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Umbilical cord mesenchymal stem cells (UCMSCs) have been identified as a potentially ideal cell type for use in regenerative therapeutic contexts owing to their excellent paracrine secretory abilities and other desirable properties. Previous work has shown that stem cell-derived exosomes can effectively reduce skin aging, but few studies have specifically focused on the role of UCMSC-derived exosomes in this context. In this study, we isolated exosomes derived from UCMSCs grown in a three-dimensional culture system and explored their ability to modulate the photo-aging of HaCaT keratinocytes. Cell viability and proliferation were assessed using CCK8 assay, whereas wound healing and transwell assays were used to assess cell migratory capabilities. UVB irradiation (60 mJ/cm 2 ) was used to induce photo-aging of HaCaT cells. TUNEL and SA-b-Gal staining were used to explore HaCaT cell apoptosis and senescence, respectively, whereas real-time quantitative PCR was used to assess the expression of relevant genes at the mRNA level. We found that UCMSC-derived exosomes were able to enhance normal HaCaT cell proliferation and migration while also inhibiting UVB-induced damage to these cells. These exosomes also reduced HaCaT cell apoptosis and senescence, increasing collagen type I expression and reducing matrix metalloproteinase (MMP1) expression in photo-aged HaCaT cells. Together, these findings indicate that UCMSC-derived exosomes have the potential to be used therapeutically to suppress skin aging.

Background Cervical cancer is the fourth most common cancer in women worldwide. The metastasis and invasion of this type of cancer are closely related to the tumor microenvironment. Immune cells and stromal cells dominate the tumor microenvironment in cervical cancer. Therefore, we should further understand the association between tumor progress and immune cells or stromal cells. Methods we downloaded the gene expression profiles and clinical data of 307 patients with cervical cancers based on the TCGA database. Subsequently the Estimation of Stromal and Immune cells in Malignant Tumours using Expression data (ESTIMATE) algorithm was used to calculate the scores of stromal cells and immune cells to find differential genes, and analyzed the correlation between their scores and patient survival. Moreover, we also used R language packs and network tools to analyze GO term, gene enrichment pathway, and protein-protein relationship to find genes related to inflammation and immune regulation. Results The gene expression profiles and corresponding clinical data of 307 patients were obtained from TCGA datasets. The results showed that there was a statistically significant difference between the high immunescore group and the low immunescore group. And the low immunescore group had shorter lifetimes than the high scores group (P = 0.035).Moreover, PPI network analysis CCR5 and CXCL9,-10,-11 / CXCR3 axis might be new target for cervical cancer treatment. Finally, Kaplan-Meier survival curves found out nine representative genes significantly related to survival including BTNL8 ,