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作 者:郭玉岩[1] 李春成 孙爽[1] 杨大宇[1] 吕邵娃[1] GUO Yuyan;LI Chuncheng;SUN Shuang;YANG Dayu;LYU Shaowa(Heilongjiang University of Chinese Medicine,Harbin Heilongjiang China 150040)
机构地区:[1]黑龙江中医药大学药学院,黑龙江哈尔滨150040
出 处:《中医学报》2022年第4期844-849,共6页Acta Chinese Medicine
基 金:国家自然科学基金项目(82173997);中国国家博士后基金项目(2019M651321);黑龙江中医药大学健康产业基金项目(2018JKCY04)。
摘 要:目的:采用网络药理学方法研究马钱子抗肿瘤的作用机制。方法:通过检索中药系统药理数据分析平台,把生物利用度(oral bioavailability, OB)≥30%,类药性(drug-like, DL)≥0.18作为筛选条件,获得主要活性成分和相关作用靶点。通过UniProt数据库提取作用靶点的基因名称,利用STRING网络在线分析平台获得抗肿瘤作用靶点,R软件筛选交集靶点,采用Cytoscape 3.6.1构建成分-靶点-疾病网络图,STRING网络平台构建PPI网络图,进一步进行GO、KEGG通路富集分析。结果:筛选出马钱子活性成分共14个,预测出马钱子抗肿瘤相关的靶点7个,预测出马钱子通过作用于6条通路并介导多种生物学功能起到抗肿瘤的作用。结论:马钱子中的活性成分能通过多靶点、多通路起到抗肿瘤的作用。Objective: To study the anti-tumor mechanism of Maqianzi(Semen Strychni) by using network pharmacology.Methods: By searching the pharmacology data analysis platform of traditional Chinese medicine system, the bioavailability(OB)≥30% and the drug-like(DL)≥0.18 were used as screening conditions to obtain the main active ingredients and related targets.Extract the gene name of the target from the UniProt database, and use the STRING network online analysis platform to obtain the target with anti-tumor effect.Using R software to screen the intersection target and Cytoscape 3.6.1 to build the component-target-disease network map, the STRING network platform was used to construct a PPI network map and further conduct enrichment analysis of GO and KEGG pathways.Results: A total of 14 active components of strychnine were screened out, and 7 anti-tumor-related targets of Maqianzi were predicted.It was predicted that the anti-tumor effect of stroma was achieved by acting on 6 pathways and mediating various biological functions.Conclusion: The active ingredients in Maqianzi can play an anti-tumor role through multiple targets and multiple pathways.
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