Biochemical and transcriptomic evaluation of a 3D lung organoid platform for pre-clinical testing of active

Michelle Brand1, Felix Ritzmann1,2, Kathrin Kattler3

  • 1Department of Internal Medicine V - Pulmonology, Allergology and Critical Care Medicine, Saarland University, 66421, Homburg, Germany.

Respiratory Research
|January 3, 2024
PubMed

Insights

This study introduces a 3D lung organoid model to test compounds for treating lung diseases by targeting epithelial senescence. Quercetin effectively reduced senescence markers without harming organoids, showing promise for preclinical drug screening.

Area of Science:

  • Pulmonology
  • Cell Biology
  • Toxicology

Background:

  • Chronic lung diseases like COPD and cystic fibrosis are incurable, with epithelial senescence contributing to their progression.
  • Lung epithelial cells represent a critical therapeutic target for managing these conditions.

Purpose of the Study:

  • To develop and validate a 3D airway lung organoid platform for preclinical testing of therapeutic substances.
  • To assess the platform's utility in evaluating senescence, toxicity, and inflammation under standardized conditions.

Main Methods:

  • A 3D airway lung organoid model was established in a 96-well format.
  • Senescence was induced using doxorubicin and quantified via senescence-associated beta-galactosidase activity.
  • Single-cell sequencing was employed to analyze cellular responses to treatments.

Main Results:

  • The organoid platform successfully modeled doxorubicin-induced epithelial senescence.
  • Quercetin demonstrated efficacy in antagonizing doxorubicin-induced senescence without compromising organoid integrity.
  • Single-cell sequencing revealed quercetin's ability to decrease senescence markers in specific cell subsets and identified doxorubicin-induced detoxification factor expression in goblet cells.

Conclusions:

  • The developed 3D lung organoid platform enables robust analysis of senescence-related processes in lung epithelial cells.
  • This platform facilitates the preclinical screening of diverse compounds, including natural products, for therapeutic potential.
  • The model aids in reducing animal testing by enabling pre-selection of promising drug candidates.

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