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Related Experiment Video

Updated: Jan 12, 2026

Microfluidic Chip for Axonal Injury Models Construction and Enabling Multi-Omics Analysis
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Microfluidic Chip for Axonal Injury Models Construction and Enabling Multi-Omics Analysis.

Bing Zhou1, Ruixuan Liu2, Jiaxin Sun3

  • 1Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University; Interdisciplinary Innovation Institute of Medicine and Engineering, Beihang University.

Journal of Visualized Experiments : Jove
|November 3, 2025
PubMed
Summary

Researchers developed a microfluidic platform to study neuronal metabolism after axonal injury. This system preserves in vivo metabolic features, aiding research into neurodegeneration and axon regeneration.

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Last Updated: Jan 12, 2026

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Area of Science:

  • Neuroscience
  • Cellular Metabolism
  • Biotechnology

Background:

  • Neurons require axonal homeostasis for regeneration and to prevent neurodegeneration.
  • Neuronal metabolism is compartmentalized and influenced by the microenvironment, complicating in vivo studies.
  • Understanding intrinsic metabolic mechanisms post-axonal injury is crucial.

Purpose of the Study:

  • To develop a microfluidic platform for studying neuronal metabolism after axonal injury.
  • To create a simplified in vitro model that preserves in vivo metabolic characteristics.
  • To enable high-throughput multi-omics analyses of neuronal metabolic remodeling.

Main Methods:

  • Developed a microfluidic platform with separate soma and axon chambers connected by microchannels.
  • Induced axonal injury via vacuum aspiration in the axon compartment.
  • Designed high-throughput chips for large-scale transcriptomic and metabolomic analyses.

Main Results:

  • The platform successfully cultured primary cortical neurons, preserving physiological glycolytic flux and mitochondrial respiration.
  • It provides a simplified model for investigating intrinsic metabolic changes following axonal injury.
  • The system allows for rapid assessment of metabolite and enzyme dynamics, enhancing multi-omics accuracy.

Conclusions:

  • The developed microfluidic platform effectively models neuronal metabolic responses to axonal injury in vitro.
  • This tool facilitates deeper investigation into axon regeneration and neurodegeneration mechanisms.
  • It offers a reproducible and accurate method for multi-omics studies in neuroscience.