Background: Inflammation is a key event closely associated with the pathophysiology of type 2 diabetes mellitus (T2DM). Association of genetic polymorphisms of inflammatory cytokines with T2DM is largely unknown. Our objective was to investigate the relationship of polymorphism of IL-1RN and IL-4, two important biomarkers of inflammation, with the risk of T2DM. Setting and Design: We recruited 120 clinically diagnosed T2DM patients and 150 normal healthy controls for this study in order to evaluate the nature of polymorphisms of IL-1RN and IL-4. Materials and Methods: Genomic DNA was isolated from the blood of all subjects, and the variable number of tandem repeat (VNTR) polymorphisms of IL-1RN and IL-4 genes was identified by polymerase chain reaction. Statistical Analysis Used: Genotype distribution and allelic frequencies were compared between patients and control group. Means, as well as odds ratios (ORs) with 95% confidence intervals (CI), were calculated using SPSS software (version 11.5). Results: Our study revealed that distribution of both IL-4 and IL-1RN (VNTR) gene polymorphisms were significantly associated with T2DM subjects. We, however, failed to find any association of gene-gene (IL-4 and IL-1RN) interaction with T2DM. Conclusions: Both IL-4 and IL-1RN (VNTR) gene polymorphisms were significantly associated with T2DM subjects. This may suggest that the genetic polymorphisms of IL-4 and IL-1RN genes could serve as susceptibility indicators for T2DM in the Indian population, but the actual mechanism of these associations will require more elaborate investigations. Lack of association of gene-gene (IL-4 and IL-1RN) interaction with T2DM may indicate the independent nature of influence of both these genes on the risk of T2DM.

[ABSTRACT]  [FULL TEXT]  [PDF] [CITATIONS]  [PubMed]

[FULL TEXT]  [PDF] [CITATIONS]  [PubMed]

[FULL TEXT]  [PDF] [CITATIONS]  [PubMed]

[FULL TEXT]  [PDF]  [PubMed]

Background: To quantify the internal consistency of medical students' scores. Aim: We assessed the associations between medical students' scores in physiopathology and clinical courses and compared these scores with their scores in their comprehensive exams. Settings and Design: We collected medical students' scores in their courses and also in their comprehensive exam in six consecutive years. Materials and Methods: We assessed the associations between students' scores and their personal characteristics, and the consistency between theoretical and practical courses. Statistical Analysis: We used Pearson correlation coefficient and linear regression. In addition, we computed difficulty and discrimination indices of students' scores in their courses by comparing these scores with comprehensive clinical exam (CCE). Results: Generally, females and younger students were more successful. CCE were predicted by students' scores and their characteristics relatively accurate (the adjusted R2 of the model was 0.59). Students' scores in the pathology and in thesis had the maximum and minimum discrimination indices, while the difficulties of these two courses were in reverse order. The strongest association was observed between theoretical and practical scores in internal medicine while the associations between theoretical and practical scores in the other courses were not strong although all of them were statistically significant. Conclusions: Using this approach to explore the students' score, might highlight the weak points of the current educational system. For example we found that the students' score in thesis had the minimum accuracy; although students obtained very high score in this course. Hence, for better comparison of the accuracy students' scores in colleges around the world, we recommend similar quantitative approach

[ABSTRACT]  [FULL TEXT]  [PDF]  [PubMed]

Background and Objectives: Mycobacterium tuberculosis is the leading cause of death from a single bacterial species in the world and is subjected to a highly oxidative environment in its host macrophage and consequently has evolved protective mechanisms against reactive oxygen and nitrogen intermediates. Alkyl hydroperoxidase D (AhpD) is a molecule from these mycobacterial defense systems that has a dual function. It not only works with Alkyl hydroperoxidase C (AhpC) in mycobacterial defense system against oxidative stress but also has a role in oxidation/reduction of succinyltransferase B (SucB), dihydrolipoamide dehydrogenase (LPD) and AhpC. The present study was undertaken to find out the effects of inactivation of ahpD gene in the intra-macrophage persistence of resulted BCG mutant. Materials and Methods: We did allelic exchange mutagenesis in Mycobacterium bovis BCG and evaluate the effects of this mutagenesis in intracellular persistence of wild type BCG strains and ahpD mutant ones by comparing colony forming units (CFU) in infected macrophage. Results: Our findings showed that after producing allelic exchange mutagenesis in ahpD gene of M.bovis BCG a sever decrease in the CFU's of ahpD mutant BCG strains has been observed and intracellular persistence of ahpD mutant BCG strains decreased significantly. Conclusion: Mutagenesis in ahpD gene will cause significant decrease in intracellular survival of ahpD mutant strains than wild type M.bovis BCG strains and could leads to an inefficiency in pyruvate dehydrogenase pathway and could also impair impairs mycobacterial defense system against oxidative and nitrosative stress.

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Background: An understanding of energy expenditure in hospitalized patients is necessary to determine optimal energy supply. The metabolic rate can be measured or estimated by equations, but estimation is by far the most common method. AIM: This study tests the degree of agreement between measured resting energy expenditure by indirect calorimetry and predicted resting energy expenditure by Harris Benedict and Mifflin-St Jeor equations. Patients were categorized according to sex and diagnosis. Settings and Design: Cross-sectional study. Materials and Methods: In 60 randomly selected patients, aged between 18 and 83 years, resting energy expenditure (REE) was measured by indirect calorimetry and compared with the predicted equations of Harris Benedict and Mifflin-St Jeor. Statistical Analysis: Statistical analysis was performed by using the method of Bland-Altman, one sample t-test and Pearson's correlation. Results: There was no statistically significant difference between measured and predicted resting energy expenditure by both equations, in all cases as a whole and each group. The only statistically significant difference was seen between measured resting energy expenditure and its predicted equivalent by Mifflin-St equation when patients were categorized according to their sex. Limits of agreements were wide for both equations in all cases and each category so clinical significance was considerable. Conclusions: At a group level Harris-Benedict equation is suitable for predicting REE but at an individual level, both equations have wide limits of agreement and clinically important differences in REE would be obtained.

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[FULL TEXT]  [PDF]  [PubMed]