Multi Scaffold 3d-bioprinted Model of Spinal Cord Architecture in Vitro
Year: 2025
Type: article
Abstract: Recreating physiologically relevant spinal cord models in vitro requires not only appropriate cell types but also structural and topographical cues that mimic native tissue. While 2D cultures fail to reproduce the spatial complexity of the central nervous system, 3D bioprinting strategies enable more realistic neural microenvironments. We aim to develop a 3D spinal cord model by combining murine cell lines or human stem cell–derived neural progenitors with a multi-material scaffold system. Murine neuronal/astrocytic (NE-4C) and motor neuron-like (NSC-34) cells were embedded in gelatin methacrylate (GelMA) hydrogels and layered on aligned polycaprolactone (PCL) microfibers produced by Melt Electrowriting via extrusion-based bioprinting. The matrix supported long-term viability, proliferation, and differentiation: neuronal (MAP2, βIII-tubulin) and glial (GFAP) markers increased progressively over 14-21-28 days in vitro (DIV), confirmed by immunofluorescence and western blot, and spontaneous network activity was detected through calcium imaging. In parallel, human neural progenitor cells (NPCs) derived from induced pluripotent stem cells (iPSCs) were successfully differentiated and later cultured within a composite hydrogel composed of GelMA and Geltrex for 7, 10, and 14 DIV. The NPCs expressed SOX2 and nestin, confirming their neural progenitor identity, and exhibited a characteristic rosette- like morphological organization, indicative of early neuroepithelial architecture. Over time, they showed high viability and progressive neuronal maturation, with MAP2, βIIItubulin, and synapsin expression suggesting neuronal interconnection and emerging network formation. This preliminary 3D system might represent a versatile and biomimetic platform for modeling spinal cord structure and function, with translational potential for studies on spinal cord injury, neurodegeneration, and physiologically relevant drug screening. The work was supported by Fondazione CRT and the European Union – Next Generation EU within the PRIN 2022 program (D.D. 104 – 02/02/2022, Ministero dell’Università e della Ricerca).
Author: Neuroscience Institute Cavalieri Ottolenghi
Institutions: Politecnico di Torino, University of Turin
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,024
OpenAlex ID: W7114924115
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