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可变刚度微环境中软骨细胞受压诱导的代谢反应。

Metabolic responses induced by compression of chondrocytes in variable-stiffness microenvironments.

作者信息

McCutchen Carley N, Zignego Donald L, June Ronald K

机构信息

Department of Mechanical & Industrial Engineering, Montana State University, United States.

Department of Mechanical & Industrial Engineering, Montana State University, United States; Department of Cell Biology & Neurosciences, Montana State University, United States; Department of Orthopaedics & Sports Medicine, University of Washington, United States.

出版信息

J Biomech. 2017 Nov 7;64:49-58. doi: 10.1016/j.jbiomech.2017.08.032. Epub 2017 Sep 21.

Abstract

Cells sense and respond to mechanical loads in a process called mechanotransduction. These processes are disrupted in the chondrocytes of cartilage during joint disease. A key driver of cellular mechanotransduction is the stiffness of the surrounding matrix. Many cells are surrounded by extracellular matrix that allows for tissue mechanical function. Although prior studies demonstrate that extracellular stiffness is important in cell differentiation, morphology and phenotype, it remains largely unknown how a cell's biological response to cyclical loading varies with changes in surrounding substrate stiffness. Understanding these processes is important for understanding cells that are cyclically loaded during daily in vivo activities (e.g. chondrocytes and walking). This study uses high-performance liquid chromatography - mass spectrometry to identify metabolomic changes in primary chondrocytes under cyclical compression for 0-30minutes in low- and high-stiffness environments. Metabolomic analysis reveals metabolites and pathways that are sensitive to substrate stiffness, duration of cyclical compression, and a combination of both suggesting changes in extracellular stiffness in vivo alter mechanosensitive signaling. Our results further suggest that cyclical loading minimizes matrix deterioration and increases matrix production in chondrocytes. This study shows the importance of modeling in vivo stiffness with in vitro models to understand cellular mechanotransduction.

摘要

细胞通过一种称为机械转导的过程感知并响应机械负荷。在关节疾病期间,这些过程在软骨的软骨细胞中会受到破坏。细胞机械转导的一个关键驱动因素是周围基质的硬度。许多细胞被细胞外基质包围,细胞外基质赋予组织机械功能。尽管先前的研究表明细胞外硬度在细胞分化、形态和表型方面很重要,但细胞对周期性负荷的生物学反应如何随周围底物硬度的变化而变化在很大程度上仍不清楚。了解这些过程对于理解在日常体内活动中受到周期性负荷的细胞(例如软骨细胞和行走时)很重要。本研究使用高效液相色谱 - 质谱法来识别在低硬度和高硬度环境下,原代软骨细胞在0至30分钟周期性压缩下的代谢组学变化。代谢组学分析揭示了对底物硬度、周期性压缩持续时间以及两者组合敏感的代谢物和途径,这表明体内细胞外硬度的变化会改变机械敏感信号传导。我们的结果进一步表明,周期性负荷可使软骨细胞中的基质降解最小化并增加基质生成。这项研究表明了用体外模型模拟体内硬度以理解细胞机械转导的重要性。

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