Advanced In Vitro Models for Preclinical Drug Safety: Recent Progress and Prospects

Dileep G Nair1,2, Ralf Weiskirchen1

  • 1Institute of Molecular Pathobiochemistry, Experimental Gene Therapy and Clinical Chemistry (IFMPEGKC), University Hospital Aachen, D-52074 Aachen, Germany.

PubMed

Insights

Advanced organ-on-a-chip models offer a promising solution to predict drug-induced liver injury (DILI). These systems improve drug efficacy and safety, reducing costs and time in drug development.

Area of Science:

  • Biomedical Engineering
  • Pharmacology
  • Toxicology

Background:

  • Drug development is lengthy and costly, with drug-induced liver injury (DILI) posing a significant challenge.
  • Current preclinical models (animal and in vitro) poorly predict human DILI due to physiological differences.
  • This leads to high failure rates in clinical trials and increased development costs.

Purpose of the Study:

  • To review the significance, current status, and future prospects of advanced in vitro platforms for preclinical drug discovery.
  • To highlight the potential of organ-on-a-chip (OOC) models in addressing DILI prediction challenges.
  • To discuss how OOC technologies can accelerate drug approval while adhering to the 3Rs principles.

Main Methods:

  • Review of current literature on organ-on-a-chip technologies in drug development.
  • Focus on gut-liver-on-a-chip models as advanced in vitro systems.
  • Discussion of the application of these platforms in assessing drug efficacy and toxicity.

Main Results:

  • Organ-on-a-chip models, particularly gut-liver-on-a-chip systems, closely mimic human physiology.
  • These advanced models show potential for improved prediction of DILI compared to traditional methods.
  • Successful adaptation of OOC technology can enhance drug efficacy and minimize toxicity.

Conclusions:

  • Organ-on-a-chip models are crucial for improving the accuracy of DILI risk assessment in preclinical drug discovery.
  • These technologies offer a pathway to reduce drug development timelines and costs.
  • OOC platforms support the 3Rs principles (replacement, reduction, refinement) in animal testing.

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