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一种用于模拟皮肤创伤后增生性瘢痕组织形成及后续消退的数学模型。

A mathematical model for the simulation of the formation and the subsequent regression of hypertrophic scar tissue after dermal wounding.

作者信息

Koppenol Daniël C, Vermolen Fred J, Niessen Frank B, van Zuijlen Paul P M, Vuik Kees

机构信息

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

Department of Plastic, Reconstructive and Hand Surgery, MOVE Research Institute, VU University Medical Centre, Amsterdam, The Netherlands.

出版信息

Biomech Model Mechanobiol. 2017 Feb;16(1):15-32. doi: 10.1007/s10237-016-0799-9. Epub 2016 May 26.

DOI:10.1007/s10237-016-0799-9
PMID:27229739
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5285433/
Abstract

A continuum hypothesis-based model is presented for the simulation of the formation and the subsequent regression of hypertrophic scar tissue after dermal wounding. Solely the dermal layer of the skin is modeled explicitly and it is modeled as a heterogeneous, isotropic and compressible neo-Hookean solid. With respect to the constituents of the dermal layer, the following components are selected as primary model components: fibroblasts, myofibroblasts, a generic signaling molecule and collagen molecules. A good match with respect to the evolution of the thickness of the dermal layer of scars between the outcomes of simulations and clinical measurements on hypertrophic scars at different time points after injury in human subjects is demonstrated. Interestingly, the comparison between the outcomes of the simulations and the clinical measurements demonstrates that a relatively high apoptosis rate of myofibroblasts results in scar tissue that behaves more like normal scar tissue with respect to the evolution of the thickness of the tissue over time, while a relatively low apoptosis rate results in scar tissue that behaves like hypertrophic scar tissue with respect to the evolution of the thickness of the tissue over time. Our ultimate goal is to construct models with which the properties of newly generated tissues that form during wound healing can be predicted with a high degree of certainty. The development of the presented model is considered by us as a step toward their construction.

摘要

提出了一种基于连续统假设的模型,用于模拟皮肤创伤后增生性瘢痕组织的形成及随后的消退。仅对皮肤的真皮层进行显式建模,并将其建模为非均质、各向同性且可压缩的新胡克固体。关于真皮层的组成成分,选择以下组分作为主要模型组分:成纤维细胞、肌成纤维细胞、一种通用信号分子和胶原分子。结果表明,在模拟结果与人类受试者受伤后不同时间点增生性瘢痕的真皮层厚度演变的临床测量之间,存在良好的匹配。有趣的是,模拟结果与临床测量的比较表明,肌成纤维细胞相对较高的凋亡率会导致瘢痕组织在组织厚度随时间演变方面表现得更像正常瘢痕组织,而相对较低的凋亡率会导致瘢痕组织在组织厚度随时间演变方面表现得像增生性瘢痕组织。我们的最终目标是构建能够高度准确地预测伤口愈合过程中形成的新生组织特性的模型。我们认为所提出模型的开发是朝着构建此类模型迈出的一步。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4bf/5285433/4ca2372a5f3e/10237_2016_799_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4bf/5285433/7d308155b558/10237_2016_799_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4bf/5285433/721a4f5c6425/10237_2016_799_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4bf/5285433/2032440aada7/10237_2016_799_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4bf/5285433/d42d3c028f0d/10237_2016_799_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4bf/5285433/9cb758830986/10237_2016_799_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4bf/5285433/6bcf979d65ad/10237_2016_799_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4bf/5285433/16e7545d5239/10237_2016_799_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4bf/5285433/68e5557e496c/10237_2016_799_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4bf/5285433/4ca2372a5f3e/10237_2016_799_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4bf/5285433/7d308155b558/10237_2016_799_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4bf/5285433/721a4f5c6425/10237_2016_799_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4bf/5285433/2032440aada7/10237_2016_799_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4bf/5285433/d42d3c028f0d/10237_2016_799_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4bf/5285433/9cb758830986/10237_2016_799_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4bf/5285433/6bcf979d65ad/10237_2016_799_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4bf/5285433/16e7545d5239/10237_2016_799_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4bf/5285433/68e5557e496c/10237_2016_799_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4bf/5285433/4ca2372a5f3e/10237_2016_799_Fig9_HTML.jpg

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