Literature DB >> 19875501

Investigation of the rate-determining process in the hepatic elimination of HMG-CoA reductase inhibitors in rats and humans.

Takao Watanabe1, Hiroyuki Kusuhara, Kazuya Maeda, Hiroshi Kanamaru, Yoshikazu Saito, Zhuohan Hu, Yuichi Sugiyama.   

Abstract

Elucidation of the rate-determining process in the overall hepatic elimination of drugs is critical for predicting their intrinsic hepatic clearance and the impact of variation of sequestration clearance on their systemic concentration. The present study investigated the rate-determining process in the overall hepatic elimination of the HMG-CoA reductase inhibitors pravastatin, pitavastatin, atorvastatin, and fluvastatin both in rats and humans. The uptake of these statins was saturable in both rat and human hepatocytes. Intrinsic hepatic clearance obtained by in vivo pharmacokinetic analysis in rats was close to the uptake clearance determined by the multiple indicator dilution method but much greater than the intrinsic metabolic clearance extrapolated from an in vitro model using liver microsomes. In vivo uptake clearance of the statins in humans (pravastatin, 1.44; pitavastatin, 30.6; atorvastatin, 12.7; and fluvastatin, 62.9 ml/min/g liver), which was obtained by multiplying in vitro uptake clearance determined in cryopreserved human hepatocytes by rat scaling factors, was within the range of overall in vivo intrinsic hepatic clearance (pravastatin, 0.84-1.2; pitavastatin, 14-35; atorvastatin, 11-19; and fluvastatin, 123-185 ml/min/g liver), whereas the intrinsic metabolic clearance of atorvastatin and fluvastatin was considerably low compared with their intrinsic hepatic clearance. Their uptake is the rate-determining process in the overall hepatic elimination of the statins in rats, and this activity likely holds true for humans. In vitro-in vivo extrapolation of the uptake clearance using a cryopreserved human hepatocytes model and rat scaling factors will be effective for predicting in vivo intrinsic hepatic clearance involving active uptake.

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Year:  2009        PMID: 19875501     DOI: 10.1124/dmd.109.030254

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


  40 in total

1.  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

2.  Predicting Clearance Mechanism in Drug Discovery: Extended Clearance Classification System (ECCS).

Authors:  Manthena V Varma; Stefanus J Steyn; Charlotte Allerton; Ayman F El-Kattan
Journal:  Pharm Res       Date:  2015-07-09       Impact factor: 4.200

3.  Decreased exposure of simvastatin and simvastatin acid in a rat model of type 2 diabetes.

Authors:  Dan Xu; Feng Li; Mian Zhang; Ji Zhang; Can Liu; Meng-yue Hu; Ze-yu Zhong; Ling-ling Jia; Da-wei Wang; Jie Wu; Li Liu; Xiao-dong Liu
Journal:  Acta Pharmacol Sin       Date:  2014-08-25       Impact factor: 6.150

4.  Compartmental models for apical efflux by P-glycoprotein--part 1: evaluation of model complexity.

Authors:  Swati Nagar; Jalia Tucker; Erica A Weiskircher; Siddhartha Bhoopathy; Ismael J Hidalgo; Ken Korzekwa
Journal:  Pharm Res       Date:  2013-09-10       Impact factor: 4.200

5.  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

6.  Novel effects of simvastatin on uterine fibroid tumors: in vitro and patient-derived xenograft mouse model study.

Authors:  Mostafa A Borahay; Kathleen Vincent; Massoud Motamedi; Elena Sbrana; Gokhan S Kilic; Ayman Al-Hendy; Darren Boehning
Journal:  Am J Obstet Gynecol       Date:  2015-03-31       Impact factor: 8.661

7.  Cholesterol homeostasis in the retina: seeing is believing.

Authors:  Steven J Fliesler
Journal:  J Lipid Res       Date:  2014-11-24       Impact factor: 5.922

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

Review 9.  Intracellular drug concentrations and transporters: measurement, modeling, and implications for the liver.

Authors:  X Chu; K Korzekwa; R Elsby; K Fenner; A Galetin; Y Lai; P Matsson; A Moss; S Nagar; G R Rosania; J P F Bai; J W Polli; Y Sugiyama; K L R Brouwer
Journal:  Clin Pharmacol Ther       Date:  2013-04-10       Impact factor: 6.875

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

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