[1]林鑫,刘阳,陈林伟,等.基于网络药理学探讨气血双补方抗慢性心力衰竭的作用机制[J].西部中医药,2022,35(06):29-33.[doi:10.12174/j.issn.2096-9600.2022.06.08]
　LIN Xin,LIU Yang,CHEN Linwei,et al.Study on the Mechanism of Qixue Shuangbu Prescription in Treating Chronic Heart Failure Based on Network Pharmacology[J].Western Journal of Traditional Chinese Medicine,2022,35(06):29-33.[doi:10.12174/j.issn.2096-9600.2022.06.08]
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基于网络药理学探讨气血双补方抗慢性心力衰竭的作用机制
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《西部中医药》[ISSN:2096-9600/CN:62-1204/R]

卷:
35
期数:
2022年06期
页码:
29-33
栏目:
出版日期:
2022-06-15

文章信息/Info

Title:
Study on the Mechanism of Qixue Shuangbu Prescription in Treating Chronic Heart Failure Based on Network Pharmacology
作者:
林鑫1, 刘阳1, 陈林伟2, 薛一涛1
1.山东中医药大学附属医院,山东 济南 250014
2.南京中医药大学泰州附属医院
Author(s):
LIN Xin1, LIU Yang1, CHEN Linwei2, XUE Yitao1
1.Affiliated Hospital to Shandong University of Traditional Chinese Medicine, Jinan 250014, China
2.Taizhou Hospital of TCM Affiliated to Nanjing University of Chinese Medicine
关键词:
心力衰竭; 慢性; 网络药理学; 气血双补方; 作用机制
Keywords:
heart failure; chronic; network pharmacology; Prescriptionmechanism
分类号:
R541.6+2
DOI:
10.12174/j.issn.2096-9600.2022.06.08
文献标志码:
A
摘要:
目的筛选气血双补方中抗慢性心力衰竭的主要活性成分，预测活性成分的作用靶点，构建“单味药-活性成分-作用靶点”网络，进一步探讨气血双补方抗心力衰竭的潜在作用机制。 方法采用中药系统药理学分析平台（traditional Chinese medicine systems pharmacology database and analysis platform，TCMSP）检索气血双补方中各单味中药相关的所有化学成分、作用靶点，进而构建化合物-靶点网络图。通过TTD数据库、STRING数据库及UniProt数据库筛选慢性心力衰竭相关的靶点，进而构建疾病靶点相互作用网络图。筛选药物靶点和疾病靶点相互作用图的核心靶点，利用ClueGO对核心靶点进行GO分析，利用DAVID和KEGG数据库对核心靶点进行相关通路的富集。 结果选择口服利用度（oral bioavailability，OB）≥30%，类药性（drug-likeness，DL）≥0.18作为化合物分子的筛选条件，筛选出气血双补方中的107个活性成分和177个相应的蛋白靶点。通过度、介度中心度、接近中心度等网络拓扑特征评价、筛选出与气血双补方抗慢性心力衰竭作用的核心靶点190个，GO分析共包括256条富集结果，其中分子功能49条，生物过程181条，细胞组成26条。利用KEGG数据库对相关通路富集，筛选出20条通路在慢性心力衰竭方面具有作用。 结论通过网络药理学验证了气血双补方多成分、多靶点、整体调节的作用特点，预测了气血双补方抗慢性心力衰竭的主要作用机制，为其活性成分研究和实验研究提供了科学的理论依据。
Abstract:
ObjectiveTo further explore the potential mechanism of Qixue Shuangbu Prescription(OSP)in treating chronic heart failure (CHF) by screening the main active ingredients of resisting CHF contained in QSP, predicting the targets of the active ingredients and constructing the network of "single herb-active ingredients-targets". MethodsTCMSP was adopted to search all the chemical ingredients and targets related to all single herbs in QSP, therefore to construct compound-targets network diagram; the targets about CHF were selected by TTD database, string database and Uniprot database, and then to construct disease target interaction network diagram; the core targets of drug target and disease target interaction diagram were screened, ClueGo was utilized to perform GO analysis of the core targets, DAVID and KEGG databases were used to carry out the enrichment of the related pathways for the core targets. ResultsBy choosing OB≥30%, DL≥0.18 as the screening conditions for compound molecule, 107 active ingredients and 177 corresponding protein targets were screened; 190 core targets for the anti-CHF effects of QSP were screened and assessed by using the characteristics of network topology including passing degree, intermediate degree and closeness centrality, GO analysis contained 256 enrichment results, among them, there were 49 molecular function, 181 biological processes and 26 cellular components. KEGG database was applied to perform the enrichment of the related pathways and 20 ones playing a role in CHF were screened. ConclusionThe characteristics of multi - component, multi - target and overall regulation of QSP are verified by network pharmacology, and the main mechanism of the prescription trrating CHF is predicted, which could provide science-based theoretical reference for the study on its active ingredients and the experi-mental researches.

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备注/Memo

备注/Memo:
林鑫（1984—），女，硕士学位，主治医师。研究方向：心系疾病的中医防治。国家自然科学基金（81903802）。
更新日期/Last Update: 2022-06-24