[1]马思遥,任延毅,王雪冰.基于复杂网络技术分析“北沙参-桔梗”治疗放射性肺炎的机制[J].西部中医药,2023,36(05):17-23.[doi:10.12174/j.issn.2096-9600.2023.05.04]
　MA Siyao,REN Yanyi,WANG Xuebing.The Mechanism of "Beishashen-Jiegeng" for the Treatment of Radiation Pneumonia Based on Complex Network[J].Western Journal of Traditional Chinese Medicine,2023,36(05):17-23.[doi:10.12174/j.issn.2096-9600.2023.05.04]
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基于复杂网络技术分析“北沙参-桔梗”治疗放射性肺炎的机制
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《西部中医药》[ISSN:2096-9600/CN:62-1204/R]

卷:
36
期数:
2023年05期
页码:
17-23
栏目:
出版日期:
2023-05-15

文章信息/Info

Title:
The Mechanism of "Beishashen-Jiegeng" for the Treatment of Radiation Pneumonia Based on Complex Network
作者:
马思遥, 任延毅, 王雪冰
中国医科大学肿瘤医院/辽宁省肿瘤医院，辽宁 沈阳 100042
Author(s):
MA Siyao, REN Yanyi, WANG Xuebing
Cancer Hospital & Institute, China Medical University/Liaoning Cancer Hospital&Institute, Shenyang 100042, China
关键词:
放射性肺炎; 分子机制; 网络药理学; 中西医结合; 北沙参-桔梗
Keywords:
radiation pneumonia; molecular mechanism; network pharmacology; combination of Chinese traditional and Western medicine
分类号:
R285.5
DOI:
10.12174/j.issn.2096-9600.2023.05.04
文献标志码:
A
摘要:
目的运用复杂网络分析技术探讨“北沙参-桔梗”药对治疗放射性肺炎的作用靶点及信号通路。 方法在中药系统药理学数据库与分析平台筛选“北沙参-桔梗”的潜在有效成分及其对应的靶点蛋白；通过人类基因数据库搜索已知与放射性肺炎关联的靶基因；采用Cytoscape软件描绘化合物-靶点网络图；将靶基因导入STRING数据平台以描绘蛋白-蛋白相互作用网络(protein-protein interactions，PPI)；在R语言环境下对靶点基因进行基因本体论功能富集分析（gene ontology，GO）和KEGG富集分析（kyoto encyclopedia of genes and genomes，KEGG），绘制主要富集结果的柱状图，并根据富集结果探讨“北沙参-桔梗”治疗放射性肺炎的作用机理。 结果共筛选出“北沙参-桔梗”潜在有效成分15个，放射性肺炎靶点基因124个。其中Akt1是PPI网络中最核心靶点，其次分别为白细胞介素6、血管内皮生长因子A、丝裂原活化蛋白激酶1等。GO富集分析共得到132条生物过程；KEGG富集分析得到150条信号通路。重要信号通路涉及TNF信号通路、白细胞介素17信号通路、PI3K-Akt信号通路、HIF-1信号通路、C型凝集素受体信号通路、松弛素信号通路、Toll样受体信号通路、p53信号通路、NF-kappa B信号通路。 结论“北沙参-桔梗”药对在疾病早期具有抗炎作用，晚期具有抗纤维化作用，其治疗作用是多途径、多环节、多靶点的协同作用。
Abstract:
ObjectiveTo explore the targets and signaling pathway of "Beishashen-Jiegeng" in the treatment of radiation pneumonia by applying complex network analysis. MethodsThe potential active ingredients of "Beishashen-Jiegeng" and target protein corresponding to the ingredients of the compound were screened from TCMSP; the known target genes related to radiation pneumonia were searched via GeneCards; network diagram of compound-targets were drawn by using Cytoscape software; PPI was depicted after introducing target genes into STRING data platform; GO and KEGG of target genes were carried out in R language environment, to draw the bar graphs, and to discuss the mechanism of the drug combination in the treatment of radiation pneumonia according to enrichment results. ResultsAll 15 potential active ingredients of "Beishashen-Jiegeng" are screened out, involving 124 target genes of radiation pneumonia. Among them, Akt1 is the core targets of PPI, the next are IL-6, VEGFA, MAPK1 and JUN. A total of 132 biological processes are obtained by GO enrichment analysis; 150 signaling pathways by KEGG enrichment analysis. The important signaling pathways cover TNF, IL-17, PI3K-Akt, HIF-1, type C lectin receptor, relaxin, Toll-like receptor, p53 and NF-kappa B. ConclusionThe drug combination of "Beishashen-Jiegeng" has anti-inflammatory action on the early stage of disease, anti-fibrosis effects on the late stage of disease, and its therapeutic effect is the synergy of multiple pathways, links and targets.

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备注/Memo

备注/Memo:
马思遥（1986—），女，硕士学位，副主任中医师。研究方向：肺癌、结肠癌、乳腺癌及其并发症的中西医结合治疗。辽宁省自然科学基金指导计划（2019-ZD-0579）。
更新日期/Last Update: 2023-05-15