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Integrating systematic biological and proteomics strategies to explore the pharmacological mechanism of danshen yin modified on atherosclerosis

机译:整合系统的生物学和蛋白质组学策略探讨丹参的药理学机制改性在动脉粥样硬化下

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摘要

This research utilized the systematic biological and proteomics strategies to explore the regulatory mechanism of Danshen Yin Modified (DSYM) on atherosclerosis (AS) biological network. The traditional Chinese medicine database and HPLC was used to find the active compounds of DSYM, Pharmmapper database was used to predict potential targets, and OMIM database and GeneCards database were used to collect AS targets. String database was utilized to obtain the other protein of proteomics proteins and the protein‐protein interaction (PPI) data of DSYM targets, AS genes, proteomics proteins and other proteins. The Cytoscape 3.7.1 software was utilized to construct and analyse the network. The DAVID database is used to discover the biological processes and signalling pathways that these proteins aggregate. Finally, animal experiments and proteomics analysis were used to further verify the prediction results. The results showed that 140 active compounds, 405 DSYM targets and 590 AS genes were obtained, and 51 differentially expressed proteins were identified in the DSYM‐treated ApoE‐/‐ mouse AS model. A total of 4 major networks and a number of their derivative networks were constructed and analysed. The prediction results showed that DSYM can regulate AS‐related biological processes and signalling pathways. Animal experiments have also shown that DSYM has a therapeutic effect on ApoE‐/‐mouse AS model (P < .05). Therefore, this study proposed a new method based on systems biology, proteomics, and experimental pharmacology, and analysed the pharmacological mechanism of DSYM. DSYM may achieve therapeutic effects by regulating AS‐related signalling pathways and biological processes found in this research.
机译:该研究利用系统的生物和蛋白质组学策略来探讨Danshen Yin改性(Dsym)对动脉粥样硬化(AS)生物网络的监管机制。中医数据库和HPLC用于找到DSYM的活性化合物,用于预测潜在目标,OMIM数据库和Genecards数据库用于收集为目标。用串数据库获得蛋白质组学蛋白的其他蛋白质和Dsym靶标的蛋白质 - 蛋白质相互作用(PPI)数据,作为基因,蛋白质组学蛋白质和其他蛋白质。 Cytoscape 3.7.1软件用于构建和分析网络。 David数据库用于发现这些蛋白质聚集的生物过程和信号传导途径。最后,使用动物实验和蛋白质组学分析来进一步验证预测结果。结果表明,获得140个活性化合物,405个Dsym靶和590个作为基因,并在Dsym处理的apoe - / - 鼠标中鉴定51个差异表达的蛋白质作为模型。建立并分析了共有4个主要网络和许多衍生网络。预测结果表明,DSYM可以调节用作相关的生物过程和信号传导途径。动物实验还表明,DSYM对Apoe - / - 鼠标作为模型的治疗作用(P <.05)。因此,本研究提出了一种基于系统生物学,蛋白质组学和实验药理的新方法,并分析了Dsym的药理学机制。 DSYM可以通过调节本研究中发现的用作相关的信号通路和生物学过程来实现治疗效果。

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