脓毒症患者血浆循环miRNA表达谱与正常人群差异的初步研究

发布时间：2018-04-14 14:37

  本文选题：脓毒症 + 循环miRNA　； 参考：《实用医学杂志》2017年24期

【摘要】：目的应用微阵列芯片分析技术筛选脓毒症诊断和预后相关循环miRNAs,通过实时荧光定量PCR验证,并应用生物信息学方法预测脓毒症相关靶基因和发病机制。方法入选脓毒症、脓毒症休克患者及正常人各3例,提取血浆miRNA,分别与第7代人,小鼠和大鼠的miRCURY LNA~(TM)microRNA芯片杂交,扫描信号进行差异表达谱和聚类分析;应用qRT-PCR验证芯片结果。通过miRanda和Targetscan数据库预测miRNAs靶基因及KEGG数据库分析其通路。结果与正常组相比,脓毒症组有57种miRNAs表达上调,脓毒症休克组有11种(fold change≥2.0;P0.05)。miR-519c-5p被用于qRT-PCR验证,结果表明其在脓毒症中表达明显高于正常组,差异有统计学意义(P0.05)。通过生物信息学方法我们预测了29个miR-519c-5p相关靶基因,通过KEGG数据库分析其中有7个作用于脓毒症相关通路。最终表明MiR-519c-5p可能正性调节细胞周期调控基因MAP2K4,通过MAPK信号通路导致血管内皮细胞凋亡。结论首次证明血浆miR-519c-5p可能可用于脓毒症诊断并作为可能潜在靶点用于脓毒症治疗。
[Abstract]:Objective to screen circulating miRNAs-associated sepsis by microarray analysis, and to predict the target genes and pathogenesis of sepsis by real-time fluorescence quantitative PCR.Methods Plasma miRNAs were extracted from septic patients, septic shock patients and normal controls, and hybridized with miRCURY LNA~(TM)microRNA microarray of the 7th generation, mice and rats, respectively. The differential expression profile and cluster analysis were performed by scanning signals, and the results were verified by qRT-PCR.MiRNAs target gene and KEGG database were analyzed by miRanda and Targetscan database.Results compared with the normal group, 57 kinds of miRNAs expression were up-regulated in septic group and 11 kinds of change 鈮，

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