Literature DB >> 19408130

Prediction of hepatic clearance in human from in vitro data for successful drug development.

Masato Chiba1, Yasuyuki Ishii, Yuichi Sugiyama.   

Abstract

The in vivo metabolic clearance in human has been successfully predicted by using in vitro data of metabolic stability in cryopreserved preparations of human hepatocytes. In the predictions by human hepatocytes, the systematic underpredictions of in vivo clearance have been commonly observed among different datasets. The regression-based scaling factor for the in vitro-to-in vivo extrapolation has mitigated discrepancy between in vitro prediction and in vivo observation. In addition to the elimination by metabolic degradation, the important roles of transporter-mediated hepatic uptake and canalicular excretion have been increasingly recognized as a rate-determining step in the hepatic clearance. It has been, therefore, proposed that the in vitro assessment should allow the evaluation of clearances for both transporter(s)-mediated uptake/excretion and metabolic degradation. This review first outlines the limited ability of subcellular fractions such as liver microsomes to predict hepatic clearance in vivo. It highlights the advantages of cryopreserved human hepatocytes as one of the versatile in vitro systems for the prediction of in vivo metabolic clearance in human at the early development stage. The following section discusses the mechanisms underlying the systematic underprediction of in vivo intrinsic clearance by hepatocytes. It leads to the proposal for the assessment of hepatic uptake clearance as one of the kinetically important determinants for accurate predictions of hepatic clearance in human. The judicious combination of advanced technologies and understandings for the drug disposition allows us to rationally optimize new chemical entities to the drug candidate with higher probability of success during the clinical development.

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Year:  2009        PMID: 19408130      PMCID: PMC2691463          DOI: 10.1208/s12248-009-9103-6

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  145 in total

1.  Comparison between cytochrome P450 (CYP) content and relative activity approaches to scaling from cDNA-expressed CYPs to human liver microsomes: ratios of accessory proteins as sources of discrepancies between the approaches.

Authors:  K Venkatakrishnan; L L von Moltke; M H Court; J S Harmatz; C L Crespi; D J Greenblatt
Journal:  Drug Metab Dispos       Date:  2000-12       Impact factor: 3.922

2.  Involvement of transporters in the hepatic uptake and biliary excretion of valsartan, a selective antagonist of the angiotensin II AT1-receptor, in humans.

Authors:  Wakaba Yamashiro; Kazuya Maeda; Masakazu Hirouchi; Yasuhisa Adachi; Zhuohan Hu; Yuichi Sugiyama
Journal:  Drug Metab Dispos       Date:  2006-04-19       Impact factor: 3.922

3.  The intestinal first-pass metabolism of substrates of CYP3A4 and P-glycoprotein-quantitative analysis based on information from the literature.

Authors:  Motohiro Kato; Koji Chiba; Akihiro Hisaka; Michi Ishigami; Makoto Kayama; Naomi Mizuno; Yoshinori Nagata; Susumu Takakuwa; Yuko Tsukamoto; Kaoru Ueda; Hiroyuki Kusuhara; Kiyomi Ito; Yuichi Sugiyama
Journal:  Drug Metab Pharmacokinet       Date:  2003       Impact factor: 3.614

Review 4.  Pharmacogenomics of human OATP transporters.

Authors:  Jörg König; Annick Seithel; Ulrike Gradhand; Martin F Fromm
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2006-03-09       Impact factor: 3.000

5.  Design, data analysis, and simulation of in vitro drug transport kinetic experiments using a mechanistic in vitro model.

Authors:  Agnès Poirier; Thierry Lavé; Renée Portmann; Marie-Elise Brun; Frank Senner; Manfred Kansy; Hans-Peter Grimm; Christoph Funk
Journal:  Drug Metab Dispos       Date:  2008-09-22       Impact factor: 3.922

6.  The importance of nonspecific binding in in vitro matrices, its impact on enzyme kinetic studies of drug metabolism reactions, and implications for in vitro-in vivo correlations.

Authors:  R S Obach
Journal:  Drug Metab Dispos       Date:  1996-10       Impact factor: 3.922

7.  Acute effects of pravastatin on cholesterol synthesis are associated with SLCO1B1 (encoding OATP1B1) haplotype *17.

Authors:  Mikko Niemi; Pertti J Neuvonen; Ute Hofmann; Janne T Backman; Matthias Schwab; Dieter Lütjohann; Klaus von Bergmann; Michel Eichelbaum; Kari T Kivistö
Journal:  Pharmacogenet Genomics       Date:  2005-05       Impact factor: 2.089

8.  Uptake of teicoplanin by isolated rat hepatocytes: comparison with in vivo hepatic distribution.

Authors:  R F Reinoso; B A Telfer; B S Brennan; M Rowland
Journal:  Drug Metab Dispos       Date:  2001-04       Impact factor: 3.922

9.  A unified model for predicting human hepatic, metabolic clearance from in vitro intrinsic clearance data in hepatocytes and microsomes.

Authors:  Robert J Riley; D F McGinnity; R P Austin
Journal:  Drug Metab Dispos       Date:  2005-06-02       Impact factor: 3.922

10.  In vivo clearance of ethoxycoumarin and its prediction from In vitro systems. Use Of drug depletion and metabolite formation methods in hepatic microsomes and isolated hepatocytes.

Authors:  D J Carlile; A J Stevens; E I Ashforth; D Waghela; J B Houston
Journal:  Drug Metab Dispos       Date:  1998-03       Impact factor: 3.922

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  49 in total

1.  Use of mechanistic modeling to assess interindividual variability and interspecies differences in active uptake in human and rat hepatocytes.

Authors:  Karelle Ménochet; Kathryn E Kenworthy; J Brian Houston; Aleksandra Galetin
Journal:  Drug Metab Dispos       Date:  2012-06-04       Impact factor: 3.922

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.  To Apply Microdosing or Not? Recommendations to Single Out Compounds with Non-Linear Pharmacokinetics.

Authors:  Sieto Bosgra; Maria L H Vlaming; Wouter H J Vaes
Journal:  Clin Pharmacokinet       Date:  2016-01       Impact factor: 6.447

4.  Metabolism-directed structure optimization of benzimidazole-based Francisella tularensis enoyl-reductase (FabI) inhibitors.

Authors:  Yan-Yan Zhang; Yong Liu; Shahila Mehboob; Jin-Hua Song; Teuta Boci; Michael E Johnson; Arun K Ghosh; Hyunyoung Jeong
Journal:  Xenobiotica       Date:  2013-10-30       Impact factor: 1.908

Review 5.  In vitro platforms for evaluating liver toxicity.

Authors:  Shyam Sundhar Bale; Lawrence Vernetti; Nina Senutovitch; Rohit Jindal; Manjunath Hegde; Albert Gough; William J McCarty; Ahmet Bakan; Abhinav Bhushan; Tong Ying Shun; Inna Golberg; Richard DeBiasio; Berk Osman Usta; D Lansing Taylor; Martin L Yarmush
Journal:  Exp Biol Med (Maywood)       Date:  2014-04-24

6.  Human hepatocyte assessment of imatinib drug-drug interactions - complexities in clinical translation.

Authors:  Jan H Beumer; Venkateswaran C Pillai; Robert A Parise; Susan M Christner; Brian F Kiesel; Michelle A Rudek; Raman Venkataramanan
Journal:  Br J Clin Pharmacol       Date:  2015-09-19       Impact factor: 4.335

7.  Metabolite profiling and pharmacokinetic evaluation of hydrocortisone in a perfused three-dimensional human liver bioreactor.

Authors:  Ujjal Sarkar; Dinelia Rivera-Burgos; Emma M Large; David J Hughes; Kodihalli C Ravindra; Rachel L Dyer; Mohammad R Ebrahimkhani; John S Wishnok; Linda G Griffith; Steven R Tannenbaum
Journal:  Drug Metab Dispos       Date:  2015-04-29       Impact factor: 3.922

8.  Microengineered cell and tissue systems for drug screening and toxicology applications: Evolution of in-vitro liver technologies.

Authors:  O B Usta; W J McCarty; S Bale; M Hegde; R Jindal; A Bhushan; I Golberg; M L Yarmush
Journal:  Technology (Singap World Sci)       Date:  2015-03

9.  Selection of suitable prodrug candidates for in vivo studies via in vitro studies; the correlation of prodrug stability in between cell culture homogenates and human tissue homogenates.

Authors:  Yasuhiro Tsume; Gordon L Amidon
Journal:  J Pharm Pharm Sci       Date:  2012       Impact factor: 2.327

Review 10.  In vitro to in vivo extrapolation for high throughput prioritization and decision making.

Authors:  Shannon M Bell; Xiaoqing Chang; John F Wambaugh; David G Allen; Mike Bartels; Kim L R Brouwer; Warren M Casey; Neepa Choksi; Stephen S Ferguson; Grazyna Fraczkiewicz; Annie M Jarabek; Alice Ke; Annie Lumen; Scott G Lynn; Alicia Paini; Paul S Price; Caroline Ring; Ted W Simon; Nisha S Sipes; Catherine S Sprankle; Judy Strickland; John Troutman; Barbara A Wetmore; Nicole C Kleinstreuer
Journal:  Toxicol In Vitro       Date:  2017-12-05       Impact factor: 3.500

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