Synergistic effects of bioactive ions and micro/nano-topography on the attachment, proliferation and differentiation of murine osteoblasts (MC3T3)

Engineering and Nano-engineering Approaches for Medical Devices Original Research
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  1. Engineering and Nano-engineering Approaches for Medical Devices

Abstract

Surface topography and chemical nature of biological materials play an important role in regulating cell behaviors. For the intention of improving the biological performance of Ti6Al4V, the hierarchical micro/nano-topographies containing bioactive ions (Ca2+ and Mg2+) were fabricated in this study. Briefly, the hierarchical micro/nano-topography was constructed on Ti6Al4V surface via sandblasting, acid etching and alkali-hydrothermal treatment. Then Na+ existing in the nano-topography was replaced by Ca2+ and Mg2+ through hydrothermal reaction. The surface topographies and chemical nature of native and treated samples were characterized using laser scanning microscope, X-ray Photoelectron Spectroscopy and field emission scanning electron microscopy with the energy-dispersive spectroscopy. Surface wettability was measured with a contact angle goniometer. A series of biological tests were carried out to evaluate the synergistic effects of bioactive ions and micro/nano-topography on the attachment, proliferation and differentiation of murine osteoblastic MC3T3 cells. The results of in vitro tests indicated that Ca2+ and Mg2+ in the titanium alloy surface had an affirmative effect on cells attachment, proliferation and differentiation. Cells grown onto micro/nano-structured surface with Ca2+ implantation exhibited significantly higher differentiation levels of alkaline phosphatase activity and mineralization compared to that on micro/nano-structured surface with Mg2+ implantation. This study provided a novel method to construct a favorable biological environment between tissues and implants.

Keywords

Contact Angle Surface Free Energy Cell Initial Attachment Extracellular Matrix Mineralization Titanium Alloy Surface 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Notes

Acknowledgments

This project was funded by National Natural Science Foundation of China (51575320, 51175306, 51425503), Taishan Scholar Foundation (TS20130922).

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Key Laboratory of High Efficiency and Clean Manufacturing, School of Mechanical EngineeringShandong UniversityJinanChina

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