Novel image analysis methods for quantification of in situ 3-D tendon cell and matrix strain.
Novel image analysis methods for quantification of in situ 3-D tendon cell and matrix strain.
复制标题
用于量化原位 3-D 肌腱细胞和基质应变的新颖图像分析方法。
DOI：
10.1016/j.jbiomech.2017.11.030
复制
发表时间：
2018
影响因子：
2.4
通讯作者：
Andarawis-Puri,Nelly
中科院分区：
文献类型：
--
作者：
Fung,AshleyK;Paredes,JJ;Andarawis-Puri,Nelly
宏观肌腱负荷调节细胞微环境，导致生物学结果，如退化或修复。以前的研究表明，损伤积累和肌腱愈合的阶段是由细胞外基质的显着变化，但它仍然是未知的细胞外基质的机械力是如何翻译到机械转导途径，最终驱动的生物反应。我们的总体假设是，细胞外基质应变和细胞变形之间的独特关系将决定生物学结果，提示需要定量方法来表征局部应变环境。虽然2-D方法已经成功地计算了基质应变和细胞变形，但3-D方法对于捕获由于高水平的各向异性和平面外运动而可能出现的增加的复杂性是必要的，特别是在无序的、高度细胞化的、受伤的状态中。在这项研究中，我们验证了使用数字体积相关方法来量化3-D矩阵应变使用的图像幼稚肌腱细胞，胶原纤维基质，和受伤的肌腱细胞。此外，幼稚肌腱细胞图像被用于开发用于3-D细胞变形和3-D细胞-基质应变的新方法，其被定义为基质应变和细胞变形之间关系的定量测量。结果支持这些方法可用于以高准确度检测菌株，并且可进一步扩展到anin vivosetting，用于观察退化和愈合期间细胞和基质力学的时间变化。
Macroscopic tendon loads modulate the cellular microenvironment leading to biological outcomes such as degeneration or repair. Previous studies have shown that damage accumulation and the phases of tendon healing are marked by significant changes in the extracellular matrix, but it remains unknown how mechanical forces of the extracellular matrix are translated to mechanotransduction pathways that ultimately drive the biological response. Our overarching hypothesis is that the unique relationship between extracellular matrix strain and cell deformation will dictate biological outcomes, prompting the need for quantitative methods to characterize the local strain environment. While 2-D methods have successfully calculated matrix strain and cell deformation, 3-D methods are necessary to capture the increased complexity that can arise due to high levels of anisotropy and out-of-plane motion, particularly in the disorganized, highly cellular, injured state. In this study, we validated the use of digital volume correlation methods to quantify 3-D matrix strain using images of naïve tendon cells, the collagen fiber matrix, and injured tendon cells. Additionally, naïve tendon cell images were used to develop novel methods for 3-D cell deformation and 3-D cell-matrix strain, which is defined as a quantitative measure of the relationship between matrix strain and cell deformation. The results support that these methods can be used to detect strains with high accuracy and can be further extended to anin vivosetting for observing temporal changes in cell and matrix mechanics during degeneration and healing.