Background: Adenosine mediates homodynamic
changes and resulted in the production of acute renal
failure (ARF) in female Albino-Wister rats, therefore,
adenosine level increases highly in ARF.
Objective: This experiment was designed to
investigate the effect of the adenosine antagonist
aminophylline and the adenosine agonist indomethacin on glycerol-induced ARF.
Method: Glycerol induced ARF was produced by a
single dose (10ml/kg, 50%v/v with distilled water i.m)
in rats, which were restricted to drinking water.
Aminophylline was used in our study in a dose of
25mg/kg, i.p) while the dose of indomethacin was
10mg/kg, i.p), assessment of renal function was done
by measuring blood urea
nitrogen (BUN), serum creatinine (Scr), and creatinine
clearance (Ccr)
Results: Aminophylline exert its protective effect
against glycerol induced-ARF by lowering the
elevation in concentrations of BUN, Scr, and mortality
rate with a markedly attenuation of the sever
impairment Ccr. On the other hand, indomethacin
potentiates glycerol induced-ARF by significantly
increase the elevation in concentrations of BUN, Scr
and mortality rate with severely suppressed the
decrement in Ccr.
Conclusion: Aminophylline has ameliorating effect on
glycerol induced ARF while the prostaglandin inhibitor
indomethacin has reversed effect
The Influences of Aminophylline and Indomethacin in Glycerol-Induced Acute Renal Failure in Rats
ARF
glycerol
adenosine
aminophylline and indomethacin
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
Exponentiated Weibull Distribution (EWD)
Reliability of multi-component Stress – Strength models R(s
k)
Maximum likelihood estimator (MLE)
Moment estimator (MOM)
shrinkage method (Sh)
Least Squares Estimator (LS)
Rank Set Sampling (RSS). and mean squared error (MSE).
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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