Menghai Wu, Huaxin Qi, Jun Li, Periyannan Velu, Xia Han
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引用次数: 0
Abstract
Background: A major factor in type 1 diabetes mortality is Ischemic Heart Disease (IHD). In order to treat IHD, blood flow must be restored to the heart, which results in myocardial ischemia-reperfusion (MI/R) damage. While rosmanol inhibits MI/R damage, its role in diabetic- MI/R (D-MI/R) injury remains unclear. Both microRNA (miR) 126 and the PI3K/AKT signaling pathway have been linked to preventing MI/R damage.
Objective: The objective of the present study was to investigate whether rosmanol inhibits DMI/ R-injury in diabetic rats and whether miR-126-phosphatidylinositol 3-kinase (PI3K)/ protein kinase B axis (miR-126-PI3K/AKT) is implicated in this protective effect.
Methods: For 30 days, diabetic rats received either distilled water or the drug rosmanol (40 mg/kg, orally) before being subjected to MI/R.
Results: The findings from the current study demonstrated how rosmanol reduced MI/R damage in rats with diabetes caused by streptozotocin (STZ). Using spectrophotometry, it was possible to measure the decrease in myocardial enzyme levels, the rise in cardiac viability, the inhibition of myocardial oxidative stress, the increase in cardiac function, and the detection of these changes using a hemodynamic monitoring system. In addition, rosmanol augmented the miR- 126-PI3K/AKT in the hearts of ischemic rats. After stimulating the myocardial miR-126- PI3K/AKT axis, our results showed that rosmanol protected the heart against MI/R in STZinduced diabetic rats.
Conclusion: According to the most recent research, rosmanol may be a useful tool in the therapy of diabetic IHD since it is an effective agent against D-MI/R damage.
期刊介绍：
Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal:
Target identification and validation
Assay design, development, miniaturization and comparison
High throughput/high content/in silico screening and associated technologies
Label-free detection technologies and applications
Stem cell technologies
Biomarkers
ADMET/PK/PD methodologies and screening
Probe discovery and development, hit to lead optimization
Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries)
Chemical library design and chemical diversity
Chemo/bio-informatics, data mining
Compound management
Pharmacognosy
Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products)
Natural Product Analytical Studies
Bipharmaceutical studies of Natural products
Drug repurposing
Data management and statistical analysis
Laboratory automation, robotics, microfluidics, signal detection technologies
Current & Future Institutional Research Profile
Technology transfer, legal and licensing issues
Patents.
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