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挖掘成骨表面形貌:从计算机模拟设计到体内骨整合。

Mining for osteogenic surface topographies: In silico design to in vivo osseo-integration.

机构信息

MIRA Institute for Biomedical Technology and Technical Medicine, Department of Biomaterials Science and Technology, University of Twente, Enschede, The Netherlands; MERLN Institute for Technology-Inspired Regenerative Medicine, Department of Cell Biology -Inspired Tissue Engineering, Maastricht, The Netherlands.

Materiomics BV, Maastricht, The Netherlands.

出版信息

Biomaterials. 2017 Aug;137:49-60. doi: 10.1016/j.biomaterials.2017.05.020. Epub 2017 May 12.

Abstract

Stem cells respond to the physicochemical parameters of the substrate on which they grow. Quantitative material activity relationships - the relationships between substrate parameters and the phenotypes they induce - have so far poorly predicted the success of bioactive implant surfaces. In this report, we screened a library of randomly selected designed surface topographies for those inducing osteogenic differentiation of bone marrow-derived mesenchymal stem cells. Cell shape features, surface design parameters, and osteogenic marker expression were strongly correlated in vitro. Furthermore, the surfaces with the highest osteogenic potential in vitro also demonstrated their osteogenic effect in vivo: these indeed strongly enhanced bone bonding in a rabbit femur model. Our work shows that by giving stem cells specific physicochemical parameters through designed surface topographies, differentiation of these cells can be dictated.

摘要

干细胞对其生长的基质的理化参数有响应。定量材料活性关系——基质参数与它们诱导的表型之间的关系——到目前为止,它们对生物活性植入表面的成功预测效果很差。在本报告中,我们筛选了一个随机选择的设计表面形貌文库,以寻找那些能诱导骨髓间充质干细胞成骨分化的表面形貌。细胞形状特征、表面设计参数和成骨标志物表达在体外强烈相关。此外,在体外具有最高成骨潜力的表面在体内也表现出其成骨作用:这些表面确实强烈增强了兔股骨模型中的骨结合。我们的工作表明,通过设计表面形貌为干细胞提供特定的理化参数,可以控制这些细胞的分化。

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