期刊
BIOPHYSICAL JOURNAL
卷 107, 期 7, 页码 1721-1730出版社
CELL PRESS
DOI: 10.1016/j.bpj.2014.08.011
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资金
- National Science Foundation [DMR-1056662, CHE-1151079, DMR-1120296]
- National Institutes of Health [R21-AR062677]
- internal Rochester Institute of Technology College of Science D-RIG grant
- Division Of Chemistry
- Direct For Mathematical & Physical Scien [1151079] Funding Source: National Science Foundation
- Division Of Materials Research
- Direct For Mathematical & Physical Scien [1056662] Funding Source: National Science Foundation
Among mammalian soft tissues, articular cartilage is particularly interesting because it can endure a lifetime of daily mechanical loading despite having minimal regenerative capacity. This remarkable resilience may be due to the depth-dependent mechanical properties, which have been shown to localize strain and energy dissipation. This paradigm proposes that these properties arise from the depth-dependent collagen fiber orientation. Nevertheless, this structure-function relationship has not yet been quantified. Here, we use confocal elastography, quantitative polarized light microscopy, and Fourier-transform infrared imaging to make same-sample measurements of the depth-dependent shear modulus, collagen fiber organization, and extracellular matrix concentration in neonatal bovine articular cartilage. We find weak correlations between the shear modulus vertical bar G*vertical bar and both the collagen fiber orientation and polarization. We find a much stronger correlation between vertical bar G*vertical bar and the concentration of collagen fibers. Interestingly, very small changes in collagen volume fraction v(c) lead to orders-of-magnitude changes in the modulus with vertical bar G*vertical bar scaling as (v(c) - v(0))(xi). Such dependencies are observed in the rheology of other biopolymer networks whose structure exhibits rigidity percolation phase transitions. Along these lines, we propose that the collagen network in articular cartilage is near a percolation threshold that gives rise to these large mechanical variations and localization of strain at the tissue's surface.
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