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The Relationship between Interleukin-33(IL-33) and Oxidative Stress in Diabetic Patients with Cardiomyopathy
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   Interleukin -33 (IL)-33 is among IL-1 cytokine superfamily , which shows promise as a biomarker predictive of mortality in diabetic and several cardiovascular disorders in vivo study.The objective of this study  is to investigate the differences in the levels of IL-33 between healthy controls and patients with type 2 diabetes and diabetic cardiomyopathy and to investigate the correlation of IL-33 with HbA1C (biomarkers of type 2 diabetes), hs-CRP  and oxidant –antioxidant status.    One hundred and fifty individuals (age 40-55) were enrolled in this study which was divided into three groups as follows: G1:50 healthy control,G2: 50 subjects with type 2 diabetes mellitus,G3: 50 patients with diabetic cardiomyopathy. Fasting blood glucose (FBG) , glycated hemoglobin (HbA1C) ,high sensitive C-reactive protein(hs-CRP), malondialdehyde (MDA),uric acid ,total antioxidant capacity (TAC) and IL-33 were evaluated.     The results in this study revealed highly significant increasing in FBG, HbA1C , hs-CRP ,MDA, uric acid ,and MDA/TAC ratio. while a significant decrease in TAC and IL-33 were found in  patients group comparing to control group. Also a significant increase in CRP,MDA ,uric acid ,and MDA/TAC ratio were noticed for G3  compared to G2.A significant decrease in TAC and IL-33 were found  for G3  compared to G2.Furthermore,a significant  negative correlation between IL-33 and HbA1C, hs-CRP, and MDA/TAC ratio  were found between patients groups.    The conclusion could be drown from this study that the negative correlation of IL-33 levels with HbA1C ,hs-CRP and MDA/TAC levels in patients groups  most possibly reflects the inflammatory component of diabetes and oxidant –antioxidant status

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Publication Date
Wed Apr 25 2018
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Different Estimation Methods for System Reliability Multi-Components model: Exponentiated Weibull Distribution
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        In this paper, estimation of system reliability of the multi-components in stress-strength model R(s,k) is considered, when the stress and strength are independent random variables and follows the Exponentiated Weibull Distribution (EWD) with known first shape parameter θ and, the second shape parameter α is unknown using different estimation methods. Comparisons among the proposed estimators through  Monte Carlo simulation technique were made depend on mean squared error (MSE)  criteria

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