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.
Accurate calculation of transient overvoltages and dielectric stresses from fast-front excitations is required to obtain an optimal dielectric design of power components subjected to these conditions, which are commonly due to switching and lightning, as well as utilization of power-electronic devices. Toroidal transformers are generally used at the low voltage level. However, recent investigations and developments have explored their use at the medium voltage level. This paper analyzes the model-based improvement of the insulation design of medium voltage toroidal transformers. Lumped and distributed parameter models are used and compared to predict the transient response and dielectric stress along the transformer winding. The parameters
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The complete genome sequence of bacteriophage VPUSM 8 against O1 El Tor Inaba
In this paper, we present a comparison of double informative priors which are assumed for the parameter of inverted exponential distribution.To estimate the parameter of inverted exponential distribution by using Bayes estimation ,will be used two different kind of information in the Bayes estimation; two different priors have been selected for the parameter of inverted exponential distribution. Also assumed Chi-squared - Gamma distribution, Chi-squared - Erlang distribution, and- Gamma- Erlang distribution as double priors. The results are the derivations of these estimators under the squared error loss function with three different double priors.
Additionally Maximum likelihood estimation method
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The aim of this research is to identify the availability of visual thinking skills in the chemistry textbook scheduled for the third intermediate grade for the academic year (2020-2021) in the Republic of Iraq. The study sample consisted of all (85) images contained in the chemistry course for the third intermediate grade, which are (85) form using the curriculum. Analytical descriptive A list of visual thinking skills was prepared, and the unit of form was adopted as a unit of analysis and repetition as a unit of counting, and frequencies and percentages were used for statistical treatment, and validity and reliability were calculated. And using the Holste equation. The following results were reached: The skill
... Show MoreThe taxonomy of Ficus L., 1753 species is confusing because of the intense morphological variability and the ambiguity of the taxa. This study handled 36 macro-morphological characteristics to clarify the taxonomic identity of the taxa. The study revealed that Ficus is represented in the Egyptian gardens with forty-one taxa; 33 species, 4 subspecies and 4 varieties, and classified into five subgenera: Ficus Corner, 1960; Terega Raf., 1838; Sycomorus Raf., 1838; Synoecia (Miq.) Miq., 1867, and Spherosuke Raf.,1838; out of them seven were misidentified. Amongst, four new Ficus taxa were recently introduced to Egypt namely: F. lingua subsp. lingua Warb. ex De Wild. & T. Durand, 1901; F. pumila L., 1753; F. rumphii Blume, 1825, and F. su
... Show MoreRate of penetration plays a vital role in field development process because the drilling operation is expensive and include the cost of equipment and materials used during the penetration of rock and efforts of the crew in order to complete the well without major problems. It’s important to finish the well as soon as possible to reduce the expenditures. So, knowing the rate of penetration in the area that is going to be drilled will help in speculation of the cost and that will lead to optimize drilling outgoings. In this research, an intelligent model was built using artificial intelligence to achieve this goal. The model was built using adaptive neuro fuzzy inference system to predict the rate of penetration in
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