Literature DB >> 9107546

Kinetics of drug metabolism in rat liver slices. III. Relationship between metabolic clearance and slice uptake rate.

P D Worboys1, A Bradbury, J B Houston.   

Abstract

The time course for distribution of five compounds (caffeine, tolbutamide, phenytoin, ondansetron, and diazepam) was studied in precision-cut rat liver slices. Transport of these compounds differed greatly, with caffeine being distributed rapidly, but not accumulating above the media concentration. Although tolbutamide similarly was not accumulated within the tissue, its uptake rate was slower. The rate of phenytoin, ondansetron, and diazepam distribution (with appropriate corrections for metabolism) was slower still; yet, these drugs were accumulated within the cells of the slice to a concentration approximately 15-fold that of the media. Examination of the physicochemical properties of these compounds demonstrated that the extent of accumulation positively correlated with lipophilicity, whereas the rate of uptake was not statistically correlated with log D. The extent of accumulation within the slice was assessed by an apparent volume of distribution parameter (ranging from 26 to 195 microliters/slice). Using cell:media partition coefficients determined in hepatocytes and the intra- and extracellular spaces within the slice (as measured with the markers tritiated water and sucrose), it was possible to predict apparent volumes of distribution for each drug in the liver slice. Comparison of observed and predicted apparent volumes of distribution gave ratios of 0.34-1. Intrinsic clearance values for these five drugs are available for slices and cells (slice: cell intrinsic clearance ratios 0.05-0.43; Worboys et al., Drug Metab. Dispos. 24, 676-681, 1996). Drugs that demonstrate low intrinsic clearance ratios also have low apparent volume ratios, thus indicating that reduced drug uptake and clearance in slices, relative to hepatocytes, are interdependent. Both phenomena may be rationalized by the existence of a drug concentration gradient within the slice. At very high drug concentrations, Vmax operates, and the consequence of the gradient is minimal. Therefore, it is possible to speculate upon the fraction of hepatocytes within the slice contributing to clearance by considering Vmax values. For six pathways of metabolism, Vmax in slices averages 35% of the corresponding parameter in isolated hepatocytes. This is most likely due to limited oxygen and compromised metabolic function of the core cells. These distribution phenomena severely complicate the possibility of using a scaling factor based on the theoretical number of slices obtainable from a liver to predict in vivo intrinsic clearance.

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Year:  1997        PMID: 9107546

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


  5 in total

1.  Preparation and incubation of precision-cut liver and intestinal slices for application in drug metabolism and toxicity studies.

Authors:  Inge A M de Graaf; Peter Olinga; Marina H de Jager; Marjolijn T Merema; Ruben de Kanter; Esther G van de Kerkhof; Geny M M Groothuis
Journal:  Nat Protoc       Date:  2010-08-19       Impact factor: 13.491

2.  Different distribution of morphine and morphine-6 beta-glucuronide after intracerebroventricular injection in rats.

Authors:  Takashi Okura; Masanori Saito; Misato Nakanishi; Noriyuki Komiyama; Aki Fujii; Shizuo Yamada; Ryohei Kimura
Journal:  Br J Pharmacol       Date:  2003-08-04       Impact factor: 8.739

Review 3.  Recent advances in 2D and 3D in vitro systems using primary hepatocytes, alternative hepatocyte sources and non-parenchymal liver cells and their use in investigating mechanisms of hepatotoxicity, cell signaling and ADME.

Authors:  Patricio Godoy; Nicola J Hewitt; Ute Albrecht; Melvin E Andersen; Nariman Ansari; Sudin Bhattacharya; Johannes Georg Bode; Jennifer Bolleyn; Christoph Borner; Jan Böttger; Albert Braeuning; Robert A Budinsky; Britta Burkhardt; Neil R Cameron; Giovanni Camussi; Chong-Su Cho; Yun-Jaie Choi; J Craig Rowlands; Uta Dahmen; Georg Damm; Olaf Dirsch; María Teresa Donato; Jian Dong; Steven Dooley; Dirk Drasdo; Rowena Eakins; Karine Sá Ferreira; Valentina Fonsato; Joanna Fraczek; Rolf Gebhardt; Andrew Gibson; Matthias Glanemann; Chris E P Goldring; María José Gómez-Lechón; Geny M M Groothuis; Lena Gustavsson; Christelle Guyot; David Hallifax; Seddik Hammad; Adam Hayward; Dieter Häussinger; Claus Hellerbrand; Philip Hewitt; Stefan Hoehme; Hermann-Georg Holzhütter; J Brian Houston; Jens Hrach; Kiyomi Ito; Hartmut Jaeschke; Verena Keitel; Jens M Kelm; B Kevin Park; Claus Kordes; Gerd A Kullak-Ublick; Edward L LeCluyse; Peng Lu; Jennifer Luebke-Wheeler; Anna Lutz; Daniel J Maltman; Madlen Matz-Soja; Patrick McMullen; Irmgard Merfort; Simon Messner; Christoph Meyer; Jessica Mwinyi; Dean J Naisbitt; Andreas K Nussler; Peter Olinga; Francesco Pampaloni; Jingbo Pi; Linda Pluta; Stefan A Przyborski; Anup Ramachandran; Vera Rogiers; Cliff Rowe; Celine Schelcher; Kathrin Schmich; Michael Schwarz; Bijay Singh; Ernst H K Stelzer; Bruno Stieger; Regina Stöber; Yuichi Sugiyama; Ciro Tetta; Wolfgang E Thasler; Tamara Vanhaecke; Mathieu Vinken; Thomas S Weiss; Agata Widera; Courtney G Woods; Jinghai James Xu; Kathy M Yarborough; Jan G Hengstler
Journal:  Arch Toxicol       Date:  2013-08-23       Impact factor: 5.153

4.  Mechanistic approaches to volume of distribution predictions: understanding the processes.

Authors:  Trudy Rodgers; Malcolm Rowland
Journal:  Pharm Res       Date:  2007-03-20       Impact factor: 4.580

Review 5.  Predicting Drug Extraction in the Human Gut Wall: Assessing Contributions from Drug Metabolizing Enzymes and Transporter Proteins using Preclinical Models.

Authors:  Sheila Annie Peters; Christopher R Jones; Anna-Lena Ungell; Oliver J D Hatley
Journal:  Clin Pharmacokinet       Date:  2016-06       Impact factor: 6.447

  5 in total

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