Cytocompatibility of Potential Bioactive Cerium-Doped Glasses based on 45S5.
Gianluca MalavasiRoberta SalvatoriAlfonso ZambonGigliola LusvardiLuca RigamontiLuigi ChiariniAlexandre AnesiPublished in: Materials (Basel, Switzerland) (2019)
The cytocompatibility of potential bioactive cerium-containing (Ce3+/Ce4+) glasses is here investigated by preparing three different glasses with increasing amount of doping CeO₂ (1.2, 3.6 and 5.3 mol% of CeO₂, called BG_1.2, BG_3.6 and BG_5.3, respectively) based on 45S5 Bioglass® (called BG). These materials were characterized by Environmental Scanning Electron Microscopy (ESEM) and infrared spectroscopy (FTIR) after performing bioactivity tests in Dulbecco's Modified Eagle Medium (DMEM) solution, and the ions released in solution were determined by Inductively Coupled Plasma Mass Spectrometry (ICP-MS) and Optical Emission Spectrometry (ICP-OES). The data obtained clearly show that the glass surfaces of BG, BG_1.2 and BG_3.6 were covered by hydroxyapatite (HA), while BG_5.3 favored the formation of a cerium phosphate crystal phase. The cytotoxicity tests were performed using both murine long bone osteocyte-like (MLO-Y4) and mouse embryonic fibroblast (NIH/3T3) cell lines. The cerium-containing bioactive glasses show an increment in cell viability with respect to BG, and at long times, no cell aggregation and deformation were observed. The proliferation of NIH/3T3 cells increased with the cerium content in the glasses; in particular, BG_3.6 and BG_5.3 showed a higher proliferation of cells than the negative control. These results highlight and enforce the proposal of cerium-doped bioactive glasses as a new class of biomaterials for hard-tissue applications.
Keyphrases
- mass spectrometry
- oxide nanoparticles
- high resolution
- electron microscopy
- quantum dots
- multiple sclerosis
- signaling pathway
- stem cells
- escherichia coli
- electronic health record
- tissue engineering
- high performance liquid chromatography
- deep learning
- bone marrow
- big data
- cell cycle arrest
- machine learning
- cell therapy
- data analysis
- pi k akt
- visible light
- solid phase extraction