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基于网络药理学、分子对接和细胞实验的综合方法鉴定痛风性关节炎中的白细胞介素-1β抑制剂

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

作者信息

Zeng Liying, Lin Zekun, Kang Pan, Zhang Meng, Tang Hongyu, Li Miao, Xu Kun, Liu Yamei, Jiang Ziyun, Huo Shaochuan

机构信息

Guangzhou University of Chinese Medicine, Guangzhou 510405, China.

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

出版信息

Evid Based Complement Alternat Med. 2022 Sep 19;2022:2322417. doi: 10.1155/2022/2322417. eCollection 2022.

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-1) 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-1 in GA. Molecular docking technology was used to analyze the optimal effective compounds from the TFDC for docking with IL-1.

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-1 mRNA expression in GA by qPCR. Molecular docking results suggested that rutaecarpine was the most appropriate natural IL-1 inhibitor.

CONCLUSION

Our findings provide an essential role and bases for further immune-inflammatory studies on the molecular mechanisms of TFDC and IL-1 inhibitors development in GA.

摘要

背景

本研究旨在通过网络药理学、分子对接和细胞实验,探讨痛风定胶囊(TFDC)治疗痛风性关节炎(GA)免疫炎症性疾病及白细胞介素-1β(IL-1)抑制剂的分子机制。

方法

本研究从中药系统药理学数据库与分析平台(TCMSP)、在线人类孟德尔遗传数据库(OMIM)和基因卡片数据库中获取TFDC的化合物及GA潜在的炎症靶点。通过STRING数据库完成TFDC-GA-潜在靶点相互作用网络。使用Cytoscape软件构建TFDC-活性化合物-潜在靶点-GA网络。采用基因本体(GO)和京都基因与基因组百科全书(KEGG)通路富集分析进一步探究TFDC对GA的作用机制及治疗效果。运用定量实时聚合酶链反应(qPCR)验证TFDC是否抑制GA中的IL-1。利用分子对接技术分析TFDC中与IL-1对接的最佳有效化合物。

结果

从TFDC中筛选出133种活性化合物和242个靶点,其中25个靶点与GA炎症靶点相交,被视为潜在治疗靶点。网络药理学分析表明,槲皮素、豆甾醇、β-香豆素、吴茱萸碱、柚皮苷、二氢白屈菜红碱和二氢血根碱等TFDC活性化合物与PTGS2、PTGS1、NOS2、SLC6A3、HTR3A、PPARG、MAPK14、RELA、MMP9和MMP2等GA炎症靶点具有较好的相关性。活性化合物治疗GA的免疫炎症信号通路为IL-17信号通路、TNF信号通路、NOD样受体信号通路、NF-κB信号通路、Toll样受体信号通路、HIF-1信号通路等。qPCR结果显示TFDC降低了GA中IL-1 mRNA的表达。分子对接结果表明吴茱萸碱是最合适的天然IL-1抑制剂。

结论

我们的研究结果为进一步开展TFDC分子机制的免疫炎症研究及GA中IL-1抑制剂的开发提供了重要作用和依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ee2/9526673/6a07ee36744c/ECAM2022-2322417.001.jpg

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