Literature DB >> 17052722

Characterization of articular cartilage by combining microscopic analysis with a fibril-reinforced finite-element model.

Petro Julkunen1, Panu Kiviranta, Wouter Wilson, Jukka S Jurvelin, Rami K Korhonen.   

Abstract

Load-bearing characteristics of articular cartilage are impaired during tissue degeneration. Quantitative microscopy enables in vitro investigation of cartilage structure but determination of tissue functional properties necessitates experimental mechanical testing. The fibril-reinforced poroviscoelastic (FRPVE) model has been used successfully for estimation of cartilage mechanical properties. The model includes realistic collagen network architecture, as shown by microscopic imaging techniques. The aim of the present study was to investigate the relationships between the cartilage proteoglycan (PG) and collagen content as assessed by quantitative microscopic findings, and model-based mechanical parameters of the tissue. Site-specific variation of the collagen network moduli, PG matrix modulus and permeability was analyzed. Cylindrical cartilage samples (n=22) were harvested from various sites of the bovine knee and shoulder joints. Collagen orientation, as quantitated by polarized light microscopy, was incorporated into the finite-element model. Stepwise stress-relaxation experiments in unconfined compression were conducted for the samples, and sample-specific models were fitted to the experimental data in order to determine values of the model parameters. For comparison, Fourier transform infrared imaging and digital densitometry were used for the determination of collagen and PG content in the same samples, respectively. The initial and strain-dependent fibril network moduli as well as the initial permeability correlated significantly with the tissue collagen content. The equilibrium Young's modulus of the nonfibrillar matrix and the strain dependency of permeability were significantly associated with the tissue PG content. The present study demonstrates that modern quantitative microscopic methods in combination with the FRPVE model are feasible methods to characterize the structure-function relationships of articular cartilage.

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Year:  2006        PMID: 17052722     DOI: 10.1016/j.jbiomech.2006.07.026

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  28 in total

1.  A depth dependent transversely isotropic micromechanic model of articular cartilage.

Authors:  Seyed Mohammad Mehdi Elhamian; Mansour Alizadeh; Mahmood Mehrdad Shokrieh; Alireza Karimi
Journal:  J Mater Sci Mater Med       Date:  2015-02-11       Impact factor: 3.896

2.  Measuring microscale strain fields in articular cartilage during rapid impact reveals thresholds for chondrocyte death and a protective role for the superficial layer.

Authors:  Lena R Bartell; Lisa A Fortier; Lawrence J Bonassar; Itai Cohen
Journal:  J Biomech       Date:  2015-06-12       Impact factor: 2.712

Review 3.  What can biophotonics tell us about the 3D microstructure of articular cartilage?

Authors:  Stephen J Matcher
Journal:  Quant Imaging Med Surg       Date:  2015-02

4.  Structure-function relations and rigidity percolation in the shear properties of articular cartilage.

Authors:  Jesse L Silverberg; Aliyah R Barrett; Moumita Das; Poul B Petersen; Lawrence J Bonassar; Itai Cohen
Journal:  Biophys J       Date:  2014-10-07       Impact factor: 4.033

Review 5.  Finite Element Modeling of Shape Changes in Plant Cells.

Authors:  Amir J Bidhendi; Anja Geitmann
Journal:  Plant Physiol       Date:  2017-12-11       Impact factor: 8.340

6.  Influence of the pericellular and extracellular matrix structural properties on chondrocyte mechanics.

Authors:  Mehdi Khoshgoftar; Peter A Torzilli; Suzanne A Maher
Journal:  J Orthop Res       Date:  2017-11-22       Impact factor: 3.494

7.  Recombinant human FGF18 preserves depth-dependent mechanical inhomogeneity in articular cartilage.

Authors:  G R Meloni; A Farran; B Mohanraj; H Guehring; R Cocca; E Rabut; R L Mauck; G R Dodge
Journal:  Eur Cell Mater       Date:  2019-08-08       Impact factor: 3.942

8.  Two-dimensional strain fields on the cross-section of the bovine humeral head under contact loading.

Authors:  Clare E Canal; Clark T Hung; Gerard A Ateshian
Journal:  J Biomech       Date:  2008-10-25       Impact factor: 2.712

9.  Molecular NMR T2 values can predict cartilage stress-relaxation parameters.

Authors:  Ronald K June; David P Fyhrie
Journal:  Biochem Biophys Res Commun       Date:  2008-09-24       Impact factor: 3.575

10.  Composition of the pericellular matrix modulates the deformation behaviour of chondrocytes in articular cartilage under static loading.

Authors:  Petro Julkunen; Wouter Wilson; Jukka S Jurvelin; Rami K Korhonen
Journal:  Med Biol Eng Comput       Date:  2009-11-07       Impact factor: 2.602

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