Identification of Interleukin-1-Beta Inhibitors in Gouty Arthritis Using an Integrated Approach Based on Network Pharmacology, Molecular Docking, and Cell Experiments

Author:

Zeng Liying1ORCID,Lin Zekun12,Kang Pan134ORCID,Zhang Meng5,Tang Hongyu13ORCID,Li Miao134,Xu Kun6,Liu Yamei12,Jiang Ziyun7ORCID,Huo Shaochuan7ORCID

Affiliation:

1. Guangzhou University of Chinese Medicine, Guangzhou 510405, China

2. College of Basic Medicine, Guangzhou University of Chinese Medicine, Guangzhou 510006, China

3. Department of Joint Orthopaedic, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510405, China

4. Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou 510405, China

5. Department of Orthopedics, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, People’s Hospital of Henan University, Zhengzhou 450003, China

6. Shi’s Center of Orthopedics and Traumatology, Shuguang Hospital, Affiliated to Shanghai University of Traditional Chinese Medicine, Institute of Traumatology & Orthopedics, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China

7. Shenzhen Hospital (Futian) of Guangzhou University of Chinese Medicine, Shenzhen 518048, China

Abstract

Background. This study aimed to investigate the molecular mechanism of Tongfengding capsule (TFDC) in treating immune-inflammatory diseases of gouty arthritis (GA) and interleukin-1-beta (IL-1β) inhibitors by using network pharmacology, molecular docking, and cell experiments. Methods. In this study, the compounds of TFDC and the potential inflammatory targets of GA were obtained from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), Online Mendelian Inheritance in Man (OMIM), and GeneCards databases. The TFDC-GA-potential targets interaction network was accomplished by the STRING database. The TFDC-active compound-potential target-GA network was constructed using Cytoscape software. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were used to further explore the GA mechanism and therapeutic effects of TFDC. Quantitative real-time PCR (qPCR) was used to verify whether the TFDC inhibited IL-1β in GA. Molecular docking technology was used to analyze the optimal effective compounds from the TFDC for docking with IL-1β. Result. 133 active compounds and 242 targets were screened from the TFDC, and 25 of the targets intersected with GA inflammatory targets, which were considered as potential therapeutic targets. Network pharmacological analysis showed that the TFDC active compounds such as quercetin, stigmasterol, betavulgarin, rutaecarpine, naringenin, dihydrochelerythrine, and dihydrosanguinarine had better correlation with GA inflammatory targets such as PTGS2, PTGS1, NOS2, SLC6A3, HTR3A, PPARG, MAPK14, RELA, MMP9, and MMP2. The immune-inflammatory signaling pathways of the active compounds for treating GA are IL-17 signaling pathway, TNF signaling pathway, NOD-like receptor signaling pathway, NF-kappa B signaling pathway, Toll-like receptor signaling pathway, HIF-1 signaling pathway, etc. The TFDC reduced IL-1β mRNA expression in GA by qPCR. Molecular docking results suggested that rutaecarpine was the most appropriate natural IL-1β inhibitor. Conclusion. Our findings provide an essential role and bases for further immune-inflammatory studies on the molecular mechanisms of TFDC and IL-1β inhibitors development in GA.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Complementary and alternative medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Elevated serum IL-2 and Th17/Treg imbalance are associated with gout;Clinical and Experimental Medicine;2024-01-19

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