Skip to main content

In Vitro Cardiotoxicity Investigation Using High Content Analysis and Human Stem Cell-Derived Models

  • Protocol
  • First Online:
Stem Cell-Derived Models in Toxicology

Part of the book series: Methods in Pharmacology and Toxicology ((MIPT))

  • 1069 Accesses

Abstract

In the quest for more effective approaches to reduce the time, cost, and risks associated with development of new pharmaceuticals, High Content Analysis (HCA) is emerging as a valuable tool for in vitro predictive toxicity testing. Enabling rapid collection and analysis of information-rich cell images from thousands of samples a day, HCA offers high enough throughput for routine screening (High Content Screening, HCS) and mechanistic investigations to be performed at the early stages of discovery and preclinical development. By interrogating multiple endpoints simultaneously in the context of the same cells, candidate drugs can be grouped and prioritized according to the types and severity of cell effects they induce relative to reference compounds. At the same time, the signature drug response profiles captured by HCA provide valuable insights into mechanisms of toxicity. This chapter provides step-by-step protocols used for HCA cardiotoxicity testing of kinase inhibitors and other compounds of interest in oncology. Critical to the success of this approach is the selection and careful handling of a cell model that is amenable to high throughput HCA techniques while faithfully recapitulating human cardiomyocyte physiology in the dish with minimal batch-to-batch variability. Commercial human stem cell-derived cardiomyocytes (hSC-CM) provide a tractable and highly relevant model for this purpose. With robust quality-controlled hSC-CM cultures serving as a common test system, cardiotoxicity data obtained by HCA has the potential to be integrated with data from complementary in vitro tests—particularly those assessing electrophysiological effects—to provide more comprehensive evaluation and improved prediction of clinical responses.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Protocol
USD 49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 139.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Segall MD, Barber C (2014) Addressing toxicity risk when designing and selecting compounds in early drug discovery. Drug Discov Today. doi:10.1016/j.drudis.2014.01.006

    Google Scholar 

  2. O’Brien PJ (2014) High-content analysis in toxicology: screening substances for human toxicity potential, elucidating subcellular mechanisms and in vivo use as translation safety biomarkers. Basic Clin Pharmacol Toxicol 115:4–17. doi:10.1111/bcpt.12227

    Article  PubMed  Google Scholar 

  3. GE Healthcare Application Note 2916473AA (2016) Assessing cardiac activity with high-content analysis: quantitating dynamic calcium flux and contractility with Cytiva Plus Cardiomyocytes and IN Cell Analyzer. https://www.gelifesciences.com/gehcls_images/GELS/Related%20Content/Files/1444842538846/litdoc29164723_20151014190842.pdf. Accessed 20 July 2016

  4. Pointon A, Abi-Gerges N, Cross MJ, Sidaway JE (2013) Phenotypic profiling of structural cardiotoxins in vitro reveals dependency on multiple mechanisms of toxicity. Toxicol Sci 132(2):317–326. doi:10.1093/toxsci/kft005

    Article  CAS  PubMed  Google Scholar 

  5. Laverty HG et al (2011) How can we improve our understanding of cardiovascular safety liabilities to develop safer medicines? Br J Pharmacol 163(4):675–693

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Redfern WS et al (2010) Impact and frequency of different toxicities throughout the pharmaceutical life cycle. The Toxicologist 114:232 (abstract 1081)

    Google Scholar 

  7. Vishal BS et al (2016) WITHDRAWN—a resource for withdrawn and discontinued drugs. Nucleic Acids Res 44:D1080–D1086

    Article  Google Scholar 

  8. Roquemore L (2016) Improving predictivity. Innov Pharm Technol 52:25–29

    Google Scholar 

  9. Chi KR (2013) Revolution dawning in cardiotoxicity testing. Nat Rev Drug Discov 12:565–567

    Article  CAS  PubMed  Google Scholar 

  10. ICH Expert Working Group (2005) ICH harmonized tripartite guideline: the non-clinical evaluation of the potential for delayed ventricular repolarization (QT interval prolongation) by human pharmaceuticals S7B. Available via ICH: http://www.ich.org/fileadmin/Public_Web_Site/ICH_Products/Guidelines/Safety/S7B/Step4/S7B_Guideline.pdf. Accessed 20 July 2016

  11. Force T, Krause DS, Van Etten RA (2007) Molecular mechanisms of cardiotoxicity of tyrosine kinase inhibition. Nat Rev Cancer 7(5):332–344. doi:10.1038/nrc2106

    Article  CAS  PubMed  Google Scholar 

  12. Mellor HR, Bell AR, Valentin J-P et al (2011) Cardiotoxicity associated with targeting kinase pathways. Toxicol Sci 120(1):14–32. doi:10.1093/toxsci/kfq378

    Article  CAS  PubMed  Google Scholar 

  13. Orphanos GS, Ioannidis GN, Ardavanis AG (2009) Cardiotoxicity induced by tyrosine kinase inhibitors. Acta Oncol 48(7):964–70

    Article  CAS  PubMed  Google Scholar 

  14. Cheng H, Force T (2010) Why do kinase inhibitors cause cardiotoxicity and what can be done about it? Prog Cardiovasc Dis 53(2):114–120

    Article  CAS  PubMed  Google Scholar 

  15. Gupta R, Maitland ML (2011) Sunitinib, hypertension and heart failure: a model for kinase inhibitor-mediated cardiotoxicity. Curr Hypertens Rep 13(6):430–435

    Article  CAS  PubMed  Google Scholar 

  16. Lemieux H, Hoppel CL (2009) Mitochondria in the human heart. J Bioenerg Biomembr 41:99–106

    Article  CAS  PubMed  Google Scholar 

  17. Young JD (2013) Metabolic flux rewiring in mammalian cell culture. Curr Opin Biotechnol 24(6). doi:10.1016/j.copbio.2013.04.016

  18. Marroquin LD, Hynes J, Dykens JA et al (2007) Circumventing the Crabtree effect: replacing media glucose with galactose increases susceptibility of HepG2 cells to mitochondrial toxicants. Toxicol Sci 97(2):153–161

    Article  Google Scholar 

  19. Will Y, Dykens JA, Nadanaciva S et al (2008) Effect of the multitargeted tyrosine kinase inhibitors imatinib, dasatinib, sunitinib and sorafenib on mitochondrial function in isolated rat heart mitochondria and H9c2 cells. Toxicol Sci 106(1):153–161

    Article  CAS  PubMed  Google Scholar 

  20. Rana P, Anson B, Engle S et al (2012) Characterization of human-induced pluripotent stem cell-derived cardiomyocytes: bioenergetics and utilization in safety screening. Toxicol Sci 130(1):117–131

    Article  CAS  PubMed  Google Scholar 

  21. Rosato RR, Almenara JA, Grant S (2003) The histone deacetylase inhibitor MS-275 promotes differentiation or apoptosis in human leukemia cells through a process regulated by generation of reactive oxygen species and induction of p21CIP1/WAF1. Cancer Res 63(13):3637–3645

    CAS  PubMed  Google Scholar 

  22. Kerkela R et al (2006) Cardiotoxicity of the cancer therapeutic agent imatinib mesylate. Nat Med 12:908–916

    Article  PubMed  Google Scholar 

  23. Omar HR (2012) Amiodarone-induced T-U fusion. Am J Emerg Med 30(9):2081.e1-e2

    Google Scholar 

  24. ClinicalTrials.gov (2012) Safety and tolerability study of TAK-165 in subjects with tumors expressing HER-2. https://clinicaltrials.gov/ct2/show/NCT00034281?term=TAK165&rank=1. Accessed 22 July 2016

Download references

Disclaimer

GE Healthcare Cytiva: In Cell Analyzer products are for research use only and not for diagnostic or therapeutic use.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Liz Roquemore .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Science+Business Media New York

About this protocol

Cite this protocol

Roquemore, L., Kauss, M.A., Hather, C., Thomas, N., Uppal, H. (2017). In Vitro Cardiotoxicity Investigation Using High Content Analysis and Human Stem Cell-Derived Models. 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_13

Download citation

  • DOI: https://doi.org/10.1007/978-1-4939-6661-5_13

  • Published:

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-6659-2

  • Online ISBN: 978-1-4939-6661-5

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics