A mathematical model of hiPSC cardiomyocytes electromechanics

Mohamadamin Forouzandehmehr1, Jussi T Koivumäki1, Jari Hyttinen1

  • 1Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.

Physiological Reports
|November 26, 2021
PubMed

Insights

We developed a novel computational model, hiPSC-CM-CE, for human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs). This model accurately simulates cardiac electrophysiology and contractility, aiding cardiotoxicity testing and personalized medicine.

Area of Science:

  • Cardiovascular Research
  • Computational Biology
  • Biomedical Engineering

Background:

  • Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) are crucial for cardiac research and drug testing.
  • Accurate modeling of hiPSC-CMs is needed to understand their electromechanical behavior.
  • Existing models may not fully capture the complex contractility of hiPSC-CMs.

Purpose of the Study:

  • To introduce a novel electromechanical computational model, hiPSC-CM-CE, for hiPSC-CMs.
  • To integrate a new passive force formulation with existing hiPSC-CM electrophysiology.
  • To validate the model's predictive capabilities against experimental data.

Main Methods:

  • Reparameterization of the contractile element (CE) model by Rice et al. (2008).
  • Integration of a new passive force formulation into the CE.
  • Incorporation of the modified CE into the hiPSC-CM electrophysiology model by Paci et al. (2020).
  • Validation against in vitro data for action potential, calcium transient, cell shortening, and tension.

Main Results:

  • The hiPSC-CM-CE model accurately simulated key action potential and calcium transient biomarkers within experimental ranges.
  • Simulated cell shortening, contraction-relaxation kinetics, and tension amplitude matched in vitro data.
  • The model correctly predicted inotropic effects and simulated drug responses (Verapamil, Bay-K 8644) and aftercontractions.

Conclusions:

  • The hiPSC-CM-CE model provides a validated platform for studying hiPSC-CM electromechanical function.
  • The model's passive force formulation enhances its ability to predict inter-scale effects.
  • Future applications include pharmacological trials, genetic mutation studies, and arrhythmia research.