Literature DB >> 16188462

Investigation of the utility of published in vitro intrinsic clearance data for prediction of in vivo clearance.

Rakesh Nagilla1, Kelly A Frank, Larry J Jolivette, Keith W Ward.   

Abstract

INTRODUCTION: This study was conducted to compare and contrast published in vitro intrinsic clearance values reported for compounds from different laboratories and the predictivity of these data to project in vivo clearance.
METHODS: A total of 103 compounds were selected for investigation and an exhaustive literature search was conducted to identify in vitro intrinsic clearance (CL,i) values for comparative purposes. The simple well-stirred model was used to predict in vivo clearance using these in vitro intrinsic clearance values.
RESULTS: Data were available in the literature for <10% of the compounds of interest in rat, dog, monkey, or human S9, as well as <10% for dog or monkey microsomes or hepatocytes. Therefore, this comparative exercise was limited to rat and human microsomes and hepatocytes. Examination of the available CL,i values indicated a substantial (up to 100 s-fold) variation in values reported in the literature; this variability translated into substantial variation in predicted in vivo clearance. DISCUSSION: The literature paucity and variability described here demonstrate the importance of generating experimentally consistent de novo CL,i data for the purpose of method validation or in vitro-in vivo scaling.

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Year:  2005        PMID: 16188462     DOI: 10.1016/j.vascn.2005.08.005

Source DB:  PubMed          Journal:  J Pharmacol Toxicol Methods        ISSN: 1056-8719            Impact factor:   1.950


  4 in total

1.  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

2.  Prediction of hepatic drug clearance with a human microfluidic four-cell liver acinus microphysiology system.

Authors:  Courtney Sakolish; Yu-Syuan Luo; Alan Valdiviezo; Lawrence A Vernetti; Ivan Rusyn; Weihsueh A Chiu
Journal:  Toxicology       Date:  2021-09-17       Impact factor: 4.221

Review 3.  Considerations and recent advances in QSAR models for cytochrome P450-mediated drug metabolism prediction.

Authors:  Haiyan Li; Jin Sun; Xiaowen Fan; Xiaofan Sui; Lan Zhang; Yongjun Wang; Zhonggui He
Journal:  J Comput Aided Mol Des       Date:  2008-06-24       Impact factor: 3.686

4.  In vitro hepatic biotransformation of the algal toxin pectenotoxin-2.

Authors:  Morten Sandvik; Christopher O Miles; Alistair L Wilkins; Christiane Fæste
Journal:  Toxicon X       Date:  2020-03-23
  4 in total

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