项目名称: 种植体表面PDGF-BB共价修饰的TiO2纳米管集束样梯度形貌的构建及其成骨功能的研究
项目编号: No.81501599
项目类型: 青年科学基金项目
立项/批准年度: 2016
项目学科: 医药、卫生
项目作者: 马千里
作者单位: 中国人民解放军第四军医大学
项目金额: 18万元
中文摘要: 对纯钛种植体材料进行表面形貌改性有利于获得更好的种植体-骨结合,然而单纯对材料表面进行微米或纳米级形貌改性无法获得最优的成骨功效。从模拟天然骨组织微结构的角度出发,在种植体表面构建出高度仿生化的纳-微米梯度形貌,并在其上进行的生物活性因子的定向修饰,有望大幅促进种植体的成骨功能并进一步提高预后疗效。基于我们前期研究结果,本项目首先通过优化阳极氧化制备工艺,在纯钛表面制备出由TiO2纳米管自发聚集而成的高度仿生化的集束样微-纳米梯度形貌,并在其上进行PDGF-BB的共价修饰,通过体内/外研究将具有最佳成骨功能的种植体表面处理方略筛选出来并进行比格犬体内验证。通过本项目能够获得一种纯钛种植体表面仿生化复合涂层的制备工艺,揭示并明确种植体表面形貌改性和生物学修饰在种植体周围骨形成过程中的作用及其相关性,从复合定向改性这一角度深入理解并指导种植体材料的表面的设计与构建。
中文关键词: 二氧化钛;纳米管;共价修饰;骨髓间充质干细胞;成骨分化
英文摘要: Surface topographical modification improves the performance of Ti implant. Application of micro-topographical or nano-topographical modification respectively may not be sufficient to achieve ideal bone-implant integration. According to the micro-structure of natural bone tissue, the fabrication of biomimic hierarchical micro/nano-topography on Ti implant, which is additionally modified by specific bio-active factors, may largely enhance the osteogenic functions of Ti implant and further improve the clinic outcome of implant. Based on our previous work, present project tries to optimize the anodization technologies to fabricate a biomimic clustered hierarchical micro/nano-topography on Ti implant, which is self-assembled by TiO2 nanotubes and further treated by PDGF-BB covalent modification. The optimized strategy of implant surface modification is screened and then, confirmed by in-vivo experiments in beagles. The project will provide a technology for preparing a compound biomimic surface coating on Ti implant, and will clarify the functions and relationships of surface topographical modification and biological modification during the bone formation around implant. Also, the results of this project will help to understand and guide the design & fabrication of the implantable materials surface structure on the viewpoint of compound customed modification.
英文关键词: titania;nanotube;covalent modification;bone marrow mesenchymal stem cells;osteogenic differentiation