organ elimination when only entering and exiting drug concentrations are available. It is likely that the investigators cited here may have been influenced by: 1) the unphysiologic aspects of the well-stirred model, which may have led them to undervalue the studies that directly test the various hepatic disposition models for high-clearance drugs (for which model differences are the greatest); 2) experimental assumptions made in the last century, which are no longer valid today, related to the predictability of in vivo outcomes from in vitro measures of drug elimination and the influence of albumin in hepatic drug uptake; and 3) a lack of critical review of previously reported experimental studies, resulting in inappropriate interpretation of the available experimental data. The number of papers investigating the theoretical aspects of the dispersion, parallel-tube, and well-stirred models of hepatic elimination greatly outnumber the papers that actually examine the experimental evidence available to substantiate these models. When all experimental studies that measure organ elimination using entering and exiting drug concentrations at steady state are critically reviewed, the simple but unphysiologic well-stirred model is the only model that can describe all trustworthy published available data. SIGNIFICANCE STATEMENT: Although the dispersion model of hepatic elimination more adequately reflects physiologic reality, there are no convincing experimental data that unambiguously favor this model. The well-stirred model can describe all well-designed perfusion studies with high-clearance drugs and nondrug substrates, but the field has not recognized this because of hesitation to accept a nonphysiologic model and flawed attempts to utilize in vitro-in vivo extrapolation approaches.
Copyright © 2020 by The American Society for Pharmacology and Experimental Therapeutics.

Entities:  

Year:  2020        PMID: 32305951      PMCID: PMC7289046          DOI: 10.1124/dmd.120.090530

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.922


  28 in total

1.  Prediction of human metabolic clearance from in vitro systems: retrospective analysis and prospective view.

Authors:  David Hallifax; Joanne A Foster; J Brian Houston
Journal:  Pharm Res       Date:  2010-07-27       Impact factor: 4.200

2.  A carrier-protein receptor is not a prerequisite for avid hepatic elimination of highly bound compounds: a study of propranolol elimination by the isolated perfused rat liver.

Authors:  D B Jones; M S Ching; R A Smallwood; D J Morgan
Journal:  Hepatology       Date:  1985 Jul-Aug       Impact factor: 17.425

3.  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

4.  Effect of plasma protein binding on elimination of taurocholate by isolated perfused rat liver: comparison of venous equilibrium, undistributed and distributed sinusoidal, and dispersion models.

Authors:  R H Smallwood; D J Morgan; G W Mihaly; D B Jones; R A Smallwood
Journal:  J Pharmacokinet Biopharm       Date:  1988-08

5.  Commentary on "The Universally Unrecognized Assumption in Predicting Drug Clearance and Organ Extraction Ratio".

Authors:  Malcolm Rowland; K Sandy Pang
Journal:  Clin Pharmacol Ther       Date:  2017-11-14       Impact factor: 6.875

6.  Physiologic models of hepatic drug clearance: influence of altered protein binding on the elimination of diclofenac in the isolated perfused rat liver.

Authors:  Z Hussein; A M Evans; M Rowland
Journal:  J Pharm Sci       Date:  1993-09       Impact factor: 3.534

7.  Validation of simple and complex models in physiology and medicine.

Authors:  C Cobelli; E R Carson; L Finkelstein; M S Leaning
Journal:  Am J Physiol       Date:  1984-02

8.  Extrapolation of the Hepatic Clearance of Drugs in the Absence of Albumin In Vitro to That in the Presence of Albumin In Vivo: Comparative Assessement of 2 Extrapolation Models Based on the Albumin-Mediated Hepatic Uptake Theory and Limitations and Mechanistic Insights.

Authors:  Patrick Poulin; Sami Haddad
Journal:  J Pharm Sci       Date:  2018-03-20       Impact factor: 3.534

9.  First-order clearance of plasma galactose: the effect of liver disease.

Authors:  J M Henderson; M H Kutner; R P Bain
Journal:  Gastroenterology       Date:  1982-11       Impact factor: 22.682

10.  Models of hepatic elimination: implications from studies of the simultaneous elimination of taurocholate and diazepam by isolated rat liver under varying conditions of binding.

Authors:  M S Ching; D J Morgan; R A Smallwood
Journal:  J Pharmacol Exp Ther       Date:  1989-09       Impact factor: 4.030

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  6 in total

1.  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 2.  Can In Vitro-In Vivo Extrapolation Be Successful? Recognizing the Incorrect Clearance Assumptions.

Authors:  Leslie Z Benet; Jasleen K Sodhi
Journal:  Clin Pharmacol Ther       Date:  2021-12-08       Impact factor: 6.903

Review 3.  Successful and Unsuccessful Prediction of Human Hepatic Clearance for Lead Optimization.

Authors:  Jasleen K Sodhi; Leslie Z Benet
Journal:  J Med Chem       Date:  2021-03-25       Impact factor: 7.446

4.  There is Only One Valid Definition of Clearance: Critical Examination of Clearance Concepts Reveals the Potential for Errors in Clinical Drug Dosing Decisions.

Authors:  Leslie Z Benet; Jasleen K Sodhi; George Makrygiorgos; Ali Mesbah
Journal:  AAPS J       Date:  2021-05-10       Impact factor: 4.009

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

Authors:  Jaydeep Yadav; Mehdi El Hassani; Jasleen Sodhi; Volker M Lauschke; Jessica H Hartman; Laura E Russell
Journal:  Drug Metab Rev       Date:  2021-05-25       Impact factor: 6.984

6.  Utilizing virtual experiments to increase understanding of discrepancies involving in vitro-to-in vivo predictions of hepatic clearance.

Authors:  Preethi Krishnan; Andrew K Smith; Glen E P Ropella; Lopamudra Dutta; Ryan C Kennedy; C Anthony Hunt
Journal:  PLoS One       Date:  2022-07-22       Impact factor: 3.752

  6 in total

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