| Title |
How changes in interconnectivity affect the bulk properties of articular cartilage: a fibre network study
|
|---|---|
| Published in |
Biomechanics and Modeling in Mechanobiology, May 2018
|
| DOI | 10.1007/s10237-018-1027-6 |
| Pubmed ID | |
| Authors |
M. A. Bilton, A. Thambyah, R. J. Clarke |
| Abstract |
The remarkable compressive strength of articular cartilage arises from the mechanical interactions between the tension-resisting collagen fibrils and swelling proteoglycan proteins within the tissue. These interactions are facilitated by a significant level of interconnectivity between neighbouring collagen fibrils within the extracellular matrix. A reduction in interconnectivity is suspected to occur during the early stages of osteoarthritic degeneration. However, the relative contribution of these interconnections towards the bulk mechanical properties of articular cartilage has remained an open question. In this study, we present a simple 2D fibre network model which explicitly represents the microstructure of articular cartilage as collection of discrete nodes and linear springs. The transverse stiffness and swelling properties of this fibre network are studied, and a semi-analytic relationship which relates these two macroscopic properties via microscopic interconnectivity is derived. By comparing this derived expression to previously published experimental data, we show that although a reduction in network interconnectivity accounts for some of the observed changes in the mechanical properties of articular cartilage as degeneration occurs, a decrease in matrix interconnectivity alone do not provide a full account of this process. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 36% |
| Researcher | 3 | 27% |
| Student > Bachelor | 1 | 9% |
| Student > Doctoral Student | 1 | 9% |
| Unknown | 2 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 18% |
| Chemical Engineering | 1 | 9% |
| Nursing and Health Professions | 1 | 9% |
| Business, Management and Accounting | 1 | 9% |
| Materials Science | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 4 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 December 2018.
All research outputs
#21,186,729
of 23,849,058 outputs
Outputs from Biomechanics and Modeling in Mechanobiology
#422
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Outputs of similar age
#291,269
of 331,167 outputs
Outputs of similar age from Biomechanics and Modeling in Mechanobiology
#9
of 11 outputs
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