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Background and Objective: Free radical production andsubsqunt oxidative steress can be due to hyperglycemia and its oxidation. This study was done to evaluate the effect of swimming training test and Fenugreek seed extract on plasma glucose and antioxidant activity in heart tissue of streptozotocine – induced diabetic rats. Methods: In this experimental study, 50 male wistar rats were allocated into five groups diabetic (DC, n=10), healthy control (HC, n=10), swimming training (S, n=10), swimming training + Fenugreek seed extract (1.74 g/kg/bw) (SF1, n=10), and swimming training + Fenugreek seed extract (0.87 g/kg/bw) (SF2, n=10). Streptozotocine (60 mg/kg/bw) was used for induction of diabetes in DC, S, SF1 and SF2 groups. Serum glucose and the rat heart tissue antioxidant enzymes activities of superoxide dismutase, Catalase and Glutation peroxidase were determined. Results: Body weight in all groups were significantly reduced in comparsion with healthy control group (P<0.05). Plasma glucose level significantly reduced in SF1 and HC groups compared to diabetic group (P<0.05). Cardiac antioxidant enzymes in swimming training, SF1 and SF2 groups significantly increased in compare to diabetic group (P<0.05). Conclusion: The combination of endurance swimming training and fenugreek seed extract can reduce plasma glucose and increase cardiac antioxidant enzymes in streptozotocine – induced diabetic rats.

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Background and Objective: The blood–brain barrier (BBB) is considered to be the main barrier to drug transport into the central nervous system. In this study, the capability of biopartitioning micellar chromatography (BMC) using the mixed micellar system of Brij-35/sodium dodecyl sulfate (Brij-35/SDS, 85:15 mol/mol) has been studied to predict pharmacokinetic parameter (BBB penetration ability) of 14 basic drugs.

Methods: In this descriptive-analytical study, the potential of BMC using mixed micellar system (Brij-35/SDS, 85:15 mol/mol) in 0.04 M at physiological pH 7.4 was evaluated to predict pharmacokinetic parameter (BBB penetration ability) of 14 basic drugs. The regression model for the prediction of blood-brain distribution coefficient is derived from the multiple linear regression analysis using the training set in mixed micellar mobile phase. Also, the predictive ability of model was evaluated for a prediction set of 5 compounds (Chlorpromazine, Mianserin, Propranolol, Cimetidine, and Thioridazine). The fair R2 indicates good stability and predictive ability of the developed model for the drugs not included in modeling.

Results: The relationship between the BMC retention data of 14 basic drugs and their log BB parameter showed a good statistically model (R2=0.822, F=25.42, SE=0.225, R2CV=0.781).

Conclusion: This study points out the usefulness of mixed micellar solution of Brij-35/SDS, 85:15 (mol/mol) in BMC as a high-throughput primary screening tool that can provide key information about the blood-brain distribution of basic drugs in a simple and economical way.