Literature DB >> 19144769

Differential time- and NADPH-dependent inhibition of CYP2C19 by enantiomers of fluoxetine.

David M Stresser1, Andrew K Mason, Elke S Perloff, Thuy Ho, Charles L Crespi, Andre A Dandeneau, Ling Morgan, Shangara S Dehal.   

Abstract

Fluoxetine [+/--N-methyl-3-phenyl-3-[(alpha, alpha, (-trifluoro-p-tolyl)oxy]-propylamine)] a selective serotonin reuptake inhibitor, is widely used in treating depression and other serotonin-dependent disease conditions. Racemic, (R)- and (S)-fluoxetine are potent reversible inhibitors of CYP2D6, and the racemate has been shown to be a mechanism-based inhibitor of CYP3A4. Racemic fluoxetine also demonstrates time- and concentration-dependent inhibition of CYP2C19 catalytic activity in vitro. In this study, we compared fluoxetine, its (R)- and (S)-enantiomers, ticlopidine, and S-benzylnirvanol as potential time-dependent inhibitors of human liver microsomal CYP2C19. In a reversible inhibition protocol (30 min preincubation with liver microsomes without NADPH), we found (R)-, (S)- and racemic fluoxetine to be moderate inhibitors with IC(50) values of 21, 93, and 27 microM, respectively. However, when the preincubation was supplemented with NADPH, IC(50) values shifted to 4.0, 3.4, and 3.0 microM, respectively resulting in IC(50) shifts of 5.2-, 28-, and 9.3-fold. Ticlopidine showed a 1.8-fold shift in IC(50) value, and S-benzylnirvanol shifted right (0.41-fold shift). Follow-up K(I) and k(inact) determinations with fluoxetine confirmed time-dependent inhibition [K(I) values of 6.5, 47, and 14 microM; k(inact) values of 0.023, 0.085, 0.030 min(-1) for (R)-, (S)-, and racemate, respectively]. Although the (S)-isomer exhibits a much lower affinity for CYP2C19 inactivation relative to the (R)-enantiomer, it exhibits a more rapid rate of inactivation. Racemic norfluoxetine exhibited an 11-fold shift (18-1.5 microM) in IC(50) value, suggesting that conversion of fluoxetine to this metabolite represents a metabolic pathway leading to time-dependent inhibition. These data provide an improved understanding of the drug-interaction potential of fluoxetine.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19144769     DOI: 10.1124/dmd.108.025726

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


  5 in total

1.  Reversible Mechanisms of Enzyme Inhibition and Resulting Clinical Significance.

Authors:  Barbara Ring; Steven A Wrighton; Michael Mohutsky
Journal:  Methods Mol Biol       Date:  2021

2.  Predicting CYP2C19 catalytic parameters for enantioselective oxidations using artificial neural networks and a chirality code.

Authors:  Jessica H Hartman; Steven D Cothren; Sun-Ha Park; Chul-Ho Yun; Jerry A Darsey; Grover P Miller
Journal:  Bioorg Med Chem       Date:  2013-04-22       Impact factor: 3.641

Review 3.  The role of metabolites in predicting drug-drug interactions: focus on irreversible cytochrome P450 inhibition.

Authors:  Brooke M VandenBrink; Nina Isoherranen
Journal:  Curr Opin Drug Discov Devel       Date:  2010-01

4.  Stereoselective inhibition of CYP2C19 and CYP3A4 by fluoxetine and its metabolite: implications for risk assessment of multiple time-dependent inhibitor systems.

Authors:  Justin D Lutz; Brooke M VandenBrink; Katipudi N Babu; Wendel L Nelson; Kent L Kunze; Nina Isoherranen
Journal:  Drug Metab Dispos       Date:  2013-06-19       Impact factor: 3.922

Review 5.  Assessing the Mechanism of Fluoxetine-Mediated CYP2D6 Inhibition.

Authors:  Malavika Deodhar; Sweilem B Al Rihani; Lucy Darakjian; Jacques Turgeon; Veronique Michaud
Journal:  Pharmaceutics       Date:  2021-01-23       Impact factor: 6.321

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.