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二维生物弹塑性模型对烧伤后挛缩的敏感性。

Sensitivity of a two-dimensional biomorphoelastic model for post-burn contraction.

机构信息

Delft Institute of Applied Mathematics, Delft University of Technology, Delft, The Netherlands.

Research Group Computational Mathematics (CMAT), Department of Mathematics and Statistics, University of Hasselt, Hasselt, Belgium.

出版信息

Biomech Model Mechanobiol. 2023 Feb;22(1):105-121. doi: 10.1007/s10237-022-01634-w. Epub 2022 Oct 13.

Abstract

We consider a two-dimensional biomorphoelastic model describing post-burn scar contraction. This model describes skin displacement and the development of the effective Eulerian strain in the tissue. Besides these mechanical components, signaling molecules, fibroblasts, myofibroblasts, and collagen also play a significant role in the model. We perform a sensitivity analysis for the independent parameters of the model and focus on the effects on features of the relative surface area and the total strain energy density. We conclude that the most sensitive parameters are the Poisson's ratio, the equilibrium collagen concentration, the contraction inhibitor constant, and the myofibroblast apoptosis rate. Next to these insights, we perform a sensitivity analysis where the proliferation rates of fibroblasts and myofibroblasts are not the same. The impact of this model adaptation is significant.

摘要

我们考虑了一个二维的生物形态弹性模型,用于描述烧伤后疤痕的收缩。该模型描述了皮肤位移和组织中有效欧拉应变的发展。除了这些力学成分外,信号分子、成纤维细胞、肌成纤维细胞和胶原蛋白在模型中也起着重要作用。我们对模型的独立参数进行了敏感性分析,并重点研究了相对表面积和总应变能密度特征的影响。我们得出结论,最敏感的参数是泊松比、平衡胶原浓度、收缩抑制剂常数和肌成纤维细胞凋亡率。除了这些见解之外,我们还进行了敏感性分析,其中成纤维细胞和肌成纤维细胞的增殖率不相同。这种模型适应的影响是显著的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8490/9957927/142e8c69dbdf/10237_2022_1634_Fig1_HTML.jpg

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