Study on mechanism and Huanglong Mixture in the treatment of children with cough variant asthma and experimental verification based on network pharmacologic analysis
10.3760/cma.j.cn115398-20221127-00453
- VernacularTitle:基于网络药理学研究黄龙合剂治疗小儿咳嗽变异性哮喘的机制及实验验证
- Author:
Xixi JI
1
;
Aihua WANG
;
Hongyan LONG
Author Information
1. 南京中医药大学2023级博士研究生，南京 210046
- Keywords:
Molecular mechanisms of pharmacological action (TCD);
Cough variant asthma;
Huanglong mixture;
Network pharmacology;
Molecular docking simulation;
IL-4/STA
- From:
International Journal of Traditional Chinese Medicine
2024;46(2):196-202
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To study the the mechanism of action of Huanglong Mixture in the treatment of cough variant asthma (CVA) in children based on the IL-4/signal transduction and activator of transcription 6 (STAT6) signaling pathway using network pharmacology methods, molecular docking techniques, and in vitro cell experiments.Methods:The components and targets of various TCM components in Huanglong Mixture were searched in TCMSP database, HERB database and literature, and the disease targets of CVA were found in Gene Cards database, OMIM database, DrugBank database and PharmGkb database. The STRING database was used to construct the protein-protein interaction network, and Cytoscape 3.9.1 was used for topology analysis to screen out the core targets. The disease-drug-component-target network was constructed to screen out the core components. The KEGG enrichment analysis and GO enrichment analysis of the intersection targets were performed using Metascape software. PDB protein database, PubChem, Autodock and R language were used for molecular docking verification of core targets and core drug components. Finally, rat primary airway smooth muscle cells were cultured, modeled with interleukin-4 (IL-4), and p-STAT6 expression in the cytoplasm and nucleus was detected by Western blot.Results:A total of 122 effective components were obtained, including quercetin, kaempferol, luteolin and so on. The core targets included JUN, ESR1, TP53, MYC, HIF1, etc. GO enrichment analysis involved biological processes such as response to external stimuli, response to oxygen levels, positive regulation of protein phosphorylation, and regulation of cellular stress response. KEGG enrichment analysis showed that the main pathways of Huanglong Mixture in treating CVA included advanced glycation end product-glycation end product receptor (AGE-RAGE) signaling pathway, phosphatidylinositol-3-kinase-protein kinase B (PI3K-Akt) signaling pathway, tumor necrosis factor (TNF) signaling pathway, Janus kinase/signal transduction activation factor (JAK-STAT) signaling pathway. Molecular docking found that the core targets and core drug components had good combination. Cell experiments also confirmed that Huanglong Mixture could inhibit p-STAT6 entering the nucleus.Conclusions:The effective components and targets of Huanglong Mixture in the treatment of CVA are successfully predicted. The mechanism of Huanglong Mixture in the treatment of children with CVA may be related to the inhibition of IL-4/STAT6 signaling pathway.
