心肌保护
线粒体通透性转换孔
MPTP公司
药理学
阿托伐他汀
线粒体
再灌注损伤
缺血
医学
体内
线粒体内膜
化学
生物
细胞凋亡
细胞生物学
心脏病学
内科学
生物化学
程序性细胞死亡
疾病
生物技术
帕金森病
作者
Zhifang Zhao,Wei Cui,Hailin Zhang,Haixia Gao,Xuze Li,Yuanyuan Wang,Haijuan Hu,Bo Li
标识
DOI:10.1016/j.ejphar.2015.01.036
摘要
A number of clinical trials have shown that a high loading dose of atorvastatin (Ator) within 24h before percutaneous coronary intervention (PCI) exerts protective effects on the cardiovascular system. However, the potential mechanisms regarding this rapid benefit of Ator remain elusive. Our study introduced three different ischaemia/reperfusion (I/R) models: I/R in vivo, I/R in vitro and oxygen-glucose deprivation/recovery (OGD/R) in primary neonatal rat cardiac myocytes to observe the protective effect of a single loading dose of Ator pre-treatment and further to explore the potential mechanisms of this protective effect with confocal laser scanning microscopy, flow cytometry, biochemical and morphology methods. We found that the pre-treatment of high-dose Ator decreased the cardiac injury and maintained the integrity of mitochondria in all three of the I/R models, which was similar to ischaemic pre-conditioning (IPC). We used the mitochondrial K(ATP) channels (mitoKATP channels) inhibitor 5-hydroxydecanoate (5-HD) and the mitochondrial permeability transition pore (mPTP) opener lonidamine (LND) to analyse the underlying mechanisms. The results showed that the pre-treatment of Ator significantly decreased I/R-induced injury, and maintained the functional integrity of mitochondria through alleviating Ca(2+) overload, reactive oxygen species burst, inhibiting the opening of mPTP and preventing mitochondrial membrane potential (ΔΨm) depolarisation. The present results demonstrated that a single dose of Ator might protect the myocardium from I/R-induced injury by inhibiting the mPTP opening through activating the mitoKATP channels. This result may contribute toward the development of novel strategies for clinical cardioprotection against I/R injury.
科研通智能强力驱动
Strongly Powered by AbleSci AI