Literature DB >> 11719727

Fluvoxamine-theophylline interaction: gap between in vitro and in vivo inhibition constants toward cytochrome P4501A2.

C Yao1, K L Kunze, E D Kharasch, Y Wang, W F Trager, I Ragueneau, R H Levy.   

Abstract

OBJECTIVE: Several reports indicate that fluvoxamine decreases the clearance of cytochrome P4501A2 (CYP1A2) substrates. This study compared in vitro and in vivo inhibition potencies of fluvoxamine toward CYP1A2 with an approach based on inhibition constants (K(i)) determined in vitro and in vivo.
METHODS: In vitro inhibition constant values were determined with human liver microsomes and complementary deoxyribonucleic acid-expressed CYP1A2 (supersomes). Fluvoxamine in vivo inhibition constants (K(i)iv) for CYP1A2 were obtained from an investigation of single-dose theophylline (250 mg) disposition in 9 healthy volunteers receiving steady-state (9 days) fluvoxamine at 3 doses (0, 25, or 75 mg/d) in a randomized crossover design.
RESULTS: In vitro K(i) values based on total inhibitor concentrations were 177 +/- 56 nmol/L, 121 +/- 21 nmol/L, and 52 +/- 13 nmol/L in human liver microsomes with 1 mg/ml protein and 0.5 mg/ml protein and in supersomes with 0.3 mg/ml protein, respectively. The corresponding in vitro K(i) values based on unbound fluvoxamine concentrations were 35 nmol/L, 36 nmol/L, and 36 nmol/L. The ratio of 1-methyluric acid formation clearances (control/inhibited) in 8 subjects was positively correlated with fluvoxamine concentration (r (2) = 0.87; P <.001) with an intercept near 1. Mean values for K(i)iv based on total and unbound plasma concentrations at steady state were 25.3 nmol/L (range, 14-39 nmol/L) and 3.6 nmol/L (range, 2.4-5.9 nmol/L), respectively.
CONCLUSION: Comparison of in vitro and in vivo K(i) values based on unbound fluvoxamine concentrations suggests that fluvoxamine inhibition potency is approximately 10 times greater in vivo than in vitro.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11719727     DOI: 10.1067/mcp.2001.119724

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


  10 in total

Review 1.  Predicting drug-drug interactions: an FDA perspective.

Authors:  Lei Zhang; Yuanchao Derek Zhang; Ping Zhao; Shiew-Mei Huang
Journal:  AAPS J       Date:  2009-05-06       Impact factor: 4.009

Review 2.  Importance of multi-p450 inhibition in drug-drug interactions: evaluation of incidence, inhibition magnitude, and prediction from in vitro data.

Authors:  Nina Isoherranen; Justin D Lutz; Sophie P Chung; Houda Hachad; Rene H Levy; Isabelle Ragueneau-Majlessi
Journal:  Chem Res Toxicol       Date:  2012-09-27       Impact factor: 3.739

3.  Fluvoxamine impairs single-dose caffeine clearance without altering caffeine pharmacodynamics.

Authors:  Kerry E Culm-Merdek; Lisa L von Moltke; Jerold S Harmatz; David J Greenblatt
Journal:  Br J Clin Pharmacol       Date:  2005-11       Impact factor: 4.335

4.  Inhibitory effect of stiripentol on carbamazepine and saquinavir metabolism in human.

Authors:  N Cazali; A Tran; J M Treluyer; E Rey; P d'Athis; J Vincent; G Pons
Journal:  Br J Clin Pharmacol       Date:  2003-11       Impact factor: 4.335

5.  Effect of fluvoxamine on the pharmacokinetics of roflumilast and roflumilast N-oxide.

Authors:  Oliver von Richter; Gezim Lahu; Andreas Huennemeyer; Rolf Herzog; Karl Zech; Robert Hermann
Journal:  Clin Pharmacokinet       Date:  2007       Impact factor: 6.447

6.  In vitro and in vivo evaluations of cytochrome P450 1A2 interactions with duloxetine.

Authors:  Evelyn D Lobo; Richard F Bergstrom; Shobha Reddy; Tonya Quinlan; Jill Chappell; Quan Hong; Barbara Ring; Mary Pat Knadler
Journal:  Clin Pharmacokinet       Date:  2008       Impact factor: 6.447

7.  Prediction of CYP-mediated DDIs involving inhibition: Approaches to address the requirements for system qualification of the Simcyp Simulator.

Authors:  Peter J Kilford; Kuan-Fu Chen; Kim Crewe; Iain Gardner; Oliver Hatley; Alice Ban Ke; Sibylle Neuhoff; Mian Zhang; Karen Rowland Yeo
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2022-04-28

8.  Physiologically-Based Pharmacokinetic Modeling for the Prediction of CYP2D6-Mediated Gene-Drug-Drug Interactions.

Authors:  Flavia Storelli; Jules Desmeules; Youssef Daali
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2019-07-03

Review 9.  Drug-Drug Interactions Involving Intestinal and Hepatic CYP1A Enzymes.

Authors:  Florian Klomp; Christoph Wenzel; Marek Drozdzik; Stefan Oswald
Journal:  Pharmaceutics       Date:  2020-12-11       Impact factor: 6.321

10.  A Physiologically-Based Pharmacokinetic (PBPK) Model Network for the Prediction of CYP1A2 and CYP2C19 Drug-Drug-Gene Interactions with Fluvoxamine, Omeprazole, S-mephenytoin, Moclobemide, Tizanidine, Mexiletine, Ethinylestradiol, and Caffeine.

Authors:  Tobias Kanacher; Andreas Lindauer; Enrica Mezzalana; Ingrid Michon; Celine Veau; Jose David Gómez Mantilla; Valerie Nock; Angèle Fleury
Journal:  Pharmaceutics       Date:  2020-12-08       Impact factor: 6.321

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.