| To explore the action mechanism of Qijia Fuzheng Formula in the treatment of fatigue-related lung adenocarcinoma.Methods:Based on databases such as TCMSP,TCMID,Pubchem,Swiss Target Prediction,etc.,the active ingredients and targets of Qijia Fuzheng Formula were collected; relevant target genes of “pulmonary adenocarcinoma-related fatigue” from databases such as GeneCards and OMIM were obtained; drug targets were mapped to diseases target set.The intersection genes on the target set were obtained; String was used to construct a protein-protein interaction(PPI) network; Cytoscape was used to construct a drug-component-target regulatory network;DAVID database was used to enrich(GO,KEGG) analysis of the targets of Qijiafuzheng Formula in the treatment of lung adenocarcinoma-related fatigue; Genebank database was used to analyze the tissue and organ location of intersection genes; AutoDock Vina_1.1.2 was used to analyze the main active ingredients and key binding ability of the target,and PYMOL was used software to visualize the docking results.Results:The drug-compound-target network consisted of 9 drugs,108 compounds and 87 targets; and CASP3,VEGFA,EGFR,MYC,IL-6; KEGG enrichment analysis involved PI3K-AKT,p53,TNF,MAPK,ErbB,Ras,FoxO and other pathways; key genes were mainly distributed in lungs,red blood cells,T cells,B cells; molecular docking results showed that EGFR and luteolin,IL-6,MAKP3 and β-sitosterol,MAKP8 and ellagic acid had strong binding ability.Conclusion:The active ingredients of Qijia Fuzheng Formula,such as ellagic acid and β-sitosterol,may act on EGFR,IL-6,MAKP3,MAKP8 and other targets,and then play a role in the treatment of lung adenocarcinoma-related fatigue by regulating the PI3K-AKT pathway effect. |
