Evidence map›Paper›PMID 39671327›Full record

ArticleJournal of visualized experiments : JoVE2024

Analysis and Imaging of Osteocytes.

Mohammad Niroobakhsh, Yixia Xie, Sarah L Dallas, David Moore, Mark L Johnson, Thiagarajan Ganesh

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mohammad NiroobakhshSchool of Science and Engineering, University of Missouri-Kansas City; Department of Oral and Craniofacial Sciences, School of Dentistry, University of Missouri-Kansas City.
Yixia XieDepartment of Oral and Craniofacial Sciences, School of Dentistry, University of Missouri-Kansas City.
Sarah L DallasDepartment of Oral and Craniofacial Sciences, School of Dentistry, University of Missouri-Kansas City.
David MooreDepartment of Oral and Craniofacial Sciences, School of Dentistry, University of Missouri-Kansas City.
Mark L JohnsonDepartment of Oral and Craniofacial Sciences, School of Dentistry, University of Missouri-Kansas City.
Thiagarajan GaneshDepartment of Oral and Craniofacial Sciences, School of Dentistry, University of Missouri-Kansas City; ganesht@umkc.edu.

Funding

Transgenic and Mechanical Loading CoreP01AG039355 · NIA · UNIVERSITY OF MISSOURI KANSAS CITY · PI BONEWALD, LYNDA F · 2012 to 2024
$19.3M
Dynamics of Bone ECM Assembly and ResorptionR01AR083438 · NIAMS · UNIVERSITY OF MISSOURI KANSAS CITY · PI SARAH L DALLAS · 2024 to 2026
$1.4M
Leica TCS Sp8 MP Multiphoton MicroscopeS10OD021665 · OD · UNIVERSITY OF MISSOURI KANSAS CITY · PI DALLAS, SARAH L · 2016 to 2016
$600k
Leica Stellaris 8 Confocal Microscope SystemS10OD032373 · OD · UNIVERSITY OF MISSOURI KANSAS CITY · PI DALLAS, SARAH L · 2022 to 2022
$599k
Aging Effects on Mechanoregulation of Osteocytes using Multiscale MultiphysicsR15AG080524 · NIA · UNIVERSITY OF MISSOURI KANSAS CITY · PI GANESH, THIAGARAJAN · 2024 to 2024
$456k
Zeiss LSM 710 Confocal Microscopy System for Imaging of Mineralized TissuesS10RR027668 · NCRR · UNIVERSITY OF MISSOURI KANSAS CITY · PI DALLAS, SARAH L · 2011 to 2011
$446k
Osteocytes as Dynamic CellsR21AR054449 · NIAMS · UNIVERSITY OF MISSOURI KANSAS CITY · PI DALLAS, SARAH L · 2007 to 2008
$340k
NCRR NIH HHS S10 RR027668NIAMS NIH HHS R01 AR083438NIAMS NIH HHS R21 AR054449NIA NIH HHS P01 AG039355NIA NIH HHS R15 AG080524NIH HHS S10 OD021665NIH HHS S10 OD032373
6 · The paper itself

Abstract

Osteocytes are the bone cells that are thought to respond to mechanical strains and fluid flow shear stress (FFSS) by activating various biological pathways in a process known as mechanotransduction. Confocal image-derived models of osteocyte networks are a valuable tool for conducting Computational Fluid Dynamics (CFD) analysis to evaluate shear stresses on the osteocyte membrane, which cannot be determined by direct measurement. Computational modeling using these high-resolution images of the microstructural architecture of bone was used to numerically simulate the mechanical loading exerted on bone and understand the load-induced stimulation of osteocytes. This study elaborates on the methods to develop 3D single osteocyte models using confocal microscope images of the Lacunar-Canalicular Network (LCN) to perform CFD analysis utilizing various computational modeling software. Prior to confocal microscopy, the mouse bones are sectioned and stained with Fluorescein isothiocyanate (FITC) dye to label the LCN. At 100x resolution, Z-stack images are collected using a confocal microscope and imported into MIMICS software (3D image-based processing software) to construct a surface model of the LCN and osteocyte-dendritic processes. These surfaces are then subtracted using a Boolean operation in 3-Matic software (3D data optimization software) to model the lacunar fluidic space around the osteocyte cell body and canalicular space around the dendrites containing lacunocanalicular fluid. 3D volumetric fluid geometry is imported into ANSYS software (simulation software) for CFD analysis. ANSYS CFX (CFD software) is used to apply physiological loading on the bone as fluid pressure, and the wall shear stresses on the osteocytes and dendritic processes are determined. The morphology of the LCN affects the shear stress values sensed by the osteocyte cell membrane and cell processes. Therefore, the details of how confocal image-based models are developed can be valuable in understanding osteocyte mechanosensation and can lay the groundwork for future studies in this area.

Indexed as

Microscopy, ConfocalOsteocytesAnimalsHydrodynamicsImaging, Three-DimensionalMice

Identifiers

PMID39671327
PMCPMC12175408

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.