Objective:To explore the mechanism of Jianpi Qingchang Decoction in the treatment of UC by integrating network pharmacology, bioinformatics, molecular docking and experimental verification.Methods:The effective components and targets of Jianpi Qingchang Decoction were obtained from TCMSP database, and UC data sets GSE16879, GSE48958 and GSE75214 were obtained from GEO database, and differentially expressed genes were screened; intersection targets were obtained through Venn diagram, and GO function and KEGG pathway enrichment analysis was performed. An intersection target PPI network was constructed using STRING database and topology analysis was performed; hub genes were screened through lasso regression and the expression consistency of core targets in the dataset was verified through logistic regression. A UC mouse model was established and hub genes were validated.Results:A total of 213 drug targets of Jianpi Qingchang Decoction were obtained, and 499 common intersection targets of GSE16879, GSE48958 and GSE75214 were obtained by differential gene expression analysis. Thirty intersection targets of Jianpi Qingchang Decoction and UC were obtained, mainly acting on IL-17 signaling pathway, TNF signaling pathway, AGE-RAGE signaling pathway in diabetic complications, etc. PPI network topology analysis obtained 7 common intersection targets, including PTGS2, IL-1B, IL-6, MMP9, CXCL8, CCL2 and MMP2. IL-6 and MMP2 were selected as hub genes by lasso regression. Logistics regression analysis showed that IL-6 and MMP2 were risk factors for the disease. Compared with the model group, the expressions of IL-6 and MMP2 mRNA and protein in the colon tissue of the TCM group decreased ( P<0.05), and the morphology of colon tissue was improved compared with the model group. Conclusion:IL-6 and MMP2 are risk factors for UC, the therapeutic effect of Jianpi Qingchang Decoction is to mediate Il-17 signal pathway, TNF signal pathway and AGE-RAGE signal pathway in diabetic complications through the targets of IL-6, and MMP2, thereby treating UC.

【Objective】 To investigate current research hotspots and trends in the field of pediatric diabetes both domestically and globally, in order to provide valuable references for further research in this area. 【Methods】 Web of Science and CNKI were utilized as sources for English and Chinese literature databases to search for relevant papers on pediatric diabetes research from 2013 to 2023. CiteSpace software was then used to analyze the data, allowing for visual analysis of publication numbers, authors, research institutions, keywords, and other relevant content. 【Results】 A total of 6 683 English literature and 1 730 Chinese literature papers were included in the analysis. The number of published English papers showed an overall upward trend, while the number of published Chinese papers exhibited an initial rise before 2016 followed by a decline. The University of Colorado System had the highest number of international publications, and the Endocrinology Department of Tianjin Children′s Hospital had the highest number of domestic publications. Keyword analysis revealed that in English literature, "glycemic control", "prevalence", "risk", "body mass index", "adherence", "trends", and "continuous glucose monitoring" were among the prominent keywords, highlighting current research hotspots and trends in pediatric diabetes. In contrast, in Chinese literature, keywords such as "insulin", "diabetic ketoacidosis", "nursing", "obesity", "quality of life", "insulin resistance", and "metabolic syndrome" were identified as key research areas and trends in pediatric diabetes. 【Conclusions】 There has been a significant increase in research on pediatric diabetes in recent years, both domestically and globally, with the research scope continuously expanding and new hot topics emerging, particularly concerning obesity, nursing, and quality of life. However, there still exists a disparity between the depth and breadth of research conducted domestically versus globally.