Resistance rates to amikacin, ciprofloxacin, ceftazidime, cefepime, imipenem, cefoperazone/sulbactam and piperacillin/tazobactam in Escherichia coli (n= 438), Klebsiella pneumoniae (n= 444), Pseudomonas aeruginosa (n= 210) and Acinetobacter baumanni (n=200) were determined with e-test in a multicenter surveillance study (Hitit-2) in 2007. ESBL production in Escherichia coli and K. pneumoniae was investigated following the CLSI guidelines. Overall 42.0% of E.coli and 41.4% of K. pneumoniae were ESBL producers. In E. coli , resistance to imipenem was not observed, resistance to ciprofloxacin and amikacin was 58.0% and 5.5% respectively. In K. pneumoniae resistance to imipenem, ciprofloxacin and amikacin was 3.1%, 17.8% 12.4% respectively. In P. aeruginosa the lowest rate of resistance was observed with piperacillin/tazobactam (18.1%). A. baumanni isolates were highly resistant to all the antimicrobial agents, the lowest level of resistance was observed against cefoperazone/sulbactam (52.0%) followed by imipenem (55.5%). this study showed that resistance rates to antimicrobials are high in nosocomial isolates and show variations among the centers.
A genetically determined resistance or susceptibility to chronic hepatitis C virus (HCV) infection may make an important contribution to the course of liver disease and may be linked to the human major histocompatibility complex (MHC). The aim of this study was to investigate the HLA class II genotype profile in chronic hepatitis C and to determine the HLA-hepatitis C association. The experimental population was composed of 49 unrelated chronic HCV patients (31 females, 18 males; mean age, 54.4 ؎ 1.7 years; range, 34 to 73 years). The control population consisted of 43 ethnically matched healthy donors. HLA-DR and -DQ alleles were studied for patients and controls by a PCR-sequence-specific-primer low-resolution method. Anti-HCV was investigated with enzyme-linked immunosorbent assay II, and HCV RNA was investigated with reverse transcriptase nested PCR. The HLA class II allele, DRB1*11, was found at reduced frequency in 49 patients with chronic hepatitis C (anti-HCV and HCV RNA positive) compared to that for controls (22.4 versus 51.0%; P < 0.01, odds ratio ؍ 0.3, confidence interval ؍ 0.1 to 0.7). No further HLA associations with chronic HCV infection were observed, and there was no correlation between the stage of disease and HLA. DRB1*11 was also found at reduced frequency in all HCV antibody-positive patients compared to controls (corrected P ؍ not significant). DRB1*11 was associated with chronic HCV infection, and it is possible that HLA-DRB1*11 may have a protective feature in chronic HCV infection. In addition, DRB1*11 was associated with protection from HCV infection. These findings suggest that host HLA class II genotype is an important factor determining the outcome of infection with HCV.Hepatitis C virus (HCV) persists in the majority of infected individuals and is responsible for a wide spectrum of chronic liver lesions ranging from minimal inflammation to cirrhosis or hepatocellular carcinoma (8,18,19). The mechanisms whereby HCV establishes persistent infection and liver disease are still poorly understood. Both virus-related factors, such as viral heterogeneity and replicative activity (10,14), and the host's determinants, such as lack of efficient immune responses (13,15), are certainly involved in the pathogenesis of chronic hepatitis. Differences in the immunogenetic backgrounds of infected patients might in part account for the observed variation in the individual courses of disease. Indeed, polymorphisms of immune regulatory genes or HLA class I and II molecules are known to influence the host's ability to present or react to viral antigens (1, 7).Several studies have aimed to identify major histocompatibility complex class II alleles associated with different outcomes of HCV infection, but the results have not been consistent.In the present study, we have investigated the distribution of the HLA class II alleles in patients with chronic hepatitis C using the PCR-sequence-specific-primer low-resolution method. The aim of the present study was to investigate whether these alleles might...
The pathogenesis of Behçet's disease (BD) is not fully understood and immunological abnormalities and genetic factors have been investigated. Because serum concentrations of mainly T helper 1 (Th1) type cells have been reported to be increased in BD, we aimed to investigate whether certain cytokine polymorphisms might represent a risk factor for developing BD. We genotyped 80 patients with BD and 105 healthy controls for interleukin (IL)-1 alpha (T/C -889), IL-1 beta (C/T -511, T/C +3962), IL-1R (C/T pst11970), IL-1RA (T/C mspa111100), IL-2 (T/G -330), IL-12 (C/A -1188), interferon (IFN)-gamma (A/T UTR 5644), and TNF-alpha (G/A -238) polymorphisms. Analyses of cytokine polymorphisms were performed with PCR-SSP. The genotype and allele frequencies of the patients and controls were compared and the association between the polymorphisms of the cytokines with the clinical findings was investigated. Genotype distribution showed significant differences between the patients and the controls for the IL-1 alpha -889, IL-1 beta -511, IL-1 beta +3962, IL-1R, IL-12, IFN- gamma, and TNF-alpha cytokines. We didn't observe significant difference in genotypic frequencies of IL-1RA and IL-2 in our study. Comparison of the IL-1 alpha -889, IL 1 beta -511, and IL 1 beta +3962 genotype frequencies showed significant increase in CC genotype between the patients and the controls. The individuals with IL-1R TT polymorphism had a higher risk for BD compared to patients with CT/CC polymorphism. Comparison of IL-12, IFN- gamma, and TNF-alpha, genotype frequencies showed significant increase in CA, AA, and AA genotypes between the patients and controls, respectively. The frequencies of genotypes according to the clinical features of the patients with BD did not show a significant difference (p>0.05). Our study suggests that development of BD might be determined by various cytokine gene polymorphisms. However, further studies on larger numbers of cases are needed before definite conclusions can be drawn.
In this study, we have evaluated the broth microdilution method (BMM) 100, 100, 96.9, and 90.2%, while specificity was 100, 85.7, 90.9, and 100% for INH, RIF, STR, and ETM, respectively
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