Analysis of anti-inflammation mechanism of zukamu granules based on network pharmacology and hs-spme-gc-ms
10.13220/j.cnki.jipr.2019.06.007
- Author:
Shuai-Hong HOU
1
Author Information
1. Hubei University of Chinese Medicine
- Publication Type:Journal Article
- Keywords:
Anti-inflammation;
Headspace-solid phase microextrac- tion(SPME);
Network pharmacology;
Zukamu granules
- From:
Journal of International Pharmaceutical Research
2019;46(6):441-455
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To explore the material basis and anti-inflammatory mechanisms of Zukamu granules (ZKMG)based on the headspace-solid phase microextraction-gas chromatography-mass spectrometry(HS-SPME-GCMS) technique and network pharmacology analyses. Methods: HS-SPME-GC-MS technique was used to extract and identify the volatile components of ZKMG. Then combined with the non-volatile components obtained by literature retrieval, we constructed the main chemical composition table. The bioactive components were screened based on the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP), and their targets were predicted by the Swiss Target Prediction database. Thereafter, the anti-inflammatory-related targets were screened based on the Thera- peutic Targets Datebase and DrugBank with”Anti-inflammatory”as keyword. Then, the STRING database to analyze protein-protein interaction(PPI)and the software of Cytoscape 3.6.1 was used to construct the component-target-antiinflammatory target network. Finally, enrichment of function and signaling pathways of the target genes was conducted by Gene Ontology(GO)database and the Database for Annotation, Visualization and Integrated Discovery(DAVID). Re- sults: Thirty bioactive components including thymol, kaempferol and quercetin in ZKMG were screened out. Ninety-seven targets were predicted and AKR1B1, ALOX15, ALOX5, CYP1A2, EGFR, CHRM1, NOS3, PLA2G1B, PTGS2, BCHE were key anti-inflammatory targets. Sixty-eight pathways related to anti-inflammation were obtained by KEGG enrichment analysis, mainly including arachidonic acid metabolism, MAPK signaling pathway, inflammatory mediator regulation of TRP channels, IL-17 signaling pathway and NF-κB signaling pathway. Conclusion: This study focuses on the chemical constituents of ZKMG and network pharmacology to predict the material basis and pharmacological mecha- nism of their anti-inflammatory effect, which lays a good foundation for the verification of the later biological experiments and provides certain reference basis for the research on the anti-inflammation mechanism of other compound preparations.
