High Throughput Measurement of Ca++ Dynamics in Human Stem Cell-Derived Cardiomyocytes by Kinetic Image Cytometery: A

Hua Rong Lu1, Ross Whittaker2, Jeffrey H Price2

  • 1*Global Safety Pharmacology, Preclinical Development & Safety, Discovery Sciences, Janssen Pharmaceutical NV, B2340 Beerse, Belgium; hlu@its.jnj.com.

Insights

Human induced pluripotent stem cell-derived cardiomyocytes (hiPS-CMs) and the Kinetic Image Cytometer (KIC) system effectively predict drug-induced cardiac risks. This approach aids early identification of compounds with arrhythmogenic liabilities in drug discovery.

Area of Science:

  • Cardiovascular pharmacology
  • Stem cell biology
  • Drug safety assessment

Background:

  • Human induced pluripotent stem cell-derived cardiomyocytes (hiPS-CMs) offer a promising in vitro model for cardiac safety evaluation.
  • Early identification of cardiotoxic drug candidates is crucial in the drug discovery process to mitigate risks.

Purpose of the Study:

  • To evaluate the Kinetic Image Cytometer (KIC) system's capability in predicting adverse compound effects using hiPS-CMs.
  • To assess the KIC system's utility in detecting drug-induced changes in cardiomyocyte function and predicting arrhythmogenic liabilities.

Main Methods:

  • Utilized hiPS-CMs and a library of 53 compounds, including known cardioactive agents and negative controls.
  • Employed the KIC system for high-throughput analysis of intracellular calcium transients in hiPS-CMs.
  • Examined drug-induced alterations in calcium transient dynamics, including duration and beat rate, as indicators of compound effects.

Main Results:

  • The KIC system accurately detected drug-induced changes in Ca(2+) transient dynamics in hiPS-CMs.
  • The study demonstrated the KIC's ability to assess compound effects across multiple ion channel types (MITs) and calcium handling pathways.
  • Results from this blinded study suggest a strong correlation between observed calcium transient changes and potential arrhythmogenic liabilities.

Conclusions:

  • The KIC system, in conjunction with hiPS-CMs, shows significant potential for predicting drug-induced arrhythmogenic liabilities.
  • This approach can serve as an effective phenotypic screen for early de-risking in the drug discovery pipeline.
  • Utilizing hiPS-CMs and KIC facilitates a more accurate and timely assessment of cardiac safety profiles for novel compounds.

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