Effect of Yangjinhua on intra-articular inflammatory response after knee surgery
ZHANG Ji-zheng,REN Wan-lu
Department of Anesthesiology, Tianjin Hospital, Tianjin300202, China
Abstract:
Objective To conduct data mining on immune cell data in knee joint in GEO database, and construct a component-target network map and molecular docking between components and macrophage associated differentially expressed genes (DEMRGs). Methods Downloading the GSE279915 dataset and related data on the components and their targets. limma data package and correlation analysis were used to obtain DEMRGs, and the pathway enrichment analysis and the composition-target interaction network were carried out to obtain the key genes. To detect the relationship between the components and the selected differential genes, we used molecular docking to verify the binding. Results Compared the transcriptomic data of monocytes and macrophages in knee joint, 679 up-regulated and 859 down-regulated differentially expressed genes were obtained. The intersection genes of associated targets and DEMRGs were obtained by using Venn diagram. The composition-target interaction network was constructed using STRING database. The top 10 Degree key genes were TNF, IL-6, AKT1, ESR1, PTGS2, INS, IL-1β, BCL2, CASP3 and GSK3B. Molecular docking results showed that Rutin and quercetin could bind to IL-1β, IL-6 and TNF, and thus exert anti-inflammatory effects. ConclusionYangjinhua and its active ingredients exert anti-inflammatory and analgesic effects through multiple targets and pathways, and have potential application value in perioperative management of knee joint surgery.
