An oxygen-permeable, stirrer-pump-integrated liver-heart microphysiological system enables time-resolved analysis in

Shinichiro Horiuchi1, Kiyoshi Oka2, Kenta Shinha3

  • 1Division of Pharmacology, National Institute of Health Sciences, Kawasaki, Kanagawa, 210-9501, Japan.

NAM Journal
|July 12, 2026
PubMed

Insights

This study developed a liver-heart co-culture system to predict metabolism-dependent drug toxicity. The new system accurately assessed terfenadine cardiotoxicity, showing improved preclinical safety evaluation potential.

Area of Science:

  • Toxicology
  • Drug Metabolism
  • Cardiovascular Research

Background:

  • Metabolism-dependent drug toxicity prediction is challenging.
  • Existing microphysiological systems (MPS) have limitations in hepatocyte function and setup complexity.
  • Terfenadine cardiotoxicity is often misclassified by cardiomyocyte-only assays.

Purpose of the Study:

  • To develop and validate a novel liver-heart co-culture system for predicting metabolism-dependent cardiotoxicity.
  • To evaluate the cardiotoxicity of terfenadine using this integrated system.
  • To assess the system's ability to capture pharmacokinetic-pharmacodynamic relationships.

Main Methods:

  • Co-culture of human induced pluripotent stem cell-derived engineered heart tissues (hiPSC-EHTs) and primary human hepatocytes (PHHs).
  • Utilized a modified, tubeless, stirrer-pump-integrated microfluidic device with an oxygen-permeable membrane.
  • Assessed terfenadine cardiotoxicity via functional monitoring and drug concentration analysis (LC-MS/MS).

Main Results:

  • Co-culturing with PHHs significantly attenuated terfenadine-induced cardiotoxicity in hiPSC-EHTs.
  • Increased formation of the less toxic metabolite fexofenadine was observed in the co-culture system.
  • Gene expression confirmed CYP3A4 activity, crucial for terfenadine detoxification.

Conclusions:

  • The developed liver-heart co-culture system enables accurate, time-resolved evaluation of metabolism-dependent cardiotoxicity.
  • This system offers improved translational predictability for drug safety assessments.
  • It serves as a scalable and simpler alternative to conventional perfusion-based MPS.

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