The combined effect of Trigonella foenum seeds and Coriandrum sativum leaf extracts in alloxan-induced diabetes mellitus wistar albino rats
Autor: | Kumar Rn, Varghese Am, Vangoori Y, Amaravathi P, C. Ayyanna, Yella Sst |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
0106 biological sciences
Trigonella Coriandrum medicine.medical_treatment 01 natural sciences alloxan Glibenclamide chemistry.chemical_compound Sativum Diabetes mellitus Alloxan Medicine Coriandrum sativum biology Traditional medicine Trigonella foenum Cholesterol business.industry Insulin General Medicine biology.organism_classification medicine.disease 0104 chemical sciences 010404 medicinal & biomolecular chemistry chemistry glibenclamide business 010606 plant biology & botany medicine.drug Research Article |
Zdroj: | Bioinformation |
ISSN: | 0973-2063 |
Popis: | Diabetes mellitus is a group of heterogeneous disorders commonly presenting with episodes of hyperglycemia and glucose intolerance, as a result of lack of insulin, ineffective insulin action, and/or both. It is our interest to study the effect of ethanolic extract of Trigonella foenum seeds (fenugreek) and Coriandrum sativum leaves (dhaniya) or its combination in alloxan induced diabetes mellitus wistar albino rats. Rats were randomly separated into six groups where group 1 animals received 2% acacia, group 2 animals received alloxan dose of 150 mg/kg, group 3 animals received glibenclamide dose of 0.5 mg/kg and group 4, 5 and 6 animals received ethanolic extracts of Trigonella foenum seeds, Coriandrum sativum leaves and combination of both extracts at the dose of 100mg/kg for 21 days. Different biochemical parameters such as hepatic and renal biomarkers and histopathology of pancreas were studied. Combination of both extracts showed significant decrease in blood glucose, cholesterol, triglycerides, LDL, VLDL levels, SGOT, SGPT, urea, creatinine and increase in HDL levels and body weight than individual extracts. Thus, we show the antidiabetic activity of poly herbal formulation using biochemical and histo pathological data. |
Databáze: | OpenAIRE |
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