Zhou Rui, Hang Pengzhou, Zhu Wenliang, Su Zhe, Liang Haihai, Du Zhimin
Institute of Clinical Pharmacology of the Second Hospital, Harbin Medical University, Harbin, People's Republic of China.
Cell Physiol Biochem. 2011;27(3-4):299-304. doi: 10.1159/000327956. Epub 2011 Apr 1.
It has been well documented that ion channels and intercellular gap junctional proteins participated in the pathophysiological processes of myocardial infarction (MI) which resulted in lethal arrhythmias and sudden cardiac death. miRNA expression is dynamically regulated during MI and altered miRNA expression can induce deregulation of ion channel genes at the post-transcriptional level. We conducted a rationally designed bioinformatics analysis combined with experimental approaches to screen key therapeutic members in the IUPHAR database and Wikipedia, a whole genome protein interaction network was established here and comprehensive topological assessment was applied to confirm the individual network status and to reflect their biological significance. Meanwhile, the number of validated and confidently predicted miRNAs regulating each gene encoding ion channel or gap junction protein was counted. miRNA analysis indicated that connexin 43 was under more intensive miRNA regulation compared with the other ion channel and gap junction proteins. Furthermore, the topological network analysis highlighted the important role of connexin 43 in MI and also identified the important biological roles of TRPV4, SCN5A, CACNA1C and TRPC6. The abnormal expression of TRPC6 was experimentally validated in 1 month MI model of rat, which implied its potential therapeutic target for MI. Our work suggested that network systems approach could gain valuable insight into the pathological mechanism of MI which has not been uncovered by previous experimental studies.
已有充分文献证明,离子通道和细胞间缝隙连接蛋白参与了心肌梗死(MI)的病理生理过程,这会导致致命性心律失常和心源性猝死。在心肌梗死期间,miRNA表达受到动态调节,而miRNA表达的改变可在转录后水平诱导离子通道基因的失调。我们进行了合理设计的生物信息学分析,并结合实验方法在国际药理学联合会(IUPHAR)数据库和维基百科中筛选关键治疗靶点,在此建立了一个全基因组蛋白质相互作用网络,并应用全面的拓扑评估来确认各个网络状态并反映其生物学意义。同时,统计了调节每个编码离子通道或缝隙连接蛋白基因的经过验证和可靠预测的miRNA数量。miRNA分析表明,与其他离子通道和缝隙连接蛋白相比,连接蛋白43受到更强烈的miRNA调节。此外,拓扑网络分析突出了连接蛋白43在心肌梗死中的重要作用,还确定了瞬时受体电位香草酸亚型4(TRPV4)、钠通道蛋白5型α亚基(SCN5A)、L型钙通道α1C亚基(CACNA1C)和瞬时受体电位阳离子通道亚家族C成员6(TRPC6)的重要生物学作用。TRPC6的异常表达在大鼠1个月心肌梗死模型中得到实验验证,这暗示了其作为心肌梗死潜在治疗靶点的可能性。我们的工作表明,网络系统方法可以深入了解心肌梗死的病理机制,而这是以往实验研究尚未揭示的。