Canagliflozin mitigates ferroptosis and ameliorates heart failure in rats with preserved ejection fraction.
Sai MaLi-Li HeGuo-Rui ZhangQing-Juan ZuoZhong-Li WangJian-Long ZhaiTing-Ting ZhangYan WangHui-Juan MaYi-Fang GuoPublished in: Naunyn-Schmiedeberg's archives of pharmacology (2022)
Recently, hypoglycemic drugs belonging to sodium-glucose cotransporter 2 inhibitors (SGLT2i) have generated significant interest due to their clear cardiovascular benefits for heart failure with preserved ejection fraction (HFpEF) since there are no effective drugs that may improve clinical outcomes for these patients over a prolonged period. But, the underlying mechanisms remain unclear, particularly its effects on ferroptosis, a newly defined mechanism of iron-dependent non-apoptotic cell death during heart failure (HF). Here, with proteomics, we demonstrated that ferroptosis might be a key mechanism in a rat model of high-salt diet-induced HFpEF, characterized by iron overloading and lipid peroxidation, which was blocked following treatment with canagliflozin. Data are available via ProteomeXchange with identifier PXD029031. The ferroptosis was evaluated with the levels of acyl-CoA synthetase long-chain family member 4, glutathione peroxidase 4, ferritin heavy chain 1, transferrin receptor, Ferroportin 1, iron, glutathione, malondialdehyde, and 4-hydroxy-trans-2-nonenal. These findings highlight the fact that targeting ferroptosis may serve as a cardioprotective strategy for HFpEF prevention and suggest that canagliflozin may exert its cardiovascular benefits partly via its mitigation of ferroptosis.
Keyphrases
- cell death
- ejection fraction
- heart failure
- aortic stenosis
- cell cycle arrest
- iron deficiency
- fatty acid
- end stage renal disease
- left ventricular
- mass spectrometry
- atrial fibrillation
- machine learning
- electronic health record
- prognostic factors
- acute heart failure
- big data
- hydrogen peroxide
- radiation therapy
- cardiac resynchronization therapy
- combination therapy
- peritoneal dialysis
- drug delivery
- drug induced
- binding protein
- deep learning
- transcatheter aortic valve replacement
- patient reported