Drug compound screening in single and integrated multi-organoid body-on-a-chip systems

Aleksander Skardal1,2, Julio Aleman1, Steven Forsythe1

  • 1Wake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27101, United States of America.

Biofabrication
|February 27, 2020
PubMed

Insights

This study introduces a 3D organoid model using human cells to predict drug toxicity. This advanced in vitro system accurately identifies recalled medications, improving preclinical drug screening and reducing failures.

Area of Science:

  • Biomedical Engineering
  • Toxicology
  • Drug Development

Background:

  • Current preclinical models often fail to predict human drug toxicity, leading to costly recalls.
  • Inaccurate physiological representation in traditional models results in unanticipated adverse events in humans.

Purpose of the Study:

  • To develop and validate a 3D organoid technology for screening drug-induced toxicity.
  • To assess the predictive capability of human cell- and stem cell-derived organoids for identifying recalled pharmaceuticals.

Main Methods:

  • Utilized human primary and stem cell-derived 3D organoids, maintaining viability for over 28 days in vitro.
  • Screened a panel of Food and Drug Administration (FDA)-recalled drugs using various tissue organoid types.
  • Developed integrated multi-organoid systems (liver, cardiac, lung, etc.) to model inter-organ drug effects.

Main Results:

  • The 3D organoid system successfully identified toxicity for many recalled compounds.
  • Non-toxic compounds maintained organoid viability at clinically relevant doses.
  • Integrated multi-organoid systems demonstrated long-term viability and functional biomarker expression.

Conclusions:

  • 3D organoid technology offers a more physiologically relevant in vitro model for drug screening.
  • This platform has the potential to significantly reduce drug development costs and failure rates.
  • Multi-organoid 'body-on-a-chip' systems can model complex drug metabolism and effects across multiple tissues.

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