Literature DB >> 19369937

Relative impact of genotype and enzyme induction on the metabolic capacity of CYP2C9 in healthy volunteers.

S V Vormfelde1, J Brockmöller, S Bauer, P Herchenhein, J Kuon, I Meineke, I Roots, J Kirchheiner.   

Abstract

Pharmacokinetics in individual subjects is determined by genes and environment. The relative contributions of enzyme induction and inherited genomic variation to cytochrome P450 enzyme 2C9 (CYP2C9) activity are unknown. In 130 volunteers, CYP2C9 activity was measured in vivo using tolbutamide as a probe drug. Tolbutamide was administered orally, and the pharmacokinetics of the drug was analyzed twice--before and after four doses of 450 mg rifampin. Mean total apparent clearances (Cl/F) in the genotype groups CYP2C9*1/*1, *1/*2, *1/*3, *2/*3, and *3/*3 before rifampin were 0.78, 0.74, 0.52, 0.40, and 0.13 l/h, respectively. After rifampin administration, these clearances increased in all genotype groups by a median factor of 1.9 (range 1.1-4.8). The combined effects of genes and environment could be predicted by a simple additive model. Thus, enzyme induction resulted in an approximately twofold difference in CYP2C9 activity, irrespective of the CYP2C9 genotypes. But the difference in activity levels between the CYP2C9*1/*1 and *3/*3 genotypes before the administration of rifampin was sixfold.

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Year:  2009        PMID: 19369937     DOI: 10.1038/clpt.2009.40

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  7 in total

Review 1.  The role of pharmacogenetics in drug disposition and response of oral glucose-lowering drugs.

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Review 2.  Addressing phenoconversion: the Achilles' heel of personalized medicine.

Authors:  Rashmi R Shah; Robert L Smith
Journal:  Br J Clin Pharmacol       Date:  2015-02       Impact factor: 4.335

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Authors:  J B Dumond; M Vourvahis; N L Rezk; K B Patterson; H-C Tien; N White; S H Jennings; S O Choi; J Li; M J Wagner; N M La-Beck; M Drulak; J P Sabo; M A Castles; T R Macgregor; A D M Kashuba
Journal:  Clin Pharmacol Ther       Date:  2010-02-10       Impact factor: 6.875

4.  Prediction of the Impact of Cytochrome P450 2C9 Genotypes on the Drug-Drug Interaction Potential of Siponimod With Physiologically-Based Pharmacokinetic Modeling: A Comprehensive Approach for Drug Label Recommendations.

Authors:  Felix Huth; Anne Gardin; Kenichi Umehara; Handan He
Journal:  Clin Pharmacol Ther       Date:  2019-08-11       Impact factor: 6.875

5.  Effect of anti-tuberculosis therapy on polymorphic drug metabolizing enzyme CYP2C9 using phenytoin as a probe drug.

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Journal:  Indian J Pharmacol       Date:  2012 Jul-Aug       Impact factor: 1.200

Review 6.  Drug-drug-gene interactions and adverse drug reactions.

Authors:  Mustafa Adnan Malki; Ewan Robert Pearson
Journal:  Pharmacogenomics J       Date:  2019-12-03       Impact factor: 3.550

7.  Prediction of the drug-drug interaction potential of the α1-acid glycoprotein bound, CYP3A4/CYP2C9 metabolized oncology drug, erdafitinib.

Authors:  Loeckie De Zwart; Jan Snoeys; Frank Jacobs; Lilian Y Li; Italo Poggesi; Peter Verboven; Ivo Goris; Ellen Scheers; Inneke Wynant; Mario Monshouwer; Rao N V S Mamidi
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-08-11
  7 in total

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