Department of Pharmaceutics, Key Laboratory of Chemical Biology of Ministry of Education, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, 44 West Wenhua Road, Jinan, Shandong 250012, PR China.
College of Food Sciences and Pharmaceutical Engineering, Zaozhuang University, Zaozhuang 277160, PR China.
Int Immunopharmacol. 2021 Sep;98:107913. doi: 10.1016/j.intimp.2021.107913. Epub 2021 Jul 2.
The objective of this work was to study the effects and mechanisms of S-allylmercapto-N-acetylcysteine (ASSNAC) in the treatment of pulmonary emphysema based on network pharmacology analysis and other techniques. Firstly, the potential targets associated with ASSNAC and COPD were integrated using public databases. Then, a protein-protein interaction network was constructed using String database and Cytoscape software. The Gene Ontology analysis and Kyoto Encyclopedia of Genes and Genomes pathway analysis were performed on DAVID platform. The molecular docking of ASSNAC with some key disease targets was implemented on the SwissDock platform. To verify the results of the network pharmacology, a pulmonary emphysema mice model was established and treated with ASSNAC. Besides, the expressions of the predicted targets were detected by immunohistochemistry, Western blot analysis or enzyme-linked immunosorbent assay. Results showed that 33 overlapping targets are achieved, including CXCL8, ICAM1, MAP2K1, PTGS2, ACE and so on. The critical pathways of ASSNAC against COPD involved arachidonic acid metabolism, chemokine pathway, MAPK pathway, renin-angiotensin system, and others. Pharmacodynamic experiments demonstrated that ASSNAC decreased the pulmonary emphysema and inflammation in the pulmonary emphysema mice. Therefore, these results confirm the perspective of network pharmacology in the target verification, and indicate the treatment potential of ASSNAC against COPD.
本研究旨在基于网络药理学分析及其他技术,研究 S-烯丙基巯基-N-乙酰半胱氨酸(ASSNAC)治疗肺气肿的作用及机制。首先,利用公共数据库整合与 ASSNAC 和 COPD 相关的潜在靶点。然后,使用 STRING 数据库和 Cytoscape 软件构建蛋白质-蛋白质相互作用网络。在 DAVID 平台上进行基因本体论分析和京都基因与基因组百科全书通路分析。在 SwissDock 平台上对 ASSNAC 与一些关键疾病靶点进行分子对接。为了验证网络药理学的结果,建立了肺气肿小鼠模型并给予 ASSNAC 进行治疗。此外,通过免疫组织化学、Western blot 分析或酶联免疫吸附试验检测预测靶点的表达。结果显示,得到 33 个重叠靶点,包括 CXCL8、ICAM1、MAP2K1、PTGS2、ACE 等。ASSNAC 治疗 COPD 的关键通路涉及花生四烯酸代谢、趋化因子通路、MAPK 通路、肾素-血管紧张素系统等。药效学实验表明,ASSNAC 可减轻肺气肿小鼠的肺气肿和肺部炎症。因此,这些结果证实了网络药理学在靶点验证方面的前瞻性,并表明 ASSNAC 治疗 COPD 的潜力。