Introduction: Urinary tract infections (UTI) are at the second place in the frequency of all causes of infection after respiratory ones. The UTI requires appropriate antibiotic treatment. 85% of UTI predictive antibiotic treatment without confirmation by bacteriological analysis. This is one of the major causes of drug resistance, especially in K.coli. Urine bacteriological tests do not show bacterial culture in all cases where the number of bacteria in the urine exceeds the reference level. Therefore, there was a need to establish criteria for urine bacteriology test based on the results of urine sediment analysis.
In 20I7, a new fully automated Sysmex UF-5000 urine sediment analyzer was installed in the laboratory department of Medipas Hospital. The features of this analyzer include counting the number of bacteria in the urine, distinguishing between gram-positive and negative, homogeneous and mixed forms, and counting the formed elements in the urine. This feature made it possible to compare the number of bacteria and leukocytes in the urine with the results of urine bacteriology tests. Goal: Determine the relationship between the number of white blood cells and bacteria in the urine measured by the Sysmex UF-5000 urine sediment analyzer and the results of the urinary bacteriological test. Objectives: Compare the number of urine bacteriaand leukocyte measured by using the Sysmex UF-5000 urine sediment analyzer with the urine bacterial culture, and calculate the correlation. Materials and methods: The study is analytic cross-sectional study, analyzed the results of a total of 159 people who analyzed a urinalysis and urine bacteriological test at the Medipas Hospital Laboratory in 2017-2019 years.Urine samples were collected in a 100 ml, disposable sterile container in accordance with the instructions for taking urine midstream.Urine analysis was performed within 2 hours of sampling with a fully automatic urine sediment analyzer Sysmex UF-5000 Japan. Urine bacteriological analysis was performed on a lul sterile loop of urine specimens, inoculated into 5% blood agar from Hungary's BioLab, Sabouraud agar, and Chromogen agar from Biomerieux France, and incubated for 24 hours in an incubator at 37°C. Bacterial identification and antibiotic susceptibility tests were analyzed using the "Vitek-2" analyzer from the manufacturer Biomerieux France. Bacterial and leukocyte counts data measured by the Sysmex UF-5000 analyzer and urinary bacteriological analysis data were performed using SPSS23 software. Results: A total of 159 urine samples were tested for bacteriological analysis, of which 81 (50.9%) were bacteria over 105 CFU/ml or urine positive culture UTIs, 78 (49.1%) were nonsignificant bactcruria and urine negative culture.The average number of bacteria measured in the urine of 81 samples with urine positive culture above 105 CFU/ ml was 46491/ul (1168-100000 BACT/ul).
The average number of bacteria measured by the urine sediment analyzer of 78 samples with urine negative culture was 2645 BACT/ ul (2-57280 BACT/ul). To calculate more accurately estimate the average number of bacteria in 81 urine specimens with positive culture, the average number of bacteria in 17 (21%) samples was 4753 BACT/ul, measured in relatively low bacteria numbers of 1168-9450BACT/ul. The average leukocyte number in the urine of 81 samples with positive culture was 472.2 WBC/ul, and the average leukocyte number in the urine of 78 samples with negative culture was 87.7 WBC/ul.There is a strong correlation between the number of bacteria measured by the urine sediment analyzer and urine bacterial positive culture, which is 0.8 or statistically significant (p<0.001).The correlation coefficient of the number leukocytes measured by the urine sediment analyzer with in the urine positive cultureof bacteriological tests was 0.6 or moderately of statistically significant (p=0.005).There is a statistically significant relationship (p=0.001) between the number of bacteria in the bacterial positive culture population and the number of leukocytes. Discussion: Of the 81 cases of urine bacterial positive culture, 78 (96%) were female, indicating a high prevalence of UTI among women. According to the results of the Fabio Manon's study, the number of leukocytes in the urine is 160-340 WBC/uL and the number of bacteria is 15000-30000 BACT/u,L in the case of UTI, which is approximate results compared to the our study results.Based on the results of the urine sediment analysis, indications for a urine bacteriological test should be made.
Based on the results of urinary bacteriological tests, the choice of antibiotic treatment is the best treatment for urinary tract infections and a way to prevent of antibiotic resistance to UTI. Conclusions The number of bacteria measured by a Sysmex UF-5000 urine sediment analyzer is directly related to the bacterial culture urine bacteriological test. If the number of bacteria in the urine is measured above 4753 BACT/ul, it can be considered as an indication for urine bacteriological analysis. Although the number of leukocytes in the urine measured by the Sysmex UF-5000 urine analyzer is moderately correlated with bacterial culture in urine bactcriologucal tests, it is a key indicator of the degree of inflammation of the urinary tract.

Introduction: When human body encounters external pathogens primary/innate immunity cells are activated by recognizing them and secondary/adaptive immunity is activated consecutively. Immune cell surface receptors, called Toll-like receptors (TLRs) recognize and bind pathogens. In our previous study, we revealed that there is a synergistic action between TLR9 and IFN-γ signaling in the endothelial cells. Purpose: To determine the role of negative and positive regulatory proteins on the IFN-γ/TLR9 synergistic signaling pathway Materials and Methods: This study was held in the Core Laboratory, Science Technology Center, Mongolian National University of Medical Sciences (MNUMS). In this study, murine endothelial cell (END-D) culture was used. The negative and positive regulator protein expression was detected by Western blotting. Result: Result of immunoblotting assay indicated that CpG DNA enhanced IFN-γ positive regulator protein p38 phosphorylation in the endothelial cells. Treatment by TLR9 ligand CpG DNA and IFN-γ increased p38 activation in 0.5 hour and 1 hour. CpG DNA inhibited IFN-γ negative regulator SOCS1 protein expression in 4 hr and 8 hr. Therefore, TLR9 ligand CpG DNA increased IFN-γ signal transduction in the endothelial cell line. Conclusion TLR9 ligand CpG DNA has decreased IFN-γ negative regulator protein SOCS1 expression. CpG DNA has increased IFN-γ positive regulator protein p38 phosphorylation.