Monitoring and manipulating cellular crosstalk during kidney fibrosis inside a 3D in vitro co-culture

Bramasta Nugraha1,2,3,4, Manuel A Mohr1, Aaron Ponti1

  • 1Department of Biosystems Science and Engineering (D-BSSE), Eidgenössische Technische Hochschule (ETH) Zurich, Mattenstrasse 26, 4058, Basel, Switzerland.

Scientific Reports
|November 5, 2017
PubMed

Insights

A novel 3D co-culture kidney fibrosis model using dextran hydrogels and fluorescent reporters enables real-time monitoring of epithelial cell damage and myofibroblast differentiation, aiding therapeutic compound discovery.

Area of Science:

  • Pharmacology
  • Biomedical Engineering
  • Cell Biology

Background:

  • Understanding kidney fibrosis progression is crucial for developing effective therapeutic compounds.
  • Complex real-time, multi-dimensional analysis of diseased and healthy kidney tissue is often required.
  • Existing models may lack the throughput or complexity to fully capture disease dynamics.

Purpose of the Study:

  • To establish a high-throughput in vitro 3D co-culture model for kidney fibrosis.
  • To mimic the renal microenvironment and study epithelial/mesenchymal crosstalk.
  • To facilitate the discovery of compounds modulating this crosstalk.

Main Methods:

  • Development of a dextran hydrogel-based 3D co-culture system.
  • Incorporation of epithelial reporter cell lines with fluorescent biomarkers.
  • Toxin-mediated chemical injury to induce disease progression.
  • Image-based monitoring for detecting epithelial cell damage and myofibroblast differentiation.

Main Results:

  • The 3D co-culture system successfully mimicked key aspects of kidney fibrosis pathology.
  • Epithelial cell damage onset was robustly detected via image-based monitoring.
  • Injured epithelial cells induced myofibroblast differentiation in co-cultured fibroblasts.
  • The system demonstrated the epithelial/mesenchymal crosstalk central to fibrosis.

Conclusions:

  • The developed 3D co-culture system serves as a unique and effective disease model for kidney fibrosis.
  • This platform enables real-time visualization and analysis of pathophysiological changes.
  • It is suitable for screening novel therapeutic molecules targeting epithelial-mesenchymal interactions in kidney fibrosis.

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