Literature DB >> 28887366

Clearance Prediction Methodology Needs Fundamental Improvement: Trends Common to Rat and Human Hepatocytes/Microsomes and Implications for Experimental Methodology.

F L Wood1, J B Houston1, D Hallifax2.   

Abstract

Although prediction of clearance using hepatocytes and liver microsomes has long played a decisive role in drug discovery, it is widely acknowledged that reliably accurate prediction is not yet achievable despite the predominance of hepatically cleared drugs. Physiologically mechanistic methodology tends to underpredict clearance by several fold, and empirical correction of this bias is confounded by imprecision across drugs. Understanding the causes of prediction uncertainty has been slow, possibly reflecting poor resolution of variables associated with donor source and experimental methods, particularly for the human situation. It has been reported that among published human hepatocyte predictions there was a tendency for underprediction to increase with increasing in vivo intrinsic clearance, suggesting an inherent limitation using this particular system. This implied an artifactual rate limitation in vitro, although preparative effects on cell stability and performance were not yet resolved from assay design limitations. Here, to resolve these issues further, we present an up-to-date and comprehensive examination of predictions from published rat as well as human studies (where n = 128 and 101 hepatocytes and n = 71 and 83 microsomes, respectively) to assess system performance more independently. We report a clear trend of increasing underprediction with increasing in vivo intrinsic clearance, which is similar both between species and between in vitro systems. Hence, prior concerns arising specifically from human in vitro systems may be unfounded and the focus of investigation in the future should be to minimize the potential in vitro assay limitations common to whole cells and subcellular fractions.
Copyright © 2017 by The American Society for Pharmacology and Experimental Therapeutics.

Entities:  

Mesh:

Year:  2017        PMID: 28887366     DOI: 10.1124/dmd.117.077040

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


  32 in total

1.  Further Assessment of the Relay Hepatocyte Assay for Determination of Intrinsic Clearance of Slowly Metabolised Compounds Using Radioactivity Monitoring and LC-MS Methods.

Authors:  Renata Murgasova
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2019-12       Impact factor: 2.441

2.  Mechanistic Assessment of Extrahepatic Contributions to Glucuronidation of Integrase Strand Transfer Inhibitors.

Authors:  Stephanie N Liu; Jessica Bo Li Lu; Christy J W Watson; Philip Lazarus; Zeruesenay Desta; Brandon T Gufford
Journal:  Drug Metab Dispos       Date:  2019-02-25       Impact factor: 3.922

3.  The Presence of a Transporter-Induced Protein Binding Shift: A New Explanation for Protein-Facilitated Uptake and Improvement for In Vitro-In Vivo Extrapolation.

Authors:  Christine M Bowman; Hideaki Okochi; Leslie Z Benet
Journal:  Drug Metab Dispos       Date:  2019-01-23       Impact factor: 3.922

4.  Interlaboratory Variability in Human Hepatocyte Intrinsic Clearance Values and Trends with Physicochemical Properties.

Authors:  Christine M Bowman; Leslie Z Benet
Journal:  Pharm Res       Date:  2019-05-31       Impact factor: 4.200

5.  Seeking Nonspecific Binding: Assessing the Reliability of Tissue Dilutions for Calculating Fraction Unbound.

Authors:  William J Jusko; Emilie A G Molins; Vivaswath S Ayyar
Journal:  Drug Metab Dispos       Date:  2020-08-05       Impact factor: 3.922

6.  Evaluating In Vitro-In Vivo Extrapolation of Toxicokinetics.

Authors:  John F Wambaugh; Michael F Hughes; Caroline L Ring; Denise K MacMillan; Jermaine Ford; Timothy R Fennell; Sherry R Black; Rodney W Snyder; Nisha S Sipes; Barbara A Wetmore; Joost Westerhout; R Woodrow Setzer; Robert G Pearce; Jane Ellen Simmons; Russell S Thomas
Journal:  Toxicol Sci       Date:  2018-05-01       Impact factor: 4.849

7.  In Vitro-In Vivo Inaccuracy: The CYP3A4 Anomaly.

Authors:  Christine M Bowman; Leslie Z Benet
Journal:  Drug Metab Dispos       Date:  2019-09-24       Impact factor: 3.922

8.  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

9.  Albumin-Mediated Uptake Improves Human Clearance Prediction for Hepatic Uptake Transporter Substrates Aiding a Mechanistic In Vitro-In Vivo Extrapolation (IVIVE) Strategy in Discovery Research.

Authors:  Na Li; Akshay Badrinarayanan; Kazuya Ishida; Xingwen Li; John Roberts; Shuai Wang; Mike Hayashi; Anshul Gupta
Journal:  AAPS J       Date:  2020-11-16       Impact factor: 4.009

10.  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

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