Mechanism of Kaempferol in Anti-inflammation Based on Network Pharmacology

Abstract

To explore the mechanism of kaempferol in treatment of anti-inflammation based on network pharmacology. The chemical ingredient targets of kaempferol were obtained from Traditional Chinese Medicine Systems Pharmacology Database (TCMSP). The predicted targets related to predicted targets related to inflammation were obtained from GeneCards database. The prediction target of kaempferol was mapped with the target of inflammation to get the prediction target of kaempferol to anti-inflammatory. Cytoscape 3.7.1 software was used to draw the kaempferol targeted-anti-inflammatory targets network. Protein interaction network was made through STRING database. GO and KEGG were analyzed by the “ClueGO” plug-in of Cytoscape 3.7.1 software. There were 61 targets for kaempferol, 3416 disease genes were obtained, and 50 same targets were found. Important targets were screened out, such as AKT1, TNF, PTGS2, GASP3, MAPK8, JUN and GASP3. KEGG signaling pathways was screened, and 20 signaling pathways were obtained, including TNF signaling pathway, IL-17 signaling pathway, Apoptosis, non-fatty liver disease (NAFLD), and so on. Kaempferol mainly acts on targets of AKT1, TNF, PTGS2, GASP3, MAPK8, JUN, GASP3 and other targets to inhibit inflammation through signaling pathways including TNF signaling pathway, IL-17 signaling pathway, Apoptosis, non-alcoholic fatty liver disease (NAFLD), etc.