Effects of Limb Remote Ischemic Conditioning and Asafoetida on Biochemical, Histological, and Neurological Parameters and Metabolic Gene Expression in Diabetic Rats.
Seyyed Majid Bagheri, Elham Hakimizadeh, Mohammad Allahtavakoli
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引用次数: 0
Abstract
Background: Diabetes is a global metabolic disease caused by several factors including an incorrect lifestyle. The presence of antioxidant and anti-inflammatory compounds has made asafoetida a suitable candidate for anti-diabetes studies. On the other hand, Limb Remote Ischemic Conditioning (LRIC) is a new method that has been taken into consideration in recent years due to the activation of anti-apoptotic, anti-inflammatory, and antioxidant pathways.
Objective: According to this evidence, we aim to investigate the antidiabetic effects of asafoetida and LRIC on type 2 diabetic rats.
Materials and methods: Diabetes was induced using a high-fat diet (60%) and streptozotocin injection (35mg/kg), and the animals were divided into five groups. The treatment groups included asafoetida 50mg/kg, LRIC group and asafoetida 50 mg/kg + LRIC group. Two groups were considered normal and diabetic control groups. At the end of the experiment, glucose, lipid profile and liver enzymes, as well as tissue changes in the liver and pancreas were examined. The expression levels of adiponectin, GLUT4, insulin receptor and AMPK in skeletal muscle as well as damage to peripheral and central nerves were investigated.
Results: The results showed that in the asafoetida and asafoetida + LRIC groups, a significant improvement was observed in the measured parameters, and no significant effect was observed in the LRIC group.
Conclusion: These results indicate that, contrary to some notions about the effect of LRIC on the improvement of diabetes, this method cannot reduce blood sugar, fat, and other complications caused by diabetes.
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:
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