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Autologous gradient formation under differential interstitial fluid flow environments.

Caleb Stine1, Jennifer Munson1

  • 1Fralin Biomedical Research Institute, Virginia Tech Biomedical Engineering and Mechanics.

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|March 20, 2025
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Summary
This summary is machine-generated.

Interstitial fluid flow magnitude significantly impacts glioma cell invasion by influencing CXCL12 gradient formation. Understanding these conditions aids in developing targeted brain tumor therapies.

Keywords:
CXCL12autologouschemotaxiscomputationalgliomagradientinterstitial flowmigration

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Area of Science:

  • Neuroscience
  • Biophysics
  • Computational Biology

Background:

  • Fluid flow and chemokine gradients are crucial for cell migration in both normal brain function and disease.
  • Tumor cell invasion, particularly glioma, leads to brain tumor recurrence.
  • Autologous chemotaxis, driven by interstitial fluid flow (IFF), facilitates cell invasion by creating chemokine gradients.

Purpose of the Study:

  • To computationally model the formation of CXCL12 gradients around tumor cells.
  • To identify conditions influencing pericellular gradient development for glioma invasion.

Main Methods:

  • Utilized finite element analysis with COMSOL software.
  • Employed coupled convection-diffusion/mass transport equations.
  • Investigated parametric effects on gradient formation.

Main Results:

  • Interstitial fluid flow velocity (IFF magnitude) is the primary factor affecting gradient formation.
  • Multidirectional flow results in gradient formation aligned with the resultant flow direction.
  • Treatment modalities and flow patterns exhibit spatiotemporal effects on gradients.
  • Exogenous chemokine concentrations can override autologous gradients based on proximity.
  • A minimum distance from the tumor border is necessary for single-cell gradient establishment.
  • Cell morphology critically influences gradient development.

Conclusions:

  • IFF magnitude is the dominant factor in CXCL12 gradient formation around glioma cells.
  • Understanding these flow dynamics and cellular interactions is key to predicting and potentially inhibiting brain tumor invasion.