Abstract

The use of herbs in the management of diabetes mellitus and its complications have been reported. This study was thus aimed at determining the levels of some biochemical parameters in streptozotocin-induced diabetic albino rats pre-treated and post-treated with Vernonia amygdalina and Gongronema latifolium extracts. Fifty (50) albino rats weighing between 150 – 250 g were used for this study. 25 albino rats were used for each phase of the treatment. The pre-treatment phase involved the treatment of the rats with 400 mg/kg b.w (singly) and 200 mg/kg b.w (combined) extracts for 14 days, after which diabetes mellitus was induced using streptozotocin before the rats were sacrificed. The post-treatment phase involved the inducement of diabetes with streptozotocin after which the rats were treated with 400 mg/kg b.w (singly) and 200 mg/kg b.w (combined) extracts for 28 days before the animals were sacrificed. Blood was collected via cardiac puncture and plasma/serum was collected. Total cholesterol (TC), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), malondialdehyde (MDA), and total antioxidant capacity (TAC) were determined using standard procedures while glucose was measured with a glucometer. Cardiovascular risk ratios such as Castelli risk ratio I and II and atherogenic index of plasma were also calculated. Results showed that extracts of V. amygdalina (only), G. latifolium (only) and V.A+ GL (combined)significantly (p<0.05) reduced the TC, LDL-C , FBS, MDA and TAC levels while HDL-C level significantly (p<0.05) increased. The cardiac risk indices (CRI-I and CRI-II, and Atherogenic index of plasma (AIP) in both the pre-treated and post-treated rats were also reduced when compared to diabetic control. It is thus evident that these plants’ extracts possess hypoglycaemic, hypolipidaemic, and antioxidant properties and thus could be used to reduce cardiovascular risks. Therefore, the tradomedicinal use of these plants in the management of cardiovascular complications is highly recommended.

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