Study on the Anti-inflammatory Mechanism of Rose Based on Network Pharmacology

OBJECTIVE To predict the active components and action targets of rose by network pharmacology. METHODS All chemical constituents of roses were searched by TCMID and TCMSP, and screened the active chemical constituents of roses. Then through TCMSP database and BATMAN-TCM database, the action target of active compound was found, and the complex network diagram of "active component-target-disease" was constructed by Cytoscape 3.6.1 software. Biological information annotation database(DAVID) were used to analyze the Gene ontology(GO) functional enrichment analysis and KEGG pathway enrichment analysis. RESULTS A total of 121 compounds were retrieved, of which 7 compounds were used as active compounds, 197 action targets were retrieved, and 45 potential action targets were screened out through network topology evaluation. DAVID database was used to screen out 66 biological processes and 18 signal pathways involved in the anti-inflammatory effects of roses. The signaling pathways most closely relate to rose anti-inflammatory included NF-κB, TNF, MAPK and so on. At the same time, the main biological processes involved included the positive regulation of I-κB kinase/NF-κB signaling pathway, the positive regulation of NF-κB transcription factor activity and Toll-like receptor signaling pathway dependent on TRIF, et al. CONCLUSION This study reveals the potential targets, biological processes and signaling pathways of anti-inflammatory effects of roses. It is found that it has the characteristics of multiple components, multiple targets and multiple pathways, which lay the foundation for further experimental research.