TY - JOUR
T1 - Mining for osteogenic surface topographies
T2 - In silico design to in vivo osseo-integration
AU - Hulshof, Frits F.B.
AU - Papenburg, Bernke J.
AU - Vasilevich, Aliaksei
AU - Hulsman, Marc
AU - Zhao, Yiping
AU - Levers, Marloes
AU - Fekete, Natalie
AU - de Boer, Meint
AU - Yuan, Huipin
AU - Reinders, Marcel
AU - More Authors, null
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Bone implants
KW - Computational modeling
KW - Differentiation
KW - High-throughput screening
KW - Micro-fabrication
KW - Surface topography
UR - http://www.scopus.com/inward/record.url?scp=85019837582&partnerID=8YFLogxK
U2 - 10.1016/j.biomaterials.2017.05.020
DO - 10.1016/j.biomaterials.2017.05.020
M3 - Article
AN - SCOPUS:85019837582
SN - 0142-9612
VL - 137
SP - 49
EP - 60
JO - Biomaterials
JF - Biomaterials
ER -