A SIRT1 Activator, Ginsenoside Rc, Promotes Energy Metabolism in Cardiomyocytes and Neurons.
Qingxia HuangHang SuBin QiYing WangKaili YanXinglin WangXiangyan LiDa-Qing ZhaoPublished in: Journal of the American Chemical Society (2021)
Targeting SIRT1 signaling pathway could improve glucose aerobic metabolism and mitochondrial biosynthesis to resist cardiac and neurological injuries. Ginsenoside Rc has been identified for targeting mitochondrial function, but how ginsenoside Rc interacts with SIRT1 to regulate energy metabolism in cardiomyocytes and neurons under physiological or ischemia/reperfusion (I/R)-injured conditions has not been clearly investigated. Here, we confirm the interaction of Rc on the residue sites of SIRT1 in promoting its activity. Ginsenoside Rc significantly promotes mitochondrial biogenesis and increases the levels of electron-transport chain complex II-IV in cardiomyocytes and neurons. Meanwhile, ginsenoside Rc pretreatment increases ATP production, glucose uptake, and the levels of hexokinase I/II and mitochondrial pyruvate carrier I/II in both cell models. In addition, ginsenoside Rc activates the PGC1α pathway to induce mitochondrial biosynthesis. More importantly, ginsenoside Rc reduces mitochondrial damage and apoptosis through SIRT1 restoration-mediated reduction of PGC1α acetylation in the I/R-induced cardiac and neuronal models. Collectively, the in vitro and in vivo data indicate that ginsenoside Rc as a SIRT1 activator promotes energy metabolism to improve cardio- and neuroprotective functions under normal and I/R injury conditions, which provides new insights into the molecular mechanism of ginsenoside Rc as a protective agent.
Keyphrases
- oxidative stress
- diabetic rats
- ischemia reperfusion injury
- signaling pathway
- induced apoptosis
- high glucose
- spinal cord
- left ventricular
- skeletal muscle
- type diabetes
- heart failure
- adipose tissue
- immune response
- epithelial mesenchymal transition
- mesenchymal stem cells
- endoplasmic reticulum stress
- endothelial cells
- machine learning
- cell proliferation
- single cell
- high intensity
- deep learning
- pi k akt
- cancer therapy
- metabolic syndrome
- cell therapy
- cerebral ischemia
- subarachnoid hemorrhage
- cell cycle arrest
- artificial intelligence
- weight loss
- atomic force microscopy