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Kinetic Image Cytometry for Predicting Arrhythmias Using Human Stem Cell-Derived Cardiomyocytes

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Stem Cell-Derived Models in Toxicology

Abstract

Kinetic Image Cytometry™ (KIC™), in which living cells are cultured in multi-well dishes and imaged for electrophysiological transients (such as intracellular calcium or membrane potential) using automated digital microscopy/image analysis, represents an advance in the field of high content analysis. KIC methods, coupled with the use of human stem cell-derived cardiomyocytes (hSC-CMs), are potentially very useful for identifying proarrhythmia activity of test compounds, relevant to cardiosafety. In the present study, a panel of 40 compounds was tested with KIC to quantify the effects of the chemicals on the calcium transients associated with contraction in hSC-CMs, and the results compared to the effects of these compounds on the QT-interval from human electrocardiograms. The kinetics of the calcium transients quantified with KIC identified the chemicals that prolong (commonly associated with proarrhythmic activity) or shorten the QT interval with 100 % specificity and 94 % sensitivity. These data, along with data obtained in previous studies utilizing KIC and hSC-CMs, demonstrate that this assay platform represents the current “state-of-the-art” in vitro method for testing drug candidates for proarrhythmic tendencies.

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References

  1. Stockbridge N, Morganroth J, Shah RR, Garnett C (2013) Dealing with global safety issues: was the response to QT-liability of non-cardiac drugs well coordinated? Drug Saf 36:167–182

    Article  PubMed  Google Scholar 

  2. FDA (2005) S7B nonclinical evaluation of the potential for delayed ventricular repolarization (QT interval prolongation) by Human Pharmaceuticals. Guidance for Industry: U.S. Department of Health and Human Services, Food and Drug Administration

    Google Scholar 

  3. Magyar J, Rusznak Z, Harasztosi C, Kortvely A, Pacher P et al (2003) Differential effects of fluoxetine enantiomers in mammalian neural and cardiac tissues. Int J Mol Med 11:535–542

    CAS  PubMed  Google Scholar 

  4. Matsuoka S, Nawada T, Hisatome I, Miyamoto J, Hasegawa J et al (1991) Comparison of Ca2+ channel inhibitory effects of cibenzoline with verapamil on guinea-pig heart. Gen Pharmacol 22:87–91

    Article  CAS  PubMed  Google Scholar 

  5. Zahradnik I, Minarovic I, Zahradnikova A (2008) Inhibition of the cardiac L-type calcium channel current by antidepressant drugs. J Pharmacol Exp Ther 324:977–984

    Article  CAS  PubMed  Google Scholar 

  6. Cerignoli F, Charlot D, Whittaker R, Ingermanson R, Gehalot P et al (2012) High throughput measurement of Ca(2)(+) dynamics for drug risk assessment in human stem cell-derived cardiomyocytes by kinetic image cytometry. J Pharmacol Toxicol Methods 66:246–256

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Lu HR, Whittaker R, Price JH, Vega R, Pfeiffer ER et al (2015) High throughput measurement of Ca++ dynamics in human stem cell-derived cardiomyocytes by kinetic image cytometry: a cardiac risk assessment characterization using a large panel of cardioactive and inactive compounds. Toxicol Sci 148:503–516

    Article  CAS  PubMed  Google Scholar 

  8. Ma J, Guo L, Fiene SJ, Anson BD, Thomson JA et al (2011) High purity human-induced pluripotent stem cell-derived cardiomyocytes: electrophysiological properties of action potentials and ionic currents. Am J Physiol Heart Circ Physiol 301:H2006–H2017

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Peng S, Lacerda AE, Kirsch GE, Brown AM, Bruening-Wright A (2010) The action potential and comparative pharmacology of stem cell-derived human cardiomyocytes. J Pharmacol Toxicol Methods 61:277–286

    Article  CAS  PubMed  Google Scholar 

  10. Pfeiffer ER, Vega R, McDonough PM, Price JH, Whittaker R (2016) Specific prediction of clinical QT prolongation by kinetic image cytometry in human stem cell derived cardiomyocytes. J Pharmacol Toxicol Methods 81:263–273

    Google Scholar 

  11. Bers DM (2002) Cardiac excitation-contraction coupling. Nature 415:198–205

    Article  CAS  PubMed  Google Scholar 

  12. Bers DM (2008) Calcium cycling and signaling in cardiac myocytes. Annu Rev Physiol 70:23–49

    Article  CAS  PubMed  Google Scholar 

  13. McDonough PM, Agustin RM, Ingermanson RS, Loy PA, Buehrer BM et al (2009) Quantification of lipid droplets and associated proteins in cellular models of obesity via high-content/high-throughput microscopy and automated image analysis. Assay Drug Dev Technol 7:440–460

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Uesugi M, Ojima A, Taniguchi T, Miyamoto N, Sawada K (2014) Low-density plating is sufficient to induce cardiac hypertrophy and electrical remodeling in highly purified human iPS cell-derived cardiomyocytes. J Pharmacol Toxicol Methods 69:177–188

    Article  CAS  PubMed  Google Scholar 

  15. Gergs U, Bockler A, Ebelt H, Hauptmann S, Keller N et al (2013) Human 5-HT(4)receptor stimulation in atria of transgenic mice. Naunyn Schmiedebergs Arch Pharmacol 386:357–367

    Article  CAS  PubMed  Google Scholar 

  16. Christ T, Rozmaritsa N, Engel A, Berk E, Knaut M et al (2014) Arrhythmias, elicited by catecholamines and serotonin, vanish in human chronic atrial fibrillation. Proc Natl Acad Sci U S A 111:11193–11198

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Kaumann AJ, Levy FO (2006) 5-hydroxytryptamine receptors in the human cardiovascular system. Pharmacol Ther 111:674–706

    Article  CAS  PubMed  Google Scholar 

  18. Hansen RS, Diness TG, Christ T, Demnitz J, Ravens U et al (2006) Activation of human ether-a-go-go-related gene potassium channels by the diphenylurea 1,3-Bis-(2-hydroxy-5-trifluoromethyl-phenyl)-urea (NS1643). Mol Pharmacol 69:266–277

    CAS  PubMed  Google Scholar 

  19. Diness TG, Yeh YH, Qi XY, Chartier D, Tsuji Y et al (2008) Antiarrhythmic properties of a rapid delayed-rectifier current activator in rabbit models of acquired long QT syndrome. Cardiovasc Res 79:61–69

    Article  CAS  PubMed  Google Scholar 

  20. Szabo G, Farkas V, Grunnet M, Mohacsi A, Nanasi PP (2011) Enhanced repolarization capacity: new potential antiarrhythmic strategy based on HERG channel activation. Curr Med Chem 18:3607–3621

    Article  CAS  PubMed  Google Scholar 

  21. Guo J, Cheng YM, Lees-Miller JP, Perissinotti LL, Claydon TW et al (2015) NS1643 interacts around L529 of hERG to alter voltage sensor movement on the path to activation. Biophys J 108:1400–1413

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Perissinotti LL, Guo J, De Biase PM, Clancy CE, Duff HJ et al (2015) Kinetic model for NS1643 drug activation of WT and L529I variants of Kv11.1 (hERG1) potassium channel. Biophys J 108:1414–1424

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Vargas HM, Bass AS, Koerner J, Matis-Mitchell S, Pugsley MK et al (2015) Evaluation of drug-induced QT interval prolongation in animal and human studies: a literature review of concordance. Br J Pharmacol 172:4002–4011

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Morissette P, Nishida M, Trepakova E, Imredy J, Lagrutta A et al (2013) The anesthetized guinea pig: an effective early cardiovascular derisking and lead optimization model. J Pharmacol Toxicol Methods 68:137–149

    Article  CAS  PubMed  Google Scholar 

  25. Wallis RM (2010) Integrated risk assessment and predictive value to humans of non-clinical repolarization assays. Br J Pharmacol 159:115–121

    Article  CAS  PubMed  Google Scholar 

  26. Gintant G (2011) An evaluation of hERG current assay performance: translating preclinical safety studies to clinical QT prolongation. Pharmacol Ther 129:109–119

    Article  CAS  PubMed  Google Scholar 

  27. Sirenko O, Cromwell EF, Crittenden C, Wignall JA, Wright FA et al (2013) Assessment of beating parameters in human induced pluripotent stem cells enables quantitative in vitro screening for cardiotoxicity. Toxicol Appl Pharmacol 273:500–507

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Johannesen L, Vicente J, Mason JW, Sanabria C, Waite-Labott K et al (2014) Differentiating drug-induced multichannel block on the electrocardiogram: randomized study of dofetilide, quinidine, ranolazine, and verapamil. Clin Pharmacol Ther 96:549–558

    Article  CAS  PubMed  Google Scholar 

  29. Swinney DC, Anthony J (2011) How were new medicines discovered? Nat Rev Drug Discov 10:507–519

    Article  CAS  PubMed  Google Scholar 

  30. Wahlquist C, Jeong D, Rojas-Munoz A, Kho C, Lee A et al (2014) Inhibition of miR-25 improves cardiac contractility in the failing heart. Nature 508:531–535

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Wei K, Serpooshan V, Hurtado C, Diez-Cunado M, Zhao M et al (2015) Epicardial FSTL1 reconstitution regenerates the adult mammalian heart. Nature 525:479–485

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We would like to gratefully acknowledge Axiogenesis for contribution of the hES-CMs used in this study. Development of KIC instrumentation and methods and CyteSeer™ has been supported by several grants including the following: NIH/NHLBI FastTrack STTR R42HL086076 “Live cell and HCS assays to quantify production of cardiomyocytes from stem cells”; CIRM RT1-01143 “Optimization in the Identification, Selection and Induction of Maturation of Subtypes of Cardiomyocytes derived from Human Embryonic Stem Cells”; and NIH/NHLBI STTR R42HL112521 “Optogenetic Multiparametric Assay for HT Cardiotoxicity Testing.”

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Correspondence to Patrick M. McDonough .

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Pfeiffer, E.R., Whittaker, R., Vega, R., Cerignoli, F., McDonough, P.M., Price, J.H. (2017). Kinetic Image Cytometry for Predicting Arrhythmias Using Human Stem Cell-Derived Cardiomyocytes. In: Clements, M., Roquemore, L. (eds) Stem Cell-Derived Models in Toxicology. Methods in Pharmacology and Toxicology. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6661-5_8

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  • DOI: https://doi.org/10.1007/978-1-4939-6661-5_8

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-6659-2

  • Online ISBN: 978-1-4939-6661-5

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