Literature DB >> 34731496

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

Leslie Z Benet1, Jasleen K Sodhi1.   

Abstract

For a number of years, our laboratory has been investigating the underlying reasons for the published poor in vitro-in vivo extrapolation (IVIVE) predictability of human clearance both from a theoretical and from an experimental perspective. Here, we critically examine clearance concepts and commonly employed IVIVE approaches, concluding that there is no theoretical reason that IVIVE should work, just as it does not. Our analysis, however, has identified 10 misconceptions and/or poorly understood aspects of clearance that are listed in the Conclusion section of this manuscript. Chief among these are that all published human drug clearance values are arterial clearances-clearance calculated as organ blood flow multiplied by the extraction ratio is the arterial clearance of the organ of elimination (and not the published drug clearance value)-and that the well-stirred model equation taught in all pharmacokinetic courses that relates organ blood flow, fraction unbound in blood, and intrinsic clearance has no validity. We further list 10 conclusions relating to the IVIVE process. The primary IVIVE-related conclusions are that the intrinsic clearance value determined from an in vitro incubation is an arterial intrinsic clearance, there is no theoretical basis upon which an arterial intrinsic clearance can be related to a whole-body arterial clearance to accomplish IVIVE, there are no published data demonstrating that in vitro intrinsic metabolic clearance can predict in vivo organ clearance as IVIVE assumes, and the scientific basis for the hypothesized albumin-mediated hepatic uptake phenomenon is invalid. We further propose three IVIVE process recommendations.
© 2021 The Authors. Clinical Pharmacology & Therapeutics © 2021 American Society for Clinical Pharmacology and Therapeutics.

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Mesh:

Year:  2021        PMID: 34731496      PMCID: PMC9542026          DOI: 10.1002/cpt.2482

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.903


  25 in total

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Authors:  G R Wilkinson; D G Shand
Journal:  Clin Pharmacol Ther       Date:  1975-10       Impact factor: 6.875

2.  Hepatic Clearance Predictions from In Vitro-In Vivo Extrapolation and the Biopharmaceutics Drug Disposition Classification System.

Authors:  Christine M Bowman; Leslie Z Benet
Journal:  Drug Metab Dispos       Date:  2016-08-12       Impact factor: 3.922

3.  The reduction of lidocaine clearance by dl-propranolol: an example of hemodynamic drug interaction.

Authors:  R A Branch; D G Shand; G R Wilkinson; A S Nies
Journal:  J Pharmacol Exp Ther       Date:  1973-02       Impact factor: 4.030

4.  Clearance concepts in pharmacokinetics.

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

5.  Preliminary model for methotrexate pharmacokinetics.

Authors:  K B Bischoff; R L Dedrick; D S Zaharko
Journal:  J Pharm Sci       Date:  1970-02       Impact factor: 3.534

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

Authors:  Jasleen K Sodhi; Hong-Jaan Wang; Leslie Z Benet
Journal:  Drug Metab Dispos       Date:  2020-04-17       Impact factor: 3.922

7.  Arterial and venous blood sampling in pharmacokinetic studies: azosemide in rabbits.

Authors:  S H Lee; W G Shin; M G Lee; N D Kim
Journal:  Biopharm Drug Dispos       Date:  1994-05       Impact factor: 1.627

8.  Investigating the Theoretical Basis for In Vitro-In Vivo Extrapolation (IVIVE) in Predicting Drug Metabolic Clearance and Proposing Future Experimental Pathways.

Authors:  Leslie Z Benet; Jasleen K Sodhi
Journal:  AAPS J       Date:  2020-09-10       Impact factor: 4.009

9.  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

10.  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

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