Denchai Anna, Tartarini Daniele, Mele Elisa
Department of Materials, Loughborough University, Loughborough, United Kingdom.
Department of Civil Engineering, University of Sheffield, Sheffield, United Kingdom.
Front Bioeng Biotechnol. 2018 Oct 24;6:155. doi: 10.3389/fbioe.2018.00155. eCollection 2018.
Surface properties of biomaterials, such as chemistry and morphology, have a major role in modulating cellular behavior and therefore impact on the development of high-performance devices for biomedical applications, such as scaffolds for tissue engineering and systems for drug delivery. Opportunely-designed micro- and nanostructures provides a unique way of controlling cell-biomaterial interaction. This mini-review discusses the current research on the use of electrospinning (extrusion of polymer nanofibers upon the application of an electric field) as effective technique to fabricate patterns of micro- and nano-scale resolution, and the corresponding biological studies. The focus is on the effect of morphological cues, including fiber alignment, porosity and surface roughness of electrospun mats, to direct cell migration and to influence cell adhesion, differentiation and proliferation. Experimental studies are combined with computational models that predict and correlate the surface composition of a biomaterial with the response of cells in contact with it. The use of predictive models can facilitate the rational design of new bio-interfaces.
生物材料的表面特性，如化学性质和形态，在调节细胞行为方面起着重要作用，因此对生物医学应用的高性能设备的开发产生影响，例如组织工程支架和药物递送系统。经过适当设计的微米和纳米结构提供了一种控制细胞与生物材料相互作用的独特方式。本综述讨论了当前关于使用静电纺丝（在施加电场时挤出聚合物纳米纤维）作为制造微米和纳米级分辨率图案的有效技术的研究以及相应的生物学研究。重点是形态学线索的影响，包括静电纺丝垫的纤维排列、孔隙率和表面粗糙度，以引导细胞迁移并影响细胞粘附、分化和增殖。实验研究与预测生物材料表面组成与与之接触的细胞反应之间关系的计算模型相结合。预测模型的使用可以促进新型生物界面的合理设计。
