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Background: Follicular lymphoma (FL) is a common form of non-Hodgkin lymphoma, characterized by abnormal B-cell growth within the germinal center. Research has shown the role of genes and molecular pathways in the pathogenesis of FL. However, the main factor of pathogenesis has not been determined. Therefore, in this study, the genes and molecular pathways related to the pathogenesis of FL were evaluated using a systems biology approach. Materials and Methods: In this study (bioinformatics analysis), the GSE32018 database was used for data analysis. This database was extracted from Gene Expression Omnibus (GEO). The sample of this database was 36, which included normal and FL samples. For this purpose, 23 cases were FL and 13 were healthy samples. Protein-protein interaction (PPI) is performed to show the interaction between DEGs. STRING software is used for this purpose. Associations between the hub genes, transcription factors, and microRNAs were assessed using the miRTarBase and TRRUST databases. The criteria used for data analysis included log fold change greater than one and p < 0.05. Results: After evaluating and analyzing the data, the results showed that 866 DEGs were identified between the control and FL samples. Of this population, 231 cases of UP regulation and 635 cases of downregulation were in FL samples compared to control samples. PPI network and hub gene analyses identified 7 hub genes, including RPL37A, MRPS7, RPS14, RPS28, RPL34, RPS20, and RPS3. According to the results, hsa-miR-191-5p has the highest interactions with hub genes among miRNAs, and KDM5A has the most interactions among TFs. Conclusion: Identifying genes and molecular pathways can be effective in designing therapeutic strategies and preventing the proliferation of FL cells, thereby increasing patients' survival. [ABSTRACT FROM AUTHOR]

Background & Objective: Bacteria play a major role in urinary tract infections (UTIs); therefore, it is necessary to be aware of their regional prevalence and the causative pathogens for better prognosis and rapid treatment in clinical settings. This study aims to evaluate the prevalence of bacterial isolates involved in UTI samples and their antibiotics resistance pattern. Materials & Methods: In this cross-sectional study, bacterial infections from 4214 urine samples were analyzed from December 2016 to December 2018. After biochemical tests, disk diffusion susceptibility procedures were performed on all positive clinical cultures, according to CLSI guidelines. The obtained data were sorted and statistically analyzed by SPSS 26. Results: Out of 3582 suspected UTIs samples, 2006 (56%) were females and 1576 (44%) males in the 0-99 years old age range and mainly consisting of middle-aged and elderly patients (62.2%). Escherichia coli (53.43%) and Staphylococcus epidermidis (15.99%) were the most frequent isolates. Among gram negative bacteria, nitrofurantoin and among gram- positive, vancomycin represented the lowest resistance rates at 25.27% and 26.74% respectively. Piperacillin showed the least efficacy with a resistance rate of 76.04%, followed by cefazolin with a 74.94% resistance rate. In gram positive bacteria, vancomycin and gentamicin showed more promise with respective resistance rates of 19.34% and 27.34%. The highest resistance was associated with ampicillin (68.61%) and Trimethoprim/Sulfamethoxazole (66.06%). Conclusion: Alarming resistance rates were observed in ampicillin and piperacillin, which should be taken into account in therapy guidelines in this area. Prevalence of resistant strains can be avoided by developing appropriate healthcare policies and community awareness. [ABSTRACT FROM AUTHOR]