Volume 38 Issue 6
Jun.  2022
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Article Navigation >  Journal of Nanjing University of traditional Chinese Medicine  > 2022  >  38(6): 496-503
WANG Xuan, QIAN Gui-ying, LING Xiao-ying, YAN Hua, WANG Shou-chuan, SHAN Jin-jun. The Network Pharmacological Study and Experimental Verification of Huanglong Antitussive Granule in the Treatment of Asthma[J]. Journal of Nanjing University of traditional Chinese Medicine, 2022, 38(6): 496-503. doi: 10.14148/j.issn.1672-0482.2022.0496
Citation: WANG Xuan, QIAN Gui-ying, LING Xiao-ying, YAN Hua, WANG Shou-chuan, SHAN Jin-jun. The Network Pharmacological Study and Experimental Verification of Huanglong Antitussive Granule in the Treatment of Asthma[J]. Journal of Nanjing University of traditional Chinese Medicine, 2022, 38(6): 496-503. doi: 10.14148/j.issn.1672-0482.2022.0496
shu

The Network Pharmacological Study and Experimental Verification of Huanglong Antitussive Granule in the Treatment of Asthma

doi: 10.14148/j.issn.1672-0482.2022.0496
  • 1.

    Jiangsu Key Laboratory of Pediatric Respiratory Disease, Institute of Pediatrics, Nanjing University of Chinese Medicine, Nanjing 210023, China

  • 2.

    Changshu Affiliated Hospital of Nanjing University of Chinese Medicine, Suzhou 215500, China

  • 3.

    Jiangsu Engineering Research Center for Efficient Delivery System of TCM, Nanjing 210023, China

  • Received Date: 2021-11-17
    Available Online: 2022-06-07
    Abstract
  •   OBJECTIVE  Combining network pharmacology methods and experimental verification to explore the target and potential mechanism of Huanglong Antitussive Granule in treating asthma.  METHODS  With the help of TCMSP, TCMID, Swiss Target Prediction and other databases, the chemical components and targets of Huanglong Antitussive Granule are searched. Through GeneCards, OMIM, Disgenet, Drugbank database to screen out the disease targets of asthma. Use Cytoscape software to construct a network diagram of "drug-component-target-disease" and the interaction relationship between potential targets, and predict the mechanism of action through enrichment analysis. Mice model of asthma was constructed, and the results of network pharmacology enrichment analysis were verified by pathological staining, Elisa detection, q-PCR and Western Blot.  RESULTS  A total of 175 active ingredients, 1 026 drug targets, 900 disease targets for asthma and 153 common drug-disease targets were obtained in Huanglong Antitussive Granule. A total of 1 967 entries were obtained by GO enrichment analysis, and KEGG pathway enrichment screened out a total of 84 signaling pathways including TNF signaling pathways. Animal experiments show that Huanglong Antitussive Granule can effectively improve airway inflammation in asthmatic mice, and inhibit the MAPK and NF-κB signaling pathways by affecting the TNF signaling pathway.  CONCLUSION  This study initially revealed the mechanism of action of Huanglong Antitussive Granule in treating asthma, providing a reference for clinical medication and follow-up research.

     

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