Cellular Response to Surface Morphology: Electrospinning and Computational Modeling.
Cellular Response to Surface Morphology: Electrospinning and Computational Modeling.
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DOI：
10.3389/fbioe.2018.00155
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发表时间：
2018
影响因子：
5.7
通讯作者：
Mele E
中科院分区：
文献类型：
--
作者：
Denchai A;Tartarini D;Mele E
生物材料的表面性质，如化学和形态学，在调节细胞行为中起着重要作用，因此对生物医学应用的高性能设备的开发产生影响，如组织工程支架和药物输送系统。精心设计的微米和纳米结构提供了一种控制细胞-生物材料相互作用的独特方式。这篇简短的综述讨论了目前使用静电纺丝（在电场的作用下挤出聚合物纳米纤维）作为制造微米和纳米尺度分辨率图案的有效技术的研究，以及相应的生物学研究。重点是形态线索的影响，包括纤维排列，多孔性和表面粗糙度的静电纺丝毡，直接细胞迁移和影响细胞粘附，分化和增殖。实验研究与计算模型相结合，预测和相关的生物材料的表面组成与细胞的反应与它接触。使用预测模型可以促进新的生物界面的合理设计。
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.