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Aim To explore a potential new target for the prevention and treatment of diabetic cardiomyopathy ( DCM) in mice. Methods The myocardial proteomics of normal and diabetic mice was studied. The GEO database GSE161931 dataset was analyzed using R language with P < 0.05 and I log
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Objective: To explore the pathogenic genes and potential drug therapeutic targets of ulcerative colitis and its malignant complications by a variety of bioinformatics analysis. Methods: Four expression profiling datasets (GSE13367, GSE9452 and GSE36807 as UC group, and GSE37283 as UCN group) downloaded from the Gene Expression Omnibus (GEO) database were jointly analyzed to identify the differential genes. Key genes related to ulcerative colitis and its malignant complications were obtained by subsequent immunoassay and gene correlation analysis, and a number of small molecule drugs with potential therapeutic effects were screened by LINCS L1000 database. Results: Eighty-six and 253 significant differentially expressed genes were identified respectively in the differential gene analysis of UC group and UCN group. The scoring analysis of the node genes in protein-protein interaction (PPI) network of UC group showed that the core gene of the network was CXCL8. KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analysis indicated that CXCL8 mainly participated in the recruitment of neutrophils in IL-17 signaling pathway, and three small molecule drugs (butein, levocetirizine, pseudoephedrine) for CXCL8 were found based on the screening results of LINCS L1000 database. Conclusion: The core differentially expressed gene CXCL8 may be a new drug target for the treatment of ulcerative colitis and its malignant complications. The three screened small molecule drugs may have potential treatment effect on ulcerative colitis and its malignant complications.
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Objective:To analyze the known mechanism of toxicology and predict the unknown toxicity in Asari Radix et Rhizoma sinensis by establishing the network relationship of compound, protein, gene and toxicant reaction. Method:After comparing the Asari Radix et Rhizoma candidate compounds obtained from the traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP) database and the toxicological information obtained from the Comparative Toxicogenomics Database(CTD) database, we screened out 13 toxic components from Asari Radix et Rhizoma. And use the Pharm Mapper Server website to find the detailed information of target proteins of the 13 components. The network structure of these 13 chemical components and their corresponding target proteins were drawn by using Cytospace software, and several target proteins with the highest degree of association were found. ClueGO+CluePedia plug-in of Cytospace software was applied in gene ontology(GO) enrichment analysis of genes and kyoto encyclopedia of genes and genomes(KEGG) pathway enrichment analysis, so as to determine the pathways through which toxic substances in Asari Radix et Rhizoma might be harmful to human body. Result:The toxic substances in Asari Radix et Rhizoma may induce tumor and cancer formation through p53 signaling pathway, interleukin(IL)-17 signaling pathway, nuclear factor(NF)-kappa B signaling pathway, tumor necrosis factor(TNF)-signaling pathway. Asari Radix et Rhizoma could inhibit the central nervous system by regulating apoptosis pathways and neurons, and may also cause other autoimmune diseases by IL-17, TNF-α pathway and apoptosis regulation. Conclusion:This study preliminarily explores related mechanisms of toxicity of Asari Radix et Rhizoma,this method can be used to predict toxicity and explain toxicity mechanism of traditional Chinese medicine.
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In this study, Illumina sequencing platform was applied in sequencing rat pancreas, counting expression of target points, analyzing expression differences among blank group, model group and Huangqi Liuyi decoction group and exploring the therapeutic effect and mechanism of Huangqi Liuyi decoction on type 2 diabetes mellitus. According to the result, 24.25% of these genes belonged to the unknown functional class, which was the largest classification unit according to the classification analysis of genes by eggNOG. The rest were classified as energy conversion, amino acid transport and metabolism, nucleotide transport and metabolism, carbohydrate transport and metabolism, coenzyme transport and metabolism, and lipid transport and metabolism, etc.Huangqi Liuyi decoction may play a therapeutic role in the treatment of type 2 diabetes mellitus through four metabolic pathways, namely environmental information processing, cellular process, organismal system and human diseases according to KEGG enrichment analysis. This study shows that, Huangqi Liuyi decoction can significantly improve the fasting blood glucose and glycosylated hemoglobin in type 2 diabetic rats.