Cardioprotective Effect of Rumex vesicarius Linn. Leaf Extract against Catecholamine-Induced Cardiotoxicity.
Imran Ahmad KhanMusaddique HussainNadia HussainAli Musfer AlqahtaniTaha AlqahtaniPublished in: Molecules (Basel, Switzerland) (2022)
Rumex vesicarius (L.) is a folklore medicinal herb that has been used for centuries to cure cardiovascular diseases. The present work was carefully designed to ascertain the pharmacological basis for R. vesicarius 's therapeutic efficacy in cardiovascular diseases, as well as the underlying mechanism. In the ex vivo investigation, the aqueous-methanolic leaf extract of R. vesicarius was shown to have endothelium-dependent vasorelaxant effects in rabbit aorta tissue preparations, and its hypotensive responses were quantified by pressure and force transducers coupled to the Power Lab Data Acquisition System. Furthermore, when rabbits were subjected to adrenaline-induced myocardial infarction, R. vesicarius demonstrated cardioprotective characteristics. In contrast to the intoxicated group, the myocardial infarction model showed lower ALP, CK-MB, CRP, LDH, ALT, troponin, and AST levels ( p > 0.005-0.000), as well as edema, necrosis, apoptosis, inflammatory cell enrolment, and necrosis. R. vesicarius exhibited significant antioxidant activity and delayed noradrenaline-induced platelet aggregation. Its cardioprotective, anticoagulant, and vasorelaxant properties in both investigations (in vivo and ex vivo) are mediated through partial endothelium-dependent, NO and calcium channel blockade mediated vasorelaxation. The minimizing of adrenaline, oxidative stress, and tissue damage demonstrate its therapeutic efficacy in cardiovascular diseases.
Keyphrases
- oxidative stress
- diabetic rats
- cardiovascular disease
- high glucose
- heart failure
- left ventricular
- magnetic resonance
- drug induced
- coronary artery
- single cell
- type diabetes
- venous thromboembolism
- electronic health record
- endothelial cells
- cardiovascular risk factors
- ionic liquid
- pulmonary artery
- big data
- atrial fibrillation
- single molecule
- artificial intelligence
- heat shock protein
- deep learning
- heat shock
- data analysis