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Recent advances in lung-on-a-chip models.

Isabella Francis1, Jesus Shrestha2, Keshav Raj Paudel3

  • 1School of Mechanical Engineering, University of Technology Sydney, Sydney, New South Wales 2007, Australia.

Drug Discovery Today
|June 20, 2022
PubMed
Summary
This summary is machine-generated.

Advanced lung-on-a-chip models offer a more accurate way to study respiratory diseases and test new drugs. These 3D platforms better mimic the human lung, improving research outcomes.

Keywords:
Lung-on-a-chipLungsOrgan-on-a-chipRespiratory diseasesRespiratory system

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Area of Science:

  • Biomedical Engineering
  • Respiratory Medicine
  • Drug Discovery

Background:

  • Traditional 2D cell cultures and animal models fail to accurately replicate in vivo lung conditions.
  • The global burden of respiratory diseases necessitates improved methods for therapeutic identification.
  • Understanding lung pathology and physiology requires more sophisticated research models.

Purpose of the Study:

  • To review the evolution of lung models from 2D to advanced 3D and lung-on-a-chip platforms.
  • To discuss the implementation and challenges associated with lung-on-a-chip technology.
  • To highlight the potential of these advanced models in respiratory disease research and drug development.

Main Methods:

  • Review of current literature on 2D, 3D, and lung-on-a-chip models.
  • Analysis of the advantages of lung-on-a-chip platforms in simulating lung microenvironment and function.
  • Discussion of recent advances and implementation strategies for lung-on-a-chip systems.

Main Results:

  • Lung-on-a-chip models provide a more accurate simulation of the in vivo lung microenvironment compared to traditional models.
  • These advanced platforms enhance the precision of drug safety and effectiveness assessments.
  • Significant progress has been made in lung-on-a-chip technology, despite facing implementation challenges.

Conclusions:

  • Lung-on-a-chip technology represents a significant advancement over 2D and 3D cell cultures for respiratory research.
  • These models offer improved accuracy for studying lung diseases and evaluating potential therapeutics.
  • The platform holds substantial promise for accelerating respiratory disease research and drug discovery pipelines.