Mining for osteogenic surface topographies: In silico design to in vivo osseo-integration. (August 2017)

• Record Type: Journal Article
• Authors: Hulshof, Frits F.B.; Papenburg, Bernke; Vasilevich, Aliaksei; Hulsman, Marc; Zhao, Yiping; Levers, Marloes; Fekete, Natalie; de Boer, Meint; Yuan, Huipin; Singh, Shantanu; Beijer, Nick; Bray, Mark-Anthony; Logan, David J.; Reinders, Marcel; Carpenter, Anne E.; van Blitterswijk, Clemens; Stamatialis, Dimitrios; de Boer, Jan
• Is Part Of: Biomaterials. Volume 137(2017)
• Page Start: 49
• Page End: 60
• Publication Date: 2017-08
• Subjects: Surface topography -- High-throughput screening -- Bone implants -- Differentiation -- Micro-fabrication -- Computational modeling; Biomedical materials -- Periodicals; Biocompatible Materials -- Periodicals; Biomatériaux -- Périodiques; 610.28
• DOI: 10.1016/j.biomaterials.2017.05.020
• Languages: English
• ISSNs: 0142-9612

Abstract

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.