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基于网络药理学的丹红注射液治疗阿司匹林抵抗机制研究

[Network pharmacology-based study on mechanisms of Danhong Injection in treatment of aspirin resistance].

作者信息

Lai Run-Min, Ju Jian-Qing, Zhao Yi-Han, Xu Hao

机构信息

Graduate School,Beijing University of Chinese Medicine Beijing 100029,China.

Xiyuan Hospital,China Academy of Chinese Medical Sciences Beijing 100091,China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2019 Jul;44(13):2719-2726. doi: 10.19540/j.cnki.cjcmm.20190215.001.

Abstract

This paper aims to discuss the potential targets,pathways and possible mechanisms of Danhong Injection in treatment of aspirin resistance by using network pharmacology concept and network analysis technique. Active ingredients and potential targets of Danhong Injection were collected from TCMSP database and the ingredients were further screened based on their topological characteristics. The active ingredients with nodal degree of freedom≥9 were selected as the main active ingredients. Targets related to aspirin resistance were collected from Genecards database. Drug-active ingredient-target-disease network was constructed by using Cytoscape3. 7. 0,and Funrich 3. 1. 3 software was used for gene enrichment analysis. Sixty main active ingredients were screened out from 110 active ingredients of Danhong Injection,including 51 ingredients in Salviae Miltiorrhizae Radix et Rhizoma and 11 ingredients in Carthami Flos,2 of which were both in Salviae Miltiorrhizae Radix et Rhizoma and Carthami Flos. In addition,159 potential targets were collected. The results of gene enrichment analysis showed that Danhong Injection could improve aspirin resistance mainly through21 pathways involving coagulation process,inflammatory response and metabolism. This study revealed the effects of Danhong Injection for improving aspirin resistance in multi-component,multi-target and multi-pathway means mainly through regulation in coagulation process,inflammatory response and metabolism,providing more abundant information and basis for subsequent research and experimental work.

摘要

本文旨在运用网络药理学概念和网络分析技术,探讨丹红注射液治疗阿司匹林抵抗的潜在靶点、通路及可能机制。从中药系统药理学数据库(TCMSP)收集丹红注射液的活性成分和潜在靶点,并根据其拓扑特征进一步筛选成分。选择节点自由度≥9的活性成分作为主要活性成分。从Genecards数据库收集与阿司匹林抵抗相关的靶点。使用Cytoscape 3.7.0构建药物-活性成分-靶点-疾病网络,并使用Funrich 3.1.3软件进行基因富集分析。从丹红注射液的110种活性成分中筛选出60种主要活性成分,其中丹参中有51种成分,红花中有11种成分,两者共有2种成分。此外,收集到159个潜在靶点。基因富集分析结果表明,丹红注射液主要通过涉及凝血过程、炎症反应和代谢的21条通路改善阿司匹林抵抗。本研究揭示了丹红注射液主要通过调节凝血过程、炎症反应和代谢,以多成分、多靶点、多通路的方式改善阿司匹林抵抗的作用,为后续研究和实验工作提供了更丰富的信息和依据。

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