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, Marcel Reinders, Anne E. Carpenter, Clemens van Blitterswijk, Dimitrios Stamatialis, Jan de Boer*, David J. Logan

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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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. (C) 2017 Elsevier Ltd. All rights reserved.

Original languageEnglish
Pages (from-to)49-60
Number of pages12
JournalBiomaterials
Volume137
DOIs
Publication statusPublished - Aug 2017

Keywords

  • Surface topography
  • High-throughput screening
  • Bone implants
  • Differentiation
  • Micro-fabrication
  • Computational modeling
  • MESENCHYMAL STEM-CELLS
  • HIGH-THROUGHPUT
  • HISTONE ACETYLATION
  • BIOMATERIALS
  • IMPLANTS
  • DIFFERENTIATION
  • MINERALIZATION
  • MECHANISMS
  • ATTACHMENT
  • EXPRESSION

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