Literature DB >> 18426955

Prediction of the pharmacokinetics of atorvastatin, cerivastatin, and indomethacin using kinetic models applied to isolated rat hepatocytes.

Stuart W Paine1, Alison J Parker, Philip Gardiner, Peter J H Webborn, Robert J Riley.   

Abstract

The disposition of atorvastatin, cerivastatin, and indomethacin, established substrates of rat hepatic basolateral uptake transporters, has been evaluated in suspended rat hepatocytes. Cell and media concentration-time data were simultaneously fitted to a model incorporating active uptake, permeation, binding, and metabolism. Use of the model to estimate the ratio of intracellular to extracellular steady-state free drug concentrations demonstrated the strong influence of active uptake on the kinetics of atorvastatin (18:1) and cerivastatin (8:1), in comparison with indomethacin (3.5:1). Indomethacin, however, was shown to have a higher uptake clearance (599 +/- 101 microl/min/10(6) cells) than atorvastatin (375 +/- 45 microl/min/10(6) cells) and cerivastatin (413 +/- 47 microl/min/10(6) cells). The high passive permeability of indomethacin (237 +/- 63 microl/min/10(6) cells) clearly negated the effect of the active transport on the overall disposition. An analogous physiological model was constructed that allowed prediction of the in vivo pharmacokinetics, including the free intracellular concentration in liver. Hepatic clearance was well predicted by the model, in contrast to predictions based on standard methods. Volume of distribution was well predicted for indomethacin and predicted reasonably for atorvastatin and cerivastatin and higher than might be expected for an acid compound. Furthermore, the terminal half-life predictions for all three compounds were within 2-fold of the observed values. The ability to estimate the free-intracellular hepatic concentration of uptake substrates has major benefits in terms of predicting pharmacokinetics, potential CYP-mediated drug-drug interactions, and efficacy of hepatically targeted therapeutics.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18426955     DOI: 10.1124/dmd.107.019455

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


  21 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

2.  Simultaneous assessment of uptake and metabolism in rat hepatocytes: a comprehensive mechanistic model.

Authors:  Karelle Ménochet; Kathryn E Kenworthy; J Brian Houston; Aleksandra Galetin
Journal:  J Pharmacol Exp Ther       Date:  2011-12-21       Impact factor: 4.030

Review 3.  Prediction of hepatic clearance in human from in vitro data for successful drug development.

Authors:  Masato Chiba; Yasuyuki Ishii; Yuichi Sugiyama
Journal:  AAPS J       Date:  2009-04-30       Impact factor: 4.009

4.  Novel in vitro-in vivo extrapolation (IVIVE) method to predict hepatic organ clearance in rat.

Authors:  Ken-ichi Umehara; Gian Camenisch
Journal:  Pharm Res       Date:  2011-10-20       Impact factor: 4.200

5.  Prediction of pharmacokinetic profile of valsartan in human based on in vitro uptake transport data.

Authors:  Agnès Poirier; Anne-Christine Cascais; Christoph Funk; Thierry Lavé
Journal:  J Pharmacokinet Pharmacodyn       Date:  2009-11-20       Impact factor: 2.745

Review 6.  Membrane transporters in drug development.

Authors:  Kathleen M Giacomini; Shiew-Mei Huang; Donald J Tweedie; Leslie Z Benet; Kim L R Brouwer; Xiaoyan Chu; Amber Dahlin; Raymond Evers; Volker Fischer; Kathleen M Hillgren; Keith A Hoffmaster; Toshihisa Ishikawa; Dietrich Keppler; Richard B Kim; Caroline A Lee; Mikko Niemi; Joseph W Polli; Yuichi Sugiyama; Peter W Swaan; Joseph A Ware; Stephen H Wright; Sook Wah Yee; Maciej J Zamek-Gliszczynski; Lei Zhang
Journal:  Nat Rev Drug Discov       Date:  2010-03       Impact factor: 84.694

7.  Simulation of human intravenous and oral pharmacokinetics of 21 diverse compounds using physiologically based pharmacokinetic modelling.

Authors:  Hannah M Jones; Iain B Gardner; Wendy T Collard; Phil J Stanley; Penny Oxley; Natilie A Hosea; David Plowchalk; Steve Gernhardt; Jing Lin; Maurice Dickins; S Ravi Rahavendran; Barry C Jones; Kenny J Watson; Henry Pertinez; Vikas Kumar; Susan Cole
Journal:  Clin Pharmacokinet       Date:  2011-05       Impact factor: 6.447

8.  Reliable Rate Measurements for Active and Passive Hepatic Uptake Using Plated Human Hepatocytes.

Authors:  Yi-An Bi; Renato J Scialis; Sarah Lazzaro; Sumathy Mathialagan; Emi Kimoto; Julie Keefer; Hui Zhang; Anna M Vildhede; Chester Costales; A David Rodrigues; Larry M Tremaine; Manthena V S Varma
Journal:  AAPS J       Date:  2017-02-10       Impact factor: 4.009

9.  Characterization of the transmembrane transport and absolute bioavailability of the HCV protease inhibitor danoprevir.

Authors:  Barbara J Brennan; Agnès Poirier; Sebastian Moreira; Peter N Morcos; Petra Goelzer; Renée Portmann; Jiney Asthappan; Christoph Funk; Patrick F Smith
Journal:  Clin Pharmacokinet       Date:  2015-05       Impact factor: 6.447

Review 10.  ITC recommendations for transporter kinetic parameter estimation and translational modeling of transport-mediated PK and DDIs in humans.

Authors:  M J Zamek-Gliszczynski; C A Lee; A Poirier; J Bentz; X Chu; H Ellens; T Ishikawa; M Jamei; J C Kalvass; S Nagar; K S Pang; K Korzekwa; P W Swaan; M E Taub; P Zhao; A Galetin
Journal:  Clin Pharmacol Ther       Date:  2013-02-25       Impact factor: 6.875

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.