基于网络药理学探究桂枝茯苓丸治疗宫颈癌的作用机制
Exploring the Mechanism of Guizhi Fuling Pills in the Treatment of Cervical Cancer Based on Network Pharmacology
DOI: 10.12677/TCM.2023.128346, PDF,   
作者: 丁玲玲:湖北中医药大学附属新华医院,湖北 武汉
关键词: 桂枝茯苓丸宫颈癌网络药理学Guizhi Fuling Pill Cervical Cancer Network Pharmacology
摘要: 目的:探究桂枝茯苓丸治疗宫颈癌的作用机制。方法:利用TCMSP数据库筛选桂枝茯苓丸中各药物的活性化合物及靶点。利用Gene Cards数据库检索宫颈癌的疾病靶点,根据药物靶点与疾病靶点构建桂枝茯苓丸活性化合物靶点与疾病靶点的Venn图、化合物–靶点相互作用网络图、PPI网络图,并进行GO功能富集分析和KEGG通路富集分析。结果:筛选出桂枝茯苓丸中共69个活性化合物,对应宫颈癌274个靶点,通过数据分析得出,桂枝茯苓丸治疗宫颈癌的核心有效活性成分有山柰酚、β-谷固醇、常春藤皂苷元、槲皮素、聚孔酸C、啤酒甾醇、氢化松苓酸、儿茶素等,其治疗宫颈癌的核心靶点有PTPN1、HMGCR、CYP19A1、NR3C1、PTGS2、PTPN2、PTGES等;通过交集靶点PPI分析得出桂枝茯苓丸治疗宫颈癌核心靶标为TP53、非受体酪氨酸激酶、丝裂原激活蛋白激酶3、连环蛋白β1、苏氨酸激酶1、表皮生长因子受体及血管内皮生长因子A等;涉及的反应有蛋白质磷酸化、细胞凋亡过程的负调控、肽基酪氨酸磷酸化及对外源刺激的反应等;细胞过程涉及的部分有细胞质、质膜、膜筏及受体复合物等;分子过程涉及到蛋白丝氨酸/苏氨酸/酪氨酸激酶活性、蛋白酪氨酸激酶活性、ATP结合及跨膜受体蛋白酪氨酸激酶活性等;涉及的关键信号通路有PI3K-Akt信号通路、蛋白多糖在癌症中的作用、脂质与动脉粥样硬化及EGFR酪氨酸激酶抑制剂耐药等。结论:桂枝茯苓丸中活性化合物可以通过关键靶点调控机体的应激反应及免疫反应达到治疗宫颈癌的效果,是多成分、多靶点、多途径相互作用的结果,为桂枝茯苓丸更好地应用于临床提供一定的理论依据。
Abstract: Objective: To explore the mechanism of Guizhi Fuling pills in treating cervical cancer. Methods: The active compounds and targets of each drug in Guizhi Fuling Pills were screened through the TCMSP database. The Gene Cards database was used to search the disease targets of cervical cancer, and the Venn diagram, the compound-target interaction network diagram, and the PPI network dia-gram of the active compound targets and disease targets of Guizhi Fuling Pills were constructed ac-cording to the drug targets and disease targets. GO functional enrichment analysis and KEGG path-way enrichment analysis were performed. Results: A total of 69 active compounds in Guizhi Fuling pills were screened out, corresponding to 274 targets of cervical cancer. Through data analysis, it was concluded that the core effective active ingredients of Guizhi Fuling pills in the treatment of cervical cancer are kaempferol and β-sitosterol, hedera saponin, quercetin, polyporic acid C, Cere-visterol, hydropine pinic acid, catechin, etc., and its core targets for the treatment of cervical cancer include PTPN1, HMGCR, CYP19A1, NR3C1, PTGS2, PTPN2, PTGES et al. Through the analysis of in-tersection target PPI, it is concluded that the core targets of Guizhi Fuling Pills in the treatment of cervical cancer are TP53, non-receptor tyrosine kinase, mitogen-activated protein kinase 3, catenin β1, threonine kinase 1, epidermis Growth factor receptors and vascular endothelial growth factor A, etc.; the reactions involved include protein phosphorylation, negative regulation of apoptosis pro-cess, peptidyl tyrosine phosphorylation and response to external stimuli, etc.; the part involved in cell processes includes cytoplasm , plasma membrane, membrane rafts and receptor complexes, etc.; molecular processes involving protein serine/threonine/tyrosine kinase activity, protein tyro-sine kinase activity, ATP binding and transmembrane receptor protein tyrosine kinase activity etc.; the key signaling pathways involved include PI3K-Akt signaling pathway, the role of proteoglycan in cancer, lipids and atherosclerosis, and EGFR tyrosine kinase inhibitor resistance, etc. Conclusion: The active compounds in Guizhi Fuling Pills can regulate the body’s immune response and stress response to treat cervical cancer through key targets. It provides a certain theoretical basis for clin-ical application.
文章引用:丁玲玲. 基于网络药理学探究桂枝茯苓丸治疗宫颈癌的作用机制[J]. 中医学, 2023, 12(8): 2310-2321. https://doi.org/10.12677/TCM.2023.128346

参考文献

[1] 周琦, 吴小华, 刘继红, 等. 宫颈癌诊断与治疗指南(第四版) [J]. 中国实用妇科与产科杂志, 2018, 34(6): 613-622.
[2] 张晓金, 归绥琪. 宫颈癌发病机制的研究进展[J]. 中国妇幼健康研究, 2008, 19(1): 56-59.
[3] 李道娟, 师金, 靳晶, 等. 宫颈癌的流行病学趋势[J]. 中华肿瘤杂志, 2021, 43(9): 912-916.
[4] 刘倩, 王玮. 浅谈宫颈癌临床治疗新进展[J]. 实用医学杂志, 2018, 34(1): 5-7.
[5] 黄曼妮, 吴令英, 高菊珍. 宫颈癌的同步放化疗[J]. 癌症进展, 2004, 2(5): 320-326.
[6] 杨海霞, 郭璟静, 静茹. 八珍汤加减联合艾灸对中晚期宫颈癌放化疗患者耐受力, 止痛效果和生活质量的影响[J]. 中国实验方剂学杂志, 2018, 24(9): 173-178.
[7] 席沙, 李军, 魏会珍, 等. 宫颈癌的中医外治法研究进展[J]. 环球中医药, 2018, 11(10): 1649-1652.
[8] 吴洁. 《金匮要略》妇人病治疗特点探要[J]. 中医文献杂志, 2011, 29(6): 44.
[9] 宿佩勇, 王健. 桂枝茯苓丸研究进展[J]. 中药药理与临床, 2015, 31(1): 356-358.
[10] 韩彦龙. 桂枝茯苓丸抗肿瘤作用的实验研究[J]. 牡丹江医学院学报, 2003, 24(6): 9-11.
[11] Ru, J., Li, P., Wang, J., et al. (2014) TCMSP: A Database of Systems Pharmacology for Drug Discovery from Herbal Medicines. Journal of Cheminformatics, 6, Article No. 13. [Google Scholar] [CrossRef] [PubMed]
[12] 朱梓铭, 张因彪, 郑景辉, 等. 基于网络药理学探究苓桂术甘汤治疗慢性心力衰竭的作用机制[J]. 临床心血管病杂志, 2019, 35(2): 154-161.
[13] The UniProt Consortium (2015) UniProt: A Hub for Protein Information. Nucleic Ac-ids Research, 43, D204-D212. [Google Scholar] [CrossRef] [PubMed]
[14] Daina, A., Michielin, O. and Zoete, V. (2019) SwissTargetPrediction: Up-dated Data and New Features for Efficient Prediction of Protein Targets of Small Molecules. Nucleic Acids Research, 47, W357-W364. [Google Scholar] [CrossRef] [PubMed]
[15] Stelzer, G., Rosen, N., Plaschkes, I., et al. (2016) The GeneCards Suite: From Gene Data Mining to Disease Genome Sequence Analyses. Current Protocols in Bioinformatics, 54, 1.30.1-1.30.33. [Google Scholar] [CrossRef] [PubMed]
[16] Piñero, J., Bravo, À., Queralt-Rosinach, N., et al. (2016) Dis-GeNET: A Comprehensive Platform Integrating Information on Human Disease-Associated Genes and Variants. Nucleic Acids Research, 45, D833-D839. [Google Scholar] [CrossRef] [PubMed]
[17] Oliveros, J.C. (2007) An Interactive Tool for Comparing Lists with Venn Diagrams. http://bioinfogp.cnb.csic.es/tools/venny/index.html
[18] Shannon, P., Markiel, A., Ozier, O., et al. (2003) Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks. Genome Research, 13, 2498-2504. [Google Scholar] [CrossRef] [PubMed]
[19] Szklarczyk, D., Gable, A.L., Nastou, K.C., et al. (2021) The STRING Database in 2021: Customizable Protein-Protein Networks, and Functional Characterization of User-Uploaded Gene/Measurement Sets. Nucleic Acids Research, 49, D605-D612. [Google Scholar] [CrossRef] [PubMed]
[20] Dennis, G., Sherman, B.T., Hosack, D.A., et al. (2003) DAVID: Data-base for Annotation, Visualization, and Integrated Discovery. Genome Biology, 4, Article No. R60. [Google Scholar] [CrossRef
[21] Zou, L.A. and Jian, Q. (2021) Identification of Hub Genes and Pathways in Psoriasis through Bioinformatics and Validation by RT-qPCR. [Google Scholar] [CrossRef
[22] 叶坤, 雷敏, 谢欣, 等. 基于网络药理学与分子对接技术探讨黄芪建中汤治疗腹泻型肠易激综合征的作用机制研究[J]. 中国全科医学, 2022, 25(15): 1814-1824.
[23] Liu, G., Wong, L. and Chua, H.N. (2009) Complex Discovery from Weighted PPI Networks. Bioinformatics, 25, 1891-1897. [Google Scholar] [CrossRef] [PubMed]
[24] 张霆. 肺癌治疗中扶正与祛邪关系的思考[J]. 吉林中医药, 2006, 26(12): 1-3.
[25] 赵玉娥, 郝向阳, 张美丽. 扶正与祛邪法则在辨证施治中的运用[J]. 中兽医学杂志, 2011(4): 42-44.
[26] 陈晨, 刘倩, 高华. 活血化瘀药药理作用研究进展[J]. 中国药事, 2011, 25(6): 603-605.
[27] 吴修红, 杨恩龙, 何录文, 等. 桂枝茯苓丸治疗血瘀证研究进展[J]. 中医药信息, 2014, 31(5): 133-135.
[28] 陈锐深, 张玉珍, 胡艳. 桂枝茯苓丸治疗妇科肿瘤临证体会[J]. 广州中医药大学学报, 2008, 25(6): 482-484.
[29] 霍炽文, 林小琦. 桂枝茯苓丸治疗肾虚督寒型宫颈癌[J]. 中医学报, 2019, 34(3): 634-637.
[30] 龚星, 陈国庆. 生脉饮合桂枝茯苓丸对宫颈癌术后放化疗患者近期疗效及免疫功能的影响[J]. 现代中西医结合杂志, 2018, 27(20): 2241-2243.
[31] 杨广, 罗利平. 桂枝茯苓丸对宫颈癌细胞生物学行为的影响及作用机制[J]. 四川中医, 2021, 39(4): 54-57.
[32] 王程, 杨运高, 王学良. 活血化瘀经典方剂对小鼠大肠癌肝转移模型端粒酶及p53、c-erbB-2、Bcl-2基因表达的影响[J]. 第一军医大学学报, 2004, 24(7): 758-760.
[33] 陶蓉, 于翠革. 桂枝茯苓丸对子宫内膜异位症患者MEK-2、p-ERK和VEGF表达影响[J]. 辽宁中医药大学学报, 2016, 18(12): 131-134.
[34] 孙艳, 王琪, 罗晓庆. 桂枝茯苓丸对荷瘤鼠肿瘤细胞PCNA P21~(waf/cip)的影响[J]. 中华中医药学刊, 2007, 25(6): 1153-1155.