Literature DB >> 25011566

Synchrotron X-ray phase nano-tomography-based analysis of the lacunar-canalicular network morphology and its relation to the strains experienced by osteocytes in situ as predicted by case-specific finite element analysis.

Peter Varga1, Bernhard Hesse, Max Langer, Susanne Schrof, Nils Männicke, Heikki Suhonen, Alexandra Pacureanu, Dieter Pahr, Françoise Peyrin, Kay Raum.   

Abstract

Osteocytes are hypothesized to regulate bone remodeling guided by both biological and mechanical stimuli. Morphology of the lacunar-canalicular network of osteocytes has been hypothesized to be strongly related to the level of mechanical loading and to various bone diseases. Finite element modeling could help to better understand the mechanosensation process by predicting the physiological strain environment. The aims of this study were to (i) quantify the lacunar-canalicular morphology in the cortex of the human femur; (ii) predict the in situ local deformations around and in osteocytes by means of case-specific finite element models; and (iii) investigate the potential relationship between morphology and deformations. Human femoral cortical bone samples were imaged using synchrotron X-ray phase nano-tomography with 50 nm voxel size. Rectangular volumes of interest were selected to contain single osteocyte lacunae and the surrounding matrix. Lacunar-canalicular morphology was quantified and the cell geometry was artificially reconstructed based on a priori assumptions. Finite element models of the volumes of interest were generated, containing the extracellular matrix, osteocyte and peri-cellular matrix, and subjected to uniaxial compression. The morphological analysis revealed that canalicular number was dictated by lacunar size, that the spacing of canaliculi fell within a narrow range, suggesting that these pores are well distributed throughout the bone matrix and indicated the trend that lacunae at the outer osteon boundary were less elongated than others. No apparent relationship was found between the morphological parameters and the predicted strains. The globally applied strain was amplified locally by factors up to 10 and up to 70 in the extracellular matrix and the in cells, respectively. Cell deformations were localized mainly at the body-dendrite junctions, with magnitudes reaching the in vitro stimulatory threshold reported for osteocytes.

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Year:  2014        PMID: 25011566     DOI: 10.1007/s10237-014-0601-9

Source DB:  PubMed          Journal:  Biomech Model Mechanobiol        ISSN: 1617-7940


  17 in total

Review 1.  3D X-ray ultra-microscopy of bone tissue.

Authors:  M Langer; F Peyrin
Journal:  Osteoporos Int       Date:  2015-09-14       Impact factor: 4.507

2.  Mechanical regulation of bone formation and resorption around implants in a mouse model of osteopenic bone.

Authors:  Zihui Li; Duncan Betts; Gisela Kuhn; Michael Schirmer; Ralph Müller; Davide Ruffoni
Journal:  J R Soc Interface       Date:  2019-03-29       Impact factor: 4.118

Review 3.  Micro- and nano-CT for the study of bone ultrastructure.

Authors:  Françoise Peyrin; Pei Dong; Alexandra Pacureanu; Max Langer
Journal:  Curr Osteoporos Rep       Date:  2014-12       Impact factor: 5.096

Review 4.  Techniques to assess bone ultrastructure organization: orientation and arrangement of mineralized collagen fibrils.

Authors:  Marios Georgiadis; Ralph Müller; Philipp Schneider
Journal:  J R Soc Interface       Date:  2016-06       Impact factor: 4.118

5.  Structural role of osteocyte lacunae on mechanical properties of bone matrix: A cohesive finite element study.

Authors:  Wen Sang; Yihan Li; Jane Guignon; X Sherry Liu; Ani Ural
Journal:  J Mech Behav Biomed Mater       Date:  2021-10-28

Review 6.  In silico bone mechanobiology: modeling a multifaceted biological system.

Authors:  Mario Giorgi; Stefaan W Verbruggen; Damien Lacroix
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2016-09-07

7.  Lacunar-canalicular network in femoral cortical bone is reduced in aged women and is predominantly due to a loss of canalicular porosity.

Authors:  A M Ashique; L S Hart; C D L Thomas; J G Clement; P Pivonka; Y Carter; D D Mousseau; D M L Cooper
Journal:  Bone Rep       Date:  2017-06-28

8.  Spatial heterogeneity in the canalicular density of the osteocyte network in human osteons.

Authors:  Felix Repp; Philip Kollmannsberger; Andreas Roschger; Michael Kerschnitzki; Andrea Berzlanovich; Gerlinde M Gruber; Paul Roschger; Wolfgang Wagermaier; Richard Weinkamer
Journal:  Bone Rep       Date:  2017-03-15

9.  Ultrastructure Organization of Human Trabeculae Assessed by 3D sSAXS and Relation to Bone Microarchitecture.

Authors:  Marios Georgiadis; Manuel Guizar-Sicairos; Oliver Gschwend; Peter Hangartner; Oliver Bunk; Ralph Müller; Philipp Schneider
Journal:  PLoS One       Date:  2016-08-22       Impact factor: 3.240

10.  Computational Investigation on the Biomechanical Responses of the Osteocytes to the Compressive Stimulus: A Poroelastic Model.

Authors:  Liping Wang; Jianghui Dong; Cory J Xian
Journal:  Biomed Res Int       Date:  2018-01-18       Impact factor: 3.411

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