ABSTRACT
Objective: To screen the flavonoid constituents and targets of Litchi Semen in the intervention of progression and metastasis of colon adenocarcinoma (COAD). Methods: Through DRAR-CPI and SWISS database, potential targets of 19 flavonoids in Litchi Semen were searched. COAD gene expression data and clinical characteristic data from TCGA database were downloaded. Weighted gene co-expression network analysis (WGCNA) was used to establish the gene co-expression network and identify the co-expression module of COAD. The common targets of co-expression module and potential targets were used as the compound to interfere with the drug target of COAD. Protein interaction network analysis, KEGG and GO analysis were performed by String database. The Hub gene was extracted as potential biomarkers of COAD by the cytoHubba, and the interaction network of components, targets and pathways was established by the Cytoscape. The expressions of potential biomarkers were verified by HPA database, and the compounds were docked with the potential biomarkers. Results: A total of 18 co-expression modules were identified with seven of them were correlated with clinical features, such as survival time and tumor stage. Turquoise module was related to the development and transfer of COAD. 19 flavonoids in Litchi Semen acted on 380 potential targets. 34 targets repeated with turquoise module were selected as targets. GO analysis showed that the target points were enriched in 304 GO items, including 229 biological processes, 31 cell composition and 44 molecular functions; KEGG analysis showed that target points were enriched in cancer pathways, cell cycle, and progesterone-mediated 40 pathways including oocyte cancer pathway, cell senescence, and p53 signaling pathway. The genes of CDC25A, CDC25C, CCNB2 and AURKB were screened by cytoHubba as potential biomarkers which related to the progress and transfer of COAD. Compared with para-cancerous tissues, immunohistochemistry results obtained from HPA database showed that the protein expressions of CDC25C, AURKB and CCNB2 in COAD were increased significantly (P < 0.05), which were consistent with gene expression in TCGA data set. Narirutin, procyanidin A2, phloridzin and ent-epicatechin which were well combined to CDC25A, CDC25C and AURKB through hydrogen bond were screened. Conclusion CDC25A, CDC25C, CCNB2 and AURKB were the potential biomarkers closely related to the progression and metastasis of COAD. The mechanism of intervention of flavonoids in Litchi Semen on the progression and metastasis of COAD may be related to the regulation of biological processes, such as cell division, G2/M phase transformation of cell cycle, and the regulation of cancer pathway, p53 signaling pathway and other signaling pathways. Narirutin, procyanidin A2, phloridzin, ent-epicatechin and rutin could be treated as potential inhibitors of CDC25A, CDC25C and AURKB.
ABSTRACT
This paper was to investigate the effect of total flavonoids of Lichi Semen(TFL) on carbon tetrachloride(CCl_4)-induced liver fibrosis in rats, analyze and predict its mechanism of action and potential quality markers(Q-marker). Firstly, male SD rats were taken and injected subcutaneously with a 40% CCl_4-vegetable oil solution twice a week for 8 consecutive weeks to establish a rat model of liver fibrosis. The rats with liver fibrosis were randomly divided into model group, silybin group(43.19 mg·kg~(-1)), Fuzheng Huayu Capsules group(462.75 mg·kg~(-1)), and TFL groups(100 mg·kg~(-1) and 25 mg·kg~(-1)), with normal rats as a blank group, 10 rats in each group. Except for the blank group, the rats in the other groups were subcutaneously injected with 40% CCl_4-vegetable oil solution of a maintenance dose, once a week. The rats in various treatment groups received corresponding doses of drugs, while the rats in the blank group and model group received the same volume of normal saline once a day for 4 weeks. At the end of the experiment, blood was collected from the abdominal aorta and the liver tissues were collected. The levels of total bilirubin(TBiL), direct bilirubin(DBiL), indirect bilirubin(IBiL), alanine aminotransferase(ALT), and aspartate aminotransferase(AST) in serum were detected by using an automatic biochemical detector. Masson staining was used to observe the histopathological changes of rat liver. Then, the chemical compositions of TFL were collected, and the action targets of these chemical compositions were predicted through SWISS database and reverse molecular docking server(DRAR-CPI). After screening of disease targets of liver fibrosis by Gene Cards database, the protein-protein interaction was analyzed with use of STRING database, and GO(gene ontology) analysis and KEGG(Kyoto encyclopedia of genes and genomes) enrich analysis were also carried out. Moreover, an iTRAQ proteomics technology was used to determine protein expression in liver tissues of rats in TFL, model and blank groups to verify the targets. Furthermore, Cytoscape software was used to establish and visualize the network of chemical components, targets and pathways, and predict the potential Q-marker of TFL. The results showed that the levels of TBiL, DBiL, IBiL, ALT, and AST in the model group were significantly higher than those in the blank normal group(P<0.05), and the above levels in the treatment groups were lower than those in the model group, but with no significant differences. Masson staining showed that the liver damage and the degree of fibrosis were severe in the model group, and were relieved to different degrees in the treatment groups. Then, 74 chemical components were screened, which could act on 865 targets such as EGFR and SRC, participating in the regulation of cancer pathways, PI3 K-Akt signaling pathway, HIF-1 signaling pathway and other signaling pathways closely related to liver fibrosis. Pinocembrin, quercetin, epicatechin, procyanidin A2, naringenin, nobiletin, phlorizin and rutin showed the highest correlation with liver fibrosis-related targets and pathways. Proteomics results showed that a total of 18 proteins among the 45 proteins predicted by internet pharmacology were identified, among which 6 proteins were significantly expressed, including 5 up-regulated proteins and 1 down-regulated protein. The protein expression of ALB, PLG, HSP90 AA1, EGFR and MAP2 K1 was significantly returned to a normal state in the TFL treatment groups. In conclusion, TFL may demonstrate the anti-hepatic fibrosis and potential hepatoprotective effects by regulating the expression of ALB, PLG, HSP90 AA1, EGFR and MAP2 K1, which may be associated with the regulation of multiple signaling pathways related to liver fibrosis such as PI3 K-Akt pathway. Pinocembrin, quercetin, epicatechin, procyanidin A2, naringenin, nobiletin, phlorizin and rutin could be regarded as potential Q-markers of TFL for quality control.