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Fibrin-Polycaprolactone Scaffolds for the Differentiation of Human Neural Progenitor Cells into Dopaminergic Neurons

机译:纤维蛋白-聚己内酯支架用于人神经祖细胞分化为多巴胺能神经元

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摘要

Parkinson’s disease (PD), a progressive central nervous system disorder marked by involuntary movements, poses a significant challenge in neurodegenerative research due to the gradual degeneration of dopaminergic (DA) neurons. Early diagnosis and understanding of PD’s pathogenesis could slow disease progression and improve patient management. In vitro modeling with DA neurons derived from human-induced pluripotent stem cell-derived neural progenitor cells (NPCs) offers a promising approach. These neurons can be cultured on electrospun (ES) nanofibrous polycaprolactone (PCL) scaffolds, but PCL’s hydrophobic nature limits cell adhesion. We investigated the ability of ES PCL scaffolds coated with hydrophilic extracellular matrix-based biomaterials, including cell basement membrane proteins, Matrigel, and Fibrin, to enhance NPC differentiation into DA neurons. We hypothesized that fibrin-coated scaffolds would maximize differentiation based on fibrin’s known benefits in neuronal tissue engineering. The scaffolds both coated and uncoated were characterized using scanning electron microscopy (SEM), transmission electron microscopy, Fourier transform infrared spectroscopy-attenuated total reflectance, and dynamic mechanical analysis to assess their properties. NPCs were seeded on the coated scaffolds, differentiated, and matured into DA neurons. Immunocytochemistry targeting tyrosine hydroxylase (TH) and SEM confirmed DA neuronal differentiation and morphological changes. Electrophysiology via microelectrode array recorded their neuronal firing. Results showed enhanced neurite extension, increased TH expression, and active electrical activity in cells on fibrin-coated scaffolds. Diluted fibrin coatings particularly promoted more pronounced neuronal differentiation and maturation. This study introduces a novel tissue-on-a-chip platform for neurodegenerative disease research using DA neurons.

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