Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 4 de 4
Filtrar
Adicionar filtros








Intervalo de ano
1.
Chinese Journal of Experimental Traditional Medical Formulae ; (24): 192-200, 2022.
Artigo em Chinês | WPRIM | ID: wpr-940812

RESUMO

ObjectiveThis study aimed to predict the pharmacodynamic material basis and core targets of Bailing capsules in the treatment of chronic obstructive pulmonary disease (COPD) based on network pharmacology and molecular docking, which were further verified by cell experiments to explore the mechanism. MethodThe main active ingredients and related targets of Bailing capsules were screened in Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and SwissTargetPrediction. The main COPD targets were searched from GeneCards, DrugBank, Online Mendelian Inheritance in Man (OMIM) and Therapeutic Target Database (TTD). The protein-protein interaction (PPI) network was constructed by STRING and Cytoscape 3.6.1. Gene Ontology (GO) function annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed by the Database for Annotation, Visualization and Integrated Discovery (DAVID). Molecular docking verification was carried out using AutoDock Vina. The cell viability was detected by 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium (MTS) assay, and the mRNA level of the targets was detected by real-time polymerase chain reaction (Real-time PCR). ResultA total of 11 active ingredients of Bailing capsules such as cerevisterol, 270 related drug targets, and 1 020 COPD target proteins were obtained, with 74 intersection targets. The visualization analysis of the PPI network showed that the core targets of Bailing capsules in the treatment of COPD were tumor protein P53 (TP53), catenin beta 1 (CTNNB1), tumor necrosis factor (TNF), interleukin-6 (IL-6) and insulin (INS). Further, 20 signaling pathways were screened by KEGG enrichment analysis as the main pathways for Bailing capsules to treat COPD, involving phosphatidylinositol 3-kinase/protein kinase B (PI3K/Akt), cyclic adenosine monophosphate (cAMP), forkhead box O (FoxO), TNF, and hypoxia inducible factor-1 (HIF-1) signaling pathways. Molecular docking validation demonstrated that four active ingredients had stable binding to IL-6, with the lowest energy. Bailing capsules could reduce the mRNA level of IL-6 in RAW264.7 cells induced by lipopolysaccharide (LPS) (P<0.01) compared with the control group. ConclusionThe pharmacological mechanism of Bailing capsules in the treatment of COPD might be that its main active ingredients improved the inflammatory response by acting on TP53, CTNNB1, TNF, IL-6 and other targets and regulating PI3K/Akt, cAMP and other signaling pathways, thereby ameliorating COPD symptoms. This study provided experimental basis for subsequent in-depth research, and provided a diagnosis and treatment direction for disease-related clinical treatment.

2.
Chinese Journal of Experimental Traditional Medical Formulae ; (24): 70-76, 2022.
Artigo em Chinês | WPRIM | ID: wpr-940209

RESUMO

ObjectiveTo investigate the therapeutic effect of Qingmei compound on acute gouty arthritis (AGA) in rats and preliminarily clarify its mechanism. MethodForty male SD rats were randomly divided into a blank group, a model group, a colchicine group (0.3 mg·kg-1), and low- and high-dose Qingmei compound groups (200 and 400 mg·kg-1), with eight rats in each group. The AGA model was induced by injecting 50 g·L-1 monosodium urate (MSU) into the ankle joint of the rats except those in the blank group. The ankle swelling index was measured before and 6, 24, and 48 h after modeling. The pathological changes in the joint tissues of AGA rats were observed by hematoxylin-eosin (HE) staining. The expression of tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β) in the joint tissues of rats was detected by immunohistochemistry. The protein expression of NOD-like receptor protein 3 (NLRP3) pathway and key proteins in the joint tissues of rats was detected by Western blot. ResultCompared with the blank group, the model group showed increased ankle swelling index, synovial hyperplasia, and inflammatory infiltration, and up-regulated expression of IL-1β, TNF-α, and NLRP3 proteins in the ankle joint and the ratio of Caspase-1 shear body to Caspase-1 precursor protein (Caspase-1 p20/Caspase-1) (P<0.01). Compared with the model group, the Qingmei compound groups showed reduced ankle swelling index of AGA rats, especially the low-dose Qingmei compound group (P<0.01). Meanwhile, Qingmei compound inhibited synovial hyperplasia and inflammatory infiltration (P<0.01) and reduced the levels of IL-1β, TNF-α, and NLRP3 proteins and Caspase-1 p20/Caspase-1 in joint tissues (P<0.01). ConclusionQingmei Compound can significantly alleviate the joint swelling and inflammatory infiltration of AGA, and its mechanism may be related to the inhibition of the NLRP3 signaling pathway.

3.
Chinese Journal of Experimental Traditional Medical Formulae ; (24): 70-76, 2022.
Artigo em Chinês | WPRIM | ID: wpr-940112

RESUMO

ObjectiveTo investigate the therapeutic effect of Qingmei compound on acute gouty arthritis (AGA) in rats and preliminarily clarify its mechanism. MethodForty male SD rats were randomly divided into a blank group, a model group, a colchicine group (0.3 mg·kg-1), and low- and high-dose Qingmei compound groups (200 and 400 mg·kg-1), with eight rats in each group. The AGA model was induced by injecting 50 g·L-1 monosodium urate (MSU) into the ankle joint of the rats except those in the blank group. The ankle swelling index was measured before and 6, 24, and 48 h after modeling. The pathological changes in the joint tissues of AGA rats were observed by hematoxylin-eosin (HE) staining. The expression of tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β) in the joint tissues of rats was detected by immunohistochemistry. The protein expression of NOD-like receptor protein 3 (NLRP3) pathway and key proteins in the joint tissues of rats was detected by Western blot. ResultCompared with the blank group, the model group showed increased ankle swelling index, synovial hyperplasia, and inflammatory infiltration, and up-regulated expression of IL-1β, TNF-α, and NLRP3 proteins in the ankle joint and the ratio of Caspase-1 shear body to Caspase-1 precursor protein (Caspase-1 p20/Caspase-1) (P<0.01). Compared with the model group, the Qingmei compound groups showed reduced ankle swelling index of AGA rats, especially the low-dose Qingmei compound group (P<0.01). Meanwhile, Qingmei compound inhibited synovial hyperplasia and inflammatory infiltration (P<0.01) and reduced the levels of IL-1β, TNF-α, and NLRP3 proteins and Caspase-1 p20/Caspase-1 in joint tissues (P<0.01). ConclusionQingmei Compound can significantly alleviate the joint swelling and inflammatory infiltration of AGA, and its mechanism may be related to the inhibition of the NLRP3 signaling pathway.

4.
Chinese Journal of Analytical Chemistry ; (12): 1284-1290, 2017.
Artigo em Chinês | WPRIM | ID: wpr-609375

RESUMO

A mathematical model of competition-type lateral flow immunoassay (LFIA) was developed to describe the dynamic process of LFIA.The competition-type LFIA was divided into two categories: TwA-competition-type LFIA and TnA-competition-type LFIA.On the basis of the developed model, the COMSOL software was exploited to simulate the dynamic process of LFIA.The simulation result demonstrated the relationships between the concentrations of substances on the test and control lines and the influence factors.In particular, the influence factors in the TwA-competition-type LFIA included the concentrations of target analyte A (0-20 mol/L) and reporter particle P (0.01-100 mol/L), and the position of the test line (5-20 mm).On the other hand, the influence factors in the TnA-competition-type LFIA included the concentrations of target analyte A (0-20 mol/L) and reporter particle P (0.01-100 mol/L), and the porosity.Experiment result showed that the developed model could be used to explore the influence of the parameters on the test results, and optimize the performance of LFIA.

SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA