Biomimetic Multichannel Silk Nerve Conduits With Multicellular Spatiotemporal Distributions for Spinal Cord Injury Repair.
Tao YuanWenzhao LiMinyu ZhouXiaocheng WangBing WangYuan Jin ZhaoPublished in: Advanced materials (Deerfield Beach, Fla.) (2024)
Bioengineered nerve conduits have shown great promise for spinal cord injury (SCI) repair, while their practical values are limited by poor regenerative efficacy and lack of multi-level structural design. Here, inspired by the ingenious anatomy of natural spinal cords, a biomimetic multichannel silk nerve conduit (namely BNC@MSCs/SCs) with multicellular spatiotemporal distributions for effective SCI repair is presented. The biomimetic silk nerve conduit (BNC) with hierarchical channels and aligned pore structures is prepared via a modified directional freeze-casting strategy. Such hierarchical structures provide appropriate space for the mesenchymal stem cells (MSCs) and Schwann cells (SCs) settled in specific channels, which contributes to the generation of BNC@MSCs/SCs resembling the cellular spatiotemporal distributions of natural spinal cords. The in vitro results reveal the facilitated SC migration and MSC differentiation in such BNC@MSCs/SCs multicellular system, which further promotes the tube formation and cell migration of endothelial cells as well as M2 polarization of macrophages. Moreover, BNC@MSCs/SCs can effectively promote the tissue repair and function recovery in SCI rats by attenuating glial scar formation while promoting neuron regeneration and myelin sheath reconstruction. Thus, it is believed that the biomimetic multichannel silk nerve conduits with multicellular spatiotemporal distributions are valuable for SCI repair and other neural tissue regeneration.
Keyphrases
- mesenchymal stem cells
- spinal cord injury
- tissue engineering
- umbilical cord
- spinal cord
- peripheral nerve
- wound healing
- neuropathic pain
- stem cells
- cell migration
- bone marrow
- endothelial cells
- high resolution
- induced apoptosis
- gene expression
- multiple sclerosis
- mass spectrometry
- cell proliferation
- signaling pathway
- machine learning