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Analysis and Imaging of Osteocytes
10:19

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Published on: November 29, 2024

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Analysis and Imaging of Osteocytes.

Mohammad Niroobakhsh1, Yixia Xie2, Sarah L Dallas2

  • 1School of Science and Engineering, University of Missouri-Kansas City; Department of Oral and Craniofacial Sciences, School of Dentistry, University of Missouri-Kansas City.

Journal of Visualized Experiments : Jove
|December 13, 2024
PubMed
Summary

Osteocytes respond to mechanical forces via mechanotransduction. This study uses confocal microscopy and computational fluid dynamics to model osteocyte networks, revealing how bone structure influences cellular stress responses.

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Area of Science:

  • Biomedical Engineering
  • Cell Biology
  • Biomechanics

Background:

  • Osteocytes, the primary cells within bone, are crucial for sensing mechanical stimuli like fluid flow shear stress (FFSS).
  • Mechanotransduction, the process by which cells convert mechanical signals into biochemical ones, is key to bone's adaptation to load.
  • Direct measurement of FFSS on osteocytes is challenging, necessitating advanced modeling techniques.

Purpose of the Study:

  • To elaborate on methods for developing 3D single osteocyte models from confocal microscope images of the Lacunar-Canalicular Network (LCN).
  • To perform Computational Fluid Dynamics (CFD) analysis on these models to evaluate shear stresses experienced by osteocytes.
  • To understand the relationship between LCN morphology and osteocyte mechanosensation.

Main Methods:

  • Mouse bones were sectioned and stained with Fluorescein isothiocyanate (FITC) dye to visualize the LCN.
  • High-resolution (100x) Z-stack confocal images were acquired and processed using MIMICS software to create 3D surface models of the LCN.
  • 3D volumetric fluid geometry was generated using 3-Matic software and imported into ANSYS for CFD analysis, simulating physiological loading and determining wall shear stresses.

Main Results:

  • 3D models of the LCN and osteocyte processes were successfully constructed from confocal images.
  • CFD analysis in ANSYS revealed the distribution of wall shear stresses on osteocyte membranes and dendritic processes under simulated physiological loading.
  • The study demonstrated that LCN morphology significantly impacts the shear stress values perceived by osteocytes.

Conclusions:

  • Confocal image-derived 3D models provide a valuable tool for analyzing shear stresses on osteocytes, overcoming limitations of direct measurement.
  • Understanding the interplay between LCN morphology and shear stress is critical for elucidating osteocyte mechanotransduction.
  • These detailed modeling methods lay the groundwork for future investigations into bone mechanobiology and mechanotransduction pathways.