Objectives:Major depressive disorder is diagnosed on the basis of patient’s self-reported experiences, behavior reported by relatives, and a mental status examination, and yet we do not have any reliable biomarker for this. Mood-regulating pathways are affected by oxidative injury to lipids and cortisol is released into the blood due to stimulation of corticotrophin receptors in the adrenal cortex. Here, we aimed to determine serum levels of malondialdehyde and cortisol in major depressive disorder patients and controls.Methods:We collected blood samples from 247 major depressive disorder patients and 248 controls. Serum levels of malondialdehyde and cortisol were measured by ultraviolet spectrophotometry and enzyme-linked immunosorbent assay kit, respectively.Results:We found malondialdehyde levels were significantly higher in patients than controls, with mean ± standard deviation at 4.49 ± 1.37 and 2.87 ± 0.82 µmol/L, respectively, p < 0.001. Cortisol levels were also found significantly higher in patients than controls, with mean ± SD at 19.22 ± 1.64 and 17.37 ± 1.34 µg/dL, respectively, p < 0.001. Significant negative correlation was observed between serum levels of malondialdehyde and cortisol in patients (r =−0.170, p = 0.021). Receiver operating characteristic analysis showed good diagnostic value for malondialdehyde and cortisol, with the area under the curve at 0.853 and 0.819, respectively.Conclusion:The present study suggests that increased serum levels of malondialdehyde and cortisol are strongly associated with major depressive disorder. We believe elevations of malondialdehyde and cortisol in serum level arise independently and they could serve as biomarkers for major depressive disorder.

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Abstract:Background: Drug taking behavior and drug dependence is a multi-factorial disorder. Personality is a very important determining factor of drug dependence. Objectives: To find out the possible relationship between personality traits and substance use disorders. Methods: This was a descriptive, cross-sectional and case-control study conducted in the department of Psychiatry of Bangabandhu Sheikh Mujib Medical University and Central Drug Addiction Treatment Center, Dhaka for a period of one year (January 2005 to December 2005). From five hundred respondents, 250 had the history of substance use disorders selected as case, and equal number were age, sex, habitat and economic background matched controls were taken. Personality traits of both cases and control were measured by applying Eysenck Personality Questionnaire. Results: Mean ± SD psychoticism (8.42±3 vs 4.33±1.8), Neuroticism (11.89±2.3 vs 9.83±2) were significantly higher (P<0.01) in cases than controls. It was found that psychoticism was 2.3 times and neurticism was 1.7 times higher in substance users than that of controls. There were no significant differences of mean distribution of extroversion and lie scales among the cases & controls. This study also revealed that, there was no significant relationship between personality traits and different variables related to substance use except that psychoticism was significantly higher in those substance users who had have positive history of troubles with law than those having no history of trouble with law (8.82±3.2 & 7.95±2.7 respectively). Conclusion: Personality traits may have an influence on persons with substance use disorder which detoriates quality of life.

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ABSTRACT:The aim of the study was to determine the concentration of serum Ca, Mg, Cu, Fe, Zn and Mn in Bangladeshi conversion disorder patients compared to control subjects and to correlate the changes, if any, with different socio-demographic factors and nutritional status. Forty five conversion disorder patients were randomly recruited. Forty five healthy control subjects were also recruited by matching the socio-demographic status to that of the patients. Blood samples were analyzed to determine the concentration of serum Ca, Mg, Cu, Fe, Zn and Mn using atomic absorption spectroscopy. Except for Mg, the concentrations of the other elements (Cu, Fe, Zn, Ca, and Mn) decreased in patients compared to control, but the changes were not statistically significant (p > 0.05). Serum Mg level increased insignificantly in patients (p > 0.05). No significant relationship was found between the sociodemographic variables and serum Ca, Mg, Cu, Zn and Mn levels, except for serum Fe, where a significant negative correlation was found between serum Fe level and BMI (r = -0.428; p = 0.023).