Osteoarthritis (OA) is a degenerative joint disease caused by many factors. Astragali Radix (Huangqi), a traditional Chinese medicine (TCM), is widely used to treat OA. Although it can inhibit the progression of OA, its pharmacological mechanism is unclear. In this study, we used a network pharmacological approach to determine the mechanism by which Huangqi inhibits the progression of OA. We obtained the active ingredients of Huangqi from the Traditional Chinese Systems Pharmacology database and identified potential targets of these ingredients. Next, we identified the OA-related targets by using the GeneCards and Online Mendelian Inheritance in Man databases. Then, a protein-protein interaction (PPI) network was established based on the overlapping genes between the Huangqi targets and the OA targets, and the interactions were analyzed. Subsequently, the Metascape database was used to perform the Gene Ontology biological functions and Kyoto Encyclopedia of Genes and Genomes pathways enrichment analysis. Furthermore, selected active ingredients and corresponding targets were investigated through molecular docking. In total, 20 active ingredients and 206 related targets were identified. The results of Gene Ontology enrichment analysis showed that the intersection targets were mainly involved in immune inflammation, proliferation, and apoptosis. The Kyoto Encyclopedia of Genes and Genomes pathway analysis revealed that Huangqi might exert antiosteoarthritis effect mainly through the PI3K-Akt signaling pathway, apoptosis, the mitogen-activated protein kinases signaling pathway, and the p53 signaling pathway. Moreover, the molecular docking results indicated that quercetin and kaempferol exhibited the good binding capacity to transcription factor JUN, tumor necrosis factor, and protein kinase B. In summary, we investigated the therapeutic effects of Huangqi from a systemic perspective. These key targets and pathways provide promising directions for future studies to reveal the exact regulating mechanism of Huangqi against OA.
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http://dx.doi.org/10.1097/MD.0000000000029885 | DOI Listing |
Chem Biodivers
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