Bai Liang Liang, Chen Hao, Zhou Peng, Yu Jun
School of Biomedical Engineering, Anhui Medical University, Hefei, China.
School of Integrated Chinese and Western Medicine, Anhui University of Chinese Medicine, Institute of Integrated Chinese and Western Medicine, Anhui Academy of Chinese Medicine, Anhui Province Key Laboratory of Chinese Medicinal Formula, Hefei, China.
Front Pharmacol. 2021 May 21;12:690118. doi: 10.3389/fphar.2021.690118. eCollection 2021.
This study aimed to investigate the molecular mechanism of Paeoniae Alba (white peony, WP) in treating immune inflammatory diseases of rheumatoid arthritis (RA) and tumor necrosis factor-alpha (TNF-α) inhibitors (TNFis) by using network pharmacology and molecular docking. In this study, the ingredient of WP and the potential inflammatory targets of RA were obtained from the Traditional Chinese Medicine Systematic Pharmacology Database, GeneCard, and OMIM databases, respectively. The establishment of the RA-WP-potential inflammatory target gene interaction network was accomplished using the STRING database. Network maps of the WP-RA-potential inflammatory target gene network were constructed using Cytoscape software. Gene ontology (GO) and the biological pathway (KEGG) enrichment analyses were used to further explore the RA mechanism and therapeutic effects of WP. Molecular docking technology was used to analyze the optimal effective components from WP for docking with TNF-α. Thirteen active ingredients and 71 target genes were screened from WP, and 49 of the target genes intersected with RA target inflammatory genes and were considered potential therapeutic targets. Network pharmacological analysis showed that the WP active ingredients such as mairin, DPHCD, (+)-catechin, beta-sitosterol, paeoniflorin, sitosterol, and kaempferol showed better correlation with RA inflammatory target genes such as PGR, PTGS1, PTGS2, NR3C2, TNFSF15, and CHRM2, respectively. The immune-inflammatory signaling pathways of the active ingredients for the treatment of RA are the TNF-α signaling pathway, Toll-like receptor signaling pathway, cell apoptosis, interleukin-17 signaling pathway, C-type lectin receptor signaling pathway, mitogen-associated protein kinase, . Molecular docking results suggested that mairin was the most appropriate natural TNFis. Our findings provide an essential role and basis for further immune-inflammatory studies into the molecular mechanisms of WP and TNFis development in RA.
本研究旨在运用网络药理学和分子对接技术,探讨白芍治疗类风湿关节炎(RA)免疫炎症性疾病及肿瘤坏死因子-α(TNF-α)抑制剂(TNFis)的分子机制。在本研究中,白芍成分及RA潜在炎症靶点分别从中药系统药理学数据库、GeneCard和OMIM数据库获取。利用STRING数据库构建RA-白芍-潜在炎症靶点基因相互作用网络。使用Cytoscape软件构建白芍-RA-潜在炎症靶点基因网络的网络图。采用基因本体(GO)和生物通路(KEGG)富集分析进一步探究白芍对RA的作用机制和治疗效果。运用分子对接技术分析白芍中与TNF-α对接的最佳有效成分。从白芍中筛选出13种活性成分和71个靶基因,其中49个靶基因与RA靶炎症基因相交,被视为潜在治疗靶点。网络药理学分析表明,白芍活性成分如没食子儿茶素、二苯乙烯苷、(+)-儿茶素、β-谷甾醇、芍药苷、甾醇和山奈酚分别与RA炎症靶基因如孕酮受体(PGR)、前列腺素内过氧化物合酶1(PTGS1)、前列腺素内过氧化物合酶2(PTGS2)、核受体亚家族3成员C2(NR3C2)、肿瘤坏死因子配体超家族成员15(TNFSF15)和毒蕈碱型乙酰胆碱受体M2(CHRM2)显示出较好的相关性。活性成分治疗RA的免疫炎症信号通路为TNF-α信号通路、Toll样受体信号通路、细胞凋亡、白细胞介素-17信号通路、C型凝集素受体信号通路、丝裂原活化蛋白激酶……分子对接结果表明没食子儿茶素是最合适的天然TNFis。我们的研究结果为进一步深入研究白芍和TNFis在RA中免疫炎症的分子机制提供了重要作用和依据。