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Prediction of Hepatic Efflux Transporter-Mediated Drug Interactions: When Is it Optimal to Measure Intracellular Unbound Fraction of Inhibitors?
- Source :
-
Journal of pharmaceutical sciences [J Pharm Sci] 2017 Sep; Vol. 106 (9), pp. 2401-2406. Date of Electronic Publication: 2017 Apr 30. - Publication Year :
- 2017
-
Abstract
- The intracellular unbound inhibitor concentration ([I] <subscript>unbound,cell</subscript> ) is the most relevant concentration for predicting the inhibition of hepatic efflux transporters. However, the intracellular unbound fraction of inhibitor in hepatocytes (f <subscript>u,cell,inhibitor</subscript> ) is not routinely determined. Studies are needed to evaluate the benefit of measuring f <subscript>u,cell,inhibitor</subscript> and using [I] <subscript>unbound,cell</subscript> versus intracellular total inhibitor concentration ([I] <subscript>total,cell</subscript> ) when predicting inhibitory effects. This study examined the benefit of using [I] <subscript>unbound,cell</subscript> to predict hepatocellular bile acid disposition. Cellular total concentrations of taurocholate ([TCA] <subscript>total,cell</subscript> ), a prototypical bile acid, were simulated using pharmacokinetic parameters estimated from sandwich-cultured human hepatocytes. The effect of various theoretical inhibitors was simulated by varying ([I] <subscript>total,cell</subscript> / half maximal inhibitory concentration [IC <subscript>50</subscript> ]) values. In addition, the fold change was calculated as the simulated [TCA] <subscript>total,cell</subscript> when f <subscript>u,cell,inhibitor</subscript>  = 1 divided by the simulated [TCA] <subscript>total,cell</subscript> when f <subscript>u,cell,inhibitor</subscript>  = 0.5-0.01. The lowest ([I] <subscript>total,cell</subscript> /IC <subscript>50</subscript> ) value leading to a >2-fold change in [TCA] <subscript>total,cell</subscript> was chosen as a cutoff, and a framework was developed to categorize risk inhibitors for which the measurement of f <subscript>u,cell,inhibitor</subscript> is optimal. Fifteen compounds were categorized, 5 of which were compared with experimental observations. Future work is needed to evaluate this framework based on additional experimental data. In conclusion, the benefit of measuring f <subscript>u,cell,inhibitor</subscript> to predict hepatic efflux transporter-mediated drug-bile acid interactions can be determined a priori.<br /> (Copyright © 2017 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved.)
- Subjects :
- Biological Transport drug effects
Computer Simulation
Drug Interactions
Hepatocytes drug effects
Humans
Models, Biological
Protein Binding
Taurocholic Acid metabolism
Bile Acids and Salts metabolism
Hepatocytes metabolism
Membrane Transport Proteins metabolism
Pharmaceutical Preparations metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1520-6017
- Volume :
- 106
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- Journal of pharmaceutical sciences
- Publication Type :
- Academic Journal
- Accession number :
- 28465154
- Full Text :
- https://doi.org/10.1016/j.xphs.2017.04.054