Extracellular Vesicles from Urine-Derived Stem Cell for Tissue Engineering and Regenerative Medicine.

The potential of urine-derived stem cells (USCs) for tissue engineering and regenerative medicine has attracted much attention during the last few decades. However, it has been suggested that the effects of the USCs may be endowed by their paracrine extracellular vesicles (EVs) rather than their differentiation. Compared with the USCs, the USC-EVs can cross the barriers more easily and safely, and their inclusions may mediate intercellular communication and promote the tissue repair. This article has summarized the current knowledge and applications about the USC-EVs in tissue engineering and regenerative medicine, and discussed the prospects and challenges for using them as an alternative to cell therapy. Impact statement Urine-derived stem cells (USCs) represent a newly discovered type of stem cells, and studies have proved that the beneficial effects of the USCs may be manifested through their paracrine extracellular vesicles (EVs) rather than through their own differentiation, which opens up new avenues for tissue engineering and regenerative medicine strategies. Therefore, this review aims to summarize the latest research progress and potential clinical applications of the USC-EVs, highlighting the promising potential of the USC-EVs as a therapeutic option in kidney regeneration, genital regeneration, nerve regeneration, bone and cartilage regeneration, and wound healing.

Single-cell sequencing of head and neck carcinoma: Transcriptional landscape and prognostic model based on malignant epithelial cell features.

Head and neck squamous cell carcinoma (HNSCC) is the sixth most common malignancy worldwide, and the development of novel therapeutic strategies for HNSCC requires a profound understanding of tumor cells and the tumor microenvironment (TME). Additionally, HNSCC has a poor prognosis, necessitating the use of genetic markers for predicting clinical outcomes in HNSCC. In this study, we performed single-cell sequencing analysis on tumor tissues from seven HNSCC patients, along with one adjacent normal tissue. Firstly, the analysis of epithelial cell clusters revealed two clusters of malignant epithelial cells, characterized by unique gene expression patterns and dysregulated signaling pathways compared to normal epithelial cells. Secondly, the examination of the TME unveiled extensive crosstalk between fibroblasts and malignant epithelial cells, potentially mediated through ligand-receptor interactions such as COL1A1-SDC1, COL1A1-CD44, and COL1A2-SDC1. Furthermore, transcriptional heterogeneity was observed in immune cells present in the TME, including macrophages and dendritic cells. Finally, leveraging the gene expression profiles of malignant epithelial cells, we developed a prognostic model comprising six genes, which we validated using two independent datasets. These findings shed light on the heterogeneity within HNSCC tumors and the intricate interplay between malignant cells and the TME. Importantly, the developed prognostic model demonstrates high efficacy in predicting the survival outcomes of HNSCC patients.