[1]卢梦月,刘锐,周莹,等.基于生物信息学和网络药理学方法探讨麦门冬汤治疗特发性肺纤维化的miRNA预测及其作用机制[J].西部中医药,2023,36(09):19-24.[doi:10.12174/j.issn.2096-9600.2023.09.05]
　LU Mengyue,LIU Rui,ZHOU Ying,et al.Exploration into miRNA Prediction of Maimendong Tang in the Treatment of Idiopathic Pulmonary Fibrosis and the Mechanism Based on Bioinformatics and Network Pharmacology[J].Western Journal of Traditional Chinese Medicine,2023,36(09):19-24.[doi:10.12174/j.issn.2096-9600.2023.09.05]
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基于生物信息学和网络药理学方法探讨麦门冬汤治疗特发性肺纤维化的miRNA预测及其作用机制

《西部中医药》[ISSN:2096-9600/CN:62-1204/R]

卷:
36
期数:
2023年09期
页码:
19-24
栏目:
出版日期:
2023-09-15

文章信息/Info

Title:
Exploration into miRNA Prediction of Maimendong Tang in the Treatment of Idiopathic Pulmonary Fibrosis and the Mechanism Based on Bioinformatics and Network Pharmacology
作者:
卢梦月1, 刘锐2, 周莹1, 田智1, 刘付昌盛1
1.广西中医药大学,广西 南宁 530200
2.广西中医药大学附属瑞康医院，广西 南宁 530011
Author(s):
LU Mengyue1, LIU Rui2, ZHOU Ying1, TIAN Zhi1, LIU Fuchangsheng1
1.Guangxi University of Chinese Medicine, Nanning 530200, China
2.Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning 530011, China
关键词:
特发性肺纤维化; 生物信息学; 网络药理学; miRNA预测; 麦门冬汤
Keywords:
idiopathic pulmonary fibrosis; bioinformatics; network pharmacology; miRNA prediction
分类号:
R223.1
DOI:
10.12174/j.issn.2096-9600.2023.09.05
文献标志码:
A
摘要:
目的通过生物信息学与网络药理学方法探求麦门冬汤治疗特发性肺纤维化（idiopathic pulmonary fibrosis，IPF）的微小RNA和相关作用机制。 方法通过在线数据库查检麦门冬汤的有效活性成分及其相关靶基因与IPF的疾病靶点，GEO数据库下载GSE53845基因芯片，筛选GSE53845与疾病共同表达的基因。取药物和疾病交集靶点上传至miRNA在线数据库预测关键基因靶点相关微小RNA，运用DAVID数据库对关键靶基因进行GO和KEGG分析，采用iGEMDOCK进行分子对接分析，结合相关文献分析麦门冬汤防治IPF的作用机制。 结果麦门冬汤共含有502个活性化合物及1039个预测靶点；43个共同表达的IPF疾病基因靶点；关键靶点MMP3与化合物β-胡萝卜素结合性能最佳。 结论麦门冬汤主要通过miR-29家族、let-7家族、miR-26a-5p等微小RNA调节靶基因，干预IPF进程；主要作用于胶原分解过程、细胞外基质组织、细胞外基质分解等生物学过程；参与NF-κB信号通路、ECM-受体相互作用、TNF信号通路等关键信号通路。
Abstract:
ObjectiveTo survey miRNA and the relevant mechanism of Maimendong Tang in the treatment of idiopathic pulmonary fibrosis (IPF) via bioinformatics and network pharmacology. MethodsThe active ingredients of Maimendong Tang, and the related target genes and the disease targets of IPF were searched and checked via online database, GSE53845 and disease co-expressed genes were screened through after downloading GSE53845 gene chips from GEO database. Drug-disease intersection targets were taken and uploaded to microRNA online database to predict key gene target-associated microRNA, GO and KEGG analysis of key target genes were carried out using DAVID database, molecular docking analysis was performed by adopting iGEMDOCK, combined with the relevant literature, the mechanism of preventing and treating IPF with Maimendong Tang was analyzed. ResultsMaimendong Tang contained 502 active compounds and 1039 predicted targets; 43 co-expressed IPF disease gene targets; and the key target MMP3 showed the best binding performance with the compound β -carotene. ConclusionMaimendong Tang could regulate target genes mainly via miR-29 family, let-7 family, miR-26a-5p and other micorRNAs, so as to play the intervention role in the process of IPF, mostly acting on collagen decomposition process, extracellular matrix tissue and extracellular matrix decomposition, and participating in key signal pathways including NF-κB signal pathway, ECM-receptor interaction and TNF signal pathway.

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备注/Memo

备注/Memo:
卢梦月（1992—），女，硕士学位。研究方向：老年病的中医药防治。国家自然科学基金（81860829）；广西自然科学基金（2018GXNSFAA050108）；广西研究生教育创新计划项目（YCSW2020183）。
更新日期/Last Update: 2023-09-15