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生理相关水平下伤口的生物力学:理解皮肤的应力屏蔽效应以进行愈合的定量评估。

The biomechanics of wounds at physiologically relevant levels: Understanding skin's stress-shielding effect for the quantitative assessment of healing.

作者信息

Medina-Lombardero Sara, Bain Connor, Charlton Laura, Pellicoro Antonella, Rocliffe Holly, Cash Jenna, Reuben Robert, Crichton Michael L

机构信息

School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, EH14 4AS, United Kingdom.

School of Engineering, University of Edinburgh, Edinburgh, EH9 3RF, United Kingdom.

出版信息

Mater Today Bio. 2024 Jan 17;25:100963. doi: 10.1016/j.mtbio.2024.100963. eCollection 2024 Apr.

DOI:10.1016/j.mtbio.2024.100963
PMID:38312802
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10835282/
Abstract

Wounds are responsible for the decrease in quality of life of billions of people around the world. Their assessment relies on subjective parameters which often delays optimal treatments and results in increased healthcare costs. In this work, we sought to understand and quantify how wounds at different healing stages (days 1, 3, 7 and 14 post wounding) change the mechanical properties of the tissues that contain them, and how these could be measured at clinically relevant strain levels, as a step towards quantitative wound tracking technologies. To achieve this, we used digital image correlation and mechanical testing on a mouse model of wound healing to map the global and local tissue strains. We found no significant differences in the elastic and viscoelastic properties of wounded vs unwounded skin when samples were measured in bulk, presumably as these were masked by the protective mechanisms of skin, which redistributes the applied loads to mitigate high stresses and reduce tissue damage. By measuring local strain values and observing the distinct patterns they formed, it was possible to establish a connection between the healing phase of the tissue (determined by the time post-injury and the observed histological features) and the overall mechanical behaviour. Importantly, these parameters were measured from the surface of the tissue, using physiologically relevant strains without increasing the tissue's damage. Adaptations of these approaches for clinical use have the potential to aid in the identification of skin healing problems, such as excessive inflammation or lack of mechanical progression over time. An increase, decrease, or lack of change in the elasticity and viscoelasticity parameters, can be indicative of wound state, thus ultimately leading to improved diagnostic outcomes.

摘要

伤口会降低全球数十亿人的生活质量。对伤口的评估依赖主观参数,这常常会延误最佳治疗并导致医疗成本增加。在这项研究中,我们试图了解并量化处于不同愈合阶段(受伤后第1、3、7和14天)的伤口如何改变包含它们的组织的力学性能,以及如何在临床相关应变水平下对这些性能进行测量,以此作为迈向定量伤口跟踪技术的一步。为实现这一目标,我们在伤口愈合的小鼠模型上使用数字图像相关技术和力学测试来绘制整体和局部组织应变图。当对样本进行整体测量时,我们发现受伤皮肤与未受伤皮肤的弹性和粘弹性特性没有显著差异,推测这是因为这些差异被皮肤的保护机制所掩盖,皮肤会重新分配施加的载荷以减轻高应力并减少组织损伤。通过测量局部应变值并观察它们形成的独特模式,能够在组织的愈合阶段(由受伤时间和观察到的组织学特征确定)与整体力学行为之间建立联系。重要的是,这些参数是在不增加组织损伤的情况下,从组织表面使用生理相关应变进行测量的。将这些方法应用于临床有潜力帮助识别皮肤愈合问题,例如过度炎症或随时间缺乏力学进展。弹性和粘弹性参数的增加、减少或无变化,都可以指示伤口状态,从而最终改善诊断结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6c1/10835282/963bf7f7e91d/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6c1/10835282/55fd49bc6cb6/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6c1/10835282/f3e6197417d4/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6c1/10835282/e074e251ba27/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6c1/10835282/53a99e901c91/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6c1/10835282/fe43bd8578c6/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6c1/10835282/51489fa2926f/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6c1/10835282/108ebcc5430f/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6c1/10835282/68e523adc076/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6c1/10835282/11f26be5633a/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6c1/10835282/61a7cbdee716/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6c1/10835282/963bf7f7e91d/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6c1/10835282/55fd49bc6cb6/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6c1/10835282/f3e6197417d4/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6c1/10835282/e074e251ba27/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6c1/10835282/53a99e901c91/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6c1/10835282/fe43bd8578c6/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6c1/10835282/51489fa2926f/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6c1/10835282/108ebcc5430f/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6c1/10835282/68e523adc076/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6c1/10835282/11f26be5633a/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6c1/10835282/61a7cbdee716/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6c1/10835282/963bf7f7e91d/gr10.jpg

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