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Assessment of Levels of Metabolic Hormones and Lipid Profile in Growth Hormone Deficient Patients
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Abstract

The current study aims to evaluate levels of metabolic hormones and lipid profile in a sample of growth hormone (GH) deficient patients. Seventy five GH deficient patients and twenty healthy subjects used as control group have been participated in this study during their attendance to the National Diabetic Center for Treatment and Research/Al-Mustansiriya University. The studied subjects’ ages were with a range (3-15 years). Blood samples were collected from the studied subjects to determine levels of basal GH, GH2 and GH3 after 1 hr and 1/30 hr provocation with clonidine, respectively; insulin like growth factor (IGF-1); levels of metabolic hormones [thyroid profile: triiodothyronine (T3), thyroxin (T4), and thyroid stimulating hormone (TSH)]; and lipid profile [cholesterol, triglyceride, high density lipoprotein (HDL), low density lipoprotein (LDL) and very low density lipoprotein (VLDL)].

The findings of the anthropometric measurements of the studied groups revealed that a non-significant (P>0.05) difference was found in the weight between the patients and the control, while the mean of height in the patients was significantly (P<0.05) lower than its value in the control. Mean of BMI detected a non-significant (P>0.05) difference between the patients and the control. While mean of BMI percentile and mean of BMI Z-score revealed significant (P<0.05) decrease in the patients compared to their values in the control.

The results showed that non-significant (P>0.05) difference was found in level of basal GH between the patients and the control, while a high significant (P<0.01) decrease was found in levels of GH2 and GH3 in the patients group compared to the control group. Level of IGF-1 showed a significant (P<0.05) decrease in the patients compared to the control.

The results of metabolic hormones revealed a non-significant (P>0.05) difference in serum T3 between the patients and the control, while a high significant (P<0.01) decrease was found in serum T4 in the patients compared to the control.  A non-significant (P>0.05) difference was found in serum TSH between the patients and the control. The data of serum cortisol showed a significant (P<0.05) increase in the patients compared to the control.

The results of lipid profile showed a non-significant (P>0.05) difference in serum cholesterol between the patients and the control, while triglyceride showed a significant (P<0.05) increase in the patients compared to the control. A non-significant (P>0.05) difference was found in serum HDL between the patients and the control, while a significant (P<0.05) increase was found in levels of LDL and VLDL in the patients compared to the control.

It can be concluded from the present study that diagnosis of GHD cannot be done at the basal serum of GH.  A high level of GH was detected after 1 hr. provocation with clonidine compared with its value after 1/30 hr. provocation. The IGF-1 is an appropriate parameter to expect GHD in children and adolescences whom GHD was detected by GH stimulation testing. Low GH secretion is associated with high level of cortisol resulting in GHD.  Patients with GHD displayed a tendency towards lipids disturbances.

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Publication Date
Tue Mar 04 2008
Journal Name
Journal Of Baghdad College Of Dentistry
Twelve months clinical comparison between modified Widman flap with or without enamel matrix derivative for the treatment of infrabony defects
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Publication Date
Mon Oct 01 2018
Journal Name
International Journal Of Biosciences
Detection of Escherichia coli O157 H7 isolated from infected dogs with urinary tract infections using real time - polymerase chain reaction
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Publication Date
Sun Jan 01 2023
Journal Name
Desalination And Water Treatment
Optimization of chemical oxygen demand removal from petroleum refinery wastewater by electrocoagulation using tubular electrochemical reactor with a novel design
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Publication Date
Fri May 19 2017
Journal Name
International Journal Of Environment, Agriculture And Biotechnology 2 (4 …‏
Effect of Knives Type on Some Operational Characteristics fora Locally Assembly Motorized Vibration Cutter Used for Date Palm Fronds Pruning‏
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Publication Date
Thu Oct 25 2018
Journal Name
Al-nahrain Journal Of Science
Synthesis of some New 3-Substituted Heterocyclic Compounds Containing Bridgehead Nitrogen from 2-Amino Pyridine with Study Their Biological Activity
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Publication Date
Mon Jun 01 2009
Journal Name
Al-khwarizmi Engineering Journal
Study the Effect Different Radioactive Dose on Mechanical Properties of Composite Material from Novolak Resin Exposure to High – Energy Radiation
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The research involves using phenol – formaldehyde (Novolak) resin as matrix for making composite material, while glass fiber type (E) was used as reinforcing materials. The specimen of the composite material is reinforced with (60%) ratio of glass fiber.

      The impregnation method is used in test sample preparation, using molding by pressure presses.

      All samples were exposure to (Co60) gamma rays of an average energy (2.5)Mev. The total doses were (208, 312 and 728) KGy.

      The mechanical tests (bending, bending strength, shear force, impact strength and surface indentation) were performed on un irradiated and irrad

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Publication Date
Fri Sep 30 2022
Journal Name
Journal Of Economics And Administrative Sciences
Choosing the best method for estimating the survival function of inverse Gompertz distribution by using Integral mean squares error (IMSE)
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In this research , we study the inverse Gompertz distribution (IG) and estimate the  survival function of the distribution , and the survival function was evaluated using three methods (the Maximum likelihood, least squares, and percentiles estimators) and choosing the best method estimation ,as it was found that the best method for estimating the survival function is the squares-least method because it has the lowest IMSE and for all sample sizes

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Publication Date
Fri Sep 30 2022
Journal Name
Journal Of Economics And Administrative Sciences
Choosing the best method for estimating the survival function of inverse Gompertz distribution by using Integral mean squares error (IMSE)
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In this research , we study the inverse Gompertz distribution (IG) and estimate the  survival function of the distribution , and the survival function was evaluated using three methods (the Maximum likelihood, least squares, and percentiles estimators) and choosing the best method estimation ,as it was found that the best method for estimating the survival function is the squares-least method because it has the lowest IMSE and for all sample sizes

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Publication Date
Sat Sep 30 2023
Journal Name
Iraqi Journal Of Science
An Integrated Information Gain with A Black Hole Algorithm for Feature Selection: A Case Study of E-mail Spam Filtering
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     The current issues in spam email detection systems are directly related to spam email classification's low accuracy and feature selection's high dimensionality. However, in machine learning (ML), feature selection (FS) as a global optimization strategy reduces data redundancy and produces a collection of precise and acceptable outcomes. A black hole algorithm-based FS algorithm is suggested in this paper for reducing the dimensionality of features and improving the accuracy of spam email classification. Each star's features are represented in binary form, with the features being transformed to binary using a sigmoid function. The proposed Binary Black Hole Algorithm (BBH) searches the feature space for the best feature subsets,

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Publication Date
Sat Apr 01 2017
Journal Name
Journal Of Economics And Administrative Sciences
Use aggregate slide estimate additive splines estimation for the diagnosis of non-linear composite model self-regression with practical application
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Nonlinear time series analysis is one of the most complex problems ; especially the nonlinear autoregressive with exogenous variable (NARX) .Then ; the problem of model identification and the correct orders determination considered the most important problem in the analysis of time series . In this paper , we proposed splines  estimation method for model identification , then we used three criterions for the correct orders determination. Where ; proposed method used to estimate the additive splines for model identification , And the rank determination depends on the additive property  to avoid the problem of curse dimensionally . The proposed method is one of the nonparametric methods , and the simulation results give a

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