Literature DB >> 21383204

Prediction of the overall renal tubular secretion and hepatic clearance of anionic drugs and a renal drug-drug interaction involving organic anion transporter 3 in humans by in vitro uptake experiments.

Takao Watanabe1, Hiroyuki Kusuhara, Tomoko Watanabe, Yasuyuki Debori, Kazuya Maeda, Tsunenori Kondo, Hideki Nakayama, Shigeru Horita, Brian W Ogilvie, Andrew Parkinson, Zhuohan Hu, Yuichi Sugiyama.   

Abstract

The present study investigated prediction of the overall renal tubular secretion and hepatic clearances of anionic drugs based on in vitro transport studies. The saturable uptake of eight drugs, most of which were OAT3 substrates (rosuvastatin, pravastatin, pitavastatin, valsartan, olmesartan, trichlormethiazide, p-aminohippurate, and benzylpenicillin) by freshly prepared human kidney slices underestimated the overall intrinsic clearance of the tubular secretion; therefore, a scaling factor of 10 was required for in vitro-in vivo extrapolation. We examined the effect of gemfibrozil and its metabolites, gemfibrozil glucuronide and the carboxylic metabolite, gemfibrozil M3, on pravastatin uptake by human kidney slices. The inhibition study using human kidney slices suggests that OAT3 plays a predominant role in the renal uptake of pravastatin. Comparison of unbound concentrations and K(i) values (1.5, 9.1, and 4.0 μM, for gemfibrozil, gemfibrozil glucuronide, and gemfibrozil M3, respectively) suggests that the mechanism of the interaction is due mainly to inhibition by gemfibrozil and gemfibrozil glucuronide. Furthermore, extrapolation of saturable uptake by cryopreserved human hepatocytes predicts clearance comparable with the observed hepatic clearance although fluvastatin and rosuvastatin required a scaling factor of 11 and 6.9, respectively. This study suggests that in vitro uptake assays using human kidney slices and hepatocytes provide a good prediction of the overall tubular secretion and hepatic clearances of anionic drugs and renal drug-drug interactions. It is also recommended that in vitro-in vivo extrapolation be performed in animals to obtain more reliable prediction.

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Year:  2011        PMID: 21383204     DOI: 10.1124/dmd.110.036129

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


  19 in total

1.  Physiologically based modeling of pravastatin transporter-mediated hepatobiliary disposition and drug-drug interactions.

Authors:  Manthena V S Varma; Yurong Lai; Bo Feng; John Litchfield; Theunis C Goosen; Arthur Bergman
Journal:  Pharm Res       Date:  2012-05-26       Impact factor: 4.200

2.  Mechanistic models describing active renal reabsorption and secretion: a simulation-based study.

Authors:  Melanie A Felmlee; Rutwij A Dave; Marilyn E Morris
Journal:  AAPS J       Date:  2012-11-30       Impact factor: 4.009

Review 3.  Key to Opening Kidney for In Vitro-In Vivo Extrapolation Entrance in Health and Disease: Part I: In Vitro Systems and Physiological Data.

Authors:  Daniel Scotcher; Christopher Jones; Maria Posada; Amin Rostami-Hodjegan; Aleksandra Galetin
Journal:  AAPS J       Date:  2016-06-30       Impact factor: 4.009

Review 4.  Renal Drug Transporters and Drug Interactions.

Authors:  Anton Ivanyuk; Françoise Livio; Jérôme Biollaz; Thierry Buclin
Journal:  Clin Pharmacokinet       Date:  2017-08       Impact factor: 6.447

5.  Pitavastatin is a more sensitive and selective organic anion-transporting polypeptide 1B clinical probe than rosuvastatin.

Authors:  Thomayant Prueksaritanont; Xiaoyan Chu; Raymond Evers; Stephanie O Klopfer; Luzelena Caro; Prajakti A Kothare; Cynthia Dempsey; Scott Rasmussen; Robert Houle; Grace Chan; Xiaoxin Cai; Robert Valesky; Iain P Fraser; S Aubrey Stoch
Journal:  Br J Clin Pharmacol       Date:  2014-09       Impact factor: 4.335

Review 6.  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

7.  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

Review 8.  Key to Opening Kidney for In Vitro-In Vivo Extrapolation Entrance in Health and Disease: Part II: Mechanistic Models and In Vitro-In Vivo Extrapolation.

Authors:  Daniel Scotcher; Christopher Jones; Maria Posada; Aleksandra Galetin; Amin Rostami-Hodjegan
Journal:  AAPS J       Date:  2016-08-09       Impact factor: 4.009

Review 9.  Prediction of pharmacokinetics and drug-drug interactions when hepatic transporters are involved.

Authors:  Rui Li; Hugh A Barton; Manthena V Varma
Journal:  Clin Pharmacokinet       Date:  2014-08       Impact factor: 6.447

10.  Variability in hepatic expression of organic anion transporter 7/SLC22A9, a novel pravastatin uptake transporter: impact of genetic and regulatory factors.

Authors:  A Emami Riedmaier; O Burk; B A C van Eijck; E Schaeffeler; K Klein; S Fehr; S Biskup; S Müller; S Winter; U M Zanger; M Schwab; A T Nies
Journal:  Pharmacogenomics J       Date:  2015-08-04       Impact factor: 3.550

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