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人类心脏病中微小RNA表达的改变。

Altered microRNA expression in human heart disease.

作者信息

Ikeda Sadakatsu, Kong Sek Won, Lu Jun, Bisping Egbert, Zhang Hao, Allen Paul D, Golub Todd R, Pieske Burkert, Pu William T

机构信息

Department of Cardiology, Children's Hospital Boston, Boston, MA 02115, USA.

出版信息

Physiol Genomics. 2007 Nov 14;31(3):367-73. doi: 10.1152/physiolgenomics.00144.2007. Epub 2007 Aug 21.

Abstract

MicroRNAs are recently discovered regulators of gene expression and are becoming increasingly recognized as important regulators of heart function. Genome-wide profiling of microRNAs in human heart failure has not been reported previously. We measured expression of 428 microRNAs in 67 human left ventricular samples belonging to control (n = 10), ischemic cardiomyopathy (ICM, n = 19), dilated cardiomyopathy (DCM, n = 25), or aortic stenosis (AS, n = 13) diagnostic groups. miRNA expression between disease and control groups was compared by ANOVA with Dunnett's post hoc test. We controlled for multiple testing by estimating the false discovery rate. Out of 428 microRNAs measured, 87 were confidently detected; 43 were differentially expressed in at least one disease group. In supervised clustering, microRNA expression profiles correctly grouped samples by their clinical diagnosis, indicating that microRNA expression profiles are distinct between diagnostic groups. This was further supported by class prediction approaches, in which the class (control, ICM, DCM, AS) predicted by a microRNA-based classifier matched the clinical diagnosis 69% of the time (P < 0.001). These data show that expression of many microRNAs is altered in heart disease and that different types of heart disease are associated with distinct changes in microRNA expression. These data will guide further studies of the contribution of microRNAs to heart disease pathogenesis.

摘要

微小RNA是最近发现的基因表达调节因子,并且越来越被认为是心脏功能的重要调节因子。此前尚未有关于人类心力衰竭中微小RNA全基因组分析的报道。我们检测了67份人类左心室样本中428种微小RNA的表达,这些样本分属于对照组(n = 10)、缺血性心肌病(ICM,n = 19)、扩张型心肌病(DCM,n = 25)或主动脉狭窄(AS,n = 13)诊断组。通过方差分析及Dunnett事后检验比较疾病组和对照组之间的miRNA表达。我们通过估计错误发现率来控制多重检验。在所检测的428种微小RNA中,有87种被可靠检测到;其中43种在至少一个疾病组中差异表达。在监督聚类中,微小RNA表达谱根据临床诊断正确地对样本进行了分组,表明不同诊断组之间的微小RNA表达谱是不同的。基于类别的预测方法进一步支持了这一点,其中基于微小RNA的分类器预测的类别(对照组、ICM、DCM、AS)与临床诊断的匹配率为69%(P < 0.001)。这些数据表明,许多微小RNA的表达在心脏病中发生改变,并且不同类型的心脏病与微小RNA表达的不同变化相关。这些数据将为进一步研究微小RNA对心脏病发病机制的作用提供指导。

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