Study on the effect and mechanism of quercetin in treating gout arthritis

Autor: Wei Feng, Xiao-Qin Zhong, Xue-Xia Zheng, Qing-Ping Liu, Min-Ying Liu, Xiao-Bao Liu, Chang-Song Lin, Qiang Xu
Rok vydání: 2022
Předmět:
Zdroj: International Immunopharmacology. 111:109112
ISSN: 1567-5769
DOI: 10.1016/j.intimp.2022.109112
Popis: Quercetin is widely found in natural plants, especially Chinese herbal plants. It has been used to treat arthritis in China for thousands of years. However, the effects and mechanisms of quercetin in the treatment of gout arthritis (GA) remain unclear. We aimed to verify the treatment of GA with quercetin and investigate the underlying mechanism. A combination of network pharmacology and experiments was used to reveal the mechanism of quercetin in the treatment of GA. Potential targets of quercetin and gout were identified. Then, the protein-protein interaction network for the common targets between quercetin and gout was constructed and the core targets were identified. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses for the common targets were performed to elucidate the pharmacological functions and mechanisms associated with quercetin treatment in GA. Finally, a monosodium urate-induced GA rat model was used to validate the predicted mechanisms in network pharmacology. Seventy-two common targets were identified. KEGG analysis revealed that treatment of GA with quercetin predominantly involved the interleukin (IL)-17, tumor necrosis factor (TNF), mitogen-activated protein kinase, and phosphoinositide 3-kinase-Akt signaling pathways. In an experimental validation, quercetin attenuated ankle joint inflammation-induced bone destruction and histological lesions. It also diminished the expression of IL-6, IL-17A, and IL-17F in the IL-17 pathway, and regulated the release of RAR-related orphan receptor gamma t,IL-17E, IL-1β, IL-6, TNF-α, Foxp3, and transforming growth factor-beta 1. The collective findings implicate quercetin as a valuable alternative drug for the treatment of GA.
Databáze: OpenAIRE