Literature DB >> 21730030

Kinetic characterization of rat hepatic uptake of 16 actively transported drugs.

Yoshiyuki Yabe1, Aleksandra Galetin, J Brian Houston.   

Abstract

To explore the determinants of hepatic uptake, 16 compounds were investigated with different physicochemical and disposition characteristics, including five statins, three sartans, saquinavir, ritonavir, erythromycin, clarithromycin, nateglinide, repaglinide, fexofenadine, and bosentan. Freshly isolated rat hepatocytes in suspension were used with the oil-spin method to generate kinetic parameters. Clearances, via passive diffusion (P(diff)) and active uptake (CL(active), characterized by maximal uptake rate and K(m)), were estimated from the initial uptake rate data over a 0.01 to 100 μM concentration range. The K(m) values had a range of 15-fold, with 10 of the 16 drugs with K(m) < 10 μM (median 6 μM). Both CL(active) and P(diff) ranged over 100-fold (median 188 and 14 μl/min/10⁶ cells). Assessment of the relative contribution of P(diff) and CL(active) indicated that, at low concentrations (approximately 0.1 μM), the active process contributes >80% to the overall uptake for 13 drugs. Although high P(diff) values were obtained for ritonavir and repaglinide, active process contributed predominantly to uptake; in contrast, high passive permeability dominates over transporter-mediated uptake for saquinavir over the full concentration range. For bosentan and erythromycin, active and passive processes were equally important. Hepatocyte-to-medium unbound concentration ratio was >10 for 9 of the 16 drugs, ranging from 2 to 494 for bosentan and atorvastatin, respectively. Some drugs showed extensive intracellular binding (fraction unbound range 0.01-0.6), which was not correlated with active uptake. LogD₇.₄ correlated significantly with P(diff) and the extent of intracellular binding but not with active uptake. This study provides systematic assessment of the role of active uptake relative to the passive process; implications of the findings are discussed.

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Year:  2011        PMID: 21730030     DOI: 10.1124/dmd.111.040477

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


  30 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

3.  Blood, tissue, and intracellular concentrations of erythromycin and its metabolite anhydroerythromycin during and after therapy.

Authors:  S Krasniqi; P Matzneller; M Kinzig; F Sörgel; S Hüttner; E Lackner; M Müller; M Zeitlinger
Journal:  Antimicrob Agents Chemother       Date:  2011-11-14       Impact factor: 5.191

4.  Characterization of non-radiolabeled Thyroxine (T4) uptake in cryopreserved rat hepatocyte suspensions: Pharmacokinetic implications for PFOA and PFOS chemical exposure.

Authors:  Julian Selano; Vicki Richardson; John Washington; Chris Mazur
Journal:  Toxicol In Vitro       Date:  2019-03-28       Impact factor: 3.500

5.  Determination of intracellular unbound concentrations and subcellular localization of drugs in rat sandwich-cultured hepatocytes compared with liver tissue.

Authors:  Nathan D Pfeifer; Kevin B Harris; Grace Zhixia Yan; Kim L R Brouwer
Journal:  Drug Metab Dispos       Date:  2013-08-29       Impact factor: 3.922

6.  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

7.  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

8.  The Presence of a Transporter-Induced Protein Binding Shift: A New Explanation for Protein-Facilitated Uptake and Improvement for In Vitro-In Vivo Extrapolation.

Authors:  Christine M Bowman; Hideaki Okochi; Leslie Z Benet
Journal:  Drug Metab Dispos       Date:  2019-01-23       Impact factor: 3.922

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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