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

Frits F.B. Hulshof; Bernke Papenburg; Aliaksei Vasilevich; Marc Hulsman; Yiping Zhao; Marloes Levers; Natalie Fekete; Meint de Boer; Huipin Yuan; Shantanu Singh; Nick Beijer; Mark Anthony Bray; David J. Logan; Marcel Reinders; Anne E. Carpenter; Clemens van Blitterswijk; Dimitrios Stamatialis; Jan de Boer

doi:10.1016/j.biomaterials.2017.05.020

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

Frits F.B. Hulshof, Bernke Papenburg, Aliaksei Vasilevich, Marc Hulsman, Yiping Zhao, Marloes Levers, Natalie Fekete, Meint de Boer, Huipin Yuan, Shantanu Singh, Nick Beijer, Mark Anthony Bray, David J. Logan, Marcel Reinders, Anne E. Carpenter, Clemens van Blitterswijk, Dimitrios Stamatialis, Jan de Boer

Research output: Contribution to journal › Article › Academic › peer-review

61 Citations (Scopus)

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.

Original language	English
Pages (from-to)	49-60
Number of pages	12
Journal	Biomaterials
Volume	137
DOIs	https://doi.org/10.1016/j.biomaterials.2017.05.020
Publication status	Published - 1 Aug 2017
Externally published	Yes

Keywords

Surface topography
High-throughput screening
Bone implants
Differentiation
Micro-fabrication
Computational modeling
Rabbits
Tissue Engineering/methods
Cell Proliferation
Osteogenesis/physiology
Humans
Bone Substitutes
Cells, Cultured
Nanostructures
Titanium/chemistry
Cell Adhesion
Animals
Mesenchymal Stem Cells/physiology
Computer Simulation
Surface Properties
Female
Tissue Scaffolds/chemistry
Bone Regeneration/physiology
Mechanical Phenomena

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10.1016/j.biomaterials.2017.05.020

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Hulshof, F. F. B., Papenburg, B., Vasilevich, A., Hulsman, M., Zhao, Y., Levers, M., Fekete, N., de Boer, M., Yuan, H., Singh, S., Beijer, N., Bray, M. A., Logan, D. J., Reinders, M., Carpenter, A. E., van Blitterswijk, C., Stamatialis, D., & de Boer, J. (2017). Mining for osteogenic surface topographies: in silico design to in vivo osseo-integration. Biomaterials, 137, 49-60. https://doi.org/10.1016/j.biomaterials.2017.05.020

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title = "Mining for osteogenic surface topographies: in silico design to in vivo osseo-integration",

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 = "Surface topography, High-throughput screening, Bone implants, Differentiation, Micro-fabrication, Computational modeling, Rabbits, Tissue Engineering/methods, Cell Proliferation, Osteogenesis/physiology, Humans, Bone Substitutes, Cells, Cultured, Nanostructures, Titanium/chemistry, Cell Adhesion, Animals, Mesenchymal Stem Cells/physiology, Computer Simulation, Surface Properties, Female, Tissue Scaffolds/chemistry, Bone Regeneration/physiology, Mechanical Phenomena",

author = "Hulshof, {Frits F.B.} and Bernke Papenburg and Aliaksei Vasilevich and Marc Hulsman and Yiping Zhao and Marloes Levers and Natalie Fekete and {de Boer}, Meint and Huipin Yuan and Shantanu Singh and Nick Beijer and Bray, {Mark Anthony} and Logan, {David J.} and Marcel Reinders and Carpenter, {Anne E.} and {van Blitterswijk}, Clemens and Dimitrios Stamatialis and {de Boer}, Jan",

year = "2017",

month = aug,

day = "1",

doi = "10.1016/j.biomaterials.2017.05.020",

language = "English",

volume = "137",

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Hulshof, FFB, Papenburg, B, Vasilevich, A, Hulsman, M, Zhao, Y, Levers, M, Fekete, N, de Boer, M, Yuan, H, Singh, S, Beijer, N, Bray, MA, Logan, DJ, Reinders, M, Carpenter, AE, van Blitterswijk, C, Stamatialis, D & de Boer, J 2017, 'Mining for osteogenic surface topographies: in silico design to in vivo osseo-integration', Biomaterials, vol. 137, pp. 49-60. https://doi.org/10.1016/j.biomaterials.2017.05.020

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

AU - Vasilevich, Aliaksei

AU - Hulsman, Marc

AU - Zhao, Yiping

AU - Levers, Marloes

AU - Fekete, Natalie

AU - de Boer, Meint

AU - Yuan, Huipin

AU - Singh, Shantanu

AU - Beijer, Nick

AU - Bray, Mark Anthony

AU - Logan, David J.

AU - Reinders, Marcel

AU - Carpenter, Anne E.

AU - van Blitterswijk, Clemens

AU - Stamatialis, Dimitrios

AU - de Boer, Jan

PY - 2017/8/1

Y1 - 2017/8/1

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 - Surface topography

KW - High-throughput screening

KW - Bone implants

KW - Differentiation

KW - Micro-fabrication

KW - Computational modeling

KW - Rabbits

KW - Tissue Engineering/methods

KW - Cell Proliferation

KW - Osteogenesis/physiology

KW - Humans

KW - Bone Substitutes

KW - Cells, Cultured

KW - Nanostructures

KW - Titanium/chemistry

KW - Cell Adhesion

KW - Animals

KW - Mesenchymal Stem Cells/physiology

KW - Computer Simulation

KW - Surface Properties

KW - Female

KW - Tissue Scaffolds/chemistry

KW - Bone Regeneration/physiology

KW - Mechanical Phenomena

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

C2 - 28535442

SN - 0142-9612

VL - 137

SP - 49

EP - 60

JO - Biomaterials

JF - Biomaterials

ER -

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

Abstract

Keywords

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