Volatile organic compounds (VOCs) are a type of organic compounds that exist in the form of vapor in the air at room temperature, and are common pollutants in industrial production and living environments. The health hazards caused by exposure to VOCs are gradually gaining recognition and social attention. At present, the research on the harm of VOCs to human health mainly involves the respiratory system, cardiovascular system and nervous system. However, in recent years, people have realized that VOCs can induce glucose metabolism disorder through insulin resistance, oxidative stress and oxidative damage, inflammatory reaction and liver damage, leading to increased blood sugar and increased potential risk of diabetes, and even increased the risk of complications of diabetes. This review summarizes the epidemiology and related mechanisms of VOCs, diabetes and its complications, providing a reference for effective prevention and control of VOC induced diabetes.

Volatile organic compounds (VOCs) are a type of organic compounds that exist in the form of vapor in the air at room temperature, and are common pollutants in industrial production and living environments. The health hazards caused by exposure to VOCs are gradually gaining recognition and social attention. At present, the research on the harm of VOCs to human health mainly involves the respiratory system, cardiovascular system and nervous system. However, in recent years, people have realized that VOCs can induce glucose metabolism disorder through insulin resistance, oxidative stress and oxidative damage, inflammatory reaction and liver damage, leading to increased blood sugar and increased potential risk of diabetes, and even increased the risk of complications of diabetes. This review summarizes the epidemiology and related mechanisms of VOCs, diabetes and its complications, providing a reference for effective prevention and control of VOC induced diabetes.

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.