Exploring Schwann Cell Behavior on Electrospun Polyhydroxybutyrate Scaffolds with Varied Pore Sizes and Fiber Thicknesses: Implications for Neural Tissue Engineering.
María Florencia LezcanoPaulina Martínez-RodríguezKarina GodoyJeyson HermosillaFrancisca AcevedoIván Emilio GareisFernando José DiasPublished in: Polymers (2023)
The placement of a polymeric electrospun scaffold is among the most promising strategies to improve nerve regeneration after critical neurotmesis. It is of great interest to investigate the effect of these structures on Schwann cells (SCs), as these cells lead nerve regeneration and functional recovery. The aim of this study was to assess SC viability and morphology when cultured on polyhydroxybutyrate (PHB) electrospun scaffolds with varied microfiber thicknesses and pore sizes. Six electrospun scaffolds were obtained using different PHB solutions and electrospinning parameters. All the scaffolds were morphologically characterized in terms of fiber thickness, pore size, and overall appearance by analyzing their SEM images. SCs seeded onto the scaffolds were analyzed in terms of viability and morphology throughout the culture period through MTT assay and SEM imaging. The SCs were cultured on three scaffolds with homogeneous smooth fibers (fiber thicknesses: 2.4 μm, 3.1 μm, and 4.3 μm; pore sizes: 16.7 μm, 22.4 μm, and 27.8 μm). SC infiltration and adhesion resulted in the formation of a three-dimensional network composed of intertwined fibers and cells. The SCs attached to the scaffolds maintained their characteristic shape and size throughout the culture period. Bigger pores and thicker fibers resulted in higher SC viability.
Keyphrases
- tissue engineering
- induced apoptosis
- cell cycle arrest
- stem cells
- peripheral nerve
- high resolution
- endothelial cells
- deep learning
- oxidative stress
- cell death
- signaling pathway
- high throughput
- endoplasmic reticulum stress
- optical coherence tomography
- escherichia coli
- mesenchymal stem cells
- machine learning
- cystic fibrosis
- wound healing
- convolutional neural network
- candida albicans
- cell adhesion