Mechanisms of Compound Kushen Injection for the Treatment of Lung Cancer Based on Network Pharmacology

Meng, Ziqi; Liu, Xinkui; Wu, Jiarui; Zhou, Wei; Wang, Kaihuan; Jing, Zhiwei; Ni, Mengwei; Zhang, Xiaomeng

doi:10.1155/2019/4637839

Cited by 34 publications

(29 citation statements)

References 86 publications

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“…In recent years, virtual pharmacology research was regarded as the fastest and most effective screening method in the early study of drug effectiveness. 21,23,[28][29][30][31][32] Gentianella acuta is an old drug commonly used for treating hepatitis and carcinoma. Therefore, in this study, Gentiopicroside was employed to study the gastric cancer enriching mechanism by network pharmacology approach.…”

Section: Discussionmentioning

confidence: 99%

<p>Research on the Potential Mechanism of Gentiopicroside Against Gastric Cancer Based on Network Pharmacology</p>

Huang¹,

Lin²,

Yi³

et al. 2020

DDDT

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Background: Gastric cancer was still one of the commonly diagnosed cancer types and the third-most common cause of cancer-related death in the world. Gentiopicroside, which is extracted from the Gentianella acuta, is commonly used in both traditional treatment and modern clinical care; therefore, its anticancer effects have been attracted more attention. However, the systematic analysis of action mechanism of Gentiopicroside on gastric cancer (GC) has not yet been carried out. Aim: A network pharmacology-based strategy combined with molecular docking studies and in vitro validation was employed to investigate potential targets and molecular mechanism of Gentiopicroside against GC. Materials and Methods: Potential targets of Gentiopicroside, as well as related genes of GC, were acquired from public databases. Potential targets, and signaling pathways were determined through bioinformatic analysis, including protein-protein interaction (PPI), the Gene Ontology (GO), and the Kyoto Encyclopedia of Genes and Genomes (KEGG). Subsequently, molecular docking and cell experiments were performed to further verify the above findings. Results: Our findings revealed that the anticancer activity of Gentiopicroside potentially involves 53 putative identified target genes. In addition, GO, KEGG, and network analyses revealed that these targets were associated with cell proliferation, metabolic process, and other physiological processes. Furthermore, we have proved that critical compound affected the expression of CCND1, CCNE1, p-AKT and p-P38 at protein levels. These findings provide an overview of the anticancer action of Gentiopicroside from a network perspective; meanwhile, it might also set an example for future studies of other materials used in traditional Chinese medicine (TCM). Conclusion: This study comprehensively illuminated the potential targets and molecular mechanism of Gentiopicroside against GC. It also provided a promising approach to uncover the scientific basis and therapeutic mechanism of TCM treating for disease.

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Section: Discussionmentioning

confidence: 99%

<p>Research on the Potential Mechanism of Gentiopicroside Against Gastric Cancer Based on Network Pharmacology</p>

Huang¹,

Lin²,

Yi³

et al. 2020

DDDT

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“…To identify the compound targets of YZG, we chose two widely used databases: STITCH and TCMSP. STITCH ( https://stitch.embl.de/ ) is a database of known and predicted interactions between compounds and protein, and is based on text mining and molecular docking techniques [ 21 ]. STITCH has been used to explore the potential active components and to explain the molecular mechanism of TCM.…”

Section: Methodsmentioning

confidence: 99%

Dissecting the mechanism of Yuzhi Zhixue granule on ovulatory dysfunctional uterine bleeding by network pharmacology and molecular docking

Luo

Liu

et al. 2020

Chin Med

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Background Yuzhi Zhixue Granule (YZG) is a traditional Chinese patent medicine for treating excessive menstrual flow caused by ovulatory dysfunctional uterine bleeding (ODUB) accompanied by heat syndrome. However, the underlying molecular mechanisms, potential targets, and active ingredients of this prescription are still unknown. Therefore, it is imperative to explore the molecular mechanism of YZG. Methods The active compounds in YZG were screened by the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). The putative targets of YZG were collected via TCMSP and Search Tool for Interacting Chemicals (STITCH) databases. The Therapeutic Target Database (TTD) and Pharmacogenomics Knowledgebase (PharmGKB) databases were used to identify the therapeutic targets of ODUB. A protein–protein interaction (PPI) network containing both the putative targets of YZG and known therapeutic targets of ODUB was built. Furthermore, bioinformatics resources from the database for annotation, visualization and integrated discovery (DAVID) were utilized for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Finally, molecular docking was performed to verify the binding effect between the YZG screened compounds and potential therapeutic target molecules. Results The study employed a network pharmacology method, mainly containing target prediction, network construction, functional enrichment analysis, and molecular docking to systematically research the mechanisms of YZG in treating ODUB. The putative targets of YZG that treat ODUB mainly involved PTGS1, PTGS2, ALOX5, CASP3, LTA4H, F7 and F10. The functional enrichment analysis suggested that the produced therapeutic effect of YZG against ODUB is mediated by synergistical regulation of several biological pathways, including apoptosis arachidonic acid (AA) metabolism, serotonergic synapse, complement and coagulation cascades and C-type lectin receptor signaling pathways. Molecular docking simulation revealed good binding affinity of the seven putative targets with the corresponding compounds. Conclusion This novel and scientific network pharmacology-based study holistically elucidated the basic pharmacological effects and the underlying mechanisms of YZG in the treatment of ODUB.

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“…Through the NetworkAnalyzer plug-in of the Cytoscape 3.7.0 platform [12], the degree values of each node in the network diagrams were calculated. The degree value represents the number of nodes that directly interact with a node in the network; the greater the degree value of a node in a network, the greater the role of this node in the network [13].…”

Section: Construction Of a Chemical Component-target Networkmentioning

confidence: 99%

“…The gene names of the potential targets were entered into the STRING database [15] to obtain the protein-protein interactions (PPIs), which were further imported to the Cytoscape 3.7.0 platform to perform network topology analysis using the Cytohubba plug-in [16] [16]. The degree value of a protein is directly related to the importance of it, and proteins with high degree values tend to be key proteins [13]. Hence, the network topology analysis was used to arrange the nodes of the PPI network diagrams in descending order of the degree values to obtain the target ranking in this study.…”

Section: Network Topology Analysis Of Potential Targetsmentioning

confidence: 99%

Network analysis of the pharmacological mechanism of Reduning injection in the treatment of novel coronavirus pneumonia

Xie

Zheng

Jiang³

et al. 2020

Preprint

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Background: Pneumonia caused by novel coronavirus (COVID-19) is spreading worldwide. Traditional Chinese medicines (TCM) have played an important role in COVID-19 treatment in China. This study explores the specific mechanisms of action of Reduning injection (RDN) as a novel clinical treatment for COVID-19. Material and Methods: We collected RDN chemical components and targets, COVID-19-related targets, and predictions of potential targets of RDN treatment for COVID-19 and performed network topology, Gene Ontology (GO) functional enrichment analysis and WikiPathways enrichment analysis of these potential targets. Results: This study identified 14 chemical components and 200 targets of RDN; 3,558 COVID-19-related targets; 54 potential targets of RDN treatment for COVID-19. GO functional enrichment analysis identified 83 entries in biological process, including regulation of vasoconstriction、arachidonic acid secretion, and 17 entries in molecular function, including oxidoreductase activity, acting on the aldehyde or oxo group of donors. WikiPathways enrichment analysis identified 16 entries including the interleukin-12 signaling pathway. Conclusion: In brief, RDN may be involved in the core anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) action and also in the reduction of the resulting inflammatory response, oxidative stress, and lung tissue damage, and the regulation of apoptosis, providing evidence for the characteristics of TCM in COVID-19 treatment involving multiple components, targets, and pathways.

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Mechanisms of Compound Kushen Injection for the Treatment of Lung Cancer Based on Network Pharmacology

Cited by 34 publications

References 86 publications

<p>Research on the Potential Mechanism of Gentiopicroside Against Gastric Cancer Based on Network Pharmacology</p>

<p>Research on the Potential Mechanism of Gentiopicroside Against Gastric Cancer Based on Network Pharmacology</p>

Dissecting the mechanism of Yuzhi Zhixue granule on ovulatory dysfunctional uterine bleeding by network pharmacology and molecular docking

Network analysis of the pharmacological mechanism of Reduning injection in the treatment of novel coronavirus pneumonia

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