Intravenous Nicotinamide Riboside Administration Has a Cardioprotective Effect in Chronic Doxorubicin-Induced Cardiomyopathy.
Ekaterina PodyachevaNatalia Yuryevna SemenovaVsevolod Alexandrovich ZinserlingDaria MukhametdinovaIrina GoncharovaIrina A ZelinskayaEric SviridovMichael MartynovSvetlana OsipovaYana G ToropovaPublished in: International journal of molecular sciences (2022)
Doxorubicin, which is widely used to treat a broad spectrum of malignancies, has pronounced dose-dependent side effects leading to chronic heart failure development. Nicotinamide riboside (NR) is one of the promising candidates for leveling the cardiotoxic effect. In the present work, we performed a comparative study of the cardioprotective and therapeutic actions of various intravenous NR administration modes in chronic doxorubicin-induced cardiomyopathy in Wistar rats. The study used 60 mature male SPF Wistar rats. The animals were randomized into four groups (a control group and three experimental groups) which determined the doxorubicin (intraperitoneally) and NR (intravenous) doses as well as the specific modes of NR administration (combined, preventive). We demonstrated the protective effect of NR on the cardiovascular system both with combined and preventive intravenous drug administration, which was reflected in a fibrous tissue formation decrease, reduced fractional-shortening decrease, and better antioxidant system performance. At the same time, it is important to note that the preventive administration of NR had a more significant protective effect on the animal organism as a whole. This was confirmed by better physical activity parameters and vascular bed conditions. Thus, the data obtained during the study can be used for further investigation into chronic doxorubicin-induced cardiomyopathy prevention and treatment approaches.
Keyphrases
- drug delivery
- high glucose
- diabetic rats
- high dose
- physical activity
- drug induced
- cancer therapy
- heart failure
- oxidative stress
- body mass index
- endothelial cells
- open label
- randomized controlled trial
- machine learning
- electronic health record
- artificial intelligence
- deep learning
- ejection fraction
- big data
- depressive symptoms
- smoking cessation