Application of Network Pharmacology, Molecular Docking, and In Vitro Experimental Evaluation to Decipher the Anti-Inflammatory Mechanisms of Cirsium japonicum

Q1 Mathematics
Jiaxue Wang, Hui Tao, Zhenlong Wang, Wei An, Ya Zhao, Bing Han, Jinquan Wang, Xiuzhu Sun, Xiumin Wang
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引用次数: 1

Abstract

Cirsium japonicum, a traditional herb, exhibits significant anti-inflammatory activity. However, the main components and potential mechanisms of C. japonicum remain unclear. The aim of this study is to investigate the anti-inflammatory mechanism of Cirsium japonicum through network pharmacology and cellular experiments. The effective components of and potential targets for the anti-inflammatory activity of C. japonicum were identified using a traditional Chinese medicine systematic pharmacology database, the TCMSP analysis platform, and the GeneCards database. The drug–component–target–disease network diagram was constructed using Cytoscape 3.8.0 software, while the protein interaction network diagram was created using the STRING database and Cytoscape 3.8.0 software. Gene ontology (GO) enrichment and KEGG pathway enrichment analysis were carried out using the DAVID database. Molecular docking between key targets and active components was constructed with AutoDock 4.2.6 software to determine the best binding target. The results revealed that 14 active components of C. japonicum targeted 171 anti-inflammatory proteins. GO function enrichment analysis yielded 173 items, while KEGG pathway enrichment analysis identified 48 signaling pathways related to inflammation regulation. Molecular docking showed a strong affinity of sitosterol, stigmasterol, and other components with key targets such as peroxisome proliferator-activated receptor α recombinant protein (PPARA) and cyclooxygenase-2 (PTGS2). Vanillin, one active ingredient of C. japonicum, inhibited the release of lipopolysaccharide (LPS)-induced inflammatory factors in RAW264.7 cells. These findings suggest that C. japonicum may exert its anti-inflammatory effects by modulating the phosphatidylinositol 3-kinase (PI3K)/protein kinase B (Akt) signal pathway (PI3K-Akt) and apoptin signal pathway, highlighting the multi-component, multi-target, and multi-channel molecular mechanism underlying its anti-inflammatory properties. Finally, the anti-inflammatory effect of vanillin, an effective component of C. japonicum, was verified by cell experiments. This study provides a new understanding of the pharmacological mechanisms of C. japonicum in the treatment of inflammatory conditions.
应用网络药理学、分子对接及体外实验评价解读鸢尾花抗炎机制
鸢尾草是一种传统草本植物,具有显著的抗炎活性。然而,日本血吸虫的主要成分和潜在机制尚不清楚。通过网络药理学和细胞实验,探讨鸢尾花的抗炎作用机制。利用中药系统药理学数据库、TCMSP分析平台和GeneCards数据库,对日本参的有效成分和潜在抗炎靶点进行鉴定。使用Cytoscape 3.8.0软件构建药物组分-靶点-疾病网络图,使用STRING数据库和Cytoscape 3.8.0软件构建蛋白质相互作用网络图。利用DAVID数据库进行基因本体(GO)富集和KEGG通路富集分析。利用AutoDock 4.2.6软件构建关键靶点与活性成分的分子对接,确定最佳结合靶点。结果表明,日本藤有14种活性成分靶向171种抗炎蛋白。GO功能富集分析得到173个项目,而KEGG途径富集分析确定了48个与炎症调节相关的信号通路。分子对接显示谷甾醇、豆甾醇和其他成分与过氧化物酶体增殖物激活受体α重组蛋白(PPARA)和环氧化酶-2 (PTGS2)等关键靶点有很强的亲和力。香兰素是一种有效成分,可以抑制脂多糖(LPS)诱导的炎症因子在RAW264.7细胞中的释放。上述结果提示,日本参可能通过调节磷脂酰肌醇3-激酶(PI3K)/蛋白激酶B (Akt)信号通路(PI3K-Akt)和凋亡素信号通路发挥抗炎作用,揭示了其抗炎作用的多组分、多靶点、多通道的分子机制。最后,通过细胞实验验证了香兰素的抗炎作用。本研究对日本藤治疗炎症的药理机制提供了新的认识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Applied Sciences
Applied Sciences Mathematics-Applied Mathematics
CiteScore
6.40
自引率
0.00%
发文量
0
审稿时长
11 weeks
期刊介绍: APPS is an international journal. APPS covers a wide spectrum of pure and applied mathematics in science and technology, promoting especially papers presented at Carpato-Balkan meetings. The Editorial Board of APPS takes a very active role in selecting and refereeing papers, ensuring the best quality of contemporary mathematics and its applications. APPS is abstracted in Zentralblatt für Mathematik. The APPS journal uses Double blind peer review.
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