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The Effect of Matrix Tension-Compression Nonlinearity and Fixed Negative Charges on Chondrocyte Responses in Cartilage

Morakot Likhitpanichkul1, X. Edward Guo2, Van C. Mow1,3

The Liu Ping Laboratory for Functional Tissue Engineering Research, Department of Biomedical Engineering, Columbia University, New York, NY
Bone Bioengineering Laboratory, Department of Biomedical Engineering, Columbia University, New York, NY
Corresponding author, Stanley Dicker Professor and Chair, Department of Biomedical Engineering, Columbia University, 351 Engineering Terrace 500 West 120th Street, New York, NY 10027. Telephone: (212) 854-8462 Fax: (212) 854-8725 Email: vcm1@columbia.edu

Molecular & Cellular Biomechanics 2005, 2(4), 191-204. https://doi.org/10.3970/mcb.2005.002.191

Abstract

Thorough analyses of the mechano-electrochemical interaction between articular cartilage matrix and the chondrocytes are crucial to understanding of the signal transduction mechanisms that modulate the cell metabolic activities and biosynthesis. Attempts have been made to model the chondrocytes embedded in the collagen-proteoglycan extracellular matrix to determine the distribution of local stress-strain field, fluid pressure and the time-dependent deformation of the cell. To date, these models still have not taken into account a remarkable characteristic of the cartilage extracellular matrix given rise from organization of the collagen fiber architecture, now known as the tension-compression nonlinearity (TCN) of the tissue, as well as the effect of negative charges attached to the proteoglycan molecules, and the cell cytoskeleton that interacts with mobile ions in the interstitial fluid to create osmotic and electro-kinetic events in and around the cells. In this study, we proposed a triphasic, multi-scale, finite element model incorporating the Conewise Linear Elasticity that can describe the various known coupled mechanical, electrical and chemical events, while at the same time representing the TCN of the extracellular matrix. The model was employed to perform a detailed analysis of the chondrocytes' deformational and volume responses, and to quantitatively describe the mechano-electrochemical environment of these cells. Such a model describes contributions of the known detailed micro-structural and composition of articular cartilage. Expectedly, results from model simulations showed substantial effects of the matrix TCN on the cell deformational and volume change response. A low compressive Poisson's ratio of the cartilage matrix exhibiting TCN resulted in dramatic recoiling behavior of the tissue under unconfined compression and induced significant volume change in the cell. The fixed charge density of the chondrocyte and the pericellular matrix were also found to play an important role in both the time-dependent and equilibrium deformation of the cell. The pericellular matrix tended to create a uniform osmolarity around the cell and overall amplified the cell volume change. It is concluded that the proposed model can be a useful tool that allows detailed analysis of the mechano-electrochemical interactions between the chondrocytes and its surrounding extracellular matrix, which leads to more quantitative insights in the cell mechano-transduction.

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APA Style
Likhitpanichkul, M., Guo, X.E., Mow, V.C. (2005). The effect of matrix tension-compression nonlinearity and fixed negative charges on chondrocyte responses in cartilage. Molecular & Cellular Biomechanics, 2(4), 191-204. https://doi.org/10.3970/mcb.2005.002.191
Vancouver Style
Likhitpanichkul M, Guo XE, Mow VC. The effect of matrix tension-compression nonlinearity and fixed negative charges on chondrocyte responses in cartilage. Mol Cellular Biomechanics . 2005;2(4):191-204 https://doi.org/10.3970/mcb.2005.002.191
IEEE Style
M. Likhitpanichkul, X.E. Guo, and V.C. Mow, “The Effect of Matrix Tension-Compression Nonlinearity and Fixed Negative Charges on Chondrocyte Responses in Cartilage,” Mol. Cellular Biomechanics , vol. 2, no. 4, pp. 191-204, 2005. https://doi.org/10.3970/mcb.2005.002.191



cc Copyright © 2005 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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