当前位置: X-MOL 学术Biomech. Model. Mechanobiol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Agent-based modelling and parameter sensitivity analysis with a finite-element method for skin contraction.
Biomechanics and Modeling in Mechanobiology ( IF 3.0 ) Pub Date : 2020-07-04 , DOI: 10.1007/s10237-020-01354-z
Qiyao Peng 1 , Fred Vermolen 1, 2
Affiliation  

In this paper, we extend the model of wound healing by Boon et al. (J Biomech 49(8):1388–1401, 2016). In addition to explaining the model explicitly regarding every component, namely cells, signalling molecules and tissue bundles, we categorized fibroblasts as regular fibroblasts and myofibroblasts. We do so since it is widely documented that myofibroblasts play a significant role during wound healing and skin contraction and that they are the main phenotype of cells that is responsible for the permanent deformations. Furthermore, we carried out some sensitivity tests of the model by modifying certain parameter values, and we observe that the model shows some consistency with several biological phenomena. Using Monte Carlo simulations, we found that there is a significant strong positive correlation between the final wound area and the minimal wound area. The high correlation between the wound area after 4 days and the final/minimal wound area makes it possible for physicians to predict the most probable time evolution of the wound of the patient. However, the collagen density ratio at the time when the wound area reaches its equilibrium and minimum, cannot indicate the degree of wound contractions, whereas at the 4th day post-wounding, when the collagen is accumulating from null, there is a strong negative correlation between the area and the collagen density ratio. Further, under the circumstances that we modelled, the probability that patients will end up with 5% contraction is about 0.627.



中文翻译:

基于代理的建模和参数敏感性分析,使用有限元方法进行皮肤收缩。

在本文中,我们扩展了 Boon 等人的伤口愈合模型。(J Biomech 49(8):1388–1401, 2016)。除了明确解释每个组件(即细胞、信号分子和组织束)的模型外,我们还将成纤维细胞分为常规成纤维细胞和肌成纤维细胞。我们这样做是因为有广泛记载,肌成纤维细胞在伤口愈合和皮肤收缩过程中起着重要作用,并且它们是导致永久变形的细胞的主要表型。此外,我们通过修改某些参数值对模型进行了一些敏感性测试,我们观察到该模型与几种生物现象具有一定的一致性。使用蒙特卡罗模拟,我们发现最终伤口面积和最小伤口面积之间存在显着的强正相关。4 天后伤口面积与最终/最小伤口面积之间的高度相关性使医生可以预测患者伤口最可能的时间演变。然而,伤口面积达到其平衡和最小值时的胶原密度比并不能表明伤口收缩的程度,而在伤口后第4天,当胶原蛋白从零开始积累时,存在强烈的负相关面积和胶原密度比之间。此外,在我们建模的情况下,患者最终收缩 5% 的概率约为 0.627。4 天后伤口面积与最终/最小伤口面积之间的高度相关性使医生可以预测患者伤口最可能的时间演变。然而,伤口面积达到其平衡和最小值时的胶原密度比并不能表明伤口收缩的程度,而在伤口后第4天,当胶原蛋白从零开始积累时,存在强烈的负相关面积和胶原密度比之间。此外,在我们建模的情况下,患者最终收缩 5% 的概率约为 0.627。4 天后伤口面积与最终/最小伤口面积之间的高度相关性使医生可以预测患者伤口最可能的时间演变。然而,伤口面积达到其平衡和最小值时的胶原密度比并不能表明伤口收缩的程度,而在伤口后第4天,当胶原蛋白从零开始积累时,存在强烈的负相关面积和胶原密度比之间。此外,在我们建模的情况下,患者最终收缩 5% 的概率约为 0.627。伤口面积达到平衡和最小值时的胶原密度比不能表示伤口收缩的程度,而在伤口后第 4 天,当胶原蛋白从零开始积累时,两者之间存在强烈的负相关关系。面积和胶原密度比。此外,在我们建模的情况下,患者最终收缩 5% 的概率约为 0.627。伤口面积达到平衡和最小值时的胶原密度比不能表示伤口收缩的程度,而在伤口后第 4 天,当胶原蛋白从零开始积累时,两者之间存在强烈的负相关关系。面积和胶原密度比。此外,在我们建模的情况下,患者最终收缩 5% 的概率约为 0.627。

更新日期:2020-07-05
down
wechat
bug