GCLC公司
糖尿病性心肌病
信号转导
心肌病
药理学
化学
癌症研究
细胞生物学
医学
生物
内科学
心力衰竭
下调和上调
生物化学
基因
作者
Guangru Li,Ruiqing Liu,Zeyan Peng,Shengzheng Zhang,Ruopeng Sun,Ziwei Wang,Jing Li,Yang Gao,Yang Xu,Jianlin Cui,Jie Liu,Jie Yan,Lei Cao,Shengwei Ren,Y Chu,Lifeng Feng,Liang Yang,Yanna Shen,Zhi Qi
出处
期刊:Theranostics
[Ivyspring International Publisher]
日期:2025-03-31
卷期号:15 (11): 4989-5006
被引量:1
摘要
Background: Diabetic cardiomyopathy (DCM), a prevalent complication of diabetes, is a major cause of heart failure and death among patients with diabetes. However, the pathological mechanisms underlying the development of DCM remain unclear. This study aims to investigate the role and underlying mechanisms of caveolin-1 (CAV1) in DCM. Methods: DCM model was established in vivo through intraperitoneal injection of streptozotocin in mice and in vitro through high-glucose (HG) treatment in neonatal rat ventricular myocytes (NRVMs). CAV1-knockout (CAV1-KO) and overexpression (by injecting adeno-associated virus 9 (AAV9) encoding CAV1) mice were utilized to explore the role of CAV1 in DCM. Nuclear factor erythroid 2-related factor 2 (NRF2)-KO and AAV9-NRF2 mice and ML385 (an NRF2 inhibitor) were used to investigate the effect of NRF2 on DCM. Results: CAV1 expression was significantly increased in the cardiac tissues of diabetic mice and HG-treated NRVMs. CAV1 deficiency significantly alleviated diabetes-induced myocardial hypertrophy, fibrosis, abnormal mitochondria, excessive reactive oxygen species production, and ferroptosis. Conversely, cardiac-specific overexpression of CAV1 exacerbated cardiac dysfunction and myocardial histological abnormalities caused by diabetes. Mechanistically, CAV1 directly bound to NRF2 and inhibited its nuclear translocation, reducing the transcription of glutamate cysteine ligase catalytic subunit (GCLC), accumulating excess peroxide, and inducing ferroptosis and myocardial injury. Conclusion: CAV1 exacerbates the progression of DCM by suppressing the NRF2/GCLC pathway, suggesting that targeting CAV1 is a potential therapeutic approach for DCM.
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