A Protective Effect of Commercial Green Tea on Ibuprofen Induced Changes in Renal Function Tests of Adult Rats

Background: Nephrotoxicity of ibuprofen is a growing international public health problem in the wake of excessive use of the drug for the treatment of a broad spectrum of diseases in both adults and pediatric patients. Objectives: To present an overview of the protective effect of the green tea on ibuprofen-induced changes in the biochemical markers of the adult rat kidneys. Methods: It is an experimental study conducted in the department of Anatomy, Army Medical College Rawalpindi. The investigation was led on 30 male and non-pregnant female Sprague Dawley rodents of 9-11 weeks old enough and going in weight from 200-330 gm. The animals were divided into three groups consisting of 10 animals each; group A served as control, each animal in group B was given ibuprofen at a dose of 120 mg/kg/day and each animal in group C was given both green tea at a dose of 1ml/100g/day and Ibuprofen 120mg/kg body weight for a period of 9 weeks. Ibuprofen manufactured by Abbot Laboratories (Pvt.) Limited was utilized. Green tea was obtained from local market. Data was collected at the end of experimental period and was analyzed using SPSS version 22. One Way ANOVA was exerted, afterwards by post-hoc Tukey test to find out intergroup differences for quantitative variables. The results were depicted as mean ± standard deviation (mean ± SD). A p value < 0.05 was believed significant. Results: Green tea administration had a significantly favorable effect on serum urea (mg/dl) (Group A=21.9 ± 2.8, Group B=93.2 ± 3.9, Group C=36.4± 3.0; p<0.001) and serum creatinine (mg/dl) (Group A=0.9 ± 0.22, Group B=2.4± 0.52, Group C=0.97 ± 0.3; p<0.001). Conclusions: Green tea had ameliorative effects on the ibuprofen-induced changes in the biochemical markers of the adult rat kidneys.

Mathematical Aspects of the Impact of Urban Greenhouse Gas Emissions on Global Warming

It is well known that the natural earth’s energy balance is influenced by human-induced changes of radiation balance, especially the concentrations of atmospheric greenhouse gases. Therefore, it needs for developing reliable models to gauge, analyse, and monitor the level of greenhouse gas emissions, especially for dense mega-city populations. Focusing on the Karachi Region as a case study, this thesis formulates an imputation scheme for missing data of greenhouse gases from traffic flow. This work also identifies useful parameters of distributions determined by local greenhouse data, performs EDA using classical and modern techniques for modeling the data, discusses the impact of greenhouse gases on local temperature fluctuation. To do bootstrapping of greenhouse data, a new kind of hybrid random number generator is proposed which gives satisfactory results for smaller number of bootstrap samples. Finally, it finds the interrelationship between local and global temperature fluctuations after doing analysis on the dynamics of local and global warming evolution processes.