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基于网络药理学探究清肺达原颗粒治疗肺炎的药理作用机制

甘大莉, 师军凤, 杨素琴, 向梅先

甘大莉, 师军凤, 杨素琴, 向梅先. 基于网络药理学探究清肺达原颗粒治疗肺炎的药理作用机制[J]. 中国药科大学学报, 2020, 51(5): 568-576. DOI: 10.11665/j.issn.1000-5048.20200508
引用本文: 甘大莉, 师军凤, 杨素琴, 向梅先. 基于网络药理学探究清肺达原颗粒治疗肺炎的药理作用机制[J]. 中国药科大学学报, 2020, 51(5): 568-576. DOI: 10.11665/j.issn.1000-5048.20200508
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GAN Dali, SHI Junfeng, YANG Suqin, XIANG Meixian. Pharmacological mechanism of Qingfei Dayuan Granules for the treatment of pneumonia by network pharmacology[J]. Journal of China Pharmaceutical University, 2020, 51(5): 568-576. DOI: 10.11665/j.issn.1000-5048.20200508
Citation: GAN Dali, SHI Junfeng, YANG Suqin, XIANG Meixian. Pharmacological mechanism of Qingfei Dayuan Granules for the treatment of pneumonia by network pharmacology[J]. Journal of China Pharmaceutical University, 2020, 51(5): 568-576. DOI: 10.11665/j.issn.1000-5048.20200508
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基于网络药理学探究清肺达原颗粒治疗肺炎的药理作用机制

  • 中南民族大学药学院,武汉 430074

基金项目: 国家自然科学基金资助项目（No.31200264）；中央高校基本科研业务费专项资金资助项目（No.CZY19028，No.CZY20048）

Pharmacological mechanism of Qingfei Dayuan Granules for the treatment of pneumonia by network pharmacology

Funds: This study was supported by the Natural Science Foundation of China (No.31200264) and the Fundamental Research Funds for Central Universities (No.CZY19028,No.CZY20048)

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    摘要
  • 摘要: 采用网络药理学方法研究清肺达原颗粒治疗肺炎的潜在作用机制。利用中药整合药理学平台（TCMIP）获取清肺达原颗粒的活性成分及其相关靶标；利用Cytoscape 3.7.2软件构建“成分－靶标－疾病”网络与PPI网络；在TCMIP平台进行GO功能富集分析和KEGG通路富集分析，获取清肺达原颗粒治疗肺炎的“中药材－化学成分－关键靶标－作用通路”的多维网络分析结果，探讨其多成分多靶点多作用通路治疗肺炎的作用机制。在清肺达原颗粒中筛选出474个活性成分和865个药物作用靶点；其核心靶标为NF-κB、TNF-α、MAPK3、IL-1β、PTGS、CASP3等；GO功能富集分析表明药物可能通过免疫调节、细胞凋亡等干预炎症；KEGG信号通路分析表明主要与糖尿病并发症AGE-RAGE通路、IL-17通路、T细胞受体通路、肿瘤坏死因子信号通路等密切相关。清肺达原颗粒能通过多成分、多靶点、多途径的作用方式，从炎症反应、免疫调节等发挥其治疗肺炎的作用。
    Abstract: To explore the potential mechanism of Qinfei Dayuan Granules for the treatment of pneumonia by the network pharmacology, the potential active ingredients and drug targets of Qinfei Dayuan Granules were obtained through the Integrative Pharmacology-based Research Platform of Traditional Chinese Medicine (TCMIP). The "component-target-disease" network and PPI network were constructed by Cytoscape 3.7.2 software, and GO functional enrichment analysis and KEGG pathway enrichment analysis were performed on the TCMIP platform to obtain a multi-dimensional network analysis of the "Chinese medicinal materials-chemical components-key targets-action pathways" and to explore the mechanism of its multi-component multi-target multi-action pathways of Qinfei Dayuan Granules for the treatment of pneumonia. A total of 474 active ingredients and 865 drug targets were identified from Qinfei Dayuan Granules; the key core targets of drugs include NF-κB, TNF-α, MAPK3, IL-1β, PTGS and CASP3, etc.. The results of GO functional enrichment analysis showed that drugs may interfere with inflammation through biological pathways such as immune regulation and apoptosis. KEGG signal pathway enrichment analysis showed that it was mainly related to the diabetic complications AGE-RAGE signaling pathway, IL-17 signaling pathway, T cell receptor signaling pathway and tumor necrosis factor signaling pathway, etc.. Qinfei Dayuan Granules can exert its effect on the treatment of pneumonia through inflammatory response and immune system with multi-ingredient, multi-target and multi-pathway pharmacological characteristics.
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  • 收稿日期:  2020-07-07
  • 修回日期:  2020-09-18
  • 刊出日期:  2020-10-24

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