Induction of Osteogenic Differentiation of Adipose Derived Stem Cells by Microstructured Nitinol Actuator-Mediated Mechanical Stress

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Strauß, S.; Dudziak, S.; Hagemann, R.; Barcikowski, S.; Fliess, M.; Israelowitz, M. et al.: Induction of Osteogenic Differentiation of Adipose Derived Stem Cells by Microstructured Nitinol Actuator-Mediated Mechanical Stress. In: PLoS ONE 7 (2012), Nr. 12, e51264. DOI: https://doi.org/10.1371/journal.pone.0051264

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/4608

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Sum total of downloads: 107




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Abstract: 
The development of large tissue engineered bone remains a challenge in vitro, therefore the use of hybrid-implants might offer a bridge between tissue engineering and dense metal or ceramic implants. Especially the combination of the pseudoelastic implant material Nitinol (NiTi) with adipose derived stem cells (ASCs) opens new opportunities, as ASCs are able to differentiate osteogenically and therefore enhance osseointegration of implants. Due to limited knowledge about the effects of NiTi-structures manufactured by selective laser melting (SLM) on ASCs the study started with an evaluation of cytocompatibility followed by the investigation of the use of SLM-generated 3-dimensional NiTi-structures preseeded with ASCs as osteoimplant model. In this study we could demonstrate for the first time that osteogenic differentiation of ASCs can be induced by implant-mediated mechanical stimulation without support of osteogenic cell culture media. By use of an innovative implant design and synthesis via SLM-technique we achieved high rates of vital cells, proper osteogenic differentiation and mechanically loadable NiTi-scaffolds could be achieved.
License of this version: CC BY 3.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2012
Appears in Collections:An-Institute

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pos. country downloads
total perc.
1 image of flag of Germany Germany 46 42.99%
2 image of flag of United States United States 21 19.63%
3 image of flag of China China 9 8.41%
4 image of flag of Russian Federation Russian Federation 4 3.74%
5 image of flag of South Africa South Africa 3 2.80%
6 image of flag of No geo information available No geo information available 3 2.80%
7 image of flag of United Kingdom United Kingdom 3 2.80%
8 image of flag of France France 2 1.87%
9 image of flag of Czech Republic Czech Republic 2 1.87%
10 image of flag of Switzerland Switzerland 2 1.87%
    other countries 12 11.21%

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