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- Title
Treatment of Gout with TCM Using Turmeric and Corn Silk: A Concise Review Article and Pharmacology Network Analysis.
- Authors
Zhang, Haoyu; Jiang, Huizhong; Zhao, Mengya; Xu, Yan; Liang, Jiabin; Ye, Yufeng; Chen, Hanwei
- Abstract
Objective. This work aimed to study the compounds, targets, and pathways of turmeric and corn silk for gout and to explore the mechanism of "the same disease with different treatments" based on network pharmacology and molecular docking. Methods. We used the TCMSP, PubChem, and SEA databases to screen the compounds and targets of turmeric and corn silk, gout-related proteins through TTD, Drugbank, DisGeNET, GeneCards, OMIM, and PharmGkb, and used Cytoscape to construct a "compound-target-disease" network. Then, we constructed a protein-protein interaction network (PPI) and used Metascape to perform GO and KEGG analysis. Finally, molecular docking (SYBYL) was used to verify the degree of binding between key targets and compounds. Results. We found bisacumol, campesterol, and stigmasterol to be the main turmeric compounds that exerted a marked effect on gout treatment by targeting protein processing in the endoplasmic reticulum through the HSPA1B, HSP90AB1, and STUB1 proteins. The main corn silk compound, Mandenol, treated gout by targeting the Hippo signaling pathway through the CTNNB1, YWHAG, and YWHAZ proteins. Conclusion. Turmeric and corn silk can treat the same disease, gout, through different pathways and targets. The scientific connotation of "same disease with different treatments" can be preliminarily clarified by analyzing targets and pathways.
- Subjects
THERAPEUTIC use of corn; HYPERURICEMIA; HERBAL medicine; ENDOPLASMIC reticulum; TURMERIC; CELLULAR signal transduction; PHYTOCHEMICALS; BIOINFORMATICS; PHARMACEUTICAL chemistry; COMPUTER-assisted molecular modeling; DATA analysis software; CHINESE medicine; GOUT; ALGORITHMS; PHARMACOKINETICS
- Publication
Evidence-based Complementary & Alternative Medicine (eCAM), 2022, p1
- ISSN
1741-427X
- Publication type
Article
- DOI
10.1155/2022/3143733