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Cytokine profile in COVID-19 infection: focus on interleukin-13, interleukin-33, and tumor necrosis factor-α as immunological markers
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COVID-19 is a pandemic disease that has a wide spectrum of symptoms from asymptomatic to severe fatal cases due to hyperactivation of the immune system and secretion of pro-inflammatory cytokines. This study aimed to assess the level and impact of interleukin (IL)-13, IL-33, and tumor necrosis factor (TNF)-α cytokines on immune responses in mild and moderate COVID-19-infected Iraqi patients. A prospective case-control study was conducted from January 2023 to January 2024; it included 80 patients infected with moderate COVID-19 infection who consulted in different private clinics and 40 healthy controls. The serum of both groups was tested for quantification of serum IL-13, IL-33, and TNF-α using the human enzyme-linked immunosorbent assay method. The mean age of the moderate COVID-19 patient group was 43.67±1.85 years, while the mean age of the healthy control group was 34.45±3.12 years with a statistically significant (p=0.0081), but there was no statistically significant difference in IL-13, IL-33, and TNF-α levels between the patients and control groups. This study highlights the importance of age, gender, and body mass index as risk factors associated with COVID-19 infection. There were no significant differences in IL-13, IL-33, and TNF-α levels between moderate COVID-19 patients and healthy controls. The receiver operating characteristic curve analysis of IL-13, IL-33, and TNF-α shows moderate potential (non-significant) as a biomarker for predicting mild and moderate COVID-19. Pearson correlation analysis showed a strong potential correlation between IL-13, IL-33, and TNF-α.

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Publication Date
Thu Jun 09 2022
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
Safety Profile of Biological Drugs in Clinical Practice: A Retrospective Pharmacovigilance Study
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Biological drugs have an active substance that is made by a living organism or derived from a living organism. They are one of the important therapy options used in a wide range of diseases especially life-threatening diseases. Biological therapy opens new opportunities for treating different diseases for which drug therapy is minimal, but they have considerable differences in the safety consequences in comparison with non-biological drugs. The aim of the current study was to assess the post-marketing safety profile of biological drugs used in Iraqi hospitals by the analysis of the reported adverse drug reactions regarding their severity, seriousness, preventability, expectedness, and outcome. It is a retrospective study of the individu

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Publication Date
Wed Jun 11 2003
Journal Name
Iraqi Journal Of Laser
Modeling of Plasma Affected Thermal Profile in Solids During Laser Materials Processing
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A new scheme of plasma-mediated thermal coupling has been implemented which yields the temporal distributions of the thermal flux which reaches the metal surface, from which the spatial and temporal temperature profiles can be calculated. The model has shown that the temperature of evaporating surface is determined by the balance between the absorbed power and the rate of energy loss due to evaporation. When the laser power intensity range is 107 to108 W/cm2 the temperature of vapor could increase beyond the critical temperature of plasma ignition, i.e. plasma will be ignited above the metal surface. The plasma density has been analyzed at different values of vapor temperature and pressure using Boltzmann’s code for calculation of elec

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Publication Date
Thu Sep 15 2022
Journal Name
Bionatura
Assessment of lipid profile with HbA1c in type 2 diabetic Iraqi patients
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Insulin-induced hyperglycemia is the hallmark of diabetes mellitus (DM), including various metabolic disorders. Diabetic people are more likely to develop dyslipidemia, hypertension, and obesity. Type 2 diabetes ‎(T2DM), the most common illness, is generally asymptomatic in its early stages and can go misdiagnosed for years. Diabetes screening may be beneficial in some cases since early identification and treatment can lessen the burden of diabetes and its consequences.‎ This study aimed to find the relationship between Glycated hemoglobin (HbA1c) ‎and lipid profile components in T2DM‎ patients. This descriptive-analytical and cross-sectional study was performed on the control group and T2DM patients in ‎Medical City in Baghdad be

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Publication Date
Thu Sep 15 2022
Journal Name
Bionatura
Assessment of lipid profile with HbA1c in type 2 diabetic Iraqi patients
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Insulin-induced hyperglycemia is the hallmark of diabetes mellitus (DM), including various metabolic disorders. Diabetic people are more likely to develop dyslipidemia, hypertension, and obesity. Type 2 diabetes ‎(T2DM), the most common illness, is generally asymptomatic in its early stages and can go misdiagnosed for years. Diabetes screening may be beneficial in some cases since early identification and treatment can lessen the burden of diabetes and its consequences.‎ This study aimed to find the relationship between Glycated hemoglobin (HbA1c) ‎and lipid profile components in T2DM‎ patients. This descriptive-analytical and cross-sectional study was performed on the control group and T2DM patients in ‎Medical City in Ba

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Publication Date
Thu Dec 01 2022
Journal Name
Journal Of Engineering
Deep Learning-Based Segmentation and Classification Techniques for Brain Tumor MRI: A Review
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Early detection of brain tumors is critical for enhancing treatment options and extending patient survival. Magnetic resonance imaging (MRI) scanning gives more detailed information, such as greater contrast and clarity than any other scanning method. Manually dividing brain tumors from many MRI images collected in clinical practice for cancer diagnosis is a tough and time-consuming task. Tumors and MRI scans of the brain can be discovered using algorithms and machine learning technologies, making the process easier for doctors because MRI images can appear healthy when the person may have a tumor or be malignant. Recently, deep learning techniques based on deep convolutional neural networks have been used to analyze med

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Publication Date
Thu Dec 06 2018
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
Impact of Osteocalcin Level on Vascular Calcification in Type 2 Diabetics in Relation to Fibroblast Growth Factor-23(FGF-23)
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The present study aimed to assess the potential impact of serum concentration of undercarboxylated osteocalcin (the active form of osteocalcin) and fibroblast growth factor-23 on the incidence of cardiovascular diseases in type 2 diabetics with carotid artery calcification and the possible association with metabolic changes in relation to glucose and minerals homeostasis.

This study included 52 men with carotid artery calcification type 2 diabetes mellitus. These patients were categorized; as follows: group A includes 30 patients who had cardiovascular disease and group B includes 22 patients who had no cardiovascular disease. These groups were compared with 25 apparently healthy control (Group C). 

It has been shown

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Publication Date
Fri Oct 01 2021
Journal Name
International Journal Of Drug Delivery Technology
Formulation and In-vitro Evaluation of Thermosensitive Ciprofloxacin HCL In-situ Gel for Local Nasal Infection
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Publication Date
Sun Mar 01 2009
Journal Name
Baghdad Science Journal
The Relationship Between Hyperglycemia and the Rheumatoid Factor in the Serum of Diabetic Patients
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This study was conducted to determine the relationship between two most common diseases in Iraqis patients , which are Diabetic mellitus (DM) and Rheumatoid Arthritis (RA); seeking rheumatoid factor in hyperglycemic sera. The results revealed that ; 62.5% of hyperglycemic (HG) patients had positive rheumatoid factor (RF) . No difference in number between both gender of HG patients (20 males and 20 females ) , RF reaction was nearly similar in males and females of HG patients ( 12 &13 respectively ) . Only 40% out of patient controls had positive RF . None of the apparently healthy subjects had positive RF .

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Publication Date
Sat Aug 03 2013
Journal Name
European Journal Of Scientific Research
Serum Levels of Anti Intrinsic Factor Antibodies and α1- Antitrypsin in Alcohol-Dependent Males
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Excess alcohol consumption is associated with numerous metabolic changes and homeostasis disturbances of many macro- and micro-elements in the body. It has been associated with multiple pathologies at all levels. In the digestive apparatus, alcohol has generally been related to its toxic effects upon the liver. Alpha-1 antitrypsin (α-1 AT or AAT) plays an important role in controlling inflammation, coagulation and repair mechanisms in the body and most α-1 AT in the body is produced by the liver; from the other hand, Intrinsic factor (IF), which is a glycoprotein produced by the parietal cells of the stomach is necessary for the absorption of vitamin B12 in the small intestine. This study was designed to assess serum levels of α-1 AT and

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Publication Date
Tue Jul 29 2025
Journal Name
Journal Of Baghdad College Of Dentistry
Immunohistochemical expression of basic fibroblast growth factor-2 and Heparanase in salivary pleomorphic adenoma
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Background: The aim of this study was to evaluate the expression of fibroblast growth factor-2 and Heparanase in salivary pleomorphic adenoma, and to correlate the two studied markers with each other and with clinicopathological parameters including: age, sex, tumor site and histopathological presentation. Methods: Sections of twenty five formalin-fixed paraffin embedded tissue blocks specimens of salivary pleomorphic adenoma were immunostained using monoclonal antibodies (Fibroblast growth factor-2 and Heparanase) to assess their expression in this tumor. Results: The expression of fibroblast growth factor-2 and Heparanase were positive in all pleomorphic adenoma cases (100%). The positive expression of fibroblast growth factor-2 was signi

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