Browsing by Author "Arsić, Biljana (56770988300)"

The aim of this study was to explore the antimicrobial activity of human follicular fluid (HFF), to test the hypothesis that different strains of the same bacterial species could display different patterns of susceptibility to antimicrobial action of HFF, and to preliminarily investigate the possible mechanism of antimicrobial action of this fluid. Antimicrobial activity of 60 samples of HFF toward 30 Streptococcus agalactiae strains was determined by the agar diffusion method and broth dilution method. To explore the mechanism of antimicrobial activity, biochemical analyses were performed with selected fluid samples. The obtained results indicate that 38.3% fluid samples did not inhibit bacterial growth, 53.3% showed moderate and 8.3% high antimicrobial activity. The tested effect of HFF on S. agalactiae strains was bactericidal and was not strain dependent. Lysozyme activity was detected in HFF exhibiting antimicrobial activity. There were no statistically significant differences in concentrations of estradiol, progesterone, transferrin, iron, total protein and albumin levels among tested samples regardless of the different rate of antimicrobial activity. The obtained results indicate that lysozyme is most probably a crucial antibacterial agent in this fluid; however, some other still unidentified factors may contribute to it. Copyright © 2003 S. Karger AG, Basel.

Bacterial vaginosis is a common, complex clinical syndrome characterized by alterations in the normal vaginal flora. When symptomatic, it is associated with a malodorous vaginal discharge and on occasion vaginal burning or itching. Under normal conditions, lactobacilli constitute 95% of the bacteria in the vagina. Bacterial vaginosis is associated with severe reduction or absence of the normal H2O2-producing lactobacilli and overgrowth of anaerobic bacteria and Gardnerella vaginalis, Atopobium vaginae, Mycoplasma hominis and Mobiluncus species. Most types of infectious disease are diagnosed by culture, by isolating an antigen or RNA/DNA from the microbe, or by serodiagnosis to determine the presence of antibodies to the microbe. Therefore, demonstration of the presence of an infectious agent is often a necessary criterion for the diagnosis of the disease. This is not the case for bacterial vaginosis, since the ultimate cause of the disease is not yet known. There are a variety of methods for the diagnosis of bacterial vaginosis but no method can at present be regarded as the best. Diagnosing bacterial vaginosis has long been based on the clinical criteria of Amsel, whereby three of four defined criteria must be satisfied. Nugent's scoring system has been further developed and includes validation of the categories of observable bacteria structures. Up-to-date molecular tests are introduced, and better understanding of vaginal microbiome, a clear definition for bacterial vaginosis, and short-term and long-term fluctuations in vaginal microflora will help to better define molecular tests within the broader clinical context.

Background: Endometriosis is a complex disease that can result in substantial morbidity, including chronic pain, dysmenorrhea and dyspareunia. There are contradictory reports regarding the connection between acute and chronic stress and magnesium levels in body fluids. Subjects and methods: A prospective study included 87 patients undergoing laparoscopy. The study group included 40 women with endometriosis and the control group consisted of 47 women with other causes of infertility. The levels of fright were determined using HAMA scale. The measurements of Mg levels were performed using biochemical analyzer "Monarch Plus". Results: One day before the operation, HAMA score was 9.54 ±7.34 in the women with endometriosis, and 6.69 ± 5.51 in the women without endometriosis. The morning before the operation, HAMA score was 8.64 ± 8.10 in the women with endometriosis, and 4.29±2.29 in the women without endometriosis. The second postoperative day, HAMA score was 8.96±7.60 in the women with endometriosis and 6.92±5.16 in the women without endometriosis. Higher HAMA score in the women with endometriosis, in comparison with the control group, in all three time periods has been found, but the differences were not statistically significant (p>0.05). A negative correlation between the concentration of Mg in peritoneal fluid and HAMA score was found in the control group (p<0.01). Conclusions. In infertile women without endometriosis a correlation between Mg concentration in peritoneal fluid and HAMA score was found. No such correlation was found in the women with endometriosis, possibly due to a systemic disorder in endometriosis that might affect Mg transport through the cell membrane. © Medicinska naklada.

Objective: To evaluate diagnostic accuracy and efficiency of ultrasound markers of gestational diabetes (GDM) and propose an ultrasound based scoring system suitable for screening (UGDS). Methods: 110 women with singleton pregnancies and established maternal and/or pregnancy related risk factors for GDM were scanned at/or after 24 weeks gestation followed by administration of a 3 hour 100-gram oral glucose tolerance test (oGTT). A number of ultrasound markers were determined/measured, including fetal adipose subcutaneous tissue, asymmetrical macrosomy, cardiac circumference, cardiac width, and interventricular septum thickness, immature appearance of placenta, intensified breathing movements, polyhydramnios and placental thickness. Each ultrasound GDM marker was assigned one point to create the ultrasound gestational diabetes screening score (UGDS). Results: All ultrasound GDM markers were positively correlated to the disease P < 0.0001. The strongest independent predictor of GDM was an immature appearance of placenta (RR 40.1 95% CI 5.9-271.0, P < 0.0001). Receiver operator characteristics (ROC) showed an area under the curve of 95.7% confirming good ability of UGDS to discriminate between positive and negative oGTT. We propose a UGDS score of 4 providing sensitivity of 90.9%, and specificity 89.6%. Conclusions: This study suggests that UGDS is a good predictor of GDM. © 2012 Informa UK, Ltd.