Literature DB >> 21124313

Are circulating metabolites important in drug-drug interactions?: Quantitative analysis of risk prediction and inhibitory potency.

C K Yeung1, Y Fujioka, H Hachad, R H Levy, N Isoherranen.   

Abstract

The potential of metabolites to contribute to drug-drug interactions (DDIs) is not well defined. The aim of this study was to determine the quantitative role of circulating metabolites in inhibitory DDIs in vivo. The area under the plasma concentration-time curve (AUC) data related to at least one circulating metabolite was available for 71% of the 102 inhibitor drugs identified. Of the 80 metabolites characterized at steady state, 78% had AUCs >10% of that of the parent drug. A comparison of the inhibitor concentration/inhibition constant ([I]/K(i)) ratios of metabolites and the respective parent drugs showed that 17 of the 21 (80%) reversible inhibitors studied had metabolites that were likely to contribute to in vivo DDIs, with some metabolites predicted to have inhibitory effects greater than those of the parent drug. The in vivo drug interaction risks associated with amiodarone, bupropion, and sertraline could be identified from in vitro data only, when data pertaining to metabolites were included in the predictions. In conclusion, cytochrome P450 (CYP) inhibitors often have circulating metabolites that contribute to clinically observed CYP inhibition.

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Year:  2010        PMID: 21124313      PMCID: PMC3474849          DOI: 10.1038/clpt.2010.252

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


  50 in total

1.  Coadministration of sertraline with cisapride or pimozide: an open-label, nonrandomized examination of pharmacokinetics and corrected QT intervals in healthy adult volunteers.

Authors:  Jeffrey Alderman
Journal:  Clin Ther       Date:  2005-07       Impact factor: 3.393

2.  Impact of parallel pathways of drug elimination and multiple cytochrome P450 involvement on drug-drug interactions: CYP2D6 paradigm.

Authors:  Kiyomi Ito; David Hallifax; R Scott Obach; J Brian Houston
Journal:  Drug Metab Dispos       Date:  2005-06       Impact factor: 3.922

Review 3.  In vitro cytochrome P450 inhibition data and the prediction of drug-drug interactions: qualitative relationships, quantitative predictions, and the rank-order approach.

Authors:  R Scott Obach; Robert L Walsky; Karthik Venkatakrishnan; J Brian Houston; Larry M Tremaine
Journal:  Clin Pharmacol Ther       Date:  2005-12       Impact factor: 6.875

4.  Prediction of in vivo drug-drug interactions from in vitro data: impact of incorporating parallel pathways of drug elimination and inhibitor absorption rate constant.

Authors:  Hayley S Brown; Kiyomi Ito; Aleksandra Galetin; J Brian Houston
Journal:  Br J Clin Pharmacol       Date:  2005-11       Impact factor: 4.335

5.  Tolvaptan administration does not affect steady state amiodarone concentrations in patients with cardiac arrhythmias.

Authors:  Susan Elizabeth Shoaf; Marcelo Víctor Elizari; Zhao Wang; Kumara Sekar; Liliana Rosa Grinfeld; N Alejandro Barbagelata; Jorge Lerman; Steven Lee Bramer; Jorge Trongé; Cesare Orlandi
Journal:  J Cardiovasc Pharmacol Ther       Date:  2005-09       Impact factor: 2.457

6.  ABCB1 haplotypes differentially affect the pharmacokinetics of the acid and lactone forms of simvastatin and atorvastatin.

Authors:  J E Keskitalo; K J Kurkinen; P J Neuvoneni; M Niemi
Journal:  Clin Pharmacol Ther       Date:  2008-10       Impact factor: 6.875

7.  Effects of imatinib (Glivec) on the pharmacokinetics of metoprolol, a CYP2D6 substrate, in Chinese patients with chronic myelogenous leukaemia.

Authors:  Yanfeng Wang; Li Zhou; Catherine Dutreix; Elisabeth Leroy; Qi Yin; Venkat Sethuraman; Gilles-Jacques Riviere; Ophelia Q P Yin; Horst Schran; Zhi-Xiang Shen
Journal:  Br J Clin Pharmacol       Date:  2008-04-01       Impact factor: 4.335

Review 8.  Qualitative analysis of the role of metabolites in inhibitory drug-drug interactions: literature evaluation based on the metabolism and transport drug interaction database.

Authors:  Nina Isoherranen; Houda Hachad; Catherine K Yeung; Rene H Levy
Journal:  Chem Res Toxicol       Date:  2009-02       Impact factor: 3.739

9.  Prediction of the effect of erythromycin, diltiazem, and their metabolites, alone and in combination, on CYP3A4 inhibition.

Authors:  Xin Zhang; David R Jones; Stephen D Hall
Journal:  Drug Metab Dispos       Date:  2008-10-14       Impact factor: 3.922

10.  An in vitro mechanistic study to elucidate the desipramine/bupropion clinical drug-drug interaction.

Authors:  Melinda J Reese; Robert M Wurm; Keith T Muir; Grant T Generaux; Lisa St John-Williams; Donavon J McConn
Journal:  Drug Metab Dispos       Date:  2008-04-17       Impact factor: 3.922

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  18 in total

1.  Drug-drug interaction potential of marketed oncology drugs: in vitro assessment of time-dependent cytochrome P450 inhibition, reactive metabolite formation and drug-drug interaction prediction.

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Journal:  Pharm Res       Date:  2012-03-14       Impact factor: 4.200

2.  In vivo information-guided prediction approach for assessing the risks of drug-drug interactions associated with circulating inhibitory metabolites.

Authors:  Zhe-Yi Hu; Robert B Parker; S Casey Laizure
Journal:  Drug Metab Dispos       Date:  2012-05-04       Impact factor: 3.922

3.  Prediction of relative in vivo metabolite exposure from in vitro data using two model drugs: dextromethorphan and omeprazole.

Authors:  Justin D Lutz; Nina Isoherranen
Journal:  Drug Metab Dispos       Date:  2011-10-18       Impact factor: 3.922

4.  Inhibition of CYP2C19 and CYP3A4 by omeprazole metabolites and their contribution to drug-drug interactions.

Authors:  Yoshiyuki Shirasaka; Jennifer E Sager; Justin D Lutz; Connie Davis; Nina Isoherranen
Journal:  Drug Metab Dispos       Date:  2013-04-25       Impact factor: 3.922

5.  The Role of Drug Metabolites in the Inhibition of Cytochrome P450 Enzymes.

Authors:  Momir Mikov; Maja Đanić; Nebojša Pavlović; Bojan Stanimirov; Svetlana Goločorbin-Kon; Karmen Stankov; Hani Al-Salami
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2017-12       Impact factor: 2.441

Review 6.  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

7.  Pharmacokinetics, metabolism, bioavailability, tissue distribution and excretion studies of 16α-hydroxycleroda-3, 13(14) Z -dien-15, 16-olide-a novel HMG-CoA reductase inhibitor.

Authors:  Tulsankar Sachin Laxman; Santosh Kumar Puttrevu; Rajesh Pradhan; Anjali Mishra; Sarvesh Verma; Yashpal S Chhonker; Swarnim Srivastava; Suriya P Singh; Koneni V Sashidhara; Rabi Sankar Bhatta
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2018-06-06       Impact factor: 3.000

8.  An S-warfarin and AZD1981 interaction: in vitro and clinical pilot data suggest the N-deacetylated amino acid metabolite as the primary perpetrator.

Authors:  Ken Grime; Rikard Pehrson; Pär Nordell; Michael Gillen; Wolfgang Kühn; Timothy Mant; Marie Brännström; Petter Svanberg; Barry Jones; Clive Brealey
Journal:  Br J Clin Pharmacol       Date:  2016-10-13       Impact factor: 4.335

9.  In vitro to in vivo extrapolation of the complex drug-drug interaction of bupropion and its metabolites with CYP2D6; simultaneous reversible inhibition and CYP2D6 downregulation.

Authors:  Jennifer E Sager; Sasmita Tripathy; Lauren S L Price; Abhinav Nath; Justine Chang; Alyssa Stephenson-Famy; Nina Isoherranen
Journal:  Biochem Pharmacol       Date:  2016-11-09       Impact factor: 5.858

Review 10.  Computational prediction of metabolism: sites, products, SAR, P450 enzyme dynamics, and mechanisms.

Authors:  Johannes Kirchmair; Mark J Williamson; Jonathan D Tyzack; Lu Tan; Peter J Bond; Andreas Bender; Robert C Glen
Journal:  J Chem Inf Model       Date:  2012-02-17       Impact factor: 4.956

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