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Pharmacy Information 2024
基于网络药理学探讨血人参治疗肺痈的可行性和潜在机制
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Abstract:
目的:通过网络药理学和分子对接探讨血人参(Indigofera stachyodes Lindl.)治疗肺痈的可行性和潜在机制。方法:将血人参药材用水煎煮浓缩为1.0 g/ml的药液,大鼠随机分为空白血浆组、给药后1 h采血组、给药后2 h采血组、给药后3 h采血组4组(每组8只),连续灌胃一周,分别采血,制备血浆,运用液质联用技术对四组血浆的化学成分进行鉴定,然后用Venny 2.1作Venn图进行筛选;通过TCMSP、SymMap、SwissTargetPrediction、SEA等数据库筛选血人参成分及靶点。通过GeneCards、OMIM数据库筛选肺痈的疾病靶点。通过R语言获取药物疾病交集靶点,通过蛋白互作和PPI分析获得关键靶点,并利用关键靶点进行KEGG、GO富集分析以及分子对接。结果:通过HPLC-MS分析并排除TCMSP中搜索不到的成分,获得Hypoxanthine等11个血人参活性化合物,337个靶点,2243个肺痈的疾病靶点,“血人参–肺痈”交集靶点113个,关键基因15个,KEGG富集分析结果显示,血人参主要通过调控VEGF信号通路、Rap1信号通路、TNF信号通路等参与肺痈的调节机制。分子对接结果显示,EGFR与Fisetin的亲和力最高;SRC与Fisetin的亲和力最高;PLCG1与2-Naphthylamine的亲和力最高;PIK3R1与Fisetin的亲和力最高;PTK2与Fisetin的亲和力最高。结论:血人参的活性成分可能通过影响免疫反应、炎症反应和细胞凋亡等生物学过程,发挥治疗肺痈的作用。
Objective: To explore the feasibility and potential mechanisms of the treatment of lung abscess with Indigofera stachyodes Lindl. through network pharmacology and molecular docking. Methods: The medicinal material of I. stachyodes Lindl. was decocted in water and concentrated into a medicinal solution of 1.0 g/ml. Rats were randomly divided into four groups, including the blank plasma group, the blood collection group at 1 h after administration, the blood collection group at 2 h after administration, and the blood collection group at 3 h after administration (8 rats in each group). The rats were given continuous intragastric administration for one week. Blood samples were collected from each group, and plasma was prepared. The chemical components of the plasma from the four groups were identified by Liquid Chromatography-Mass Spectrometry (LC-MS) and Venn diagrams were performed for screening by Venny 2.1. The chemical components and targets of I. stachyodes Lindl. were screened by TCMSP, SymMap, SwissTargetPrediction, and SEA databases. Disease targets of lung abscess were screened by GeneCards, OMIM database. Drug-disease intersection targets were obtained through R language, key targets were obtained through protein interactions and PPI analysis, and KEGG, GO enrichment analysis and molecular docking were performed using key targets. Results: Through HPLC-MS analysis and exclusion of components that could not be searched in TCMSP, 11 active compounds of I. stachyodes Lindl. such as Hypoxanthine were obtained, along with 337 targets, 2243 disease targets related to lung abscess, and 113 intersection targets
[1] | 陈田全, 文纲, 魏升华. 贵州苗药血人参野生资源调查研究[J]. 安徽农业科学, 2014, 42(11): 3235-3237. |
[2] | 李开敏, 刘育辰, 刘刚, 等. 苗药血人参研究进展及质量标志物预测分析[J]. 亚太传统医药, 2023, 19(5): 68-75. |
[3] | 王小果, 张汝国. 苗药雪人参的研究进展[J]. 中国民族民间医药, 2015, 24(20): 21-22. |
[4] | 李开敏, 刘育辰, 刘刚, 等. 血人参中化学成分鉴定及其保肝活性研究[J]. 中成药, 2023, 45(11): 3826-3833. |
[5] | 贾凯杰, 韩洁茹. 肺痈初期辨证选方嬗变[J]. 山西中医, 2023, 39(11): 51-53. |
[6] | 张皓倩, 杨必安. 基于营卫学说探讨肺痿、肺痈、肺胀的准确辨识[J]. 环球中医药, 2023, 16(7): 1364-1368. |
[7] | 肺痈的诊断依据、证侯分类、疗效评定——中华人民共和国中医药行业标准《中医内科病证诊断疗效标准》(ZY/T001.1-94) [J]. 实用中医内科杂志, 2020, 34(10): 110. |
[8] | 王敬海, 曹爱玲, 周贤梅. 丁甘仁论治肺痈经验浅析[J]. 内蒙古中医药, 2023, 42(10): 45-48. |
[9] | Szklarczyk, D., Gable, A.L., Lyon, D., Junge, A., Wyder, S., Huerta-Cepas, J., et al. (2018) STRING V11: Protein-Protein Association Networks with Increased Coverage, Supporting Functional Discovery in Genome-Wide Experimental Datasets. Nucleic Acids Research, 47, D607-D613. https://doi.org/10.1093/nar/gky1131 |
[10] | Ito, K. and Murphy, D. (2013) Application of ggplot2 to Pharmacometric Graphics. CPT: Pharmacometrics & Systems Pharmacology, 2, 1-16. https://doi.org/10.1038/psp.2013.56 |
[11] | Chen, H. and Boutros, P.C. (2011) Venndiagram: A Package for the Generation of Highly-Customizable Venn and Euler Diagrams in R. BMC Bioinformatics, 12, Article No. 35. https://doi.org/10.1186/1471-2105-12-35 |
[12] | Wu, T., Hu, E., Xu, S., Chen, M., Guo, P., Dai, Z., et al. (2021) ClusterProfiler 4.0: A Universal Enrichment Tool for Interpreting Omics Data. The Innovation, 2, Article ID: 100141. https://doi.org/10.1016/j.xinn.2021.100141 |
[13] | Yang, J., Liao, Q. and Lu, C. (2023) SOX9 Promotes the Invasion and Migration of Lung Adenocarcinoma Cells by Activating the RAP1 Signaling Pathway. BMC Pulmonary Medicine, 23, Article No. 421. https://doi.org/10.1186/s12890-023-02740-w |
[14] | Zhang, N., Liu, Z., Lai, X., Liu, S. and Wang, Y. (2023) Silencing of CD147 Inhibits Cell Proliferation, Migration, Invasion, Lipid Metabolism Dysregulation and Promotes Apoptosis in Lung Adenocarcinoma via Blocking the Rap1 Signaling Pathway. Respiratory Research, 24, Article No. 253. https://doi.org/10.1186/s12931-023-02532-0 |
[15] | De, A. (2011) Wnt/Ca2+ Signaling Pathway: A Brief Overview. Acta Biochimica et Biophysica Sinica, 43, 745-756. https://doi.org/10.1093/abbs/gmr079 |
[16] | Su, Y., Liu, Y., Huang, H. and Lin, C. (2023) Ensemble Learning Model for Identifying the Hallmark Genes of NFκB/TNF Signaling Pathway in Cancers. Journal of Translational Medicine, 21, Article No. 485. https://doi.org/10.1186/s12967-023-04355-5 |
[17] | Webster, J.D. and Vucic, D. (2020) The Balance of TNF Mediated Pathways Regulates Inflammatory Cell Death Signaling in Healthy and Diseased Tissues. Frontiers in Cell and Developmental Biology, 8, Article 365. https://doi.org/10.3389/fcell.2020.00365 |
[18] | Arteaga, C.L. and Engelman, J.A. (2014) ERBB Receptors: From Oncogene Discovery to Basic Science to Mechanism-Based Cancer Therapeutics. Cancer Cell, 25, 282-303. https://doi.org/10.1016/j.ccr.2014.02.025 |
[19] | Yoo, H., Ku, S., Han, M., Kim, K. and Bae, J. (2014) Anti-Septic Effects of Fisetin in Vitro and in Vivo. Inflammation, 37, 1560-1574. https://doi.org/10.1007/s10753-014-9883-4 |
[20] | Ren, Q., Guo, F., Tao, S., Huang, R., Ma, L. and Fu, P. (2020) Flavonoid Fisetin Alleviates Kidney Inflammation and Apoptosis via Inhibiting SRC-Mediated NF-κB P65 and MAPK Signaling Pathways in Septic AKI Mice. Biomedicine & Pharmacotherapy, 122, Article ID: 109772. https://doi.org/10.1016/j.biopha.2019.109772 |