Literature DB >> 35798369

Pharmacokinetic Modeling of Warfarin І - Model-based Analysis of Warfarin Enantiomers with a Target Mediated Drug Disposition Model Reveals CYP2C9 Genotype-dependent Drug-drug Interactions of S-Warfarin.

Shen Cheng1, Darcy R Flora2, Allan E Rettie3, Richard C Brundage4, Timothy S Tracy5.   

Abstract

The objective of this study is to characterize the impact of CYP2C9 genotype on warfarin drug-drug interactions when warfarin is taken together with fluconazole, a cytochrome P450 (CYP) inhibitor, or rifampin, a CYP inducer with a nonlinear mixed effect modeling approach. A target mediated drug disposition model with a urine compartment was necessary to characterize both S-warfarin and R-warfarin plasma and urine pharmacokinetic profiles sufficiently. Following the administration of fluconazole, our study found subjects with CYP2C9 *2 or *3 alleles experience smaller changes in S-warfarin CL compared with subjects without these alleles (69.5%, 64.8%, 59.7% and 47.8% decrease in subjects with CYP2C9 *1/*1, *1/*3, *2/*3 and *3/*3 respectively). Whereas, following the administration of rifampin, subjects with CYP2C9 *2/*3 or CYP2C9 *3/*3 experience larger changes in S-warfarin CL compared with subjects with at least one copy of CYP2C9 *1 or *1B (115%, 111%, 119%, 198% and 193% increase in subjects with CYP2C9 *1/*1, *1B/*1B, *1/*3, *2/*3 and *3/*3 respectively). The results suggest different dose adjustments are potentially required for patients with different CYP2C9 genotypes if warfarin is administered together with CYP inhibitors or inducers. Significance Statement The present study found a target mediated drug disposition model is needed to sufficiently characterize the clinical pharmacokinetic profiles of warfarin racemates under different co-treatments in subjects with various CYP2C9 genotypes, following a single dose of warfarin administration. The study also found S-warfarin, the pharmacologically more active ingredient in warfarin, exhibits CYP2C9 genotype-dependent drug-drug interactions, which indicates the dose of warfarin may need to be adjusted differently in subjects with different CYP2C9 genotypes in the presence of drug-drug interactions.
Copyright © 2020 American Society for Pharmacology and Experimental Therapeutics.

Entities:  

Keywords:  drug-drug interactions; genetic polymorphism; pharmacokinetic modeling

Year:  2022        PMID: 35798369      PMCID: PMC9488981          DOI: 10.1124/dmd.122.000876

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.579


  53 in total

1.  Handling data below the limit of quantification in mixed effect models.

Authors:  Martin Bergstrand; Mats O Karlsson
Journal:  AAPS J       Date:  2009-05-19       Impact factor: 4.009

Review 2.  The pharmocogenomics of warfarin: closing in on personalized medicine.

Authors:  Allan E Rettie; Guoying Tai
Journal:  Mol Interv       Date:  2006-08

3.  A pharmacogenetic versus a clinical algorithm for warfarin dosing.

Authors:  Stephen E Kimmel; Benjamin French; Scott E Kasner; Julie A Johnson; Jeffrey L Anderson; Brian F Gage; Yves D Rosenberg; Charles S Eby; Rosemary A Madigan; Robert B McBane; Sherif Z Abdel-Rahman; Scott M Stevens; Steven Yale; Emile R Mohler; Margaret C Fang; Vinay Shah; Richard B Horenstein; Nita A Limdi; James A S Muldowney; Jaspal Gujral; Patrice Delafontaine; Robert J Desnick; Thomas L Ortel; Henny H Billett; Robert C Pendleton; Nancy L Geller; Jonathan L Halperin; Samuel Z Goldhaber; Michael D Caldwell; Robert M Califf; Jonas H Ellenberg
Journal:  N Engl J Med       Date:  2013-11-19       Impact factor: 91.245

4.  Pharmacokinetic Modeling of Warfarin ІI - Model-based Analysis of Warfarin Metabolites following Warfarin Administered either Alone or Together with Fluconazole or Rifampin.

Authors:  Shen Cheng; Darcy R Flora; Allan E Rettie; Richard C Brundage; Timothy S Tracy
Journal:  Drug Metab Dispos       Date:  2022-07-07       Impact factor: 3.579

5.  Warfarin. Stereochemical aspects of its metabolism and the interaction with phenylbutazone.

Authors:  R J Lewis; W F Trager; K K Chan; A Breckenridge; M Orme; M Roland; W Schary
Journal:  J Clin Invest       Date:  1974-06       Impact factor: 14.808

6.  Meta-analysis: antithrombotic therapy to prevent stroke in patients who have nonvalvular atrial fibrillation.

Authors:  Robert G Hart; Lesly A Pearce; Maria I Aguilar
Journal:  Ann Intern Med       Date:  2007-06-19       Impact factor: 25.391

7.  Application of target-mediated drug disposition model to small molecule heat shock protein 90 inhibitors.

Authors:  Shinji Yamazaki; Zhongzhou Shen; Ying Jiang; Bill J Smith; Paolo Vicini
Journal:  Drug Metab Dispos       Date:  2013-04-04       Impact factor: 3.922

8.  Differential genotype dependent inhibition of CYP2C9 in humans.

Authors:  Vikas Kumar; Richard C Brundage; William S Oetting; Ilo E Leppik; Timothy S Tracy
Journal:  Drug Metab Dispos       Date:  2008-03-31       Impact factor: 3.922

9.  Clinical and genetic determinants of warfarin pharmacokinetics and pharmacodynamics during treatment initiation.

Authors:  Inna Y Gong; Ute I Schwarz; Natalie Crown; George K Dresser; Alejandro Lazo-Langner; GuangYong Zou; Dan M Roden; C Michael Stein; Marc Rodger; Philip S Wells; Richard B Kim; Rommel G Tirona
Journal:  PLoS One       Date:  2011-11-16       Impact factor: 3.240

10.  Genetic Polymorphism Effect on Warfarin-Rifampin Interaction: A Case Report and Review of Literature.

Authors:  Muhammad Salem; Islam Eljilany; Ahmed El-Bardissy; Hazem Elewa
Journal:  Pharmgenomics Pers Med       Date:  2021-01-26
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  1 in total

1.  Pharmacokinetic Modeling of Warfarin ІI - Model-based Analysis of Warfarin Metabolites following Warfarin Administered either Alone or Together with Fluconazole or Rifampin.

Authors:  Shen Cheng; Darcy R Flora; Allan E Rettie; Richard C Brundage; Timothy S Tracy
Journal:  Drug Metab Dispos       Date:  2022-07-07       Impact factor: 3.579

  1 in total

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