Literature DB >> 11560875

Prediction of human hepatic clearance from in vivo animal experiments and in vitro metabolic studies with liver microsomes from animals and humans.

Y Naritomi1, S Terashita, S Kimura, A Suzuki, A Kagayama, Y Sugiyama.   

Abstract

We investigated the quantitative prediction of human hepatic metabolic clearance from in vitro experiments focusing on cytochrome P450 metabolism with eight model compounds, FK1052, FK480, zolpidem, omeprazole, nicardipine, nilvadipine, diazepam, and diltiazem. For the compounds, in vivo human hepatic extraction ratios ranged widely from 0.03 to 0.87. In vitro and in vivo hepatic intrinsic clearance (CL(int)) values for each compound were measured and calculated in rats and/or dogs and humans. CL(int,in vitro) was determined from a substrate disappearance rate at 1 microM in hepatic microsomes, which was a useful method. CL(int,in vivo) was calculated from in vivo pharmacokinetic data using three frequent mathematical models (the well stirred, parallel-tube, and dispersion models). The human scaling factor values (CL(int,in vivo)/CL(int,in vitro)) showed marked difference among the model compounds (0.3-26.6-fold). On the other hand, most of the animal scaling factors were within 2-fold of the values in humans, suggesting that scaling factor values were similar in the different animal species. When human CL(int,in vitro) values were compared with the actual CL(int,in vivo), correlation was not necessarily good. By contrast, using human CL(int,in vitro) corrected with the rat and/or dog scaling factors yielded better predictions of CL(int,in vivo) that were mostly within 2-fold of the actual values. Furthermore, successful predictions of human CL(oral) and hepatic extraction ratio (E(H)) were obtained by use of the human CL(int,in vitro) corrected with animal scaling factors. The new variant method is a simple one, incorporating additional information from animal studies and providing a more reliable prediction of human hepatic clearance.

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Year:  2001        PMID: 11560875

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


  57 in total

1.  The use of in vitro metabolic stability for rapid selection of compounds in early discovery based on their expected hepatic extraction ratios.

Authors:  Yan Yi Lau; Gopal Krishna; Nathan P Yumibe; Diane E Grotz; Elpida Sapidou; Laura Norton; Inhou Chu; Cliff Chen; A D Soares; Chin-Chung Lin
Journal:  Pharm Res       Date:  2002-11       Impact factor: 4.200

Review 2.  Applications of human pharmacokinetic prediction in first-in-human dose estimation.

Authors:  Peng Zou; Yanke Yu; Nan Zheng; Yongsheng Yang; Hayley J Paholak; Lawrence X Yu; Duxin Sun
Journal:  AAPS J       Date:  2012-03-10       Impact factor: 4.009

3.  Metabolic assessment in liver microsomes by co-activating cytochrome P450s and UDP-glycosyltransferases.

Authors:  Z Yan; G W Caldwell
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2003 Jul-Sep       Impact factor: 2.441

Review 4.  Whole body pharmacokinetic models.

Authors:  Ivan Nestorov
Journal:  Clin Pharmacokinet       Date:  2003       Impact factor: 6.447

5.  Comparison of the use of liver models for predicting drug clearance using in vitro kinetic data from hepatic microsomes and isolated hepatocytes.

Authors:  Kiyomi Ito; J Brian Houston
Journal:  Pharm Res       Date:  2004-05       Impact factor: 4.200

6.  Incorporating human dosimetry and exposure into high-throughput in vitro toxicity screening.

Authors:  Daniel M Rotroff; Barbara A Wetmore; David J Dix; Stephen S Ferguson; Harvey J Clewell; Keith A Houck; Edward L Lecluyse; Melvin E Andersen; Richard S Judson; Cornelia M Smith; Mark A Sochaski; Robert J Kavlock; Frank Boellmann; Matthew T Martin; David M Reif; John F Wambaugh; Russell S Thomas
Journal:  Toxicol Sci       Date:  2010-07-16       Impact factor: 4.849

7.  A novel strategy for physiologically based predictions of human pharmacokinetics.

Authors:  Hannah M Jones; Neil Parrott; Karin Jorga; Thierry Lavé
Journal:  Clin Pharmacokinet       Date:  2006       Impact factor: 6.447

Review 8.  Computational approaches to analyse and predict small molecule transport and distribution at cellular and subcellular levels.

Authors:  Kyoung Ah Min; Xinyuan Zhang; Jing-yu Yu; Gus R Rosania
Journal:  Biopharm Drug Dispos       Date:  2013-12-10       Impact factor: 1.627

9.  Lucidone suppresses hepatitis C virus replication by Nrf2-mediated heme oxygenase-1 induction.

Authors:  Wei-Chun Chen; Sheng-Yang Wang; Chien-Chih Chiu; Chin-Kai Tseng; Chun-Kuang Lin; Hui-Chun Wang; Jin-Ching Lee
Journal:  Antimicrob Agents Chemother       Date:  2012-12-17       Impact factor: 5.191

10.  Near completely humanized liver in mice shows human-type metabolic responses to drugs.

Authors:  Chise Tateno; Yasumi Yoshizane; Naomi Saito; Miho Kataoka; Rie Utoh; Chihiro Yamasaki; Asato Tachibana; Yoshinori Soeno; Kinji Asahina; Hiroshi Hino; Toshimasa Asahara; Tsuyoshi Yokoi; Toshinori Furukawa; Katsutoshi Yoshizato
Journal:  Am J Pathol       Date:  2004-09       Impact factor: 4.307

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