医学
心脏毒性
环磷酰胺
达帕格列嗪
心肌保护
阿霉素
心肌病
内皮功能障碍
药理学
化疗
心力衰竭
内科学
脂质代谢
血管生成
心脏病学
内分泌学
糖尿病
缺血
2型糖尿病
作者
Ashot Avagimyan,Mohammad Sheibani,P. Nana,L. G. Mkrtchyan,Hasmik Eranosyan,Artashes Aznauryan,Karmen Sahaakyan,Federica Fogacci,Arrigo F G Cicero,Davood Shafie,Nizal Sarrafzadegan
标识
DOI:10.1016/j.ijcard.2023.131331
摘要
The global burden of cardiovascular (CV) and oncological diseases continues to increase. In this regard, the prevention of CV diseases (CVD) before and after cancer treatment is an urgent and unsolved problem in medicine. For this reason, our research group aimed to investigate the possibility of dapagliflozin-related cardioprotection, using an experimental model of chronic Doxorubicin (Adriamycin) + Cyclophosphamide (AC)-mode of chemotherapy-induced cardiomyopathy.The redox balance, lipid metabolism, endothelial dysfunction, and myocardial damage parameters were measured to evaluate the pathways of dapagliflozin-induced stabilization of CV homeostasis.For this study, 80 inbred Wistar rats were randomly assigned to four equally sized groups. A model of chronic cardiotoxicity was attained by using doxorubicin and cyclophosphamide co-administration. In the case, the markers of redox-balance, cholesterol metabolism, endothelial dysfunction, myocardial alteration, and morphological examination were assessed.For all parameters, statistically significant deviations were obtained, emphasizing the sequel of AC-mode chemotherapy-related detergent effect on CV system (group 2). Moreover, the data obtained from dapagliflozin-treated groups (group 3) showed that this strategy provide limitation of lipid peroxidation, cholesterol metabolism and endothelial function normalization, with subsequent morphological preservation of myocardium.Dapagliflozin has a broad spectrum of pleiotropic influences, namely cholesterol-lowering, anti-inflammatory, and endothelium-stabilizing properties. These properties provide a favorable environment for the prevention of chemotherapy-related cardiomyopathy.
科研通智能强力驱动
Strongly Powered by AbleSci AI