Literature DB >> 22823924

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

Nina Isoherranen1, Justin D Lutz, Sophie P Chung, Houda Hachad, Rene H Levy, Isabelle Ragueneau-Majlessi.   

Abstract

Drugs that are mainly cleared by a single enzyme are considered more sensitive to drug-drug interactions (DDIs) than drugs cleared by multiple pathways. However, whether this is true when a drug cleared by multiple pathways is coadministered with an inhibitor of multiple P450 enzymes (multi-P450 inhibition) is not known. Mathematically, simultaneous equipotent inhibition of two elimination pathways that each contribute half of the drug clearance is equal to equipotent inhibition of a single pathway that clears the drug. However, simultaneous strong or moderate inhibition of two pathways by a single inhibitor is perceived as an unlikely scenario. The aim of this study was (i) to identify P450 inhibitors currently in clinical use that can inhibit more than one clearance pathway of an object drug in vivo and (ii) to evaluate the magnitude and predictability of DDIs caused by these multi-P450 inhibitors. Multi-P450 inhibitors were identified using the Metabolism and Transport Drug Interaction Database. A total of 38 multi-P450 inhibitors, defined as inhibitors that increased the AUC or decreased the clearance of probes of two or more P450s, were identified. Seventeen (45%) multi-P450 inhibitors were strong inhibitors of at least one P450, and an additional 12 (32%) were moderate inhibitors of one or more P450s. Only one inhibitor (fluvoxamine) was a strong inhibitor of more than one enzyme. Fifteen of the multi-P450 inhibitors also inhibit drug transporters in vivo, but such data are lacking on many of the inhibitors. Inhibition of multiple P450 enzymes by a single inhibitor resulted in significant (>2-fold) clinical DDIs with drugs that are cleared by multiple pathways such as imipramine and diazepam, while strong P450 inhibitors resulted in only weak DDIs with these object drugs. The magnitude of the DDIs between multi-P450 inhibitors and diazepam, imipramine, and omeprazole could be predicted using in vitro data with similar accuracy as probe substrate studies with the same inhibitors. The results of this study suggest that inhibition of multiple clearance pathways in vivo is clinically relevant, and the risk of DDIs with object drugs may be best evaluated in studies using multi-P450 inhibitors.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22823924      PMCID: PMC3502654          DOI: 10.1021/tx300192g

Source DB:  PubMed          Journal:  Chem Res Toxicol        ISSN: 0893-228X            Impact factor:   3.739


  207 in total

1.  Effect of ketoconazole and terbinafine on the pharmacokinetics of caffeine in healthy volunteers.

Authors:  A Wahlländer; G Paumgartner
Journal:  Eur J Clin Pharmacol       Date:  1989       Impact factor: 2.953

2.  Evaluation of the potential for interactions of paroxetine with diazepam, cimetidine, warfarin, and digoxin.

Authors:  S J Bannister; V P Houser; J D Hulse; J C Kisicki; J G Rasmussen
Journal:  Acta Psychiatr Scand Suppl       Date:  1989

3.  A study of the potential effect of sertraline on the pharmacokinetics and protein binding of tolbutamide.

Authors:  L M Tremaine; K D Wilner; S H Preskorn
Journal:  Clin Pharmacokinet       Date:  1997       Impact factor: 6.447

4.  Steady-state concentrations of imipramine and its metabolites in relation to the sparteine/debrisoquine polymorphism.

Authors:  K Brøsen; R Klysner; L F Gram; S V Otton; P Bech; L Bertilsson
Journal:  Eur J Clin Pharmacol       Date:  1986       Impact factor: 2.953

5.  The influence of disulfiram on the half life and metabolic clearance rate of diphenylhydantoin and tolbtamide in man.

Authors:  T L Svendsen; M B Kristensen; J M Hansen; L Skovsted
Journal:  Eur J Clin Pharmacol       Date:  1976-03-22       Impact factor: 2.953

6.  The role of cytochrome P2C19 in R-warfarin pharmacokinetics and its interaction with omeprazole.

Authors:  Tsukasa Uno; Katsuyoshi Sugimoto; Kazunobu Sugawara; Tomonori Tateishi
Journal:  Ther Drug Monit       Date:  2008-06       Impact factor: 3.681

7.  A study of the interaction of roxithromycin with theophylline and carbamazepine.

Authors:  B Saint-Salvi; D Tremblay; A Surjus; M A Lefebvre
Journal:  J Antimicrob Chemother       Date:  1987-11       Impact factor: 5.790

8.  Effect of fluconazole on theophylline disposition in humans.

Authors:  H Konishi; K Morita; A Yamaji
Journal:  Eur J Clin Pharmacol       Date:  1994       Impact factor: 2.953

9.  Effects of cimetidine and ranitidine on the pharmacokinetics of a chronotherapeutically formulated once-daily theophylline preparation (Uniphyl).

Authors:  I M Fraser; K M Buttoo; S E Walker; J H Stewart; N Babul
Journal:  Clin Ther       Date:  1993 Mar-Apr       Impact factor: 3.393

10.  Interethnic difference in omeprazole's inhibition of diazepam metabolism.

Authors:  Y Caraco; T Tateishi; A J Wood
Journal:  Clin Pharmacol Ther       Date:  1995-07       Impact factor: 6.875

View more
  8 in total

1.  Effect of Fluconazole and Itraconazole on the Pharmacokinetics of Erdafitinib in Healthy Adults: A Randomized, Open-Label, Drug-Drug Interaction Study.

Authors:  Italo Poggesi; Lilian Y Li; James Jiao; Peter Hellemans; Freya Rasschaert; Loeckie de Zwart; Jan Snoeys; Marc De Meulder; Rao N V S Mamidi; Daniele Ouellet
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2020-02       Impact factor: 2.441

2.  Intestinal Efflux Transporters P-gp and BCRP Are Not Clinically Relevant in Apixaban Disposition.

Authors:  Jasleen K Sodhi; Shuaibing Liu; Leslie Z Benet
Journal:  Pharm Res       Date:  2020-09-29       Impact factor: 4.200

3.  Characterization of Correction Factors to Enable Assessment of Clinical Risk from In Vitro CYP3A4 Induction Data and Basic Drug-Drug Interaction Models.

Authors:  Diane Ramsden; Cody L Fullenwider
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2022-03-28       Impact factor: 2.569

4.  Artificial neural network cascade identifies multi-P450 inhibitors in natural compounds.

Authors:  Zhangming Li; Yan Li; Lu Sun; Yun Tang; Lanru Liu; Wenliang Zhu
Journal:  PeerJ       Date:  2015-12-21       Impact factor: 2.984

5.  Fluoxetine- and norfluoxetine-mediated complex drug-drug interactions: in vitro to in vivo correlation of effects on CYP2D6, CYP2C19, and CYP3A4.

Authors:  J E Sager; J D Lutz; R S Foti; C Davis; K L Kunze; N Isoherranen
Journal:  Clin Pharmacol Ther       Date:  2014-02-25       Impact factor: 6.875

6.  Effect of Moringa oleifera Lam. leaf powder on the pharmacokinetics of nevirapine in HIV-infected adults: a one sequence cross-over study.

Authors:  Tsitsi G Monera-Penduka; Charles C Maponga; Alan R Wolfe; Lubbe Wiesner; Gene D Morse; Charles F B Nhachi
Journal:  AIDS Res Ther       Date:  2017-03-14       Impact factor: 2.250

7.  Risk assessment and molecular mechanism study of drug-drug interactions between rivaroxaban and tyrosine kinase inhibitors mediated by CYP2J2/3A4 and BCRP/P-gp.

Authors:  Tingting Zhao; Xuening Li; Yanwei Chen; Jie Du; Xiaodong Chen; Dalong Wang; Liyan Wang; Shan Zhao; Changyuan Wang; Qiang Meng; Huijun Sun; Kexin Liu; Jingjing Wu
Journal:  Front Pharmacol       Date:  2022-08-22       Impact factor: 5.988

8.  Volume of Distribution is Unaffected by Metabolic Drug-Drug Interactions.

Authors:  Jasleen K Sodhi; Caroline H Huang; Leslie Z Benet
Journal:  Clin Pharmacokinet       Date:  2021-02       Impact factor: 5.577

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.