Osteosphere Model to Evaluate Cell-Surface Interactions of Implantable Biomaterials.
Ana Carolina Batista BrochadoVictor Hugo de SouzaJoice CorreaSuzana Azevedo Dos AnjosCarlos Fernando de Almeida Barros MourãoAngelo CardarelliPietro MontemezziVinicius Schott GameiroMariana Rodrigues PereiraElena MavropoulosGutemberg Gomes AlvesPublished in: Materials (Basel, Switzerland) (2021)
Successful biomaterials for bone tissue therapy must present different biocompatible properties, such as the ability to stimulate the migration and proliferation of osteogenic cells on the implantable surface, to increase attachment and avoid the risks of implant movement after surgery. The present work investigates the applicability of a three-dimensional (3D) model of bone cells (osteospheres) in the evaluation of osteoconductive properties of different implant surfaces. Three different titanium surface treatments were tested: machined (MA), sandblasting and acid etching (BE), and Hydroxyapatite coating by plasma spray (PSHA). The surfaces were characterized by Scanning Electron Microscopy (SEM) and atomic force microscopy (AFM), confirming that they present very distinct roughness. After seeding the osteospheres, cell-surface interactions were studied in relation to cell proliferation, migration, and spreading. The results show that BE surfaces present higher densities of cells, leaving the aggregates towards than titanium surfaces, providing more evidence of migration. The PSHA surface presented the lowest performance in all analyses. The results indicate that the 3D model allows the focal analysis of an in vitro cell/surfaces interaction of cells and surfaces. Moreover, by demonstrating the agreement with the clinical data observed in the literature, they suggest a potential use as a predictive preclinical tool for investigating osteoconductive properties of novel biomaterials for bone therapy.
Keyphrases
- induced apoptosis
- cell cycle arrest
- cell surface
- cell proliferation
- atomic force microscopy
- biofilm formation
- bone regeneration
- bone mineral density
- endoplasmic reticulum stress
- soft tissue
- oxidative stress
- cell therapy
- drug delivery
- risk assessment
- pseudomonas aeruginosa
- mass spectrometry
- electronic health record
- single cell
- pi k akt
- single molecule
- cystic fibrosis
- body composition
- staphylococcus aureus
- artificial intelligence
- big data
- candida albicans