Background: Direct measurement of intracellular magnesium using erythrocytes has been suggested as a sensitive indicator for the estimation of body magnesium store. Marked depletion in plasma and erythrocyte magnesium levels was particularly evident in diabetic patients with advanced retinopathy and poor diabetic control. While insulin has been shown to stimulate erythrocyte magnesium uptake, hyperglycemia per se suppressed intracellular magnesium in normal human red cells.
Aim of the study: To investigate the erythrocyte magnesium level in Iraqi type I and II diabetic patients, with specific emphasis on the effect of both, metabolic control and the type of antidiabetic treatments.
Methods: Sixty two diabetic patients (7 with type I and 55 with type II diabetes mellitus) recruited from the outpatient diabetes clinic at the Specialized Center For Endocrine Diseases-Baghdad, during the period from 1st October 2005 to 28th February 2006. Eighteen non-diabetic normomagnesemic healthy controls matched for age and sex were participated in this study. Of the diabetics, 22 were using insulin (7 with type I and 15 with type II diabetes mellitus), 40 were taking oral antidiabetic agents (All with type II diabetes mellitus) and none were using both. Serum and erythrocyte magnesium concentration were measured for both groups, and Glycated hemoglobin levels were estimated only for diabetics.
Results : Mean serum and erythrocyte magnesium levels were significantly (p<0.001) lower in the diabetic group as compared to controls. Serum level of magnesium was not a significant predictor of erythrocyte magnesium concentration. No significant correlation was observed between HbA1c and erythrocyte magnesium. Significantly (p<0.001) lower serum magnesium levels were consistently evident through the entire diabetic subgroups as compared to controls. Erythrocyte magnesium contents were significantly (p<0.001) reduced in patients with type I , type II and type II receiving oral antidiabetic agents, but not in patients with type II receiving insulin (p= 0.120 ), as compared to controls. Significant difference in erythrocyte magnesium levels was observed between patients with type II receiving oral antidiabetic agents and those receiving insulin (p<0.001). The frequency of magnesium deficiency in diabetic patients, as judged by a lower serum magnesium reference limit was constantly 100% in all subgroups. While, judgments based upon a lower erythrocyte magnesium reference limit, discloses variable frequencies in diabetic subgroups.
conclusion: The near normal erythrocyte magnesium levels in type II insulin-receiving patients, could be credited to the stimulatory action of exogenous insulin on cellular magnesium uptake and may indicate a possible role of insulin treatment as a potential implications on health policy, by ameliorating cellular magnesium depletion in the continuously expanding diabetic population.
This research has come out with that, function-based responsibility accounting system has harmful side – effects preventing it of achieving its controlling objective, that is, goal congruence, which are due to its un integrated measures, its focus on measuring measurable behaviors while neglecting behaviors that are hardly measured, and its dependence on standard operating procedures.
In addition, the system hypotheses and measures are designed to fit previous business environment, not the current environment.
The research has also concluded that the suggestive model, that is, activity-based responsibility accounting is designed to get ride of harmful side – effects of functi
... Show MoreMetasurface polarizers are essential optical components in modern integrated optics and play a vital role in many optical applications including Quantum Key Distribution systems in quantum cryptography. However, inverse design of metasurface polarizers with high efficiency depends on the proper prediction of structural dimensions based on required optical response. Deep learning neural networks can efficiently help in the inverse design process, minimizing both time and simulation resources requirements, while better results can be achieved compared to traditional optimization methods. Hereby, utilizing the COMSOL Multiphysics Surrogate model and deep neural networks to design a metasurface grating structure with high extinction rat
... Show MoreThe work includes synthesis and characterization of some new heterocyclic compounds, as flow: The compound (3) (5-(4-chlorophenyl) -2-hydrazinyl-1,3,4-oxadiazole was synthesized by using two methods; the first method includes the direct reaction between hydrazine hydrate 80% and 5-(4-chlorophenyl)-2- (ethylthio) 1,3,4-oxadiazole (1), the second method involves converting 5-(4-chlorophenyl)-1,3,4-oxadiazol-2-amine (2) to diazonium salt then reducing this salt to compound (3) by stannous chloride. Compound (3) was used as starting material for synthesizing several fused heterocyclic compounds. The compound 6-(4- chlorophenyl)[1,2.4] triazolo [3,4,b][1,3,4] oxadiazole-3-(2H) thione (compound 4) was synthesized from the reaction of compo
... Show MoreA simple and accurate method to determinate furosemide (FUR) based on converting the secondary amine to primary amine with acidic hydrolysis then azotization by nitrous acid and coupled with resorcinol as a coupling agent in aqueous medium at pH 13. The optical characteristic like beers law limit found to be (0.25-2.5) μg.ml−1, detection and quantification limits (0.0196) (0.0654) μg.ml−1respectivly and Sandel sensitivity was 0.006738 μg.cm−2. The least-square method was used to evaluate the regression equation and the correlation coefficient. The resulted azo dye has a maximum absorbance at 430 nm with light oran
This paper discussed the solution of an equivalent circuit of solar cell, where a single diode model is presented. The nonlinear equation of this model has suggested and analyzed an iterative algorithm, which work well for this equation with a suitable initial value for the iterative. The convergence of the proposed method is discussed. It is established that the algorithm has convergence of order six. The proposed algorithm is achieved with a various values of load resistance. Equation by means of equivalent circuit of a solar cell so all the determinations is achieved using Matlab in ambient temperature. The obtained results of this new method are given and the absolute errors is demonstrated.
Parasitic diseases can affect infection with COVID-19 obviously, as protective agents, or by reducing severity of this viral infection. This current review mentions the common symptoms between human parasites and symptoms of COVID-19, and explains the mechanism actions of parasites, which may prevent or reduce severity of this viral infection. Pre-existing parasitic infections provide prohibition against pathogenicity of COVID-19, by altering the balance of gut microbiota that can vary the immune response to this virus infection.