Effect of intravenous nitroglycerin therapy on erythrocyte antioxidant enzymes

Intravenous nitroglycerin (GTN) has been used as an anti-ischemic agent for the therapy of unstable and post-infarction angina. Nitric oxide (^?NO) and S-nitrosothiols constitute the biologically active species formed via nitroglycerin bioactivation. Increased levels of reactive oxygen species can diminish the therapeutic action of organic nitrates by scavenging donated ^?NO and oxidizing tissue thiols important in nitrate biotransformation. Studies reported here show that the red cell activity of antioxidant enzymes, catalase and glutathione peroxidase, are significantly decreased after intravenous nitroglycerin treatment. Catalase activity decreased to and after 1 and 24?hr GTN infusion, respectively. Similarly, glutathione peroxidase activity decreased to and after 1 and 24?hr GTN infusion, respectively. The reported decrease in antioxidant enzyme activities can lead to an oxidant milieu and contribute to the generation of nitrate tolerance.     

Determination of CGTase from Bacillus ohbensis and Its Optimum pH Using HPLC

Glucose is widely known to be required during superoxide generation in phagocytic cells. However, when an specific chemiluminescence probe with the Cypridina luciferin analog 2-methyl-6-(p-methoxyphenyl)-3, 7 -dihydroimidazo[ 1,2-a]pyrazin-3-one (MCLA) was used, about 60% of the chemiluminescence remained in stimulated macrophages in the presence of the glycolytic inhibitor 2-deoxyglucose. -nonspecific luminol-dependent chemiluminescence disappeared when the same drug was added. These results clearly demonstrate that the generation of by macrophages is not completely glucose-dependent, and strongly suggest that macrophages have both glucoseindependent NADPH-supplying pathway(s) and glucose dependent pathway(s) which generate reactive oxygen species other than .     

Conformation depends on 4D-QSAR analysis using EC–GA method: pharmacophore identification and bioactivity prediction of TIBOs as non-nucleoside reverse transcriptase inhibitors

The electron conformational and genetic algorithm methods (EC–GA) were integrated for the identification of the pharmacophore group and predicting the anti HIV-1 activity of tetrahydroimidazo[4,5,1-jk][1,4]benzodiazepinone (TIBO) derivatives. To reveal the pharmacophore group, each conformation of all compounds was arranged by electron conformational matrices of congruity. Multiple comparisons of these matrices, within given tolerances for high active and low active TIBO derivatives, allow the identification of the pharmacophore group that refers to the electron conformational submatrix of activity. The effects of conformations, internal and external validation were investigated by four different models based on an ensemble of conformers and a single conformer, both with and without a test set. Model 1 using an ensemble of conformers for the training (39 compounds) and test sets (13 compounds), obtained by the optimum seven parameters, gave satisfactory results ( = 0.878, = 0.910, q² = 0.840, = 0.926 and = 0.900).