Literature DB >> 19773535

CYP2C8 activity recovers within 96 hours after gemfibrozil dosing: estimation of CYP2C8 half-life using repaglinide as an in vivo probe.

Janne T Backman1, Johanna Honkalammi, Mikko Neuvonen, Kaisa J Kurkinen, Aleksi Tornio, Mikko Niemi, Pertti J Neuvonen.   

Abstract

Gemfibrozil 1-O-beta-glucuronide is a mechanism-based inhibitor of cytochrome P450 2C8. We studied the recovery of CYP2C8 activity after discontinuation of gemfibrozil treatment using repaglinide as a probe drug, to estimate the in vivo turnover half-life of CYP2C8. In a randomized five-phase crossover study, nine healthy volunteers ingested 0.25 mg of repaglinide alone or after different time intervals after a 3-day treatment with 600 mg of gemfibrozil twice daily. The area under the plasma concentration-time curve (AUC) from time 0 to infinity of repaglinide was 7.6-, 2.9-, 1.4- and 1.0-fold compared with the control phase when it was administered 1, 24, 48, or 96 h after the last gemfibrozil dose, respectively (P < 0.001 versus control for 1, 24, and 48 h after gemfibrozil). Thus, a strong CYP2C8 inhibitory effect persisted even after gemfibrozil and gemfibrozil 1-O-beta-glucuronide concentrations had decreased to less than 1% of their maximum (24-h dosing interval). In addition, the metabolite to repaglinide AUC ratios indicated that significant (P < 0.05) inhibition of repaglinide metabolism continued up to 48 h after gemfibrozil administration. Based on the recovery of repaglinide oral clearance, the in vivo turnover half-life of CYP2C8 was estimated to average 22 +/- 6 h (mean +/- S.D.). In summary, CYP2C8 activity is recovered gradually during days 1 to 4 after gemfibrozil discontinuation, which should be considered when CYP2C8 substrate dosing is planned. The estimated CYP2C8 half-life will be useful for in vitro-in vivo extrapolations of drug-drug interactions involving induction or mechanism-based inhibition of CYP2C8.

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Year:  2009        PMID: 19773535     DOI: 10.1124/dmd.109.029728

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


  10 in total

1.  CYP2C8 but not CYP3A4 is important in the pharmacokinetics of montelukast.

Authors:  Tiina Karonen; Pertti J Neuvonen; Janne T Backman
Journal:  Br J Clin Pharmacol       Date:  2012-02       Impact factor: 4.335

2.  Effect of gemfibrozil and rifampicin on the pharmacokinetics of selexipag and its active metabolite in healthy subjects.

Authors:  Shirin Bruderer; Marc Petersen-Sylla; Margaux Boehler; Tatiana Remeňová; Atef Halabi; Jasper Dingemanse
Journal:  Br J Clin Pharmacol       Date:  2017-08-16       Impact factor: 4.335

3.  Implications of intercorrelation between hepatic CYP3A4-CYP2C8 enzymes for the evaluation of drug-drug interactions: a case study with repaglinide.

Authors:  Kosuke Doki; Adam S Darwich; Brahim Achour; Aleksi Tornio; Janne T Backman; Amin Rostami-Hodjegan
Journal:  Br J Clin Pharmacol       Date:  2018-03-06       Impact factor: 4.335

4.  Repaglinide-gemfibrozil drug interaction: inhibition of repaglinide glucuronidation as a potential additional contributing mechanism.

Authors:  Jinping Gan; Weiqi Chen; Hong Shen; Ling Gao; Yang Hong; Yuan Tian; Wenying Li; Yueping Zhang; Yuwei Tang; Hongjian Zhang; William Griffith Humphreys; A David Rodrigues
Journal:  Br J Clin Pharmacol       Date:  2010-12       Impact factor: 4.335

5.  In Vitro Metabolism of Montelukast by Cytochrome P450s and UDP-Glucuronosyltransferases.

Authors:  Josiane de Oliveira Cardoso; Regina Vincenzi Oliveira; Jessica Bo Li Lu; Zeruesenay Desta
Journal:  Drug Metab Dispos       Date:  2015-12       Impact factor: 3.922

6.  The CYP2C8 inhibitor gemfibrozil does not affect the pharmacokinetics of zafirlukast.

Authors:  Tiina Karonen; Pertti J Neuvonen; Janne T Backman
Journal:  Eur J Clin Pharmacol       Date:  2010-10-08       Impact factor: 2.953

7.  Reduced physiologically-based pharmacokinetic model of repaglinide: impact of OATP1B1 and CYP2C8 genotype and source of in vitro data on the prediction of drug-drug interaction risk.

Authors:  Michael Gertz; Nikolaos Tsamandouras; Carolina Säll; J Brian Houston; Aleksandra Galetin
Journal:  Pharm Res       Date:  2014-03-13       Impact factor: 4.200

Review 8.  Progress in Prediction and Interpretation of Clinically Relevant Metabolic Drug-Drug Interactions: a Minireview Illustrating Recent Developments and Current Opportunities.

Authors:  Stephen Fowler; Peter N Morcos; Yumi Cleary; Meret Martin-Facklam; Neil Parrott; Michael Gertz; Li Yu
Journal:  Curr Pharmacol Rep       Date:  2017-02-01

9.  Physiologically Based Pharmacokinetic Models for Prediction of Complex CYP2C8 and OATP1B1 (SLCO1B1) Drug-Drug-Gene Interactions: A Modeling Network of Gemfibrozil, Repaglinide, Pioglitazone, Rifampicin, Clarithromycin and Itraconazole.

Authors:  Denise Türk; Nina Hanke; Sarah Wolf; Sebastian Frechen; Thomas Eissing; Thomas Wendl; Matthias Schwab; Thorsten Lehr
Journal:  Clin Pharmacokinet       Date:  2019-12       Impact factor: 6.447

10.  Napabucasin Drug-Drug Interaction Potential, Safety, Tolerability, and Pharmacokinetics Following Oral Dosing in Healthy Adult Volunteers.

Authors:  Xiaoshu Dai; Michael D Karol; Matthew Hitron; Marjie L Hard; Matthew T Goulet; Colleen F McLaughlin; Scott J Brantley
Journal:  Clin Pharmacol Drug Dev       Date:  2021-06-09
  10 in total

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