ABSTRACT
Objective: To study the anti-fatigue mechanism of Epimedii Folium by network pharmacology. Methods: The main active ingredients of Epimedii Folium and the targets of active ingredients were obtained by TCMSP. The GeneCards was used to predict and screen the anti-fatigue targets. The Cytoscape 3.6.1 software was used to construct the active ingredient-disease-target network. The protein interactions network was constructed using the String database. The GO enrichment and KEGG pathways of the targets were analyzed by using DAVID database. Results: Nine active ingredients were screened from Epimedii Folium, including chrysoeriol, kaempferol, anhydroicaritin, C-homoerythrinan,1,6-didehydro-3,15,16-trimethoxy-,(3.beta.)-, 8-(3-methylbut-2-enyl)-2-phenyl- chromone, luteolin, magnograndiolide, quercetin, 8-isopentenyl-kaempferol, which acted on 31 fatigue targets such as PPARG, GABRA1, CASP3, ICAM1, etc. Biological function analysis showed that the targets of Epimedii Folium included cellular response to hypoxia, regulation of apoptotic, positive regulation of nitric oxide biosynthetic, cellular response to hydrogen peroxide, cellular response to hyperoxia, and negative regulation of lipid storage. Signaling pathway analysis showed that Epimedii Folium exerted the anti-fatigue effect by regulating PI3K-Akt, P53, HIF-1, TNF, FoxO, ErbB, MAPK, and other pathways. Conclusion: This study reflects the characteristics of multi-component, multi-target, and multi-pathway of Epimedii Folium, which provides reference for further research on the mechanism of anti-fatigue effects of Epimedii Folium.