Translational aspects of cytochrome P450-mediated drug-drug interactions: A case study with clopidogrel.


Journal

Basic & clinical pharmacology & toxicology
ISSN: 1742-7843
Titre abrégé: Basic Clin Pharmacol Toxicol
Pays: England
ID NLM: 101208422

Informations de publication

Date de publication:
Jan 2022
Historique:
revised: 04 08 2021
received: 24 03 2021
accepted: 16 08 2021
pubmed: 20 8 2021
medline: 25 3 2022
entrez: 19 8 2021
Statut: ppublish

Résumé

Multimorbidity, polypharmacotherapy and drug interactions are increasingly common in the ageing population. Many drug-drug interactions (DDIs) are caused by perpetrator drugs inhibiting or inducing cytochrome P450 (CYP) enzymes, resulting in alterations of the plasma concentrations of a victim drug. DDIs can have a major negative health impact, and in the past, unrecognized DDIs have resulted in drug withdrawals from the market. Signals to investigate DDIs may emerge from a variety of sources. Nowadays, standard methods are widely available to identify and characterize the mechanisms of CYP-mediated DDIs in vitro. Clinical pharmacokinetic studies, in turn, provide experimental data on pharmacokinetic outcomes of DDIs. Physiologically based pharmacokinetic (PBPK) modelling utilizing both in vitro and in vivo data is a powerful tool to predict different DDI scenarios. Finally, epidemiological studies can provide estimates on the health outcomes of DDIs. Thus, to fully characterize the mechanisms, clinical effects and implications of CYP-mediated DDIs, translational research approaches are required. This minireview provides an overview of translational approaches to study CYP-mediated DDIs, going beyond regulatory DDI guidelines, and an illustrative case study of how the DDI potential of clopidogrel was unveiled by combining these different methods.

Identifiants

pubmed: 34410044
doi: 10.1111/bcpt.13647
doi:

Substances chimiques

Cytochrome P-450 Enzyme Inducers 0
Cytochrome P-450 Enzyme Inhibitors 0
Platelet Aggregation Inhibitors 0
Cytochrome P-450 Enzyme System 9035-51-2
Clopidogrel A74586SNO7

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

48-59

Subventions

Organisme : State Funding for University-Level Health Research (Hospital District of Helsinki and Uusimaa, Finland)
Organisme : Sigrid Jusélius Foundation
Organisme : Academy of Finland
ID : 325667

Informations de copyright

© 2021 The Authors. Basic & Clinical Pharmacology & Toxicology published by John Wiley & Sons Ltd on behalf of Nordic Association for the Publication of BCPT (former Nordic Pharmacological Society).

Références

US Food and Drug Administration, Center for Drug Evaluation and Research. In vitro drug interaction studies-cytochrome P450 enzyme- and transporter-mediated drug interactions guidance for industry. 2020. https://www.fda.gov/regulatory-information/search-fda-guidance-documents/vitro-drug-interaction-studies-cytochrome-p450-enzyme-and-transporter-mediated-drug-interactions Accessed 15 March 2021.
US Food and Drug Administration, Center for Drug Evaluation and Research Clinical drug interaction studies-study design, data analysis, and clinical implications guidance for industry. 2020. https://www.fda.gov/regulatory-information/search-fda-guidance-documents/clinical-drug-interaction-studies-cytochrome-p450-enzyme-and-transporter-mediated-drug-interactions Accessed 15 March 2021.
European Medicines Agency. Guideline on the investigation of drug interactions. 2012. https://www.ema.europa.eu/en/documents/scientific-guideline/guideline-investigation-drug-interactions-revision-1_en.pdf Accessed 15 March 2021.
Lu C, Di L. In vitro and in vivo methods to assess pharmacokinetic drug- drug interactions in drug discovery and development. Biopharm Drug Dispos. 2020;41(1-2):3-31.
Varma MVS, Bi YA, Lazzaro S, West M. Clopidogrel as a perpetrator of drug-drug interactions: a challenge for quantitative predictions? Clin Pharmacol Ther. 2019;105(6):1295-1299.
Percha B, Altman RB. Informatics confronts drug-drug interactions. Trends Pharmacol Sci. 2013;34(3):178-184.
Floyd JS, Kaspera R, Marciante KD, et al. A screening study of drug-drug interactions in cerivastatin users: an adverse effect of clopidogrel. Clin Pharmacol Ther. 2012;91(5):896-904.
Ai N, Fan X, Ekins S. In silico methods for predicting drug-drug interactions with cytochrome P-450s, transporters and beyond. Adv Drug Deliv Rev. 2015;86:46-60.
Backman JT, Filppula AM, Niemi M, Neuvonen PJ. Role of cytochrome P450 2C8 in drug metabolism and interactions. Pharmacol Rev. 2016;68(1):168-241.
Bohnert T, Patel A, Templeton I, et al. Evaluation of a new molecular entity as a victim of metabolic drug-drug interactions-an industry perspective. Drug Metab Dispos. 2016;44(8):1399-1423.
Pelkonen O, Turpeinen M. In vitro-in vivo extrapolation of hepatic clearance: biological tools, scaling factors, model assumptions and correct concentrations. Xenobiotica. 2007;37(10-11):1066-1089.
Kahma H, Filppula AM, Launiainen T, et al. Critical differences between enzyme sources in sensitivity to detect time-dependent inactivation of CYP2C8. Drug Metab Dispos. 2019;47(4):436-443.
Isoherranen N, Madabushi R, Huang SM. Emerging role of organ-on-a-chip technologies in quantitative clinical pharmacology evaluation. Clin Transl Sci. 2019;12(2):113-121.
Ghanbari F, Rowland-Yeo K, Bloomer JC, et al. A critical evaluation of the experimental design of studies of mechanism based enzyme inhibition, with implications for in vitro-in vivo extrapolation. Curr Drug Metab. 2006;7(3):315-334.
Kahma H, Aurinsalo L, Neuvonen M, et al. An automated cocktail method for in vitro assessment of direct and time-dependent inhibition of nine major cytochrome P450 enzymes - application to establishing CYP2C8 inhibitor selectivity. Eur J Pharm Sci. 2021;162:105810.
Templeton IE, Chen Y, Mao J, et al. Quantitative prediction of drug-drug interactions involving inhibitory metabolites in drug development: how can physiologically based pharmacokinetic modeling help? CPT Pharmacometrics Syst Pharmacol. 2016;5(10):505-515.
Vieira ML, Kirby B, Ragueneau-Majlessi I, et al. Evaluation of various static in vitro-in vivo extrapolation models for risk assessment of the CYP3A inhibition potential of an investigational drug. Clin Pharmacol Ther. 2014;95(2):189-198.
Filppula AM, Parvizi R, Mateus A, Baranczewski P, Artursson P. Improved predictions of time-dependent drug-drug interactions by determination of cytosolic drug concentrations. Sci Rep. 2019;9(1):5850.
Treyer A, Ullah M, Parrott N, Molitor B, Fowler S, Artursson P. Impact of intracellular concentrations on metabolic drug-drug interaction studies. AAPS j. 2019;21(5):77.
Tornio A, Filppula AM, Niemi M, Backman JT. Clinical studies on drug-drug interactions involving metabolism and transport: methodology, pitfalls, and interpretation. Clin Pharmacol Ther. 2019;105(6):1345-1361.
Fuhr U, Hsin CH, Li X, Jabrane W, Sörgel F. Assessment of pharmacokinetic drug-drug interactions in humans: in vivo probe substrates for drug metabolism and drug transport revisited. Annu Rev Pharmacol Toxicol. 2019;59(1):507-536.
Fuhr U, Jetter A, Kirchheiner J. Appropriate phenotyping procedures for drug metabolizing enzymes and transporters in humans and their simultaneous use in the “cocktail” approach. Clin Pharmacol Ther. 2007;81(2):270-283.
Bonate PL, Ahamadi M, Budha N, et al. Methods and strategies for assessing uncontrolled drug-drug interactions in population pharmacokinetic analyses: results from the International Society of Pharmacometrics (ISOP) Working Group. J Pharmacokinet Pharmacodyn. 2016;43(2):123-135.
Magliocco G, Thomas A, Desmeules J, Daali Y. Phenotyping of human CYP450 enzymes by endobiotics: current knowledge and methodological approaches. Clin Pharmacokinet. 2019;58(11):1373-1391.
Shebley M, Sandhu P, Emami Riedmaier A, et al. Physiologically based pharmacokinetic model qualification and reporting procedures for regulatory submissions: a consortium perspective. Clin Pharmacol Ther. 2018;104(1):88-110.
Min JS, Bae SK. Prediction of drug-drug interaction potential using physiologically based pharmacokinetic modeling. Arch Pharm Res. 2017;40(12):1356-1379.
Sager JE, Yu J, Ragueneau-Majlessi I, Isoherranen N. Physiologically based pharmacokinetic (PBPK) modeling and simulation approaches: a systematic review of published models, applications, and model verification. Drug Metab Dispos. 2015;43(11):1823-1837.
El-Khateeb E, Burkhill S, Murby S, Amirat H, Rostami-Hodjegan A, Ahmad A. Physiological-based pharmacokinetic modeling trends in pharmaceutical drug development over the last 20-years; in-depth analysis of applications, organizations, and platforms. Biopharm Drug Dispos. 2020.
Grimstein M, Yang Y, Zhang X, et al. Physiologically based pharmacokinetic modeling in regulatory science: an update from the U.S. Food and Drug Administration's Office of Clinical Pharmacology. J Pharm Sci. 2019;108(1):21-25.
Jones HM, Chen Y, Gibson C, et al. Physiologically based pharmacokinetic modeling in drug discovery and development: a pharmaceutical industry perspective. Clin Pharmacol Ther. 2015;97(3):247-262.
Lee J, Yang Y, Zhang X, et al. Usage of in vitro metabolism data for drug-drug interaction in physiologically based pharmacokinetic analysis submissions to the US Food and Drug Administration. J Clin Pharmacol. 2021;61(6):782-788.
Shinoda Y, Kimura M, Usami E, Asano H, Yoshimura T. Potential drug interaction between paclitaxel and clopidogrel. Biomed Rep. 2016;5(1):141-145.
Matsuo M, Ito H, Takemura Y, et al. Increased risk of paclitaxel-induced peripheral neuropathy in patients using clopidogrel: a retrospective pilot study. J Anesth. 2017;31(4):631-635.
Agergaard K, Mau-Sørensen M, Stage TB, et al. Clopidogrel-paclitaxel drug-drug interaction: a pharmacoepidemiologic study. Clin Pharmacol Ther. 2017;102(3):547-553.
Hennessy S, Leonard CE, Gagne JJ, et al. Pharmacoepidemiologic methods for studying the health effects of drug-drug interactions. Clin Pharmacol Ther. 2016;99(1):92-100.
Juurlink DN, Mamdani M, Kopp A, Laupacis A, Redelmeier DA. Drug-drug interactions among elderly patients hospitalized for drug toxicity. JAMA. 2003;289(13):1652-1658.
Hauta-Aho M, Tirkkonen T, Vahlberg T, Laine K. The effect of drug interactions on bleeding risk associated with warfarin therapy in hospitalized patients. Ann Med. 2009;41(8):619-628.
Bykov K, Schneeweiss S, Glynn RJ, Mittleman MA, Gagne JJ. A case-crossover-based screening approach to identifying clinically relevant drug-drug interactions in electronic healthcare data. Clin Pharmacol Ther. 2019;106(1):238-244.
Wang L, Shendre A, Chiang CW, et al. A pharmacovigilance study of pharmacokinetic drug interactions using a translational informatics discovery approach. Br J Clin Pharmacol. 2021. https://doi.org/10.1111/bcp.14762 Accessed March 15, 2021.
Tornio A, Neuvonen PJ, Niemi M, Backman JT. Role of gemfibrozil as an inhibitor of CYP2C8 and membrane transporters. Expert Opin Drug Metab Toxicol. 2017;13(1):83-95.
Ogilvie BW, Zhang D, Li W, et al. Glucuronidation converts gemfibrozil to a potent, metabolism-dependent inhibitor of CYP2C8: implications for drug-drug interactions. Drug Metab Dispos. 2006;34(1):191-197.
European Medicines Agency Committee for Proprietary Medicine Products. Annex II: scientific conclusions and grounds for withdrawal of the marketing authorisations presented by the EMEA. 2002. https://www.ema.europa.eu/en/documents/referral/cerivastatin-article-36-referral-annex-i-ii_en.pdf Accessed 15 March 2021.
Tamraz B, Fukushima H, Wolfe AR, et al. OATP1B1-related drug-drug and drug-gene interactions as potential risk factors for cerivastatin-induced rhabdomyolysis. Pharmacogenet Genomics. 2013;23(7):355-364.
Tornio A, Filppula AM, Kailari O, et al. Glucuronidation converts clopidogrel to a strong time-dependent inhibitor of CYP2C8: a phase II metabolite as a perpetrator of drug-drug interactions. Clin Pharmacol Ther. 2014;96(4):498-507.
Itkonen MK, Tornio A, Neuvonen M, Neuvonen PJ, Niemi M, Backman JT. Clopidogrel has no clinically meaningful effect on the pharmacokinetics of the organic anion transporting polypeptide 1B1 and cytochrome P450 3A4 substrate simvastatin. Drug Metab Dispos. 2015;43(11):1655-1660.
Kim SJ, Yoshikado T, Ieiri I, et al. Clarification of the mechanism of clopidogrel-mediated drug-drug interaction in a clinical cassette small-dose study and its prediction based on in vitro information. Drug Metab Dispos. 2016;44(10):1622-1632.
Itkonen MK, Tornio A, Neuvonen M, Neuvonen PJ, Niemi M, Backman JT. Clopidogrel markedly increases plasma concentrations of CYP2C8 substrate pioglitazone. Drug Metab Dispos. 2016;44(8):1364-1371.
Itkonen MK, Tornio A, Filppula AM, et al. Clopidogrel but not prasugrel significantly inhibits the CYP2C8-mediated metabolism of montelukast in humans. Clin Pharmacol Ther. 2018;104(3):495-504.
Itkonen MK, Tornio A, Neuvonen M, Neuvonen PJ, Niemi M, Backman JT. Clopidogrel and gemfibrozil strongly inhibit the CYP2C8-dependent formation of 3-hydroxydesloratadine and increase desloratadine exposure in humans. Drug Metab Dispos. 2019;47(4):377-385.
Itkonen MK, Tornio A, Lapatto-Reiniluoto O, et al. Clopidogrel increases dasabuvir exposure with or without ritonavir, and ritonavir inhibits the bioactivation of clopidogrel. Clin Pharmacol Ther. 2019;105(1):219-228.
Bergmann TK, Filppula AM, Launiainen T, Nielsen F, Backman J, Brosen K. Neurotoxicity and low paclitaxel clearance associated with concomitant clopidogrel therapy in a 60-year-old Caucasian woman with ovarian carcinoma. Br J Clin Pharmacol. 2016;81(2):313-315.
Axelsen LN, Poggesi I, Rasschaert F, Perez Ruixo JJ, Bruderer S. Clopidogrel, a CYP2C8 inhibitor, causes a clinically relevant increase in the systemic exposure to the active metabolite of selexipag in healthy subjects. Br J Clin Pharmacol. 2021;87(1):119-128.
Akagi Y, Iketaki A, Kimura H, et al. Risk of hypoglycemia associated with repaglinide combined with clopidogrel, a retrospective cohort study. J Pharm Health Care Sci. 2020;6(1):5.
Arya V, Zhao P, Reynolds KS, Mishra P, Younis IR. Utilizing PBPK modeling to evaluate the potential of a significant drug-drug interaction between clopidogrel and dasabuvir: a scientific perspective. Clin Pharmacol Ther. 2017;102(4):578-580.
Shebley M, Fu W, Badri P, Bow D, Fischer V. Physiologically based pharmacokinetic modeling suggests limited drug-drug interaction between clopidogrel and dasabuvir. Clin Pharmacol Ther. 2017;102(4):679-687.

Auteurs

Aleksi Tornio (A)

Integrative Physiology and Pharmacology, Institute of Biomedicine, University of Turku, Turku, Finland.
Unit of Clinical Pharmacology, Turku University Hospital, Turku, Finland.

Anne M Filppula (AM)

Pharmaceutical Sciences Laboratory, Faculty of Science and Engineering, Åbo Akademi University, Turku, Finland.
Individualized Drug Therapy Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Department of Clinical Pharmacology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.

Janne T Backman (JT)

Individualized Drug Therapy Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Department of Clinical Pharmacology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH