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The Correlation of Serum Periostin Level with Disease Severity in Patients with Covid -19
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Background: Coronavirus disease 2019 (COVID-19) is an emerging zoonotic disease caused by the new respiratory virus SARS-CoV2. It has a tropism in the lung tissues where excess target receptors exist. Periostin plays a role in subepithelial fibrosis associated with bronchial asthma. Since the Coronavirus's target is the human respiratory system, Periostin has been recently described as a valuable new biomarker in the diagnosis and evaluation of disease in patients with COVID-19 lung involvement. Objectives: To assess the level of Periostin in the serum of COVID-19 patients and to correlate its role in disease severity and prognosis. Subjects and Methods: Periostin serum levels were measured for 63 patients attending three main COVID-19 Control Centers in Baghdad, compared to 25 healthy subjects, using an enzyme-linked immunosorbent assay (ELISA) from January 2021 to April 2022. Results: Serum levels of Periostin among studied groups with (mild - moderate, severe - critical, post-COVID, and controls) were (17.3, 664, 597, and 48) ng/dl respectively. The serum concentration of Periostin was highly significant in (severe- critical and post-COVID) than in other groups. Conclusions: The elevated level of serum Periostin in COVID-19 patients correlated with disease severity and post-COVID lung complications. The high Periostin level is consistent with high inflammatory markers, which might be used as an indicator of COVID-19 severity and predict a bad prognosis.

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Publication Date
Tue Jun 03 2014
Journal Name
Heat Transfer - Asian Research
CFD Simulation of Heat Transfer Augmentation in a Circular Tube fitted with Alternative Axis Twisted Tape in Laminar Flow under the Constant Heat Flux
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Publication Date
Wed Oct 17 2018
Journal Name
Iraqi Journal Of Laser
The Effect of using 940 nm Diode Laser in Comparison with Endoactivator on Radicular Dentin Permeability and Smear Layer Removal (An in Vitro Study)
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Abstract: The aim of this study is to assess the effectiveness of 940 nm diode laser in comparison to Endoactivator in elimination of smear layer in terms of radicular dentin permeability and ultra-structural changes of root canal walls by SEM evaluation. Twenty-eight single-rooted extracted lower premolars were instrumented up to size X4 (protaper Next, Dentsaply) and divided into two experimental groups according to the irrigation system, G1; activated by EndoActivator and G2; activated by Diode laser 940 nm, CW mode, 1.7 W. Afterward, the roots were made externally impermeable, filled with 2%methylene blue dye, divided horizontally into three segments representing the apical, middle, and coronal thirds then examined under stereo- micr

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Publication Date
Thu Dec 17 2020
Journal Name
International Journal Of Molecular Sciences
AhR Activation Leads to Alterations in the Gut Microbiome with Consequent Effect on Induction of Myeloid Derived Suppressor Cells in a CXCR2-Dependent Manner
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Aryl hydrocarbon receptor (AhR) is a ligand-activated transcription factor and 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) is a potent ligand for AhR and a known carcinogen. While AhR activation by TCDD leads to significant immunosuppression, how this translates into carcinogenic signal is unclear. Recently, we demonstrated that activation of AhR by TCDD in naïve C57BL6 mice leads to massive induction of myeloid derived-suppressor cells (MDSCs). In the current study, we investigated the role of the gut microbiota in TCDD-mediated MDSC induction. TCDD caused significant alterations in the gut microbiome, such as increases in Prevotella and Lactobacillus, while decreasing Sutterella and Bacteroides. Fecal transplants from TCDD-treated

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Publication Date
Tue Jul 01 2025
Journal Name
Journal Of Breast Diseases
Association Between Serum Interleukin-41 Levels and Breast Cancer Status: A Case–Control Study in Iraqi Women
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Publication Date
Sat Apr 25 2020
Journal Name
Open Access Macedonian Journal Of Medical Sciences
The Efficacy and Prevalence of Montelukast Therapy in Cough-Variant Asthma Patients in Al-Kindy Teaching Hospital
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BACKGROUND: Cough-variant asthma (CVA) is a type of asthma in which the main symptom is a dry, non-productive cough. OBJECTIVE: The objective of the study was to evaluate the therapeutic effect of Montelukast in CVA and to investigate the prevalence of Montelukast in CVA. METHODS: A cross-sectional study was conducted on 30 patients with chronic cough at least 8 weeks using Montelukast at Al-Kindy Hospital over the period of January 2018‒March 2018. An interview using questionnaire was used to collect the data that were specifically prepared to meet the objective of study including age, sex, associated disease, exacerbation factors, and classical therapy. RESULTS: There was a reduction of the symptoms associated

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Publication Date
Wed Jun 15 2022
Journal Name
Journal Of Baghdad College Of Dentistry
Potential of Salivary Matrix Metalloproteinase 9 to Discriminate Periodontal health and disease
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Periodontitis is a chronic inflammatory disease resulted from aggravated immune response to a dysbiotic subgingival microbiota of a susceptible host. Consequences of periodontitis are not only limited to the devastating effect on the oral cavity but extends to affect general health of the individual and also exerts economic burdens on the health systems worldwide. Despite these serious outcomes of periodontitis; however, they are avoidable by early diagnosis with proper preventive measures or non-invasive interventions at earlier stages of the disease. Clinically, diagnosis of periodontitis could be overlooked due to certain limitations of the conventional diagnostic methods such as periodontal charting and radiographs. Utilization of re

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Publication Date
Wed Jan 01 2020
Journal Name
International Journal Of Advance Science And Technology
MR Images Classification of Alzheimer's Disease Based on Deep Belief Network Method
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Background/Objectives: The purpose of this study was to classify Alzheimer’s disease (AD) patients from Normal Control (NC) patients using Magnetic Resonance Imaging (MRI). Methods/Statistical analysis: The performance evolution is carried out for 346 MR images from Alzheimer's Neuroimaging Initiative (ADNI) dataset. The classifier Deep Belief Network (DBN) is used for the function of classification. The network is trained using a sample training set, and the weights produced are then used to check the system's recognition capability. Findings: As a result, this paper presented a novel method of automated classification system for AD determination. The suggested method offers good performance of the experiments carried out show that the

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Publication Date
Sat Aug 10 2024
Journal Name
American Journal Of Economics And Business Innovation
Factors Associated with Employees’ Intention to Leave in ICT Sector in Iraq: A Factor Analysis
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The current paper aims to identify potential factors associated with employees’ intentions to leave information and communication technology companies in Iraq. There is evident variability in the literature regarding these factors; hence, a factor analysis approach was employed to identify these factors within the surveyed environment. Due to the difficulty in precisely delineating the size of the research population, a purposive sampling method was employed to reach an appropriate number of respondents within the aforementioned companies. A total of 288 employees responded to the survey conducted via Google Forms. The test results revealed the presence of five primary factors associated with employees’ intentions to leave, name

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Publication Date
Wed Jun 07 2023
Journal Name
Journal Of The Turkish-german Gynecological Association
Maternal and neonatal outcomes in adolescent pregnant women with one prior Cesarean section in Baghdad
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Publication Date
Mon Mar 01 2021
Journal Name
Iraqi Journal Of Physics
Enhanced Physical Absorption Properties of ZnO Nanorods by Electrostatic Self-Assembly with Reduced Graphene Oxide and Decorated with Silver and Copper Nanoparticles
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The preparation and characterization of innovative nanocomposites based on zinc oxide nanorods (ZNR) encapsulated by graphene (Gr) nanosheets and decorated with silver (Ag), and cupper (Cu) nanoparticles (NP) were studied. The prepared nanocomposites (ZNR@Gr/Cu-Ag) were examined by different techniques including Field Emission Scanning Electron Microscope (FESEM), Transmission electron microscopy (TEM), Atomic force microscopy (AFM), UV-Vis spectrophotometer and fluorescence spectroscopy. The results showed that the ZNR has been good cover by five layers of graphene and decorated with Ag and Cu NPs with particles size of about 10-15 nm. The ZNR@Gr/Cu-Ag nanocomposites exhibit high absorption behavior in ultraviolet (UV) region of sp

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