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Am J Med Sci ; 368(1): 68-79, 2024 Jul.
Article En | MEDLINE | ID: mdl-38431192

BACKGROUND: We explored the mechanisms of Sanguotang (SGT), a Tibetan medicine, in treating gout arthritis (GA). METHODS: The main active components, action targets, and disease targets of SGT were identified through TCMSP databases. The gene functions were analyzed using protein interaction (PPI) networks, Gene Ontology (GO) enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and molecular docking. A GA model induced by monosodium urate was established in rats. The ankle joint swelling was observed. The levels of uric acid (UA) and albumin (ALB) in rat serum were measured. Hematoxylin and eosin (HE) staining was conducted to examine the pathological changes in rat ankle joints. RESULTS: Twenty-nine active components of SGT with proven efficacy and 66 intersection targets were identified, primarily involved in inflammation and immune regulation pathways. The PPI results revealed that the key targets of SGT against GA included ALB, IL6, TNF, TP53, and PTGS. Molecular docking showed favorable binding energy between the ALB protein and the active components. The results from animal experiments demonstrated that SGT effectively alleviated the inflammatory reaction in ankle joints, and decreased UA and ALB levels. Furthermore, SGT effectively inhibited the proliferation of synovial cells in the ankle joint cavity, prevented infiltration of inflammatory cells, and protected synovial tissue, thereby improving GA. CONCLUSIONS: SGT comprehensively contributes to the treatment of GA by regulating UA metabolism, reducing the release of inflammatory factors, and modulating immune and inflammatory pathways.


Arthritis, Gouty , Medicine, Tibetan Traditional , Molecular Docking Simulation , Network Pharmacology , Animals , Arthritis, Gouty/drug therapy , Rats , Male , Rats, Sprague-Dawley , Uric Acid/blood , Drugs, Chinese Herbal/pharmacology , Drugs, Chinese Herbal/therapeutic use , Protein Interaction Maps/drug effects , Humans , Disease Models, Animal
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