Table_5_Differential Expression Profiles and Functional Analysis of Long Non-coding RNAs in Children With Dilated Cardiomyopathy.XLSX

Aim: To evaluate the expression profile of long non-coding RNAs (lncRNAs) in different left ventricular function of dilated cardiomyopathy (DCM) in children and explore their possible functions.
Methods: The lncRNA microarray experiment was used to determine the differential expression profile of lncRNA in three children with DCM and three healthy volunteers. The functional analysis and the construction of the lncRNA-mRNA interaction network were carried out to study the biological functions. Quantitative real-time polymerase chain reaction (qRT-PCR) analysis was used to verify the microarray data.
Results: There were 369 up-regulated lncRNAs identified in the DCM patients (fold change >2, P < 0.05), and 505 down-regulated lncRNAs. Based on target gene prediction and co-expression network construction, 9 differentially expressed lncRNAs were selected for the PCR to verify the accuracy of the microarray data, of which 5 were up-regulated and 4 were down-regulated, and finally proved that 7 of them were consistent with the trend of microarray data results. Four of these lncRNAs had significant differences between the patients with poor cardiac function and patients with improved left ventricle function.
Conclusion: LncRNAs may play an important role in pediatric DCM and may provide a new perspective for the pathogenesis, diagnosis, and treatment of this disease.

研究目的：评估儿童扩张型心肌病（dilated cardiomyopathy, DCM）不同左心室功能状态下长链非编码RNA（long non-coding RNAs, lncRNAs）的表达谱，并探讨其潜在生物学功能。
研究方法：采用长链非编码RNA芯片实验，检测3例儿童扩张型心肌病患者与3例健康志愿者的长链非编码RNA差异表达谱；通过功能分析及构建长链非编码RNA-mRNA互作网络，探究其生物学功能；采用实时定量聚合酶链反应（quantitative real-time polymerase chain reaction, qRT-PCR）验证芯片数据的准确性。
研究结果：扩张型心肌病患者中共筛选出369个上调表达的长链非编码RNA（倍数变化>2，P<0.05），以及505个下调表达的长链非编码RNA。基于靶基因预测及共表达网络构建，选取9个差异表达的长链非编码RNA进行实时定量聚合酶链反应验证，其中5个为上调表达、4个为下调表达，最终证实其中7个的表达趋势与芯片结果一致。另有4个长链非编码RNA在心功能不良患儿与左心室功能改善患儿中存在显著表达差异。
研究结论：长链非编码RNA可能在儿童扩张型心肌病的发生发展中发挥重要作用，可为该病的发病机制、诊断及治疗提供全新的研究视角。