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Exploitation of Absolute qPCR to Estimate Lactobacillus and Bifidobacterium Count in Human Gut as Indicator of Diabetic Mellitus Complication
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     Diabetes mellitus is a form of metabolic disorder where patients are incapable to organize glucose metabolism. The most common types are Type I and Type II, constituting about 10% and 90% of cases, respectively. The cause of type I diabetes, which usually spreads in children and adolescents, is the disability of the endocrine system to produce insulin. On the other hand, The most common type of diabetes,  type II diabetes, is often presented in adults. It is usually presented as a collection of insulin deficiency and insulin resistance. This work was done to estimate the count of microbiota in diabetics to find an appraoch for detection and follow-up treatment. The count of two types of bacteria Lactobacillus and Bifidobacterium was determined using qPCR based on the standard curve that was created from the serial decimal dilution of samples containing an unknown number of bacteria taken from probiotic capsules. The main results of this study show that the Lactobacillus count was affected by diabetes types, where a decrease was observed in the mean value in the case of diabetes type I group (32978.13) compared with the control group (610680.26). The mean value in diabetes type II was close to that of the control group (682199.27). While, the count of the Bifidobacterium showed a significant reduction in the mean value in both type I and type II diabetes groups (7521.70, 51880.82, respectively), compared with the control group (63405999.00).

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Publication Date
Sun Jan 02 2011
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Association of Erythropoietin, Adiponectin and Leptin levels with Anemia in uremic diabetic patients (Under hemodialysis):
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Background: End stage renal disease in patients with diabetes mellitus has been called a medical catastrophe of worldwide dimensions .It was recognized that anemia is a complication of diabetes, particularly in patients with diabetic kidney diseases. The purpose of the present study is to determine whether erythropoietin, adiponectin, and leptin levels correlate with anemia in uremic diabetic patients (under hemodialysis).
Patients and Methods: The studied groups were comprised of (30) diabetic patients(9 patients with type1 and 21 type2 diabetes) with renal failure (group2) who had been under hemodialysis compared with (30) healthy controls (group1). Blood film was obtained in addition to blood tests inc

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Publication Date
Sun Jul 31 2022
Journal Name
Iraqi Journal Of Science
The Key Role of Bone Function Markers in Patients with Type (II) Diabetes Mellitus
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      Complications associated with diabetes are a consequence of acute disturbance in glucose metabolism in a human body. The most significant complication of diabetes is bone disorders which contributes to high levels of bone disability. This study included 118 diabetic patients, 56 males, 62 females, and 60 healthy non-diabetic controls, 30 males, 30 females. The patients and controls were age matched. Circulating levels of bone function markers (osteoprotegerin, vitamin D, PTH, total calcium and inorganic phosphorus) were determined in all subject groups. The data obtained from this study showed that the serum levels of osteoprotegerin had significantly increased in both diabetic male & female in both age ranges which were 4

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Publication Date
Sat Dec 02 2023
Journal Name
Journal Of Engineering
Deep Learning of Diabetic Retinopathy Classification in Fundus Images
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Diabetic retinopathy is an eye disease in diabetic patients due to damage to the small blood vessels in the retina due to high and low blood sugar levels. Accurate detection and classification of Diabetic Retinopathy is an important task in computer-aided diagnosis, especially when planning for diabetic retinopathy surgery. Therefore, this study aims to design an automated model based on deep learning, which helps ophthalmologists detect and classify diabetic retinopathy severity through fundus images. In this work, a deep convolutional neural network (CNN) with transfer learning and fine tunes has been proposed by using pre-trained networks known as Residual Network-50 (ResNet-50). The overall framework of the proposed

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Publication Date
Sun Jan 30 2022
Journal Name
Iraqi Journal Of Science
Association of Helicobacter pylori Infection with Type 2 Diabetic Patients in Dohuk Governorate, Iraq
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     Helicobacter pylori (H. pylori) is one of the most common human pathogens in the world. Several studies that have investigated the correlation between H. pylori infection and type 2 diabetes mellitus (DM) found that H. pylori infection is more frequent in the patients, while the results of other studies were unclear. This paper aims to investigate the interrelation between the infection with H. pylori and type 2 DM in Dohuk governorate, Iraq. Eighty four diabetes patients (41 males, 43 females) and 92 healthy controls were involved in this study. H. pylori status was assessed in serum samples by using ELISA test.  Out of the 84 patients,

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Publication Date
Thu Jul 01 2021
Journal Name
Review Of International Geographical Education (rigeo)
Walkability as one of the Planning Treatments to Face Epidemics in Cities
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Walkability as one of the Planning Treatments to Face Epidemics in Cities

Publication Date
Wed Feb 22 2012
Journal Name
مجلة تكريت للعلوم الصرفة
Study the activity of ALT and AST in serum of diabetic patients type II
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Publication Date
Mon Nov 19 2018
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Estimation of pentraxin-3(PTX3)in Rheumatoid arthritis males patients with (with and without) type II diabetes mellitus in Iraq
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Rheumatoid arthritis is a chronic inflammatory autoimmune disease its etiology is  unknown . The classical autoimmune diseases, have adaptive immune genetic associations with autoantibodies and major histocompatibility complex(MHC) class II such as rheumatoid arthritis (RA), diabetes mellitus type two (DM II). Serum of99 males suffering from RA without DMII as group (G1), 45 males suffering from RA with DM II as group (G2) and 40 healthy males as group (G3) were enrolled in this study to estimation of alkaline phosphates (ALP),C-reactive protein(CRP) and Pentraxin-3(PTX). Results showed a highly significant increase in PTX3 levels in G1 and G2 compared to G3 and a significant decrease in G1comparing to G2. Results also revealed a si

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Publication Date
Sun Apr 01 2007
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Predictive values of risk factors in management of diabetic foot
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Background: Outcome of management of patients with diabetic foot is difficult to predict. Assessment of variables in history , examination and investigations were analyzed with outcome of management and whether can be assigned as prognostic factors .
Methods: prospective study of 300 patients with diabetic foot in Baghdad teaching hospital during the period from April 2000 to March 2004,certain criteria was taken in history and examination, these were investigated and treated either by conservative procedure or amputation.
Results: most common age group was 50-59 years ( 33.3%). The male to female ratio was 2:1. Conservative debridement was performed in ( 60%) of patients while amputation was employed in&nb

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Publication Date
Mon Jul 04 2022
Journal Name
Indian Journal Of Forensic Medicine & Toxicology
The Correlation between Insulin Resistance and Urotensin II in Patients with Gestational Diabetes Mellitus
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Gestational diabetes mellitus is glucose intolerance of varying degree with onset or first detection duringpregnancy,it can causelong and short term morbidities in both the mother and the child, such as shoulder dystocia,preeclampsia, and high blood pressure. The most powerful endogenous vasoconstrictor peptide, urotensin II, andits receptor are involved in the etiology of gestational diabetes mellitus.Aim of the study: The study’s goal was to see if there is a link between Urotensin II levels and insulin resistancein pregnant women with gestational diabetes.Patients and method: A case-control study that was conducted in obstetrics and gynecology department atBaghdad Teaching hospital from the first of January 2019 to the end of D

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Publication Date
Wed Dec 01 2010
Journal Name
Al-khwarizmi Engineering Journal
Finite Element Based Solution of Laplace's Equation Applied to Electrical Activity of the Human Body
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Computer models are used in the study of electrocardiography to provide insight into physiological phenomena that are difficult to measure in the lab or in a clinical environment.

The electrocardiogram is an important tool for the clinician in that it changes characteristically in a number of pathological conditions. Many illnesses can be detected by this measurement. By simulating the electrical activity of the heart one obtains a quantitative relationship between the electrocardiogram and different anomalies.

Because of the inhomogeneous fibrous structure of the heart and the irregular geometries of the body, finite element method is used for studying the electrical properties of the heart.

This work describes t

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