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Aim To investigate the expression of IncRNA AC079466. 1 in non-small cell lung cancer (NSCLC) tissues and cells, and the effect of its overexpression on the proliferation, apoptosis, migration and invasion of A549 and H1299 cells. Methods Cancer tissues and corresponding adjacent tissues from 20 NSCLC patients were collected, and the expression of IncRNA AC079466. 1 in tissue and cells was detected by qRT-PCR. AC079466. 1 group was transfected with overexpression plasmid, NC group was transfected with empty plasmid, and no transfection was used in the Blank group. MTT, flow cytometry and Transwell were used to detect the effects of IncRNA AC079466. 1 overexpression on the viability, apoptosis, migration and invasion of A549 and HI299 cells. Western blot was used to detect the effect of overexpression of IncRNA AC079466. 1 on the expression of endoplasmic reticulum stress-related factors GRP78, PERK, eIF2a, ATF4, CHOP, Bax and caspase-3. Results Compared with adjacent tissues, the expression of IncRNA AC079466. 1 in cancer tissues significantly decreased. Compared with HBE cells, the expression of IncRNA AC079466. 1 significantly decreased in A549 and H1299 cells. Compared with the Blank group and NC group, the viability, migration and invasion abilities of A549 and H1299 cells in AC079466. 1 group all markedly decreased, the apoptosis rate apparently increased, and the expressions of endoplasmic reticulum stress-related factors GRP78, p-PERK, eIF2a, ATF4, CHOP, Bax and caspase-3 were significantly up-regulated. Conclusion The overexpression of IncRNA AC079466. 1 significantly inhibits the viability, migration and invasion of A549 and HI299 cells, and promotes cell apoptosis. The mechanism may be related to the promotion of endoplasmic reticulum stress-mediated cell apoptosis.
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Network pharmacology and bioinformatics technology were used to predict the mechanism of action of Fuzi-Lizhong pill (FLP) in the treatment of ulcerative colitis (UC). 26 components (23 prototype compounds and 3 metabolites) in the blood of FLP were selected as the research objects. PharmMapper database, SwissTargetPrediction platform, GeneCards and OMIM database were used to screen and predict potential targets of FLP in blood. The protein-protein interaction network model was constructed by using String database and Cytoscape software. DAVID platform, KEGG and Reactome databases were used for GO analysis and pathway analysis of potential targets. Network of drug ingredients-targets-pathways was constructed by Cytoscape software. AutoDock vina software was used to dock the molecules of the absorbed ingredients of FLP in blood with the key targets. 82 potential targets of FLP for treatment of UC were obtained. Potential targets mainly involve biological processes such as response to organic substance, regulation of apoptosis, regulation of programmed cell death, which played roles in the treatment of UC by adjusting pathways in cancer, Colorectal cancer, Vascular endothelial growth factor signaling pathway, Mitogen-activated protein kinase signaling pathway, arachidonic acid metabolism and the other signal pathways. From the perspective of network pharmacology, this study predicted the mechanisms of action of FLP in treating UC, indicating that FLP in treating UC had the characteristics of multiple ingredients, multiple targets and multiple pathways, which laid a foundation for further research.
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Objective:Based on the previous studies, to investigate the dissolution behavior of Fuzi Lizhongwan by simultaneously determining the dissolution of benzoylmesaconine, benzoylaconine and benzoylhypaconine in Aconiti Lateralis Radix Praeparata. Method:The simultaneous determination of benzoylmesaconine, benzoylaconine and benzoylhypaconine in Fuzi Lizhongwan was established by HPLC-QQQ-MS. The dissolution amounts of three compositions in 15 batches of Fuzi Lizhongwan from 5 manufacturers at different time points, the cumulative dissolution was calculated and the dissolution curve was drawn. The f2 similarity factor method was adopted to evaluate similarity of dissolution curves of index components in different batches of samples from the same manufacturer, and to evaluate similarity of dissolution curves of samples from different manufacturers based on the same index component. The dissolution model of Fuzi Lizhongwan was concluded by fitting with the dissolution data. Result:When hydrochloric acid solution with pH of 1.2 was used as the dissolution medium, the three alkaloids had the best dissolution effect. The dissolution behavior of three monoester alkaloids in Fuzi Lizhongwan was basically synchronous and the dissolution lasted for 24 h. Three batches of samples from the same manufacturer (manufacturer 1, 3, 4 and 5) appeared to be similar on dissolution behavior, indicating that the dissolution behavior of the majority of samples from different manufacturers was similar. The dissolution behavior of batch 1 sample was different from batch 2 and 3 samples in manufacturer 2, suggesting that the quality of different batches of samples in manufacturer 2 might be different. The fitting results of dissolution data of index components in samples from different manufacturers were consistent, and the Weibull model was the best. Conclusion:Index components in fifteen batches of samples from 5 manufacturers are continuously dissolved within 24 h, indicating that the samples have the characteristics of slow dissolution. The dissolution curves of samples from the same manufacturer are similar to each other, indicating that the quality of different batches of products from most manufacturers is stable. The dissolution behavior of benzoylmesaconine, benzoylaconine and benzoylhypaconine in samples form different manufacturers has some differences, which may be caused by the source of medicinal materials and preparation technology parameters.