MP074NEPHROPROTECTIVE EFFECT OF ADENOSINE IN STREPTOZOTOCIN INDUCED DIABETIC RATS
Bildiriler > Özet Bildiri
Yazarlar: Emin Taskiran, Oytun Erbas, Gurkan Yigitturk, Dilek TAŞKIRAN, Harun Akar
Nephrology Dialysis Transplantation, , , Uluslararası, Özet Bildiri, Wos, cilt 31, ss i367-i367
Özet
Introduction and Aims: Diabetic nephropathy is one of the most serious complications of diabetes and the major cause of end-stage renal failure. Consequences of diabetic nephropathy include increased kidney size and glomerular volume, thickening of basement membranes and progressive accumulation of extracellular matrix. Reports in the literature support an association between increased secretion of inflammatory molecules, such as cytokines, growth factors and metalloproteinases, and development of diabetic nephropathy. We aimed to investigate the potential of adenosine as a therapeutic candidate for preventing diabetic nephropathy. Methods: Twenty-one adult male rats were included in the study. Fourteen rats were administered a single dose of 60 mg/kg streptozotocin (STZ) to induce diabetes. After 48 hours, blood glucose levels were measured by glucose oxidase reagent strips. Seven rats served as normal control group. One of the rats was considered not to have diabetes and excluded from the study. Diabetic rats were randomly dived into two groups; one group was treated with 1 mL/kg saline (diabetes + saline), and the other group was treated with 5mg/kg/day adenosine (diabetes + adenosine). The injections were performed intramuscularly for 6 weeks. After 6 weeks, blood urea, creatinine and BUN levels were measured biochemically from plasma samples. Kidney injury molecule-1 (KIM-1) and tumor necrosis factor-alpha (TNF-alpha) measured using ELISA from plasma samples. Also, kidneys were removed for histopathological assessment. Glomerular sclerosis severity indexes were calculated from nephrectomy materials by using a scoring system. Non-parametric tests (Kruskal-Wallis and Mann Whitney U tests) were used for statistical analysis of data.