Work

A model‐based analysis of the CYP2C9 genotype effects on fluconazole inhibition using flurbiprofen, ketoprofen and tolbutamide as probe drugs

Year: 2026

Type: article

Abstract: Background The activity of CYP2C9, an important drug metabolism enzyme, is subject to the impact of genetic polymorphism. The single nucleotide polymorphism *3 is significantly associated with the increased exposure of CYP2C9 substrates. In addition, metabolic enzyme inhibitors such as fluconazole may also increase the drug exposure of CYP2C9 substrates. However, the interactions between the impact of CYP2C9 genotypes and the inhibitory effects of interacting drugs with respect to the CYP2C9 mediated fraction of metabolism ( f m ) are rarely investigated. Experimental Approaches Using tolbutamide, flurbiprofen and ketoprofen as representative substrates with high, medium and low CYP2C9 mediated f m , respectively, an open‐label, block‐randomized, crossover clinical drug–drug interaction study was conducted using fluconazole as a representative interacting drug. A pharmacometric model‐based analysis was subsequently performed to assess the impact of CYP2C9 genotypes on the absolute and fractional changes in apparent clearance (CL/F) with fluconazole co‐administration. Key Results Our study shows tolbutamide and flurbiprofen, but not ketoprofen, exhibit CYP2C9 genotype‐dependency on both absolute and fractional changes in CL/F following the fluconazole co‐administration. An interesting finding is the CYP2C9 genotype‐dependency on fluconazole induced fractional CL/F changes is more pronounced in a CYP2C9 substrate with medium CYP2C9 mediated f m , in comparison to a CYP2C9 substrate with high or low CYP2C9 mediated f m . Conclusions and Implications Our study provides quantitative insights into the genotype‐dependent exposure changes of probe drugs with varying CYP2C9 metabolic contributions following the co‐administration of fluconazole, highlighting the role of CYP2C9 metabolic contributions in guiding the precision dosing of CYP2C9 substrates.

Source: British Journal of Pharmacology

DOI: 10.1111/bph.70337

Authors: Shen Cheng, Darcy R. Flora, Mutaz M. Jaber, Allan E. Rettie, Richard C. Brundage, Timothy S. Tracy

Institutions: University of Minnesota, Gilead Sciences (United States), University of Washington

Language: English

Topic: Pharmacogenetics and Drug Metabolism

Subfield: Pharmacology

Field: Pharmacology, Toxicology and Pharmaceutics

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $4,780