Identification of the Active Compounds and Significant Pathways of Artemisia Annua in the Treatment of Non-Small Cell Lung Carcinoma based on Network Pharmacology
Identification of the Active Compounds and Significant Pathways of Artemisia Annua in the Treatment of Non-Small Cell Lung Carcinoma based on Network Pharmacology
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基于网络药理学鉴定青蒿治疗非小细胞肺癌的活性成分及重要通路
DOI：
10.12659/msm.923624
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发表时间：
2020-05
期刊：
影响因子：
--
通讯作者：
Xin Yu Li
中科院分区：
文献类型：
--
作者：
Shu Qiao Zhang;Hai Bo Xu;Shi Jun Zhang;Xin Yu Li
背景：青蒿素在非小细胞肺癌(NSCLC)中发挥着重要作用。有研究表明，青蒿素具有治疗非小细胞肺癌新药的特点。然而，青蒿素抗非小细胞肺癌的分子机制尚未完全阐明，因为青蒿素中含有数百种成分。本研究旨在对青蒿素抗非小细胞肺癌的作用机制进行网络药理学分析。材料/方法在《中药系统药理数据库与分析平台》(TCMSP)中检索和筛选青蒿的有效成分及相应的潜在靶点。然后通过癌症基因组图谱(TCGA)和国家生物技术信息中心(NCBI)数据库建立非小细胞肺癌相关靶点。基于青蒿潜在靶标和非小细胞肺癌靶标的匹配结果，构建了蛋白质-蛋白质相互作用(PPI)网络，用于分析这些靶标之间的相互作用，并对中心靶标进行拓扑筛选。此外，还进行了基因本体论(GO)生物学功能分析和京都基因与基因组百科全书(KEGG)信号通路的丰富。结果筛选出19种青蒿主要有效成分用于靶点预测，通过多个NSCLC数据库确定了40个与NSCLC相关的共同靶点。AKT1、MYC、CCND1、VEGFA、JUN、MAPK1、EGFR和ESR1的节点面积和对应度值较大，在PPI网络中很容易找到。GO生物学功能分析和KEGG富集物分析进一步验证了上述结果。结论网络药理分析通过多活性成分、多途径、多靶点揭示了青蒿素抗非小细胞肺癌的分子生物学机制。提示青蒿素有可能成为一种很有前途的抗非小细胞肺癌药物。
Background Artemisia annua exerts powerful effects in non-small cell lung carcinoma (NSCLC). Some studies have shown that Artemisia annua possesses the characteristics of new therapeutic drugs for NSCLC patients. However, the underlying molecular mechanism of Artemisia annua anti-NSCLC is not yet fully elucidated because Artemisia annua contains hundreds of ingredients. This study aimed to conduct network pharmacological analysis on the mechanism of action of Artemisia annua against NSCLC. Material/Methods The active ingredients and corresponding potential targets of Artemisia annua were searched and screened in the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). Then through The Cancer Genome Atlas (TCGA) and the National Center for Biotechnology Information (NCBI) databases to establish NSCLC related targets. Based on the matching results of Artemisia annua potential targets and NSCLC targets, a protein–protein interaction (PPI) network was constructed to analyze the interactions between these targets and topologically screen the central targets. Furthermore, Gene Ontology (GO) biological functions analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) signal pathways enrichment were carried out. Results There were 19 main active ingredients of Artemisia annua screened for target prediction; 40 NSCLC-related common targets were identified via multiple NSCLC databases. The node area and corresponding degree value of AKT1, MYC, CCND1, VEGFA, JUN, MAPK1, EGFR, and ESR1 were large and could be easily found in the PPI network. The aforementioned results were further verified by the analysis of GO biological function and KEGG enrichment analysis. Conclusions The network pharmacology analysis reveals the molecular biological mechanism of Artemisia annua anti-NSCLC via multiple active components, multi-channels, and multi-targets. This suggests that Artemisia annua might be developed as a promising anti-NSCLC drug.
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影响因子：
16.6
作者：
Wang J;Zhang CJ;Chia WN;Loh CC;Li Z;Lee YM;He Y;Yuan LX;Lim TK;Liu M;Liew CX;Lee YQ;Zhang J;Lu N;Lim CT;Hua ZC;Liu B;Shen HM;Tan KS;Lin Q
通讯作者：
Lin Q
影响因子：
3.7
作者：
Li SG;Chen HY;Ou-Yang CS;Wang XX;Yang ZJ;Tong Y;Cho WC
通讯作者：
Cho WC
DOI：
10.3736/jcim20080206
发表时间：
2008-02
期刊：
Zhong xi yi jie he xue bao = Journal of Chinese integrative medicine
影响因子：
--
作者：
Zhu-Yi Zhang;Shi-qing Yu;L. Miao;Xiao-ying Huang;Xiaoping Zhang;Yu-Ping Zhu;Xiaoting Xia;Dan-Qi Li
通讯作者：
Zhu-Yi Zhang;Shi-qing Yu;L. Miao;Xiao-ying Huang;Xiaoping Zhang;Yu-Ping Zhu;Xiaoting Xia;Dan-Qi Li
影响因子：
5.8
作者：
Efferth, Thomas
通讯作者：
Efferth, Thomas
青蒿素及其衍生物通过Wnt/β-catenin信号通路显着抑制肺部肿瘤发生和肿瘤转移
影响因子：
--
作者：
Tong Y;Liu Y;Zheng H;Zheng L;Liu W;Wu J;Ou R;Zhang G;Li F;Hu M;Liu Z;Lu L
通讯作者：
Lu L