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首页> 外文期刊>Evidence-based complementary and alternative medicine: eCAM >Predictive Study of the Active Ingredients and Potential Targets of Codonopsis pilosula for the Treatment of Osteosarcoma via Network Pharmacology
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Predictive Study of the Active Ingredients and Potential Targets of Codonopsis pilosula for the Treatment of Osteosarcoma via Network Pharmacology

机译:通过网络药理学治疗骨质糖瘤患者脊髓糖尿病患者的活性成分及潜在靶标的预测研究

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Osteosarcoma (OS) is the most common type of primary bone tumor in children and adults. Dangshen ( Codonopsis pilosula ) is a traditional Chinese medicine commonly used in the treatment of OS worldwide. However, the molecular mechanisms of Dangshen in OS remain unclear. Hence, in this study, we aimed to systematically explore the underlying mechanisms of Dangshen in the treatment of OS. Our study adopted a network pharmacology approach, focusing on the identification of active ingredients, drug target prediction, gene collection, gene ontology (GO) enrichment, Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment, and other network tools. The network analysis identified 15 active compounds in Dangshen that were linked to 48 possible therapeutic targets related to OS. The results of the gene enrichment analysis show that Dangshen produces a therapeutic effect in OS likely by regulating multiple pathways associated with DNA damage, cell proliferation, apoptosis, invasion, and migration. Based on the network pharmacology approach, we successfully predicted the active compounds and their respective targets. In addition, we illustrated the molecular mechanisms that mediate the therapeutic effect of Dangshen in OS. These findings may aid in the development of novel targeted therapies for OS in the future.
机译:骨肉瘤(OS)是儿童和成人最常见的原发性骨肿瘤类型。 Dangshen(Codonopsis pilosula)是一种常用于全球OS的中药。然而,OS中Dangshen的分子机制仍然不清楚。因此,在本研究中,我们旨在系统地探索Dangshen治疗OS的潜在机制。我们的研究采用了一种网络药理学方法,重点是鉴定活性成分,药物靶预测,基因收集,基因本体(GO)富集,基因和基因组(Kegg)富集的京都百科全书和其他网络工具。网络分析鉴定了诸如Dangshen中的15个活性化合物,其与与OS相关的48个可能的治疗靶标相关。基因富集分析结果表明,Dangshen通过调节与DNA损伤,细胞增殖,凋亡,侵袭和迁移相关的多种途径产生治疗效果。基于网络药理学方法,我们成功地预测了活性化合物及其各自的目标。此外,我们说明了介导Dangshen在OS中的疗效的分子机制。这些发现可能有助于未来开发新型针对性疗法。

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