| Purpose:1.To analyze the distribution characteristics of traditional Chinese medicine(TCM)syndrome types in patients with type 2 diabetes mellitus(T2DM)combined with hyperuricemia and the risk factors affecting the distribution of TCM syndrome types,so as to provide a basis for TCM syndrome differentiation and individualized treatment of the disease.2.To study the potential mechanism of reducing uric acid decoction in the treatment of hyperuricemia by network pharmacology.Data and methods:1.Questionnaire survey was used to collect the patient’s four diagnostic data and laboratory tests.The collected information was made into excel sheet and SPSS 25.0 was used for data analysis.2.TCMSP database,Gene Cards database and OMIM database were used to obtain the active ingredients,gene abbreviations and HUA targets of the drugs,respectively.Cyto Scape3.9.0was used to construct the "active ingredient-target network diagram of uric acid lowering prescription".The intersection of drugs and disease targets is taken and imported into the String platform to construct a PPI network.Metascape database was applied to perform GO enrichment analysis and KEGG enrichment analysis of intersection targets.Results:1.There were significant differences in age,BMI,drinking history,TG,TC,UA,Cr,BUN,ALT and AST among different syndrome types(P < 0.05).The patients with Yin and Yang deficiency and blood stasis syndrome had the highest age,UA,Cr and BUN.Patients with damp-heat trapping spleen and blood stasis syndrome had the highest number of drinking,and the values of BMI,TG,TC,ALT and AST were the highest.logistic regression analysis showed that age,drinking history,BMI,TC and Cr were the risk factors affecting the distribution of TCM syndromes.2.There are 157 active ingredients in the decoction,and quercetin,kaempferol,luteolin and wogonin are the main ingredients.Protein interaction network analysis showed that TNF,IL6,TP53,IL-1β and other targets had large degree values,which were the key targets of uric acid reducing decoction in the treatment of HUA.KEGG enrichment results showed that the common targets could play a role through various pathways such as lipid and atherosclerosis,AGE-RAGE signaling pathway in diabetic complications,IL-17 signaling pathway,and TNF signaling pathway.Conclusion:1.Age,BMI,drinking history,TC,TG,UA,Cr,BUN,ALT and AST can reflect the differences between different TCM syndromes of T2 DM combined with HUA to a certain extent.For the treatment of T2 DM combined with HUA,the levels of the above indicators should be detected in time,and the patients’ symptoms and tongue pulse syndrome differentiation should be accurately combined.Timely treatment of traditional Chinese medicine or combination of traditional Chinese and Western medicine can delay the occurrence of complications and improve the quality of life of patients.2.Reducing uric acid prescription can treat hyperuricemia through multiple components,multiple targets and multiple pathways. |