The co-occurrence of metabolic syndrome with type 2 diabetes mellitus (T2DM) will potentiate the morbidity and mortality that may be associated with each case. Fasting triglycerides-glucose index (TyG index) has been recommended as a useful marker to predict metabolic syndrome. Our study aimed to introduce gender-specific cut-off values of triglycerides- glucose index for diagnosing metabolic syndrome associated with type 2 diabetes mellitus. The data were collected from Baghdad hospitals between May - December 2019. The number of eligible participants was 424. National cholesterol education program, Adult Treatment Panel III criteria were used to define metabolic syndrome. Measurement of fasting blood glucose, lipid profile, HbA1c level, blood pressure, and anthropometric were done and the triglyceride-glucose index was calculated. Ethical approval and informed consent were obtained .SPSS was used to analyze the data. Diabetic patients with metabolic syndrome showed an increased level of TyG Index. The prevalence of metabolic syndrome increased with increased TyG index quartiles. The TyG-Index showed significant correlations with all components of metabolic syndrome. The optimal cut-off value revealed 9.14, 9.28 for males and females respectively. In conclusion, TyG index is a good predictor of the presence of MetS in T2DM the TyG index, just measured in one laboratory test, is simple, informative and more suitable for the detection of metabolic syndrome in Iraqi type 2 diabetes mellitus.
Diabetes mellitus is a metabolic disorder categorized hyperglycemia resulting from defects in insulin secretion, insulin action or both. Protein tyrosine kinase (PTK) is an enzyme that catalyzes the transfer of phosphate groups from ATP to the tyrosine residues of many important proteins resulting in proteins phosphorylation. The aim of current study was to evaluate serum levels of protein tyrosine kinase enzyme and thyroid hormone (T3, T4and TSH) and to find the correlation between them in type 2 diabetes mellitus and diabetic nephropathy Iraqi patients. Methods: This study was conducted at The National Diabetes Center, Al-Mustansiriya University, Baghdad, Iraq and included 150 patients divided into three groups the first group included 50
... Show MoreObjective(s): The study aims to assess the early detection of early detection of first degree relatives to type-II
diabetes mellitus throughout the diagnostic tests of Glycated Hemoglobin A1C. (HgbA1C), Oral Glucose Tolerance
Test (OGTT) and to find out the relationship between demographic data and early detection of first degree
relatives to type-II diabetes mellitus.
Methodology: A purposive "non-probability" sample of (200) subjects first degree relatives to type-II diabetes
mellitus was selected from National Center for Diabetes Mellitus/Al-Mustansria University and Specialist Center
for Diabetes Mellitus and Endocrine Diseases/Al-kindy. These related persons have presented the age of (40-70)
years old. A questio
Metabolic syndrome (MetS) is a combination of health disorders that mainly result from overweight and obesity. It increases the risk of developing cardiovascular disease and diabetes. (MetS) closely related to the existence weight gain or Obesity and laziness. It increases the serum levels of TNF-α and change the levels of a number of other parameters (e.g., adiponectin, resistin, and PAI-1). TNF-α dose not only appear to cause the production of inflammatory cytokines. It can trigger cell signaling by interacting with TNF-α receptors that can lead to insulin resistance. Usually, the digestive system molders the foods you eat and converts them to glucose. Insulin is an anabolic hormone produced by the pancreas that aids gluc
... Show MoreMetabolic syndrome (MetS) is a combination of health disorders that mainly result from overweight and obesity. It increases the risk of developing cardiovascular disease and diabetes. (MetS) closely related to the existence weight gain or Obesity and laziness. It increases the serum levels of TNF-α and change the levels of a number of other parameters (e.g., adiponectin, resistin, and PAI-1). TNF-α dose not only appear to cause the production of inflammatory cytokines. It can trigger cell signaling by interacting with TNF-α receptors that can lead to insulin resistance. Usually, the digestive system molders the foods you eat and converts them to glucose. Insulin is an anabolic hormone produced by the pancreas that aids glucose get in y
... Show MoreType 2 diabetes mellitus which abbreviate as T2DM is a complex endocrine and metabolic disorder arisingfrom genetic and environmental factors interaction which in turn induce various degrees of insulin functionalalteration on peripheral tissues. Globally, T2DM has develop into a public health problem. Therefore, Thestudy included (75) patients(37 female and 38 males) suffering from T2DM who visit al-kadhimiya teachinghospital with age range 20-80 years and (70) as healthy controls with age range 20-70 years. All studiedgroups were evaluated CMV IgG by ELISA,B. urea, S. Creatinine, cholesterol and triglyceride the resultsshowed that B.urea, S.creatinine and serum cholesterol showed a non-significant differences between studiedgroup,
... Show MoreThis study aims to derive a sustainable human development index for the Arab countries by using the principal components analysis, which can help in reducing the number of data in the case of multiple variables. This can be relied upon in the interpretation and tracking sustainable human development in the Arab countries in the view of the multiplicity of sustainable human development indicators and its huge data, beside the heterogeneity of countries in a range of characteristics associated with indicators of sustainable human development such as area, population, and economic activity. The study attempted to use the available data to the selected Arab countries for the recent years. This study concluded that a single inde
... Show MoreIn this paper we estimate the coefficients and scale parameter in linear regression model depending on the residuals are of type 1 of extreme value distribution for the largest values . This can be regard as an improvement for the studies with the smallest values . We study two estimation methods ( OLS & MLE ) where we resort to Newton – Raphson (NR) and Fisher Scoring methods to get MLE estimate because the difficulty of using the usual approach with MLE . The relative efficiency criterion is considered beside to the statistical inference procedures for the extreme value regression model of type 1 for largest values . Confidence interval , hypothesis testing for both scale parameter and regression coefficients
... Show More