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Nervous System-on-Chip: Innovative Microfluidic Platform to Compartmentalize hiPSC-Derived Neural Networks.

Rahman Sabahi-Kaviani1, Antigoni Gogolou2,3, Celine Souilhol2,3

  • 1Neuro-Nanoscale Engineering, Department of Mechanical Engineering/Microsystems and Institute of Complex Molecular Systems, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands.

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Summary
This summary is machine-generated.

Researchers developed a Nervous System-on-Chip (NoC) using microfluidic devices to culture human neurons. This platform enables organized neural network growth for studying neurodegenerative diseases like Parkinson's Disease.

Keywords:
biomaterialscortical neural networksdifferentiationenteric neural networkshuman induced pluripotent stem cells (hiPSCs)microtunnel devices (MDs)nanogroovesnervous system-on-chips (NoCs)

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Area of Science:

  • Neuroscience
  • Bioengineering
  • Microfluidics

Background:

  • Studying complex neural networks requires advanced in vitro models.
  • Human induced pluripotent stem cell (hiPSC)-derived neurons offer a promising source for neural modeling.
  • Current platforms often lack the precise control needed for compartmentalized neural cultures.

Purpose of the Study:

  • To develop a novel Nervous System-on-Chip (NoC) platform using microtunnel devices (MDs).
  • To enable compartmentalized culture of human neural networks derived from hiPSCs.
  • To create a microfluidic system for studying central and enteric nervous system interactions.

Main Methods:

  • Microfabrication of microtunnel devices (MDs) in radial and linear configurations.
  • Culture of hiPSC-derived cortical and enteric neurons within the MDs.
  • Assessment of axonal growth, neuronal viability, lineage marker expression, and synapse formation.

Main Results:

  • MDs successfully facilitated axonal growth while restricting soma and dendrite migration between compartments.
  • Organized neural networks were formed, demonstrating neuronal viability and key lineage marker expression.
  • Evidence of synapse formation was observed, indicating functional network development.

Conclusions:

  • MD-based NoC models provide an innovative microfluidic platform for studying human neural networks.
  • This platform supports the growth of distinct neural populations for investigating CNS-ENS interactions.
  • The NoC technology holds significant potential for neurodegenerative disease research and pre-clinical studies.