【摘要】 目的在心肌桥患者血清中筛选出表达差异的microRNA(miRNA),寻找早期诊断心肌桥的血清生物标记物。方法采集100例心肌桥患者及50例对照者的血清样本,提取血清中的miRNA,用Microarray基因芯片方法在病例组20例及对照组10例混合样本中筛选差异的血清miRNA,分析结果并采用实时荧光定量PCR对差异性显著的miRNA进行验证。结果 Microarray检测结果显示部分miRNA在心肌桥患者血清中表达异常,心肌桥患者Hsa-miR-92a、Hsa-miR-487a和Hsa-miR-126表达量上升,Hsa-miR-29b表达量下降,与对照组相比差异有统计学意义(P<0.05)。Hsa-miR-92a、Hsa-miR-487a、Hsa-miR-126和Hsa-miR-29b的ROC曲线下面积分别为0.998、0.956、0.719和0.986,通过最佳切点分析,其诊断心肌桥的灵敏度和特异度分别为:97%和100%、97%和100%、45.5%和100%、87.9%和100%。结论心肌桥患者血清中存在miRNA表达差异,Hsa-miR-92a、Hsa-miR-487a、Hsa-miR-126和Hsa-miR-29b是潜在诊断心肌桥的血清标记物。更多还原

【Abstract】 Aim To identify a serum microRNA(miRNA) expression profile that can serve as a novel diagnostic biomarker for myocardial bridging(MB) detection.Methods Serum samples were taken from 100 MB patients and 50 controls.An initial screening of miRNA expression by microarray was performed using serum samples pooled from 20 MB patients and 10 controls,respectively.Differential expression was validated using hydrolysis probe-based stem-loop quantitative reverse transcription polymerase chain reaction(RT-qPCR) in individual samples.Results The microarray results demonstrated that 21 serum miRNAs were markedly different in the MB patients compared with the controls.The RT-qPCR analysis further identified a profile of four serum miRNAs(miR-92a,miR-487a,miR-29b and miR-126) as a biomarker for MB detection.The areas under the receiver operating characteristic(ROC) curve of this four-serum miRNAs were 0.998,0.956,0.719 and 0.986 respectively,and using the optimal cutoff value,we obtained the following sensitivity and specificity values to detect MB: 97% and 100%,97% and 100%,45.5% and 100%,87.9% and 100% respectively.Conclusions We identified four serum miRNAs signature for MB diagnosis by genome-wide serum miRNA expression profiling.Expression levels of this serum miRNA may be a novel biomarker for early detection of MB in human.更多还原