scholarly journals Antidiabetic Activity of Extract and Fractions of Castanopsis costata Leaves on Alloxan-induced Diabetic Mice

2021 ◽  
Vol 13 (6s) ◽  
pp. 1589-1593
Author(s):  
Maulana Yusuf Alkandahri ◽  
Dani Sujana ◽  
Dadang Muhammad Hasyim ◽  
Mareetha Zahra Shafirany ◽  
Lela Sulastri ◽  
...  
2020 ◽  
Vol 10 (1) ◽  
pp. 68-74
Author(s):  
Sabrina Sanvee ◽  
Oudjaniyobi Simalou ◽  
Gneiny Whad Tchani ◽  
Hèzouwè Kagnou ◽  
Batomayena Bakoma ◽  
...  

Introduction: Bridelia ferruginea is a plant known for its antidiabetic properties. However, few studies on leaf extracts have induced anti-hyperglycemic activity on normal mice subjected to carbohydrate overload. The current study was designed to assess the effect of the leaf extracts’ fraction on fructose-induced diabetic mice. Methods: The in vitro ferric-reducing antioxidant power (FRAP) assay were carried out and the condensed tannins quantified. The vanillin-HCl method was used to characterize the condensed tannins. The antidiabetic effect on fructose-induced diabetic mice was evaluated for 28 days using a fructose-enriched fat diet approach. Results: The fraction confirmed the antioxidant activity with a reducing power of 800 μg/mL comparable to ascorbic acid at 200 μg/mL. The condensed tannins were estimated at 79.6 ± 3.4 mg catechin equivalent per gram of sample. Significant decreases in blood sugar levels of 6.25% at the 7th day, 11.04% at the 14th day, 12.61% at the 21th day, and 11.35% at the 28th day were obtained in mice treated with the extract dose of 200 mg/kg of body weight, compared to the positive control group. The decreases of 37.11% of triglycerides and 40.16% of total cholesterol were also obtained. Conclusion: The investigated fraction showed notable antidiabetic activity and might be a good candidate in the treatment of diabetes.


2018 ◽  
Vol 119 ◽  
pp. 134-140 ◽  
Author(s):  
Lan Zhang ◽  
Yixi Liu ◽  
Yu Ke ◽  
Yuntao Liu ◽  
Xiaohu Luo ◽  
...  

2021 ◽  
pp. jim-2021-001818
Author(s):  
Behnam Mahdavi ◽  
Toktam Hajar ◽  
Alireza Ghodsi ◽  
Majid Mohammadhosseini ◽  
Mohammad Mehmandost ◽  
...  

Undoubtedly, identification of the chemical composition of organic extracts or secondary metabolites of plant materials and evaluation of their potential bioactivity are among the main objectives of natural products-based investigations. In the present study, we report the chemical composition and antidiabetic activity of Sophora pachycarpa (Family Fabaceae) seeds extract (SPE) for the first time. First, the plant seeds were macerated in ethanol. The extract was subjected to analysis on a gas chromatography-mass spectrometry (GC-MS) system to identify the chemical composition. In vivo assay was run to evaluate the antidiabetic activity of the extract. Forty mice were divided into four groups, namely healthy mice, untreated diabetic mice, diabetic mice treated with metformin and diabetic mice treated with SPE. The antidiabetic activity of SPE was analyzed using three statistical methods, namely analysis of variance, K-means, and principal component analysis. According to GC-MS analysis, alkaloids of sophoridine, oleic acid, linoleic acid, and n-hexadecanoic acid were among the most abundant constituent components of SPE. The extract also exhibited a notable antidiabetic activity and remarkably decreased the levels of alkaline phosphatase (ALP), serum glutamic pyruvic transaminase (SGPT), and serum glutamic oxaloacetic transaminase (SGOT) enzymes. The statistical analyses revealed there are no significant differences between the ability of SPE and metformin in the regulation of fasting blood sugar level and liver enzymes (ALP, SGPT, and SGOT). A quinolizidine alkaloid, namely sophoridine, along with fatty acids, viz oleic, linoleic, and n-hexadecanoic acid, were characterized as the major compounds in S. tachycardia seeds extract. The plant extract was also found as a potent agent to reduce blood glucose and liver enzymes.


Author(s):  
Hanefi Ozbek ◽  
Ozlem Bahadir Acikara ◽  
Burcin Ergene Oz ◽  
Serkan Ozbilgin ◽  
Neriman Ipek Kirmizi ◽  
...  

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