Biological Response to Macroporous Chitosan-Agarose Bone Scaffolds Comprising Mg- and Zn-Doped Nano-Hydroxyapatite.

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ID: 19888
2019
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Abstract
Modification of implantable scaffolds with magnesium and zinc for improvement of bone regeneration is a growing trend in the engineering of biomaterials. The aim of this study was to synthesize nano-hydroxyapatite substituted with magnesium (Mg) (HA-Mg) and zinc (Zn) (HA-Zn) ions in order to fabricate chitosan-agarose-hydroxyapatite (HA) scaffolds (chit/aga/HA) with improved biocompatibility. Fabricated biomaterials containing Mg or Zn were tested using osteoblasts and mesenchymal stem cells to determine the effect of incorporated metal ions on cell adhesion, spreading, proliferation, and osteogenic differentiation. The study was conducted in direct contact with the scaffolds (cells were seeded onto the biomaterials) and using fluid extracts of the materials. It demonstrated that incorporation of Mg ions into chit/aga/HA structure increased spreading of the osteoblasts, promoted cell proliferation on the scaffold surface, and enhanced osteocalcin production by mesenchymal stem cells. Although biomaterial containing Zn did not improve cell proliferation, it did enhance type I collagen production by mesenchymal stem cells and extracellular matrix mineralization as compared to cells cultured in a polystyrene well. Nevertheless, scaffolds made of pure HA gave better results than material with Zn. Results of the experiments clearly showed that modification of the chit/aga/HA scaffold with Zn did not have any positive impact on cell behavior, whereas, incorporation of Mg ions into its structure may significantly improve biocompatibility of the resultant material, increasing its potential in biomedical applications.
Reference Key
kazimierczak2019biologicalinternational Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Kazimierczak, Paulina;Kolmas, Joanna;Przekora, Agata;
Journal International journal of molecular sciences
Year 2019
DOI
E3835
URL
Keywords
energy efficiency Wireless sensor networks evolutionary game game theory

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