Literature DB >> 30622164

A Comparison of Total and Plasma Membrane Abundance of Transporters in Suspended, Plated, Sandwich-Cultured Human Hepatocytes Versus Human Liver Tissue Using Quantitative Targeted Proteomics and Cell Surface Biotinylation.

Vineet Kumar1, Laurent Salphati1, Cornelis E C A Hop1, Guangqing Xiao1, Yurong Lai1, Anita Mathias1, Xiaoyan Chu1, W Griffith Humphreys1, Mingxiang Liao1, Scott Heyward1, Jashvant D Unadkat2.   

Abstract

Suspended (SH), plated (PH), and sandwich-cultured hepatocytes (SCH) are commonly used models to predict in vivo transporter-mediated hepatic uptake (SH or PH) or biliary (SCH) clearance of drugs. When doing so, the total and the plasma membrane abundance (PMA) of transporter are assumed not to differ between hepatocytes and liver tissue (LT). This assumption has never been tested. In this study, we tested this assumption by measuring the total and PMA of the transporters in human hepatocyte models versus LT (total only) from which they were isolated. Total abundance of OATP1B1/2B1/1B3, OCT1, and OAT2 was not significantly different between the hepatocytes and LT. The same was true for the PMA of these transporters across the hepatocyte models. In contrast, total abundance of the sinusoidal efflux transporter, MRP3, and the canalicular efflux transporters, MRP2 and P-gp, was significantly greater (P < 0.05) in SCH versus LT. Of the transporters tested, only the percentage of PMA of OATP1B1, P-gp, and MRP3, in SCH (82.8% ± 7.3%, 57.5% ± 10.9%, 69.3% ± 5.7%) was significantly greater (P < 0.05) than in SH (73.3% ± 6.4%, 27.4% ± 6.4%, 53.6% ± 4.1%). If the transporters measured in the plasma membrane are functional and the PMA in SH is representative of that in LT, these data suggest that SH, PH, and SCH will result in equal prediction of hepatic uptake clearance of drugs mediated by the transporters tested above. However, SCH will predict higher sinusoidal efflux and biliary clearance of drugs if the change in PMA of these transporters is not taken into consideration.
Copyright © 2019 by The American Society for Pharmacology and Experimental Therapeutics.

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Year:  2019        PMID: 30622164     DOI: 10.1124/dmd.118.084988

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


  12 in total

1.  Toward a Consensus on Applying Quantitative Liquid Chromatography-Tandem Mass Spectrometry Proteomics in Translational Pharmacology Research: A White Paper.

Authors:  Bhagwat Prasad; Brahim Achour; Per Artursson; Cornelis E C A Hop; Yurong Lai; Philip C Smith; Jill Barber; Jacek R Wisniewski; Daniel Spellman; Yasuo Uchida; Michael A Zientek; Jashvant D Unadkat; Amin Rostami-Hodjegan
Journal:  Clin Pharmacol Ther       Date:  2019-07-26       Impact factor: 6.875

2.  Antiretroviral Penetration and Drug Transporter Concentrations in the Spleens of Three Preclinical Animal Models and Humans.

Authors:  Aaron S Devanathan; John K Fallon; Nicole R White; Amanda P Schauer; Brian Van Horne; Kimberly Blake; Craig Sykes; Martina Kovarova; Lourdes Adamson; Leila Remling-Mulder; Paul Luciw; J Victor Garcia; Ramesh Akkina; Jason R Pirone; Philip C Smith; Angela D M Kashuba
Journal:  Antimicrob Agents Chemother       Date:  2020-09-21       Impact factor: 5.191

3.  Prediction of Drug Clearance from Enzyme and Transporter Kinetics.

Authors:  Priyanka R Kulkarni; Amir S Youssef; Aneesh A Argikar
Journal:  Methods Mol Biol       Date:  2021

4.  Probe Cocktail to Assess Transporter Function in Sandwich-Cultured Human Hepatocytes.

Authors:  Cen Guo; Kenneth R Brouwer; Paul W Stewart; Caroline Mosley; Kim L R Brouwer
Journal:  J Pharm Pharm Sci       Date:  2019       Impact factor: 2.327

Review 5.  Quantitative Proteomics in Translational Absorption, Distribution, Metabolism, and Excretion and Precision Medicine.

Authors:  Deepak Ahire; Laken Kruger; Sheena Sharma; Vijaya Saradhi Mettu; Abdul Basit; Bhagwat Prasad
Journal:  Pharmacol Rev       Date:  2022-07       Impact factor: 18.923

6.  Human Hepatic Transporter Signature Peptides for Quantitative Targeted Absolute Proteomics: Selection, Digestion Efficiency, and Peptide Stability.

Authors:  Ayano Mori; Takeshi Masuda; Shingo Ito; Sumio Ohtsuki
Journal:  Pharm Res       Date:  2022-09-21       Impact factor: 4.580

7.  Mechanistic Modeling of the Hepatic Disposition of Estradiol-17β-Glucuronide in Sandwich-Cultured Human Hepatocytes.

Authors:  Katsuaki Ito; Noora Sjöstedt; Kim L R Brouwer
Journal:  Drug Metab Dispos       Date:  2019-11-19       Impact factor: 3.922

8.  Targeted quantitative proteomic analysis of drug metabolizing enzymes and transporters by nano LC-MS/MS in the sandwich cultured human hepatocyte model.

Authors:  Raju Khatri; John K Fallon; Rebecca J B Rementer; Natasha T Kulick; Craig R Lee; Philip C Smith
Journal:  J Pharmacol Toxicol Methods       Date:  2019-05-31       Impact factor: 1.950

9.  Recent developments in in vitro and in vivo models for improved translation of preclinical pharmacokinetics and pharmacodynamics data.

Authors:  Jaydeep Yadav; Mehdi El Hassani; Jasleen Sodhi; Volker M Lauschke; Jessica H Hartman; Laura E Russell
Journal:  Drug Metab Rev       Date:  2021-05-25       Impact factor: 6.984

Review 10.  Potential role of drug metabolizing enzymes in chemotherapy-induced gastrointestinal toxicity and hepatotoxicity.

Authors:  Gabriel Tao; Junqing Huang; Bhagavatula Moorthy; Cathryn Wang; Ming Hu; Song Gao; Romi Ghose
Journal:  Expert Opin Drug Metab Toxicol       Date:  2020-09-02       Impact factor: 4.481

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