Celastrol inhibits inflammatory factors expression in glioblastoma

Background:Glioblastoma is one of the most common primary intracranial tumors of the central nervous system in adults.Although chemotherapy is an important component of glioblastoma treatment,its effectiveness remains unsatisfactory.Due to multiple immunosuppressive mechanisms,glioblastoma immunotherapy has not been effective in treating many patients as a result of the clinical breakthroughs in the field.Therefore,the development of cancer immunotherapy relies on the understanding of how tumors interact with the immune system and the analysis of their molecular determinants.This study identified the key interactions between immune cells in the glioma microenvironment using RNA microarrays and single-cell sequencing.Methods:First,we screened differentially expressed genes in tumor and control samples from GSE29796 and GSE50161 datasets using GEO2R.All differentially expressed genes were used to perform enrichment analysis and construct protein-protein interaction topological analysis to analyze the interaction between proteins.Using single-cell RNA sequencing data from the GSE162631 database,we identified immune cell types within the glioblastoma microenvironment,and validated the hub gene expression in these cells.In addition,based on the GEPIA and TIMER databases,hub genes were investigated and compared with immune infiltration to determine differential expression.Finally,CellChat was used to visualize the gene expression distribution and cell-to-cell communication analysis of the proteins between different types of cells.Results:We found that monocytes/macrophages may communicate with each other in the tumor microenvironment through MIF-(CD74+CXCR4)and MIF-(CD74+CD44).In addition,our study indicated that celastrol has the ability to inhibit inflammatory factors expression by MIF/CD74 signaling pathway in U87 cells.Conclusion:This study improved the effectiveness of cancer immunotherapy strategies and developed new ideas for immunotherapy that can be applied to glioblastoma.

Quantitative and HPLC fingerprint analysis combined with chemometrics for quality evaluation of Codonopsis Radix processed with different methods

Objective: To observe the effect of different processing methods on the quality of Codonopsis Radix and provide data reference for the reasonable processing in the producing areas.Methods: An analytical strategy that combined quantitative and HPLC fingerprint analysis with chemometrics was developed for the quality evaluation of Codonopsis Radix. Lobetyolin, polysaccharide, sucrose,glucose, and fructose were detected simultaneously in Codonopsis Radix samples treated with different processing methods including dryer-drying, sun-drying, shade-drying, sulfur fumigation, and kneading,etc.Results: The results showed that different processing methods had an obvious impact on the quality of Codonopsis Radix. Sun-drying or shade-drying was recommended, and sulfur fumigation should be avoided. And dryer-drying at 40 °C-50 °C was suggested to meet the requirement for large scale processing. In addition, based on the content of polysaccharide, glucose, and fructose, it was advised to knead for three times. As for lobetyolin and sucrose, kneading should be avoided.Conclusions: Our findings demonstrated that processing method had a big impact on the quality of Codonopsis Radix. Based on the results, the appropriate processing methods directed at different requirements were recommended. The study could lay a foundation for the reasonable processing of Codonopsis Radix in producing areas.