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Gross Anatomy of the Lungs01:17

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Engineering Dynamic 3D Models of Lung.

Rachel Blomberg1, Rukshika S Hewawasam1, Predrag Šerbedžija1

  • 1Department of Bioengineering, University of Colorado, Denver | Anschutz Medical Campus, Aurora, CO, USA.

Advances in Experimental Medicine and Biology
|May 17, 2023
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Summary
This summary is machine-generated.

Researchers are developing advanced in vitro models to study lung parenchyma, the critical site for gas exchange and chronic lung diseases. These models integrate biochemical, structural, and mechanical factors for better lung biology research.

Keywords:
Alveolar epithelial cellsBiomaterialsBiomechanicsExtracellular matrixHydrogelsLung fibroblastsLung parenchymaLung-on-a-chipOrganoidsPrecision cut lung slices

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Area of Science:

  • Pulmonary Medicine
  • Biomedical Engineering
  • Tissue Engineering

Background:

  • The lung parenchyma is vital for gas exchange and implicated in chronic lung diseases.
  • Accurate in vitro models are needed to study lung biology in health and disease.
  • Modeling lung parenchyma requires integrating biochemical, structural, and mechanical factors.

Purpose of the Study:

  • To provide an overview of diverse in vitro model systems for lung parenchyma.
  • To highlight scientific advances enabled by these lung models.
  • To discuss the strengths, weaknesses, and future directions of engineered lung systems.

Main Methods:

  • Review of various in vitro lung parenchyma model systems.
  • Discussion of synthetic and naturally derived hydrogel materials.
  • Analysis of precision-cut lung slices, organoids, and lung-on-a-chip devices.

Main Results:

  • Various engineered systems recapitulate features of lung parenchyma.
  • These models have facilitated scientific advances in lung research.
  • Different models offer unique strengths for studying lung biology.

Conclusions:

  • In vitro lung parenchyma models are valuable tools for biomedical research.
  • Continued development of these engineered systems holds promise for future discoveries.
  • Integrating multiple biological and physical cues enhances model fidelity.