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    Analysis of urine biomarkers for early determination of acute kidney injury in non-septic and non-asphyxiated critically ill preterm neonates
    (Taylor & Francis Ltd, 2017) Elmas, A. T.; Karadag, A.; Tabel, Y.; Ozdemir, R.; Otlu, G.
    Objective: We designed the present study to test the hypothesis that urinary biomarkers might predict acute kidney injury (AKI) development in non-septic and non-asphyxiated critically ill preterm infants. We evaluated urine (u) sistatin-C (uCys-C), kidney injury molecule-1 (uKIM-1) and neutrophil gelatinase associate lipocaline (uNGAL) as markers of AKI. Methods: Sixty-four preterm infants with gestational age between 28 and 32 weeks were included in this study. Biomarkers were measured on day of life (DOL) 1, 3, and 7. Results: uNGAL levels in the AKI group were significantly higher than in no-AKI group on DOL 1, 3 and 7 (p = 0.016, p = 0.007 and p = 0.0014, respectively). Conclusions: uNGAL is sensitive, early, and noninvasive AKI biomarkers, increasing significantly in non-septic and non-asphyxiated critically ill preterm neonates.
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    HLA-A, -B,-DRB1 Allele and Haplotype Frequencies and Comparison With Blood Group Antigens in Dialysis Patients in the East Anatolia Region of Turkey
    (Elsevier Science Inc, 2013) Kayhan, B.; Kurtoglu, E. L.; Taskapan, H.; Piskin, T.; Sahin, I.; Otlu, G.; Unal, B.
    Aim. The first aim of that study was to investigate HLA class I and class II allele and haplotype frequencies in renal dialysis patients who live in East Anatolia in Turkey. Our second aim was to investigate whether there was a relationship between ABO and D blood group antigens and HLA alleles and haplotypes for the study group. Materials and methods. HLA class I and II polymorphisms in 408 renal dialysis patients were studied using sequence-specific primers (SSP) and sequence-specific oligonucleotides (SSO). Blood group antigens were detected by agglutination methods on microplates. Results. A total of 16 HLA-A, 34 HLA-B, and 15 HLA-DRB1 alleles were identified. The most frequent HLA-A alleles were HLA-A*02, HLA-A*24, and HLA-A*11. The most frequent HLA-B alleles were HLA-B*35, HLA-B*51, and HLA-B*44. In case of HLA-DRB1; HLA-DRB1*11, HLA-DRB1*04, and HLA-DRB1*13 were first 3 alleles with higher frequency, in order. In the combination of those 3 alleles, the most frequent HLA-A-B-DRB1 haplotypes were HLA-A*02-B*51-DRB1*11, HLA-A*11-B*35-DRB1*11, A*24-B*35-DRB1*11. The frequency of ABO, D blood group antigens were observed as 0.168 for A Rh(+), 0.019 for A Rh(-), 0.057 for B Rh(+), 0.013 for B Rh(-), 0.123 for O Rh(+), 0.014 for O Rh(-), 0.018 for AB Rh(+), and 0.001 for AB Rh(-). While A Rh(+) samples with HLA-A*02 and HLA-DRB1*11 had the highest frequencies (0.067 and 0.088, respectively), O Rh(+) samples with HLA-B*51 had the highest frequency (0.06). Conclusion. According to haplotype frequencies HLA-A*02-B*51-DRB1*11 is also found at higher frequencies in Bulgarian and Armenian populations. In case of HLA-associated diseases, the east Anatolian population could be susceptible to myastenia gravis, Behcet's disease, and systemic sclerosis due to the high frequencies of HLA-A*24, HLA-B*51, and HLA-DRB1*11 respectively. We did not observe a correlation between blood group antigens and HLA alleles or haplotypes in renal dialysis patients.