A review on the mechanical quality of articular cartilage – Implications for the diagnosis of osteoarthritis

Knecht, Sven; Vanwanseele, Benedicte; Stüssi, Edgar

doi:10.1016/j.clinbiomech.2006.07.001

Cited by 117 publications

(88 citation statements)

References 69 publications

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“…We defined each sample as "healthy" or "degenerated" depending on their dynamic stiffness. Indeed, it has been shown that in osteoarthritic cartilage dynamic stiffness is 70% lower than in healthy cartilage (Knecht et al, 2006).…”

Section: Experimental Designmentioning

confidence: 99%

Intrinsic viscoelasticity increases temperature in knee cartilage under physiological loading

Abdel-Sayed

Moghadam

Salomir

et al. 2014

Journal of the Mechanical Behavior of Biomedical Materials

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Temperature Magnetic resonance imagingDifferential scanning calorimetry a b s t r a c t Metabolism of proteoglycans and hyaluronic acid has been shown to be temperaturedependent in cartilage explants, with optimal anabolic effects between 36 1C and 38 1C. At rest, the temperature of human knee has a value of around 33 1C. We aim to show in this study that viscoelastic properties of healthy human cartilage allow its temperature to reach those optimal temperatures during physiological mechanical loadings. We developed a model allowing to determine the temperature increase in cartilage due to viscous dissipation. The model had three parameters, which were determined experimentally. The first parameter was the energy dissipated by cartilage samples submitted to cyclic stimulation. It was obtained with standard in vitro mechanical testing. The second parameter was the cartilage heat capacity and was measured in vitro with differential scanning calorimetry. Finally, the third parameter was the time constant of cartilage heat transfer and was obtained with in vivo magnetic resonance thermometry performed on four volunteers. With these experimentally determined parameters, the model predicted that cartilage dissipation is sufficient to raise the temperature in healthy knee cartilage from 33 1C to 36.7 1C after a 1 h walking. These results showed that intrinsic viscoelastic properties of the cartilage could induce a temperature increase optimal for the production of proteoglycans and hyaluronic acid. Interestingly, degenerated cartilage did not present high enough viscoelastic properties to significantly induce a temperature increase. Taken together, these data suggest an association between cartilage dissipation and its homeostasis.

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Section: Experimental Designmentioning

confidence: 99%

Intrinsic viscoelasticity increases temperature in knee cartilage under physiological loading

Abdel-Sayed

Moghadam

Salomir

et al. 2014

Journal of the Mechanical Behavior of Biomedical Materials

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“…The right production of ECM in vitro might require to perform culture under dynamic loading conditions. This has been performed by the development of a broad plethora of bioreactors which induce mechanical stimulus in different ways, such as confined or unconfined compression and hydrostatic pressure, among others (Knecht et al, 2006;Schulz and Bader, 2007;Wong M Fau -Carter and Carter, 2003). It was found that cyclic applications of these stimuli generally produce higher differentiation responses due to a cascade of signaling events that has been called mechanotransduction (Chen et al, 2009;De Croos et al, 2006;Huang et al, 2010a;Mahmoudifar and Doran, 2010).…”

Section: Introductionmentioning

confidence: 99%

Fatigue prediction in fibrin poly-ε-caprolactone macroporous scaffolds

Panadero

Vikingsson

Ribelles

et al. 2013

Journal of the Mechanical Behavior of Biomedical Materials

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Tissue engineering applications rely on scaffolds that during its service life, either for in-vivo or in vitro applications, are under mechanical solicitations. The variation of the mechanical condition of the scaffold is strongly relevant for cell culture and has been scarcely addressed.Fatigue life cycle of poly-ε-caprolactone, PCL, scaffolds with and without fibrin as filler of the pore structure were characterized both dry and immersed in liquid water. It is observed that the there is a strong increase from 100 to 500 in the number of loading cycles before collapse in the samples tested in immersed conditions due to the more uniform stress distributions within the samples, the fibrin loading playing a minor role in the mechanical performance of the scaffolds.

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“…It is therefore probably a good approach to define a set of measurable endpoint characteristics for osteochondral tissues to evaluate the experimental steps taken, when going from bench to patient. Osteochondral tissues represent certain geometrical and mechanical properties (Knecht, Vanwanseele et al 2006;Gordeladze, Reseland et al 2009), as well as gene expression profiles (Grundberg, Brandstrom et al 2008;Duggal, Fronsdal et al 2009;Granchi, Ochoa et al 2010;Herlofsen, Kuchler et al 2011), which may guide the selection of major combinations of treatments, as envisaged by the permutation process. To shed light on this exercise, some bioinformatics exercises have been conducted, and some selected experiments have been described.…”

Section: Permutation Of Factors Influencing Cell Phenotypesmentioning

confidence: 99%

“…Finally, the newly formed engineered tissue does not survive unless it develops a vascular network (Matsumoto, Kuroda et al 2008;Grellier, Bordenave et al 2009) furnishing the bone tissue with oxygen, growth factors and nutrients. Chondrocytes in engineered cartilage should be able to produce an extracellular matrix reflecting the composition, water-binding capacity and mechanical characteristics of true 24 hyaline cartilage (Knecht, Vanwanseele et al 2006;Heinegard 2009;Bertrand, Cromme et al 2010;Goldring and Goldring 2010). This type of cartilage exhibits certain features, such as hypoxic conditions and chondrocytes demonstrating gradients of gene transcript levels (cell phenotype plasticity) between the juxta-luminal and bone-lining surfaces of a joint (Grimshaw and Mason 2001;Lu, Subramony et al 2010;Oh, Kim et al 2010).…”

Section: Introductionmentioning

confidence: 99%

Bone and Cartilage from Stem Cells: Growth Optimalization and Stabilization of Cell Phenotypes

Gordeladze¹,

Reseland²,

Karlsen³

et al. 2011

Regenerative Medicine and Tissue Engineering - Cells and Biomaterials

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A review on the mechanical quality of articular cartilage – Implications for the diagnosis of osteoarthritis

Cited by 117 publications

References 69 publications

Intrinsic viscoelasticity increases temperature in knee cartilage under physiological loading

Intrinsic viscoelasticity increases temperature in knee cartilage under physiological loading

Fatigue prediction in fibrin poly-ε-caprolactone macroporous scaffolds

Bone and Cartilage from Stem Cells: Growth Optimalization and Stabilization of Cell Phenotypes

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