Mineralization of 3D Osteogenic Model Based on Gelatin-Dextran Hybrid Hydrogel Scaffold Bioengineered with Mesenchymal Stromal Cells: A Multiparametric Evaluation.
Federica ReLuciana SartoreElisa BorsaniMatteo FerroniCamilla BarattoAllia MahajnehAndrew SmithKamol DeyCamillo AlmiciPierangelo GuizziSimona BernardiGuido FagliaFulvio MagniDomenico RussoPublished in: Materials (Basel, Switzerland) (2021)
Gelatin-dextran hydrogel scaffolds (G-PEG-Dx) were evaluated for their ability to activate the bone marrow human mesenchymal stromal cells (BM-hMSCs) towards mineralization. G-PEG-Dx1 and G-PEG-Dx2, with identical composition but different architecture, were seeded with BM-hMSCs in presence of fetal bovine serum or human platelet lysate (hPL) with or without osteogenic medium. G-PEG-Dx1, characterized by a lower degree of crosslinking and larger pores, was able to induce a better cell colonization than G-PEG-Dx2. At day 28, G-PEG-Dx2, with hPL and osteogenic factors, was more efficient than G-PEG-Dx1 in inducing mineralization. Scanning electron microscopy (SEM) and Raman spectroscopy showed that extracellular matrix produced by BM-hMSCs and calcium-positive mineralization were present along the backbone of the G-PEG-Dx2, even though it was colonized to a lesser degree by hMSCs than G-PEG-Dx1. These findings were confirmed by matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI), detecting distinct lipidomic signatures that were associated with the different degree of scaffold mineralization. Our data show that the architecture and morphology of G-PEG-Dx2 is determinant and better than that of G-PEG-Dx1 in promoting a faster mineralization, suggesting a more favorable and active role for improving bone repair.
Keyphrases
- drug delivery
- bone marrow
- mass spectrometry
- mesenchymal stem cells
- tissue engineering
- extracellular matrix
- endothelial cells
- high resolution
- raman spectroscopy
- gene expression
- cell therapy
- ms ms
- stem cells
- electronic health record
- genome wide
- body composition
- liquid chromatography
- photodynamic therapy
- single cell
- postmenopausal women
- machine learning
- deep learning
- bone mineral density
- hyaluronic acid
- simultaneous determination
- capillary electrophoresis
- soft tissue