Osteogenic differentiation of human mesenchymal stem cells in 3-D Zr-Si organic-inorganic scaffolds produced by two-photon polymerization technique

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Koroleva, A.; Deiwick, A.; Nguyen, A.; Schlie-Wolter, S.; Narayan, R. et al.: Osteogenic differentiation of human mesenchymal stem cells in 3-D Zr-Si organic-inorganic scaffolds produced by two-photon polymerization technique. In: PLoS One 10 (2015), Nr. 2, e0118164. DOI: https://doi.org/10.1371/journal.pone.0118164

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Abstract: 
Two-photon polymerization (2PP) is applied for the fabrication of 3-D Zr-Si scaffolds for bone tissue engineering. Zr-Si scaffolds with 150, 200, and 250 μm pore sizes are seeded with human bone marrow stem cells (hBMSCs) and human adipose tissue derived stem cells (hASCs) and cultured in osteoinductive and control media for three weeks. Osteogenic differentiation of hASCs and hBMSCs and formation of bone matrix is comparatively analyzed via alkaline phosphatase activity (ALP), calcium quantification, osteocalcin staining and scanning electron microscopy (SEM). It is observed that the 150 μm pore size Zr-Si scaffolds support the strongest matrix mineralization, as confirmed by calcium deposition. Analysis of ALP activity, osteocalcin staining and SEM observations of matrix mineralization reveal that mesenchymal stem cells cultured on 3-D scaffolds without osteogenic stimulation spontaneously differentiate towards osteogenic lineage. Nanoindentation measurements show that aging of the 2PP-produced Zr-Si scaffolds in aqueous or alcohol media results in an increase in the scaffold Young's modulus and hardness. Moreover, accelerated formation of bone matrix by hASCs is noted, when cultured on the scaffolds with lower Young's moduli and hardness values (non aged scaffolds) compared to the cells cultured on scaffolds with higher Young's modulus and hardness values (aged scaffolds). Presented results support the potential application of Zr-Si scaffolds for autologous bone tissue engineering.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2015
Appears in Collections:An-Institute

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1 image of flag of Germany Germany 555 75.10%
2 image of flag of United States United States 76 10.28%
3 image of flag of China China 16 2.17%
4 image of flag of Canada Canada 10 1.35%
5 image of flag of No geo information available No geo information available 7 0.95%
6 image of flag of India India 7 0.95%
7 image of flag of United Kingdom United Kingdom 5 0.68%
8 image of flag of France France 5 0.68%
9 image of flag of Taiwan Taiwan 4 0.54%
10 image of flag of Korea, Republic of Korea, Republic of 4 0.54%
    other countries 50 6.77%

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