Literature DB >> 17137735

Comparison of cytochrome P450 inhibition assays for drug discovery using human liver microsomes with LC-MS, rhCYP450 isozymes with fluorescence, and double cocktail with LC-MS.

Li Di1, Edward H Kerns2, Susan Q Li2, Guy T Carter2.   

Abstract

The disparity of IC(50)s from CYP450 inhibition assays used to assess drug-drug interaction potential was investigated, in order to have evidence for selecting a reliable in vitro CYP450 inhibition assay to support drug discovery. Three assays were studied: individual rhCYP isozymes and corresponding coumarin derivative-probe substrates with fluorescent detection, human liver microsomes (HLM) and cocktail drug-probe substrates with LC-MS detection, and double cocktail rhCYP isozymes mix and drug-probe mix with LC-MS detection. Data comparisons showed that the rhCYP-fluorescent assay and the cocktail assay with HLM-LC-MS had weak correlation. Detection method and probe substrates were shown to not be the major cause of the disparity in IC(50)s. However, the enzyme source and composition (HLM versus, rhCYP) caused disparity in IC(50)s. Specifically, the high concentrations of CYP isozymes often used with HLM-based assays produced high probe substrate conversion and test compound metabolism, which should both contribute to artificially higher IC(50)s. Non-specific binding of substrate to higher concentration proteins and lipids in the HLM-based assays should also contribute to higher IC(50)s. The modified double cocktail assay was found to overcome limitations of the other two assays. It uses an rhCYP isozymes mix, drug-probe substrate mix, low protein concentration, and LC-MS detection. The double cocktail assay is sensitive, selective, and high throughout for use in drug discovery to provide an early alert to potential toxicity with regard to drug-drug interaction, prioritize chemical series, and guide structural modification to circumvent CYP450 inhibition.

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Year:  2006        PMID: 17137735     DOI: 10.1016/j.ijpharm.2006.10.039

Source DB:  PubMed          Journal:  Int J Pharm        ISSN: 0378-5173            Impact factor:   5.875


  7 in total

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Journal:  AAPS J       Date:  2008-08-07       Impact factor: 4.009

Review 2.  Advancing computer-aided drug discovery (CADD) by big data and data-driven machine learning modeling.

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Journal:  Drug Discov Today       Date:  2020-07-11       Impact factor: 7.851

3.  Potential impact of cytochrome P450 3A5 in human liver on drug interactions with triazoles.

Authors:  Hiroshi Yamazaki; Minako Nakamoto; Makiko Shimizu; Norie Murayama; Toshiro Niwa
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Review 4.  Chemical inhibitors of cytochrome P450 isoforms in human liver microsomes: a re-evaluation of P450 isoform selectivity.

Authors:  Siamak Cyrus Khojasteh; Saileta Prabhu; Jane R Kenny; Jason S Halladay; Anthony Y H Lu
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2011-02-19       Impact factor: 2.441

5.  Inhibition of Cytochrome P450s by Strobilanthes crispus Sub-Fraction (F3): Implication for Herb-Drug Interaction.

Authors:  Ya Fen Yong; Mervyn Wing On Liew; Nik Soriani Yaacob
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2022-02-11       Impact factor: 2.441

6.  High-throughput fluorescence assay of cytochrome P450 3A4.

Authors:  Qian Cheng; F Peter Guengerich
Journal:  Methods Mol Biol       Date:  2013

7.  Development of a fluorescence-based, ultra high-throughput screening platform for nanoliter-scale cytochrome p450 microarrays.

Authors:  Sumitra M Sukumaran; Benjamin Potsaid; Moo-Yeal Lee; Douglas S Clark; Jonathan S Dordick
Journal:  J Biomol Screen       Date:  2009-06-12
  7 in total

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