Antidiabetic Potential of Alcoholic and Aqueous Extracts of Ficus Racemosa Linn. Bark in Normal and Alloxan Induced Diabetic Rats

Abstract

The present investigation aims to examine the diabetic potential of the plant Ficus racemosa in normal and alloxan induced diabetic rats. The bark extract with water, petroleum ether and with alcohol were screened for blood glucose lowering activity and the alcoholic extract having better therapeutic potential was prepared through Soxhlet extraction for further study. Alcoholic and aqueous extract of bark of Ficus racemosa at a dose of 400 mg/Kg was given to normal and alloxan induced diabetic rats and the blood samples taken from the retero-orbital plexus vein were analyzed for blood glucose level as per standard protocol with available kits through Auto-analyzer. The comparison of blood sugar level as per model schedule showed that in normal group the ethanolic extract, at a dose of 400 mg/Kg intra-peritoneal, the blood glucose lowering 28.66 % while in aqueous extract given group it was 25.90 %. In alloxan induced diabetic rats decrease in blood glucose level in aqueous and ethanolic extract group was found to be 27.01 % and 45.03 % respectively. In conclusion, the ethanolic extract of Ficus racemosa reflected anti-diabetic potential through its glucose lowering activity in experimental animals. It supported the folklore claim of anti-diabetic activity of the plant.

Hypoglycemic activity of Thai medicinal plants selected from the Thai/Lanna Medicinal Recipe Database MANOSROI II

“…The elevation in FBG levels observed in the mice after extract ingestion (with the minus (−) signs) might be due to the stimulation of hepatic glucose up take as a result of hormonal action or multiple gut peptides that act on distant target sites to promote the efficient uptake and storage of energy (Porte et al, 2003;Drucker, 2007). Similar elevations in FBG post medicinal plant extracts ingestion was observed in previous studies (Sachan et al, 2009;Jo et al, 2011).…”

Investigation of Quantitative Plant Activity Relationship (QPAR) for Diabetics II Using Genetic Algorithm

“…It is found from the literature (Ezike et al, 2010;Monago and Alumanah, 2005;Okpanachi et al, 2010;Mazumder et al, 2009;Routhu et al, 2005;Sachan et al, 2009;Arambewela et al, 2005;Dixit et al, 1986;Niedzielski and Swift, 2002;Qureshi et al, 2009;Satyanarayana et al, 2004) that, it is very complex task to make optimized drug to maintain high RBGL. As it is purely biological application, many physical experiments are required before any application of mathematics and computer.…”

“…In the present work, Genetic Algorithm (GA) is used to develop computational prediction models on a dataset of antidiabetic plants. Gas is general-purpose evolutionary algorithms that can be used for optimization (Sachan et al, 2009). In a GA, each population member is a potential solution, which is equal to its population size.…”

Effect of Pongamia Bark Extract on antihyperglycemic effect of glibenclamide for possible herb-drug interaction

“…1 It is also associated with secondary complications including retinopathy, nephropathy, neuropathy, angiopathy, etc. leading to increased risk of morbidity and mortality rate.…”