Biological Effects of Different Thin Layer Hydroxyapatite Coatings on Anodized Titanium

  • Sohn, Sung-Hwa (Department of Biochemistry & Molecular Biology, Korea University) ;
  • Jun, Hye-Kyoung (Department of Dentistry, College of Medicine, Korea University) ;
  • Kim, Chang-Su (Department of Dentistry, College of Medicine, Korea University) ;
  • Kim, Ki-Nam (Department of Biochemistry & Molecular Biology, Korea University) ;
  • Ryu, Yeon-Mi (Department of Biochemistry & Molecular Biology, Korea University) ;
  • Lee, Seung-Ho (Department of Biochemistry & Molecular Biology, Korea University) ;
  • Kim, Yu-Ri (Department of Biochemistry & Molecular Biology, Korea University) ;
  • Seo, Sang-Hui (Department of Biochemistry & Molecular Biology, Korea University) ;
  • Kim, Hye-Won (Department of Biochemistry & Molecular Biology, Korea University) ;
  • Shin, Sang-Wan (Department of Dentistry, College of Medicine, Korea University) ;
  • Ryu, Jae-Jun (Department of Dentistry, College of Medicine, Korea University) ;
  • Kim, Meyoung-Kon (Department of Biochemistry & Molecular Biology, Korea University)
  • Published : 2005.12.30

Abstract

Several features of the implant surface, such as roughness, topography, and composition play a relevant role in implant integration with bone. This study was conducted in order to determine the effects of various thin layer hydroxyapatite (HA) coatings on anodized Ti surfaces on the biological responses of a human osteoblast-like cell line (MG63). MG63 cells were cultured on A (100 nm HA coating on anodized surface), B (500-700 nm HA coating on anodized surface), C ($1{\mu}m$ HA coating on anodized surface), and control (non HA coating on anodized surface) Ti. The morphology of these cells was assessed by SEM. The cDNAs prepared from the total RNAs of the MG63 were hybridized into a human cDNA microarray (1,152 elements). The appearances of the surfaces observed by SEM were different on each of the four dental substrate types. MG63 cells cultured on A, C and control exhibited cell-matrix interactions. It was B surface showing cell-cell interaction. In the expression of several genes were up-, and down-regulated on the different surfaces. The attachment and expression of key osteogenic regulatory genes were enhanced by the surface morphology of the dental materials used.

Keywords

References

  1. Hornez, J.C., et al., Multiple parameter cytotoxicitymindex on dental alloys and pure metals. Biomol. Eng. 19(2-6), 103-117 (2002) https://doi.org/10.1016/S1389-0344(02)00017-5
  2. Hallab, N.J. et al. Effects of soluble metals on human peri-implant cells. J. Biomed. Mater. Res. A. 74(1), 124-140 (2005)
  3. Shah, A.K., et al. High-resolution morphometric analysis of human osteoblastic cell adhesion on clinically relevant orthopedic alloys. Bone. 24(5) 499-506 (1999) https://doi.org/10.1016/S8756-3282(99)00077-0
  4. Cooper, L.F. et al. Incipient analysis of mesenchymal stem-cell-derived osteogenesis. J. Dent. Res. 80(1), 314-320 (2001) https://doi.org/10.1177/00220345010800010401
  5. Carinci, F. et al. Titanium-cell interaction: analysis of gene expression profiling. J. Biomed. Mater. Res. 66B (1), 341-346 (2003) https://doi.org/10.1002/jbm.b.10021
  6. Viornery, C. et al. Osteoblast culture on polished titanium disks modified with phosphonic acids. J. Biomed. Mater. Res. 62(1), 149-155 (2002) https://doi.org/10.1002/jbm.10205
  7. Son, W.W. et al. In vivo histological response to anodized and anodized/hydrothermally treated titanium implants. J. Biomed. Mater. Res. B Appl. Biomater, 66(2), 520-525 (2003)
  8. Li, L.H. et al. Biocompatibility of titanium implants modified by microarc oxidation and hydroxyapatite coating. J. Biomed. Mater. Res. A. 73(1), 48-54 (2005)
  9. Kim, H.K., Jang, J.W. & Lee, C.H. Surface modification of implant materials and its effect on attachment and proliferation of bone cells. J. Mater. Sci. Mater.Med. 15(7), 825-830 (2004) https://doi.org/10.1023/B:JMSM.0000032824.62866.a1
  10. Ogawa, T., Sukotjo, C. & Nishimura, I. Modulated bone matrix-related gene expression is associated with differences in interfacial strength of different implant surface roughness. J. Prosthodont. 11(4), 241-247 (2002) https://doi.org/10.1053/jopr.2002.129772
  11. Schneider, G.B. et al. Implant surface roughness affects osteoblast gene expression. J. Dent. Res. 82(5), 372-376 (2003) https://doi.org/10.1177/154405910308200509
  12. Carinci, F. et al. Zirconium oxide: analysis of MG63 osteoblast-like cell response by means of a microarray technology. Biomaterials. 25(2), 215-228 (2004) https://doi.org/10.1016/S0142-9612(03)00486-1
  13. Orsini, G. et al. Surface analysis of machined versus sandblasted and acid-etched titanium implants. Int. J. Oral Maxillofac Implants. 15(6), 779-784 (2000)
  14. Son, W.W. et al. In vivo histological response to anodized and anodized/hydrothermally treated titanium implants. J. Biomed. Mater. Res. B Appl. Biomater. 66(2), 520-525 (2003)
  15. Ogawa, T. & Nishimura, I. Different bone integration profiles of turned and acid-etched implants associated with modulated expression of extracellular matrix genes. Int J Oral Maxillofac Implant. 18(2), 200-210 (2003)
  16. Carinci, F. et al. Analysis of osteoblast-like MG63 cells' response to a rough implant surface by means of DNA microarray. J. Oral Implantol. 29(5), 215-220 (2003) https://doi.org/10.1563/1548-1336(2003)029<0215:AOOMCR>2.3.CO;2
  17. Gopal, J. et al. Photocatalytic inhibition of microbial adhesion by anodized titanium. Biofouling. 20(3), 167-175 (2004) https://doi.org/10.1080/08927010400008563
  18. Monsees, T.K. et al. Effects of different titanium alloys and nanosize surface patterning on adhesion, differentiation, and orientation of osteoblast-like cells. Cells Tissues Organs. 180(2), 81-95 (2005) https://doi.org/10.1159/000086749
  19. Carinci, F., et al., Analysis of MG63 osteoblastic-cell response to a new nanoporous implant surface by means of a microarray technology. Clin. Oral Implants Res. 15(2), 180-186 (2004) https://doi.org/10.1111/j.1600-0501.2004.00997.x
  20. Lossdorfer, S. et al. Microrough implant surface topographies increase osteogenesis by reducing osteoclast formation and activity. J. Biomed. Mater. Res. 70A(3), 361-369 (2004) https://doi.org/10.1002/jbm.a.30025
  21. Chaudhary, L.R., Hofmeister, A.M. & Hruska, K.A. Differential growth factor control of bone formation through osteoprogenitor differentiation. Bone. 34(3), 402-411 (2004) https://doi.org/10.1016/j.bone.2003.11.014
  22. Kim et al. Effect of various implant coatings on biological responses in MG63 using cDNA microarray. J. Oral Rehabil. In press (2005)
  23. Mustafa, K. et al. Determining optimal surface roughness of TiO (2) blasted titanium implant material for attachment, proliferation and differentiation of cells derived from human mandibular alveolar bone. Clin. Oral Implants Res. 12(5), 515-525 (2001) https://doi.org/10.1034/j.1600-0501.2001.120513.x
  24. Mosmann, T. Rapid colorimetric assay for cellular growth and survival: application to proliferation and cytotoxicity assays. J. Immunol. Methods. 65(1-2), 55- 63 (1983) https://doi.org/10.1016/0022-1759(83)90303-4
  25. Taira, M. et al. Effects of two vitamins, two growth factors and dexamethasone on the proliferation of rat bone marrow stromal cells and osteoblastic MC3T3-on E1 cells. J. Oral Rehabil. 30(7), 697-701 (2003) https://doi.org/10.1046/j.1365-2842.2003.01118.x
  26. DeRisi, J. et al. Use of a cDNA microarray to analyse gene expression patterns in human cancer. Nat. Genet.14(4), 457-460 (1996). https://doi.org/10.1038/ng1296-457
  27. Vawter, M.P. et al. Application of cDNA microarrays to examine gene expression differences in schizophrenia. Brain Res. Bull. 55(5), 641-650 (2001) https://doi.org/10.1016/S0361-9230(01)00522-6
  28. Park, G.H. et al. Genome-wide expression profiling of 8-chloroadenosine- and 8-chloro-cAMP-treated human neuroblastoma cells using radioactive human cDNA microarray. Exp. Mol. Med. 34(3), 184-193 (2002) https://doi.org/10.1038/emm.2002.27
  29. Tanaka, T.S. et al. Genome-wide expression profiling of mid-gestation placenta and embryo using a 15,000 mouse developmental cDNA microarray. Proc. Natl. Acad. Sci. U S A. 97(16), 9127-9132 (2000) https://doi.org/10.1073/pnas.97.16.9127
  30. Eisen, M.B. et al. Cluster analysis and display of genome-wide expression patterns. Proc. Natl. Acad. Sci. U S A. 95(25), 14863-14868 (1998) https://doi.org/10.1073/pnas.95.25.14863