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Biomaterials. 2017 Aug;137:49-60. doi: 10.1016/j.biomaterials.2017.05.020. Epub 2017 May 12.

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

Author information

1
MIRA Institute for Biomedical Technology and Technical Medicine, Department of Biomaterials Science and Technology, University of Twente, Enschede, The Netherlands; MERLN Institute for Technology-Inspired Regenerative Medicine, Department of Cell Biology -Inspired Tissue Engineering, Maastricht, The Netherlands.
2
Materiomics BV, Maastricht, The Netherlands.
3
MERLN Institute for Technology-Inspired Regenerative Medicine, Department of Cell Biology -Inspired Tissue Engineering, Maastricht, The Netherlands.
4
Delft Bioinformatics Lab, Delft University of Technology, Delft, The Netherlands.
5
MESA+Institute for Nanotechnology, University of Twente, Enschede, The Netherlands.
6
Xpand Biotechnology BV, Bilthoven, The Netherlands.
7
Imaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
8
MERLN Institute for Technology-Inspired Regenerative Medicine, Department of Complex Tissue Regeneration, University of Maastricht, Maastricht, The Netherlands.
9
MIRA Institute for Biomedical Technology and Technical Medicine, Department of Biomaterials Science and Technology, University of Twente, Enschede, The Netherlands.
10
MERLN Institute for Technology-Inspired Regenerative Medicine, Department of Cell Biology -Inspired Tissue Engineering, Maastricht, The Netherlands. Electronic address: jan.deboer@maastrichtuniversity.nl.

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.

KEYWORDS:

Bone implants; Computational modeling; Differentiation; High-throughput screening; Micro-fabrication; Surface topography

[Indexed for MEDLINE]

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