Mu Ping, Li Yanran, Zhang Yanmei, Yang Yun, Hu Ren, Zhao Xulin, Huang Anhua, Zhang Ruofan, Liu Xiangyang, Huang Qiaoling, Lin Changjian
Shenzhen Research Institute of Xiamen University, Shenzhen 518057, China.
Department of Physics, National University of Singapore, 2 Science Drive 3, Singapore 117542, Singapore.
ACS Biomater Sci Eng. 2018 Aug 13;4(8):2804-2814. doi: 10.1021/acsbiomaterials.8b00488. Epub 2018 Jul 9.
The dimension of TiO nanotubes (TNTs) ranges from several nanometers to hundreds of nanometers. This variety raises the difficulty of screening suitable nanotube dimension for biomedical applications. Herein, we report the use of a simple one-step bipolar anodization method for fabrication of TNT gradients with diameter range from 30 to 100 nm. The gradient TNTs were successfully applied for high-throughput screening of TNT size effect on cell responses, including cell adhesion, proliferation, and differentiation. Results reveal that no significant difference in adherent cell number could be found within the range of 30-87 nm in both the presence and absence of serum proteins. On the contrary, large nanotubes (with outer diameter >87 nm) profoundly reduce cell adhesion in both the presence and absence of serum proteins, indicating TNT size could affect cell adhesion directly without the adsorbed proteins. The size effect on cell behavior becomes prominent with time that cell proliferation and differentiation decrease with increasing nanotube size. This size effect can be comprehended by protein adsorption and the formation of focal adhesion. Another two sample applications of gradient TNTs demonstrate gradient TNTs are promising for high-throughput screening.
二氧化钛纳米管(TNTs)的尺寸范围从几纳米到几百纳米不等。这种多样性增加了为生物医学应用筛选合适纳米管尺寸的难度。在此,我们报道了一种使用简单的一步双极阳极氧化法制备直径范围为30至100nm的TNT梯度的方法。梯度TNTs成功应用于高通量筛选TNT尺寸对细胞反应的影响,包括细胞粘附、增殖和分化。结果表明,在有和没有血清蛋白的情况下,在30 - 87nm范围内,贴壁细胞数量没有显著差异。相反,大尺寸纳米管(外径>87nm)在有和没有血清蛋白的情况下都显著降低细胞粘附,表明TNT尺寸可直接影响细胞粘附,而无需吸附蛋白。随着时间的推移,尺寸对细胞行为的影响变得显著,细胞增殖和分化随着纳米管尺寸的增加而减少。这种尺寸效应可以通过蛋白质吸附和粘着斑的形成来理解。梯度TNTs的另外两个样品应用表明梯度TNTs在高通量筛选方面很有前景。