哮喘
汤剂
医学
机制(生物学)
药理学
传统医学
内科学
认识论
哲学
作者
Yongguang Han,Xing Lv,Ya-Lan Tan,Yun-Shan Ding,Chaoyun Zhang,Hua Bian
出处
期刊:Combinatorial Chemistry & High Throughput Screening
[Bentham Science]
日期:2024-04-13
卷期号:28 (5): 768-780
标识
DOI:10.2174/0113862073285566240223144925
摘要
Background: Bufei decoction (BFD) is used in clinical practice to treat bronchial asthma (BA), although its molecular mechanism of action remains unclear. Objective: This study aimed to explore the molecular mechanism of BFD for treating BA. Methods: Network pharmacology and molecular docking predicted the molecular mechanism and the analysis results were verified using the ELISA kit and RT-qPCR. Results: There were 58 main active components and 121 potential targets in the BFD from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform( TCMSP), and 11 core targets were obtained from the protein-protein interactions(PPI) network. The gene ontology (GO) analysis found that the treatment of BA with BFD was mainly related to inflammatory reaction, membrane raft, cytokine activity, etc. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis showed that it was mainly related to interleukin (IL)-17 signaling pathway, tumor necrosis factor (TNF) signaling pathway, PI3KAkt signaling pathway, etc. The molecular docking results showed that the main active ingredients had strong binding ability with core targets. BFD significantly reduced the TNF-α, IL-6, and IL-1β and increased the level of IL-10 in rats with BA. BFD also significantly reduced the mRNA level of PI3K, AKT1, and VEGFA while increasing the mRNA level of TP53 in rats. Conclusion: This study used network pharmacology methods to predict the potential active ingredients, targets, and pathways of BFD in treating BA and explore its possible molecular mechanism, which provided a theoretical basis for further study.
科研通智能强力驱动
Strongly Powered by AbleSci AI