Cardiac function-related gene expression profiles in human atrial myocytes
Cardiac function-related gene expression profiles in human atrial myocytes
复制标题
DOI：
10.1016/j.bbrc.2004.06.090
复制
发表时间：
2004-08-06
影响因子：
3.1
通讯作者：
Mano, H
中科院分区：
文献类型：
--
作者：
Ohki-Kaneda, R;Ohashi, J;Mano, H
为了深入了解人类心力衰竭的分子发病机制，我们分析了17个人类右心房肌细胞样本中>12,000基因的表达谱。从这个庞大的数据集，我们在这里试图识别基因簇，其表达水平与心功能的临床参数值精确相关。我们可以发现，从基因表达的角度来看，正常窦性心律的心肌细胞与房颤的心肌细胞有明显的区别。此外，通过新开发的“加权距离法”，基于表达谱的心律失常预测可以有效地诊断我们的样本。我们甚至可以根据所选基因的表达水平构建左室射血分数值的计算公式。据我们所知，这是第一个表明心脏的泵送能力可以通过心房的任何测量来预测的报告。(C) 2004爱思唯尔公司版权所有。
To obtain insights into the molecular pathogenesis of heart failure in humans, we have analyzed the expression profiles of >12,000 genes in a total of 17 human specimens of right atrial myocytes. From this large data set, we here tried to identify gene clusters, expression level of which is correlated precisely with clinical parameter values of cardiac function. We could reveal that cardiac myocytes with normal sinus rhythm were clearly differentiated, in the point of view of gene expression, from those with atrial fibrillation. Further, an expression profile-based prediction of arrhythmia by a newly developed "weighted-distance method" could efficiently diagnose our samples. We could even construct calculation formulae for the values of left ventricular ejection fraction based on the expression level of selected genes. To our best knowledge, this is the first report to indicate that pumping ability of heart can be predicted by any measures of atrium. (C) 2004 Elsevier Inc. All rights reserved.