• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Artificial Organs >Effects of left ventricular assist device on heart failure patients: A bioinformatics analysis
【24h】

Effects of left ventricular assist device on heart failure patients: A bioinformatics analysis

机译：左心室辅助装置对心力衰竭患者的影响：生物信息学分析

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Abstract With the acceleration of demographic aging, heart failure has become a global public health issue. Left ventricular assist device (LVAD) provides a?therapeutic option serving as a bridge to transplantation or destination treatment for end‐stage heart failure. However, neither the?molecular mechanism nor the gene expression profile of LVAD pathophysiology is well understood. Microarray dataset ( GSE21610 ) was retrieved from the online database of the?gene expression omnibus (GEO). Differentially expressed genes (DEGs) between microarrays obtained before and after LVAD therapy were analyzed using GEO2R. Gene Ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway analysis were carried out, followed by protein–protein interaction (PPI) network construction, which was further visualized by the Cytoscape software. Finally, a target gene‐microRNA (miRNA) network was built using the NetworkAnalyst to predict potential miRNA interactions. A total of 36 upregulated DEGs and 14 downregulated DEGs were screened out. Five hub genes with the highest degree of connectivity were identified, including CCL2 , CX3CR1 , CD163 , TLR7 , and SERPINE1. CCL2 was identified as the most outstanding hub gene which is specially regulated by miR‐124, miR‐141, and miR‐495. Our study indicates that CCL2 is crucial to the LVAD pathophysiology. The identified hub genes may?be involved in cardiac inflammatory responses, remodeling, and the chemokine signaling pathway. These DEGs, pathways, hub genes, miRNAs are valuable for further investigations. This study provides a better understanding of the gene expression profile in LVAD pathophysiology.
机译：摘要随着人口老化的加速，心力衰竭已成为全球公共卫生问题。左心室辅助装置（LVAD）提供了一种α治疗选择，用作移植或目的地治疗的桥梁，用于终级心力衰竭。然而，既不是lvad病理生理学的分子机制也不是LVAD病理生理学的基因表达谱。从？基因表达综合（Geo）的在线数据库中检索微阵列数据集（GSE21610）。使用GEO2R分析在LVAD疗法之前和之后获得的微阵列之间的差异表达基因（DEGS）。进行基因本体学富集和基因组的京都植物途径分析，其次是蛋白质 - 蛋白质相互作用（PPI）网络结构，其被Cytoscape软件进一步可视化。最后，使用NetWorkAnalyst建立了靶基因-MicroRNA（miRNA）网络以预测潜在的miRNA相互作用。筛选出总共36个上调的次数和14个下调的次数。鉴定了具有最高连接程度最高的轮毂基因，包括CCL2，CX3CR1，CD163，TLR7和Serpine1。 CCL2被鉴定为最优秀的枢纽基因，由miR-124，miR-141和miR-495特别调节。我们的研究表明，CCL2对LVAD病理生理学至关重要。鉴定的轮毂基因可以？参与心脏炎症反应，重塑和趋化因子信号通路。这些可参数，途径，轮毂基因，MIRNA是有价值的，可以进一步调查。该研究提供了更好地理解LVAD病理生理学中的基因表达谱。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号