Epigenetic mechanisms underlying cardiac degeneration and regeneration.
Epigenetic mechanisms underlying cardiac degeneration and regeneration.
复制标题
DOI：
10.1016/j.ijcard.2014.02.008
复制
发表时间：
2014-04-15
影响因子：
3.5
通讯作者：
Tyagi, Suresh C.
中科院分区：
文献类型：
--
作者：
Chaturvedi, Pankaj;Tyagi, Suresh C.
表观遗传修饰由DNA甲基化、组蛋白修饰和microRNA介导的基因调控定义，已被发现与心功能障碍和心脏再生有关，但其机制尚不清楚。MicroRNA疗法已被提出用于心脏再生和干细胞向心肌细胞的增殖。心血管疾病以CpG岛异常甲基化为代表，抑制DNA甲基转移酶（如5-甲基Aza胞苷）的药物正在试验中。组蛋白修饰，包括乙酰化、甲基化、磷酸化、ADP核糖基化、sumo化和生物素化，在心脏肥大、心脏发育和收缩性的异常表型中都有体现。MicroRNAs已被有效地用于表观遗传重编程成纤维细胞到心肌细胞。MicroRNAs是早期检测心脏疾病的潜在生物标志物，这些疾病很难诊断，并且在后期才被捕获。由于microrna调节昼夜节律基因，例如生物钟的夜动蛋白基因受mir122调控，因此在调节生物钟方面具有深远的作用，这可能解释了早晨时段心血管风险高的原因。这篇综述强调了表观遗传学在疾病管理策略中的作用。
Epigenetic modifications which are defined by DNA methylation, histone modifications and microRNA mediated gene regulation, have been found to be associated with cardiac dysfunction and cardiac regeneration but the mechanisms are unclear. MicroRNA therapies have been proposed for cardiac regeneration and proliferation of stem cells into cardiomyocytes. Cardiovascular disorders are represented by abnormal methylation of CpG islands and drugs that inhibit DNA methyl transferases such as 5-methyl Aza cytidine are under trials. Histone modifications which include acetylation, methylation, phosphorylation, ADP ribosylation, sumoylation and biotinylation are represented within abnormal phenotypes of cardiac hypertrophy, cardiac development and contractility. MicroRNAs have been used efficiently to epigenetically reprogram fibroblasts into cardiomyocytes. MicroRNAs represent themselves as potential biomarkers for early detection of cardiac disorders which are difficult to diagnose and are captured at later stages. Because microRNAs regulate circadian genes, for example a nocturnin gene of circadian clockwork is regulated by mir122, they have profound role in regulating biological clock and this may explain the high cardiovascular risk during the morning time. This review highlights the role of epigenetics which can be helpful in disease management strategies.
登录
查看更多内容
影响因子：
3.7
作者：
Boomsma RA;Geenen DL
通讯作者：
Geenen DL
影响因子：
64.8
作者：
Agger, Karl;Cloos, Paul A. C.;Helin, Kristian
通讯作者：
Helin, Kristian
影响因子：
2.7
作者：
Boonbaichaiyapruck, Sarana;Pienvichit, Pavit;Hongeng, Suradej
通讯作者：
Hongeng, Suradej
DOI：
10.1097/ede.0b013e3181f20457
发表时间：
2010-11
期刊：
Epidemiology (Cambridge, Mass.)
影响因子：
--
作者：
Baccarelli A;Wright R;Bollati V;Litonjua A;Zanobetti A;Tarantini L;Sparrow D;Vokonas P;Schwartz J
通讯作者：
Schwartz J
DOI：
10.1164/rccm.200807-1097oc
发表时间：
2009-04-01
影响因子：
24.7
作者：
Baccarelli, Andrea;Wright, Robert O.;Schwartz, Joel
通讯作者：
Schwartz, Joel