• 中国中文核心期刊
  • 中国科学引文数据库核心期刊
  • 中国科技核心期刊
  • 中国高校百佳科技期刊
高级检索

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
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

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

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)
  • 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.
  • [1] . Suzhou:Soochow University,2018.
    [2] Suo T,Fan H,Chen GZ. Advances in the treatment of viral pneumonia[J]. Med J Wuhan Univ(武汉大学学报 医学版),2020,41(3):378?383.
    [3] Wang HD,Lin Y,Zheng JG. Distribution characteristics and drug resistance of pathogenic bacteria in sputum of lower respiratory tract in children with bacterial pneumonia[J]. J Hunan Normal Univ (Med Sci)(湖南师范大学学报 医学版),2020,17(3):146?150.
    [4] Qin X,Hu LZ. Changes of procalcitonin,C-reactive protein and D-dimer in patients with severe pneumonia and their diagnostic value for prognosis[J]. Med Recapitul (医学综述),2020,26(15):3077?3081.
    [5] Chen WJ,Liu M,Guo SY,et al. Clinical observation 83 cases of severe pneumonia treated with Qihuang Yifei Mixture [J]. Yunnan J Tradit Chin Med Mater Med(云南中医中药杂志),2020,41(4):41?42.
    [6] Philippart F,Bouroche G,Timsit JF,et al. Decreased risk of ventilator-associated pneumonia in sepsis due to intra-abdominal infection[J]. PLoS One,2015,10(9):e0137262.
    [7] Wang ZX,Fan TB. Research progress of traditional Chinese medicine in the treatment of severe pneumonia [J]. J Emerg Tradit Chin Med(中国中医急症),2020,29(5):930?932.
    [8] Lu YR,Ding JY,Liu QQ. Mechanism of immunologic dissonance in severe pneumonia and research progress of traditional Chinese medicine treatment [J]. Med Pharm J Chin PLA(解放军医药杂志),2017,29(4):45?49.
    [9] Yu XQ,Xie Y,Li JS. Guidelines for the diagnosis and treatment of community-acquired pneumonia (2018 revision)[J]. J Tradit Chin Med(中医杂志),2019,60(4):350?360.
    [10] Qiu X. Clinical lecture notes of severe pneumonia treated by traditional Chinese medicine[J]. Chin Foreign Med Res(中外医学研究),2019,17(16):186-188.
    [11] Sun J,Chai LX,Jing W,et al. Discussion of TCM syndrome differentiation thoughts of novel coronavirus pneumonia[J]. Tradit Chin Med Res(中医研究),2020,33(4):1?2.
    [12] Lyu WL. Clinical ideas innovation of febrile diseases based on COVID-19[J]. J Tradit Chin Med Lit(中医文献杂志),2020,38(2):1?4.
    [13] Xu Q,Ba YM,Li WN,et al. Discussing on qingfeidayuan granules in treating new coronary virus pneumonia based on differentiation of diseases[J]. Hubei J Tradit Chin Med(湖北中医杂志),2020,42(4):3?6.
    [14] Wang N,Shen LL,Li H. Technology analysis on TCM hospital preparation in the prophylaxis and treatment of COVID-19[J]. China Invent Pat(中国发明与专利),2020(4):50?54.
    [15] Wang Z,Chen YY,Zhang YY,et al. Problems and solutions in study of multi-component and multi-target mechanism of action of traditional Chinese medicine[J]. Chin J Exp Tradit Med Formulae(中国实验方剂学杂志),2018,24(5):1?6.
    [16] Chen HB,Zhou HG,Li WT,et al. Network pharmacology:a new perspective of mechanism research of traditional Chinese medicine formula[J]. China J Tradit Chin Med Pharm(中华中医药杂志),2019,34(7):2873?2876.
    [17] Xie J,Gao S,Li L,et al. Research progress and application strategy on network pharmacology in Chinese materia medica[J]. Chin Tradit Herb Drugs(中草药),2019,50(10):2257?2265.
    [18] Xu HY,Zhang YQ,Liu ZM,et al. ETCM:an encyclopaedia of traditional Chinese medicine[J]. Nucleic Acids Res,2019,47(D1):D976?D982.
    [19] Zhou SS,Li WN,Ai ZZ,et al. Study on the mechanism of Qingfei Dayuan granule in treatment of COVID-19 based on network pharmacology and molecular docking[J]. Chin Tradit Herb Drugs(中草药),2020,51(7):1804?1813.
    [20] Peng XJ,Yang XJ,Xu G,et al. Investigating mechanism of Qingfei Dayuan granules for treatment of COVID-19 based on network pharmacology and molecular docking[J]. Chin J Exp Tradit Med Formulae(中国实验方剂学杂志),2020,26(16):6?13.
    [21] Ma XB. Microbiological analysis and selection of antibiotic on severe pneumonia infection [J]. Chin J Clin Ration Drug Use(临床合理用药杂志),2018,11(2):90?92.
    [22] Huang L,Zheng YJ,Yang WG,et al. Etiological analysis of 774 cases of severe pneumonia in the area of Shenzhen [J]. Lab Med Clin(检验医学与临床),2020,17(15):2232?2235.
    [23] Khiali S,Khani E,Entezari-Maleki T. A comprehensive review on tocilizumab in COVID-19 acute respiratory distress syndrome[J]. J Clin Pharmacol,2020,60(9):1131?1146.
    [24] Tang MG,Ge ZJ,Lu JJ. Treatment progress of severe pneumonia [J]. Hebei Med J(河北医药),2016,38(8):1247?1249.
    [25] Qu JQ,Zheng Y,Yu R,et al. Discuss on the advantages and characteristics of Traditional Chinese Medicines in the treatment of pneumonia infected by novel coronavirus(论中医药防治新型冠状病毒感染的肺炎的优势与特色)[J/OL]. J Liaoning Univ Tradit Chin Med(辽宁中医药大学学报),2020. http://kns.cnki.net/kcms/detail/21.1543.R.20200519.1555.020.html.
    [26] Wang HY,Mei GQ. Experience of Professor MEI guoqiang applying Chaihu Xianxiong decoction [J]. J New Chin Med(新中医),2012,44(12):180?181.
    [27] Wu ZQ,Yang L,Min N,et al. Effect of Qingzao Jiufei Decoction and its decomposing agent on MP infection Bax,Bcl-2,and Caspase-3[J]. Chin Tradit Herb Drugs(中草药),2018,49(2):389?395.
    [28] Qiu T,Li WH,Zhang TT,et al. Distinct MET protein localization associated with MET exon 14 mutation types in patients with non-small-cell lung cancer[J]. Clin Lung Cancer,2018,19(4):e391?e398.
    [29] Kotani H,Adachi Y,Kitai H,et al. Distinct dependencies on receptor tyrosine kinases in the regulation of MAPK signaling between BRAF V600E and non-V600E mutant lung cancers[J]. Oncogene,2018,37(13):1775?1787.
    [30] Sun J,Shen JX. Research progress on relationship between inflammation and autophagy with acute lung injury[J]. Chin J Immunol(中国免疫学杂志),2019,17(35):2163?2168.
    [31] Zhang XM,Li TS. Cytokine storm and immunotherapy for post-influenza pneumonia[J]. Med Recapitul(医学综述),2020,26(6):1142?1146.
    [32] Li BT,Zhai XY,Li J,et al. Network pharmacology-based study on mechanisms of antipyretic action of Pueraria Radix[J]. Acta Pharm Sin(药学学报),2019,54(8):1409?1416.
    [33] Wang YJ,Liu YS,Zhang M,et al. Inhibition of PTGS1 promotes osteogenic differentiation of adipose-derived stem cells by suppressing NF-kB signaling[J]. Stem Cell Res Ther,2019,10(1):57.
    [34] Yuan A,Liu Q,Rao ZL,et al. Anti-inflammatory mechanism of main constituents in essential oil from Schizonepeta tenuifolia Briq. based on network pharmacology[J]. Chin Pharmacol Bull(中国药理学通报),2020,36(1):97?103.
    [35] Tang Q,Chen S,Gao XD. Advances of mechanisms of metabolic memory-based diabetic complications and therapeutic drugs[J]. J China Pharm Univ(中国药科大学学报),2017,48(5):622?628.
    [36] Yang CM,Yang ZX,Ma XL. The mechanism of AGEs-RAGE signaling pathway in diabetic nephropathy and the progress of Chinese medicine treatment[J]. Acta Chin Med(中医学报),2019,34(9):1864?1868.
    [37] Lu Y,Chen Y,Wang YN,et al. Effect of Banxia Qinlian decoction on Th17/IL-17 immune inflammatory way of Sj?gren''''s Syndrome NOD model mice[J]. Chin J Integr Tradit West Med(中国中西医结合杂志),2015,35(5):612?617.
    [38] Liang JJ,Lv J,Lu LR. The regulation and function of TCR signaling pathway[J]. Chin Bull Life Sci(生命科学),2016,28(2):153?161.
  • 期刊类型引用(5)

    1. 翟红伟,赵玉婷,林露,龙林,万丽娟,胡辉,黄茜茜. 指纹图谱和多成分定量结合化学模式识别法评价清肺达原颗粒质量. 亚太传统医药. 2024(08): 43-48 . 百度学术
    2. 于洋,辛杨,王海军,杨清竹,王伟明. 基于超高效液相色谱/四极杆-静电场轨道阱质谱联合网络药理学筛选“芩百清肺浓缩丸”治疗肺炎的活性成分. 质谱学报. 2024(06): 884-896 . 百度学术
    3. 王优,宋琴,穆卡然·艾买江,李佳川. 基于多元数据融合分析的彝药两头毛治疗胆汁淤积型肝损伤药效及机制研究. 西南民族大学学报(自然科学版). 2022(01): 42-52 . 百度学术
    4. Chang-Liang Yao,Wen-Long Wei,Jian-Qing Zhang,Qi-Rui Bi,Jia-Yuan Li,Ikhlas Khan,Rudolf Bauer,De-An Guo. Traditional Chinese Medicines Against COVID-19: A Global Overview. World Journal of Traditional Chinese Medicine. 2022(03): 279-313 . 必应学术
    5. 胡盼盼. 基于网络药理学和分子对接研究绿原酸抗PRRSV的作用机制. 黑龙江畜牧兽医. 2021(19): 79-83+151-152 . 百度学术

    其他类型引用(3)

计量
  • 文章访问数:  256
  • HTML全文浏览量:  1
  • PDF下载量:  505
  • 被引次数: 8
出版历程
  • 收稿日期:  2020-07-07
  • 修回日期:  2020-09-18
  • 刊出日期:  2020-10-24

目录

    /

    返回文章
    返回
    x 关闭 永久关闭