基于网络药理学探讨白龙散治疗鸡腹泻的作用机制

【目的】 采用网络药理学技术与方法预测白龙散治疗鸡腹泻的物质基础、作用靶点和通路。【方法】 通过中药系统药理学分析数据库TCMSP筛选中药复方白龙散中的白头翁、黄连、龙胆的有效活性成分及其潜在作用靶点。通过GeneCards和OMIM数据库检索鸡腹泻的相关疾病靶点。利用Venny平台获得药物和疾病的交集靶点。将交集靶点上传至STRING数据库进行分析，构建蛋白互作（PPI）网络图并获得关键靶点，并进一步对关键靶点进行GO功能和KEGG通路富集分析。【结果】 共筛选得到活性成分27个，药物靶点57个，疾病靶点4 207个；药物与疾病交集靶点45个。PPI网络发现原癌基因蛋白质C （MYC）、雌激素受体1（ESR1）、白细胞介素-6（IL-6）、G1/S-specific周期蛋白D1（CCND1）等45个蛋白可能是白龙散治疗鸡腹泻的关键靶点。GO功能富集分析确定了112个条目，KEGG通路富集分析确定了22条通路。【结论】 中药复方白龙散主要通过槲皮素、山奈酚、异鼠李素等多个化学成分调控转录因子AP-1（JUN）、MYC、ESR1、IL-6等靶点，作用于细胞因子-细胞因子受体相互作用、肿瘤抑制蛋白（p53）信号通路、丝裂原活化蛋白激酶（MAPK）等信号通路来治疗鸡腹泻。

Study on the Mechanism of Bailongsan in Treatment of Chicken Diarrhea Based on Network Pharmacology

【Objective】 The study was aimed to forecast the material basis, action target and pathway of Bailongsan in treating chicken diarrhea by the novel method of network pharmacology.【Method】 All the active ingredients of Pulsatillae Radix, Coptidis Rhizoma and Gentianae Radix et Rhizoma in Bailongsan, and related potential drug targets were collected by TCMSP.The disease targets related to chicken diarrhea were retrieved from GeneCards and OMIM databases.The drug targets were mapped to disease targets by Venny platform, and the intersection targets were uploaded to the STRING database for analysis.PPI networks were constructed and the key targets were obtained, and GO function and KEGG pathway enrichment analysis were performed for the key targets.【Result】 A total of 27 active ingredients, 57 drug targets and 4 207 disease targets were screened.There were 45 intersection targets.The protein interaction network found that 45 proteins including MYC, ESR1, IL-6 and PTGS2 might be the key targets of Bailongsan in treatment of chicken diarrhea.The GO enrichment analysis identified 112 GO items.The enrichment analysis of KEGG pathway identified 22 related signal pathways.【Conclusion】 The Bailongsan might act on the key targets such as JUN, MYC, ESR1 and IL-6 to treat chicken diarrhea by quercetin, kaempferol, and isorhamnetin, etc.And the pathways were involved in cytokine-cytokine receptor interaction, p53 signaling pathway, MAPK signaling pathway and other pathways.