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Objective To screen key autophagy-related genes in alcoholic hepatitis (AH) and investigate potential biomarkers and therapeutic targets for AH. Methods Two AH gene chips in Gene Expression Omnibus (GEO) and autophagy-related data sets obtained from MSigDB and GeneCards databases were used, and the key genes were verified and obtained by weighted gene co-expression network analysis (WGCNA). The screened key genes were subject to gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), protein-protein interaction (PPI) and immune infiltration analyses. Messenger RNA (mRNA)- microRNA (miRNA) network was constructed to analyze the expression differences of key autophagy-related genes during different stages of AH, which were further validated by real-time fluorescence quantitative polymerase chain reaction (RT-qPCR) in the liver tissues of AH patients and mice. Results Eleven autophagy-related genes were screened in AH (EEF1A2, CFTR, SOX4, TREM2, CTHRC1, HSPB8, TUBB3, PRKAA2, RNASE1, MTCL1 and HGF), all of which were up-regulated. In the liver tissues of AH patients and mice, the relative expression levels of SOX4, TREM2, HSPB8 and PRKAA2 in the AH group were higher than those in the control group. Conclusions SOX4, TREM2, HSPB8 and PRKAA2 may be potential biomarkers and therapeutic targets for AH.
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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.