粒体自噬
心力衰竭
线粒体
医学
活性氧
压力过载
内科学
肌肉肥大
内分泌学
线粒体ROS
心功能曲线
α-酮戊二酸
氧化应激
纤维化
心脏病学
生物
细胞凋亡
自噬
生物化学
心肌肥大
酶
作者
Dongqi An,Qingchun Zeng,Peijian Zhang,Zhuang Ma,Hao Zhang,Zuheng Liu,Jiaying Li,Hao Ren,Dingli Xu
出处
期刊:Redox biology
[Elsevier BV]
日期:2021-07-29
卷期号:46: 102088-102088
被引量:106
标识
DOI:10.1016/j.redox.2021.102088
摘要
Increasing evidence indicates the involvement of myocardial oxidative injury and mitochondrial dysfunction in the pathophysiology of heart failure (HF). Alpha-ketoglutarate (AKG) is an intermediate metabolite of the tricarboxylic acid (TCA) cycle that participates in different cellular metabolic and regulatory pathways. The circulating concentration of AKG was found to decrease with ageing and is elevated after acute exercise and resistance exercise and in HF. Recent studies in experimental models have shown that dietary AKG reduces reactive oxygen species (ROS) production and systemic inflammatory cytokine levels, regulates metabolism, extends lifespan and delays the occurrence of age-related decline. However, the effects of AKG on HF remain unclear. In the present study, we explored the effects of AKG on left ventricular (LV) systolic function, the myocardial ROS content and mitophagy in mice with transverse aortic constriction (TAC). AKG supplementation inhibited pressure overload-induced myocardial hypertrophy and fibrosis and improved cardiac systolic dysfunction; in vitro, AKG decreased the Ang II-induced upregulation of β-MHC and ANP, reduced ROS production and cardiomyocyte apoptosis, and repaired Ang II-mediated injury to the mitochondrial membrane potential (MMP). These benefits of AKG in the TAC mice may have been obtained by enhanced mitophagy, which cleared damaged mitochondria. In summary, our study suggests that AKG improves myocardial hypertrophy remodelling, fibrosis and LV systolic dysfunction in the pressure-overloaded heart by promoting mitophagy to clear damaged mitochondria and reduce ROS production; thus, AKG may have therapeutic potential for HF.
科研通智能强力驱动
Strongly Powered by AbleSci AI