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Computational modeling to predict the temporal regulation of chondrocyte metabolism in response to various dynamic compression regimens

Computational modeling to predict the temporal regulation of chondrocyte metabolism in response to various dynamic compression regimens
Computational modeling to predict the temporal regulation of chondrocyte metabolism in response to various dynamic compression regimens
Based on previously published experimental work, computational models were developed to simulate the effect of different dynamic compression regimens on the activity of chondrocytes seeded in agarose constructs. In particular, the balance between proliferation and matrix synthesis can be adjusted by applying different intervals of continuous or intermittent mechanical compression. A phenomenological compartment based-modeling approach was used as first model. A more mechanistic cell cycle model was used as the second model. The compartment-based modeling approach was found to be useful in representing a balance between proliferation and proteoglycan synthesis, when the effect of a certain stimulation protocol is known. In order to predict the response to different intervals of mechanical stimulation, however, a more mechanistic cell cycle-based approach is required. The cell cycle model supports an important role of the onset of loading. In addition, an inhibitory effect of further loading is required, which is more likely to be related to cell cycle progression velocity than to a decreased probability of commitment to the cell cycle. The mechanisms behind this inhibitory effect and the computational implementation, however, require further investigation.
1617-7959
111-122
Sengers, B.G.
d6b771b1-4ede-48c5-9644-fa86503941aa
Oomens, C.W.J.
a8310c52-8ab4-4652-b2d6-82269a3c7438
Nguyen, T.Q.D.
7802d1b3-8607-47b9-8556-0af681d4dab6
Bader, D.L.
e7086f10-f647-47b5-b2a5-42fef92cc049
Sengers, B.G.
d6b771b1-4ede-48c5-9644-fa86503941aa
Oomens, C.W.J.
a8310c52-8ab4-4652-b2d6-82269a3c7438
Nguyen, T.Q.D.
7802d1b3-8607-47b9-8556-0af681d4dab6
Bader, D.L.
e7086f10-f647-47b5-b2a5-42fef92cc049

Sengers, B.G., Oomens, C.W.J., Nguyen, T.Q.D. and Bader, D.L. (2006) Computational modeling to predict the temporal regulation of chondrocyte metabolism in response to various dynamic compression regimens. Biomechanics and Modeling in Mechanobiology, 5 (2-3), 111-122. (doi:10.1007/s10237-006-0023-4). (PMID:16514518)

Record type: Article

Abstract

Based on previously published experimental work, computational models were developed to simulate the effect of different dynamic compression regimens on the activity of chondrocytes seeded in agarose constructs. In particular, the balance between proliferation and matrix synthesis can be adjusted by applying different intervals of continuous or intermittent mechanical compression. A phenomenological compartment based-modeling approach was used as first model. A more mechanistic cell cycle model was used as the second model. The compartment-based modeling approach was found to be useful in representing a balance between proliferation and proteoglycan synthesis, when the effect of a certain stimulation protocol is known. In order to predict the response to different intervals of mechanical stimulation, however, a more mechanistic cell cycle-based approach is required. The cell cycle model supports an important role of the onset of loading. In addition, an inhibitory effect of further loading is required, which is more likely to be related to cell cycle progression velocity than to a decreased probability of commitment to the cell cycle. The mechanisms behind this inhibitory effect and the computational implementation, however, require further investigation.

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Published date: June 2006
Organisations: Faculty of Engineering and the Environment

Identifiers

Local EPrints ID: 349747
URI: http://eprints.soton.ac.uk/id/eprint/349747
ISSN: 1617-7959
PURE UUID: a8b945aa-e6ac-4544-91be-ac5c841ca4d8
ORCID for B.G. Sengers: ORCID iD orcid.org/0000-0001-5859-6984

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Date deposited: 12 Mar 2013 14:08
Last modified: 17 Dec 2019 01:45

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Contributors

Author: B.G. Sengers ORCID iD
Author: C.W.J. Oomens
Author: T.Q.D. Nguyen
Author: D.L. Bader

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