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A Network Pharmacology-Based Study on the Anti-Lung Cancer Effect of Dipsaci Radix

机译:基于网络药理学的抗肺癌抗肺癌作用研究

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Objective. Dipsaci Radix (DR) has been used to treat fracture and osteoporosis. Recent reports have shown that myeloid cells from bone marrow can promote the proliferation of lung cancer. However, the action and mechanism of DR has not been well defined in lung cancer. The aim of the present study was to define molecular mechanisms of DR as a potential therapeutic approach to treat lung cancer. Methods. Active compounds of DR with oral bioavailability ≥30% and drug-likeness index ≥0.18 were obtained from the traditional Chinese medicine systems pharmacology database and analysis platform. The potential target genes of the active compounds and bone were identified by PharmMapper and GeneCards, respectively. The compound-target network and protein-protein interaction network were built by Cytoscape software and Search Tool for the Retrieval of Interacting Genes webserver, respectively. GO analysis and pathway enrichment analysis were performed using R software. Results. Our study demonstrated that DR had 6 active compounds, including gentisin, sitosterol, Sylvestroside III, 3,5-Di-O-caffeoylquinic acid, cauloside A, and japonine. There were 254 target genes related to these active compounds as well as to bone. SRC, AKT1, and GRB2 were the top 3 hub genes. Metabolisms and signaling pathways associated with these hub genes were significantly enriched. Conclusions. This study indicated that DR could exhibit the anti-lung cancer effect by affecting multiple targets and multiple pathways. It reflects the traditional Chinese medicine characterized by multicomponents and multitargets. DR could be considered as a candidate for clinical anticancer therapy by regulating bone physiological functions.
机译:客观的。 Dipsaci Radix(DR)已被用于治疗骨折和骨质疏松症。最近的报道表明,来自骨髓的骨髓细胞可以促进肺癌的增殖。然而,DR的动作和机制在肺癌中尚未明确定义。本研究的目的是定义博士作为治疗肺癌的潜在治疗方法的分子机制。方法。从中医系统药理学数据库和分析平台获得了具有口服生物利用度≥30%和药物相似指数≥0.18的活性化合物。分别通过药物掺杂物和明遗物鉴定活性化合物和骨的潜在靶基因。复合靶网络和蛋白质 - 蛋白质相互作用网络由Cytoscape软件和搜索工具分别构建,用于检索相互作用基因网络服务器。使用R软件进行分析和途径浓缩分析。结果。我们的研究表明,DR有6种活性化合物,包括醋胞蛋白,谷甾醇,Sylvestrooside III,3,5-二核桃酰基酸,甲醛A和粳稻。有254个靶基因与这些活性化合物以及骨骼相关。 SRC,AKT1和GRB2是前3个轮毂基因。显着富集了与这些轮毂基因相关的代谢和信号通路。结论。本研究表明,DR通过影响多种靶和多种途径来表现出抗肺癌作用。它反映了传统的中药,其特征是多组分和多目标。通过调节骨生理功能,DR可以被视为临床抗癌治疗的候选者。

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