摘要目的：利用基因芯片筛选出扩张型心肌病（DCM）中微RNA（miRNA）的差异表达谱，通过生物信息学技术对miRNA靶基因进行预测，构建DCM相关的基因调控网络。方法收集26例扩张型心肌病患者及相匹配的30例健康者为对照。抽提和纯化血浆RNA，基因芯片扫描，用Real?time PCR验证及定量检测，通过生物信息学技术对miRNA靶基因进行预测，构建DCM相关miRNA?Gene?Network网络。结果通过基因芯片筛选发现DCM有24个miRNA差异表达，其中15个miRNA表达上调，9个miRNA表达下调。生物信息学分析发现，miR?20a、miR?23a、miR?24这三个miRNA可能在DCM中发挥重要作用；而进一步的Real?time PCR发现在DCM组，miR?20a的表达量与对照组比较无统计学差异（1.29±1.12比1.07±0.74，P=0.557），而miR?23a和miR?24的表达量均高于对照组（2.72±1.45比1.19±1.05；1.91±1.09比0.954±0.81，均P＜0.01），差异有统计学意义。结论 DCM与正常健康者之间存在miRNA差异表达，这些miRNA可能与DCM有关，而miR?23a和miR?24在DCM患者中表达升高，它们可能是DCM的关键miRNA。

abstractsObjective To screen out the specific expression of miRNA in dilated cardiomyopathy (DCM) by miRNA array,and to constructing DCM related gene regulatory network by bioinformatic prediction of the miRNA target genes. Methods Twenty?six patients with DCM and 30 matched healthy controls were included. The extracted and purified plasma RNA was screened by miRNA array. Real time quantitative PCR was used to verify the findings of miRNA array. The miRNA target genes were predicted by bioinformatics,and the DCM related miRNA?Gene?Network was constructed. Results According to the miRNA array,24 differentially expressed miRNA in DCM were found,including 15 up?regulated miRNA expression and 9 down?regulated miRNA expression. Bioinformatics analysis showed that miR?20a,miR?23a and miR?24 may play significant role in DCM. Further Real?time PCR found that there was no statistical difference in the miR?20a expression between the DCM group and the control group(1.29 ± 1.12 vs 1.07 ± 0.74,P=0.557). The expression of miR?23a and miR?24 in the DCM group were higher than that in the control group(2.72 ± 1.45 vs 1.19 ± 1.05;1.91 ± 1.09 vs 0.954 ± 0.81,all P<0.01),and the difference was statistically significant. Conclusion There is difference in miRNA expression between DCM patients and healthy subjects. The miRNA may be related to DCM,whereas the increased expression of miR?23a and miR? 24 in DCM patients may be the key miRNAs in DCM.