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作 者:赵凯悦 刘蜜敏 曾利 姜海伦 李卓荣[1] 徐芳 刘睿 ZHAO Kaiyue;LIU Mimin;ZENG Li;JIANG Hailun;LI Zhuorong;XU Fang;LIU Rui(the Institute of Medicinal Biotechnology,Chinese Academy of Medical Sciences,Beijing 100050,China;Xinjiang Uygur Autonomous Region Institute of Materia Medica,Urumqi 830004,China)
机构地区:[1]中国医学科学院医药生物技术研究所,北京100050 [2]新疆维吾尔自治区药物研究所,乌鲁木齐830004
出 处:《实验动物科学》2022年第5期7-14,共8页Laboratory Animal Science
基 金:国家自然科学基金地区科学基金项目(81660655);国家自然科学基金NSFC-新疆联合基金重点支持项目(U1803281)。
摘 要:目的 运用网络药理学技术研究瘤果黑种草子抗炎作用机制。方法 通过文献检索及Swiss Target Prediction数据库进行成分靶标预测;采用OMIM、DrugBank、Genecard数据库进行疾病靶标搜集,使用Venny2.1.0分析共同靶标;构建蛋白互作网络,按照平均degree值筛选重要靶标;构建成分-共同靶标网络;对重要靶标进行基因本体和生物通路富集分析。结果 收集到化合物57个,预测到药物和疾病的重要交互靶标101个。生物功能富集得到细胞组分111条、分子功能139条,生物过程2 104条,信号通路165条。细胞组分以膜成分为主,分子功能排名靠前的多为G蛋白偶联受体,生物过程涉及激酶、转移酶活性调控、MAPK级联调控等。通路富集到以IL-6、STAT3等为关键基因的Th17细胞分化通路,与瘤果黑种草子的抗炎机制密切相关。结论 运用网络药理学分析技术,针对中药多组分、多靶标、多通路的特点,分析了瘤果黑种草子抗炎的潜在机制,为瘤果黑种草子的深入研究提供参考,然其核心靶标和具体的调控机制尚待进一步的实验验证。Objective To study the anti-inflammatory mechanism of Nigella glandulifera seeds with the tools of network pharmacology.Method Component targets were predicted using literature searching and the Swiss Target Prediction database. The disease targets were collected using OMIM, DrugBank, Genecard databases. The common targets were analyzed using Venny 2.1.0 and STRING software. According to the average degree value, important targets were taken out. A common component-target interaction network was created using the Cytoscape software. The biological function enrichment and signaling pathway enrichment analysis of the important targets were performed through Metascape.Result Fifty-seven components were collected, and 101 important interaction targets of drugs and diseases were predicted. Enrichment of biological functions illustrated 111 cell components, 139 molecular functions, 2 104 biological processes, and 165 signaling pathways. Cell components were mainly membrane components, and the principal molecular functions were focused on the G protein-coupled receptors. Biological processes involved kinases, positive regulation of transferase activity, and regulation of the MAPK cascade. Pathway enrichment predicted that the Th17 cell differentiation pathway referred to IL-6 and STAT3 as key genes were closely related to the anti-inflammatory effects of Nigella glandulifera seeds.Conclusion Given the characteristics of multi-component, multi-target, and multi-pathway of the traditional Chinese medicine, the potential anti-inflammatory mechanism of Nigella glandulifera seeds was analyzed using network pharmacology approach so as to provide the basis for further study. However, the key target and the specific regulatory mechanism need to be further verified.
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