Computational model of a synovial joint morphogenesis

Carrera-Pinzón, Andrés Felipe; Márquez-Flórez, Kalenia; Kraft, Reuben H.; Ramtani, S.; Garzón‐Alvarado, Diego Alexander

doi:10.1007/s10237-019-01277-4

Cited by 7 publications

(17 citation statements)

References 42 publications

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“…Later, [12] proposes a model in which the cartilage growth was regulated by the negative σh, and they were the first to include the synovial capsule (as a spherical uncompressible domain surrounding the cartilaginous bone rudiments). This model was enhanced by [13] including the effect of the von Mises stress (σVM) as a growth inhibitor in the regulation of the articular cartilage growth. All models found in the literature follow an iterative loop, in which the tissue grows on each step until a stop criterion is reached.…”

Section: Computational Models Of Joint Morphogenesismentioning

confidence: 99%

“…The starting point of this work was to replicate a computational model of a joint morphogenesis existing in the literature. The implemented model was the one presented in [13]. From that work, we simulated the case of the morphogenesis of an interphalangeal joint developing under palsy conditions.…”

Section: Implementation Of a Joint Morphogenesis Computational Modelmentioning

confidence: 99%

“…Using this geometry, the capsule is then created with Boolean operations. The capsule is considered as an incompressible domain surrounding the joint [12,13]. Afterwards, the contact parts and the capsule are meshed.…”

Section: Bioinspired Design Of Contact Surfaces Of Mechanical Jointsmentioning

confidence: 99%

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Generative design of joint contact surfaces inspired by biological morphogenesis

et al. 2022

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Section: Computational Models Of Joint Morphogenesismentioning

confidence: 99%

Section: Implementation Of a Joint Morphogenesis Computational Modelmentioning

confidence: 99%

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Generative design of joint contact surfaces inspired by biological morphogenesis

et al. 2022

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“…To our best of knowledge, this is the first computational model of cartilage tissue growth using biphasic theory. Unlike previous models of joint morphogenesis [33][34][35][36], the effect of fluid flow is explicitly incorporated in our simulations, allowing us to better test our hypothesis that local dynamic mechanical stimuli are the drivers of tissue growth, and ultimately determine joint shape.…”

Section: Poroelastic Framework With Continuum Growthmentioning

confidence: 99%

“…They allow for the quantitative, unbiased testing of the biophysical mechanisms that might be regulating and controlling morphogenesis [31,32]. A few studies have used FEA to examine how changes in mechanical loading affect joint morphogenesis [33][34][35][36]. These models demonstrated shape changes based on generic joint shapes and idealised loading conditions in two dimensions.…”

Section: Introductionmentioning

confidence: 99%

Local mechanical stimuli shape tissue growth in vertebrate joint morphogenesis

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Farkas

Kleinberg

et al. 2021

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The correct formation of synovial joints is essential for proper motion throughout life. Movement-induced forces are critical to creating correctly shaped joints, but it is unclear how cells sense and respond to these mechanical cues. To determine how mechanical stimuli drive joint morphogenesis, we combined experiments on regenerating axolotl forelimbs with a poroelastic model of bone rudiment growth. Animals either regrew forelimbs normally (control) or were injected with a TRPV4 agonist to impair chondrocyte mechanosensitivity during joint morphogenesis. We quantified growth and shape in regrown humeri from whole mount light sheet fluorescence images of the regenerated limbs. Results revealed statistically significant differences in morphology and cell proliferation between the two groups, indicating that mechanical stimuli play a role in the shaping of the joint. Local tissue growth in our finite element model was dictated by a biological contribution, proportional to chondrocyte density, and a mechanical one, driven by fluid pore pressure dynamics. Computational predictions agreed with experimental outcomes, suggesting that interstitial pressure might promote local tissue growth. Predictive computational models informed by experimental findings allow us to explore potential physical mechanisms and regulatory dynamics involved in tissue growth to advance our understanding of the mechanobiology of joint morphogenesis.

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