The limited regenerative capacity of the nervous system represents a significant clinical challenge in the context of peripheral nerve injuries. An innovative strategy for sciatic nerve repair has been developed using tissue-engineered nerve grafts (TENGs) composed of skin-derived precursor Schwann-like cells (SKP-SCs) and a silk fibroin-chitosan scaffold. However, the reason why SKP-SCs-TENG demonstrated superior enhanced nerve regeneration compared to the autograft and scaffold groups remains unclear. The present work aims to elucidate the superiority and molecular mechanisms underlying TENG repairs. We conducted a comprehensive transcriptomic analysis of the rat dorsal root ganglia (DRG, L4-L6). A range of key processes were examined, including apoptosis, proliferation, migration, inflammation, the immune response, axonal outgrowth and myelination. To further elucidate the mechanism, LC-MS/MS analysis of SKP-SCs conditioned medium and RNA sequencing of cocultured DRG neurons were carried out. Post-implantation analyses demonstrated enhanced nerve regeneration, as evidenced by molecular data from gene set enrichment analysis and real-time PCR. A bioinformatics analysis including causal network analysis, upstream regulators prediction, and protein-protein interaction network analysis identified several candidate secreted proteins, including neurotrophic and pro-regenerative factors, which were mapped to key signaling pathways implicated in nerve repair. The results of the co-culture experiments with DRG neurons provided direct evidence of the paracrine effects of SKP-SCs, which enhanced neuronal survival and outgrowth. Bioinformatics analysis on RNA sequencing of DRG neurons further highlighted the molecular pathways that were modulated by the secreted factors of SKP-SCs. This integrated approach demonstrates the potential of combining biomaterial scaffolds, cellular therapy, and omics technologies for developing effective strategies to repair peripheral nerve injuries. The findings provide a robust preclinical foundation for advancing TENG-based therapies toward clinical application.
Zhu et al. (Fri,) studied this question.