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The effect of increasing amitriptyline doses on cardiomyocytes’ electrophysiology - simulation study

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Overdoses of tricyclic antidepressants may lead to arrhythmia. The aim of the study was to simulate the effect of increasing concentrations of amitriptyline (AMI) and its metabolite, nortriptyline, on the action potential of human ventricular cell. Methods: Simulations were performed in Cardiac Safety Simulator platform with the use of the O’Hara-Rudy model. Input data included literature-derived, drug-specific IC50 values for ICa(L), IKr, and INa currents. Individual concentrations of AMI and nortriptyline were simulated in Simcyp. Nine single doses (mg) were tested: 5, 10, 50, 100, 300, 500, 1000, 5000, and 10,000. Results: The values of simulated endpoints (APD50, APD90, triangulation, and APD90) increase with drug concentrations. APD90 was statistically significant for doses up from 1000 mg. EADs were observed after administration of 10,000-mg AMI. Conclusions: The consequences of various doses of AMI on the single cardiac myocytes were simulated in our study. Repolarization abnormalities were not expected for the therapeutic doses. EADs may be observed for very high doses of AMI.
Słowa kluczowe
Rocznik
Strony
33--38
Opis fizyczny
Bibliogr. 22 poz., rys., tab.
Twórcy
autor
  • Unit of Pharmacoepidemiology and Pharmacoeconomics, Department of Social Pharmacy, Jagiellonian University Medical College, Medyczna 9 Str. Cracow 30-688, Poland
autor
  • Department of Forensic Medicine, Aarhus University, Aarhus, Denmark
autor
  • Unit of Pharmacoepidemiology and Pharmacoeconomics, Department of Social Pharmacy, Jagiellonian University Medical College, Krakow, Poland
Bibliografia
  • 1. Bromet E, Andrade LH, Hwang I, Sampson NA, Alonso J, de Girolamo G, et al. Cross-national epidemiology of DSM-IV major depressive episode. BMC Medicine 2011;9:90.
  • 2. Bauer M, Pfennig A, Severus E, Whybrow PC, Angst J, Moller HJ. World Federation of Societies of Biological Psychiatry (WFSBP) guidelines for biological treatment of unipolar depressive disorders, Part 1: Update 2013 on the acute and continuation treatment of unipolar depressive disorders. World J Biol Psychiatry 2013;14:334–85.
  • 3. Thanacoody HK, Simon HL. Tricyclic antidepressant poisoning. Toxicol Rev 2005;24:205–14.
  • 4. Cleare A, Pariante CM, Young AH, Anderson IM, Christmas D, Cowen PJ, et al. Evidence-based guidelines for treating depressive disorders with antidepressants: a revision of the 2008 British Association for Psychopharmacology guidelines. J Psychopharmacol 2015;29:459–525.
  • 5. Ansel GM, Coyne K, Arnold S, Nelson SD. Mechanisms of ventricular arrhythmia during amitriptyline toxicity. J Cardiovasc Pharmacol 1993;22:798–803.
  • 6. Glassman AH, Bigger Jr JT. Antipsychotic drugs: prolonged QTc interval, torsade de pointes, and sudden death. Am J Psychiatr 2001;158:1774–82.
  • 7. Glinka A, Polak S. The effects of six antipsychotic agents on QTc – An attempt to mimic clinical trial through simulation including variability in the population. Comput Biol Med 2014;47:20–6.
  • 8. O’Hara T, Virag L, Varro A, Rudy Y. Simulation of the undiseased human cardiac ventricular action potential: model formulation and experimental validation. PLoS Computat Biol 2011;7:e1002061.
  • 9. Guo L, Guthrie H. Automated electrophysiology in the preclinical evaluation of drugs for potential QT prolongation. J Pharmacol Toxicol Methods 2005;52:123–35.
  • 10. Harmer AR, Abi-Gerges N, Woods EA, Lawrance CL, Small BG, Small BG, et al. Optimisation and validation of a mediumthroughput electrophysiology-based hNav1.5 assay using IonWorks™. J Pharmacol Toxicol Methods 2008;57:30–41.
  • 11. Park KS, Kong ID, Park KC, Lee JW. Fluoxetine inhibits L-type Ca2and transient outward Kcurrents in rat ventricular myocytes. Yonsei Med J 1999;40:144–51.
  • 12. Huang XP, Mangano T, Hufeisen S, Setola V, Roth BL. Identification of human Ether-a-go-go related gene modulators by three screening platforms in an academic drug-discovery setting. ASSAY Drug Dev Technol 2010;8:727–42.
  • 13. Polak S, Wiśniowska B, Ahamadi M, Mendyk A. Prediction of the hERG potassium channel inhibition potential with use of artificial neural networks. Appl Soft Comput 2011;11:2611–7.
  • 14. Jamei M, Marciniak S, Edwards D, Wragg K, Feng K, Barnett A, et al. The Simcyp population based simulator: architecture, implementation, and quality assurance. In Silico Pharmacol 2013;1:9.
  • 15. Jornil J, Jensen KG, Larsen F, Linnet K. Risk assessment of accidental nortriptyline poisoning: the importance of cytochrome P450 for nortriptyline elimination investigated using a population-based pharmacokinetic simulator. Eur J Pharm Sci 2011;44:265–72.
  • 16. Fijorek K, Patel N, Klima Ł, Stolarz-Skrzypek K, Kawecka-Jaszcz K, Polak S. Age and gender dependent heart rate circadian model development and performance verification on the proarrhythmic drug case study. Theor Biol Med Modell 2013;10:7.
  • 17. Weiss JN, Garfinkel A, Karagueuzian HS, Chen PS, Qu Z. Early afterdepolarizations and cardiac arrhythmias. Heart Rhythm 2010;7:1891–9.
  • 18. Castro VM, Clements CC, Murphy SN, Gainer VS, Fava M, Weilburg JB, et al. QT interval and antidepressant use: a cross sectional study of electronic health records. Br Med J 2013;346:f288.
  • 19. Jeon SH, Jaekal J, Lee SH, Choi BH, Kim KS, Jeong HS, et al. Effects of nortriptyline on QT prolongation: a safety pharmacology study. Hum Exp Toxicol 2011;30:1649–56.
  • 20. Davison ET. Amitriptyline-induced torsade de pointes. Successful therapy with atrial pacing. J Electrocardiol 1985;18:299–301.
  • 21. Guloğlu C, Orak M, Ustundağ M, Altunci YA. Analysis of amitriptyline overdose in emergency medicine. Emerg Med J 2011;28:296–9.
  • 22. Volders PGA, Vos MA, Szabo B, Sipido KR, de Groot SH, Gorgels AP, et al. Progress in the understanding of cardiac early afterdepolarizations and torsades de pointes: time to revise current concepts. Cardiovasc Res 2000;46:376–92.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-81be21c2-dcf0-4f33-bb79-e176b65e1290
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