Department of Medical Cardiology, Tongji Hospital, Affiliated to Tongji University, Shanghai, China.
Eur Rev Med Pharmacol Sci. 2013 Apr;17(7):903-11.
Chronic heart failure (HF) is characterized by diminished cardiac output and pooling of blood in the venous system.
We used the GSE1145 microarray data to identify potential genes that related to heart failure to construct a regulation network.
In the network, some of transcription factors (TFs) and target genes have been proved to be related to heart failure in previous study. The gene MYC, RELA, HIF1A, NFκB1 and SMAD3 are as hub nodes in our transcriptional network and have a close relationship with heart failure.
The study did not address regulation network but researched for the significant pathways related to chronic heart failure. Besides, RELA and NFκB1 interfere with each other in response to HF.
It is demonstrated that transcriptional network analysis is useful in identification of the candidate genes in heart failure.
慢性心力衰竭（HF）的特征是心输出量减少和静脉系统血液淤积。
我们使用 GSE1145 微阵列数据来识别与心力衰竭相关的潜在基因，以构建调控网络。
在网络中，一些转录因子（TFs）和靶基因在前人的研究中已被证明与心力衰竭有关。基因 MYC、RELA、HIF1A、NFκB1 和 SMAD3 是我们转录网络中的枢纽节点，与心力衰竭密切相关。
该研究没有解决调控网络的问题，而是研究了与慢性心力衰竭相关的重要途径。此外，RELA 和 NFκB1 在应对 HF 时相互干扰。
研究表明，转录网络分析有助于鉴定心力衰竭候选基因。
