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Role of Osteopontin Gene Polymorphism and Certain Types of Interleukins in Pathophysiology of Osteoporosis in Iraqi postmenopausal Women
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Osteoporosis (OP) is asymptomatic disease until the experience of falls or impacts that cause broken bones or fractures happened. Estrogen deficiency, abnormality in bone matrix components and interleukins expression can impact on bone homeostasis which gradually paved to osteoclastogenesis over activation leading to bone loss. A current case-control study was designed to explain the alteration in certain biochemicals, bone matrix components, immunological and molecular parameters that which accompanied with OP in the postmenopausal women. The period of study's investigation was from December 2022 to July 2023. All participants provided written informed consent, and the study was approved by Department of Biology, College of Science, University of Baghdad Ethical Council (Reference code CSEC/0922/0092, on 26-9-2022). One hundred and ten postmenopausal women were randomly chosen to participate in this study based on specific criteria from Al-Wasity Hospital, Medical City and Al- Imamein Kadhimein Medical City Hospitles, Baghdad, Iraq. The age of the participants was ranged from 45 to 70 years. Firstly, Dual Energy X-ray Absorptiometry (DEXA) scan was performed to all participants in order to assess the precence or abscense of OP disease. Out of 110 samples, 70 samples were confirmed with OP. Meanwhile, 40 samples were control. Venous blood samples were collected from all participants to estimated compelet blood count (CBC), immunological parameters as C-Reactive Protein (CRP), Rheumatoid Facter (RF), Anticyclical Citrullinated Peptide Antibody (ACPA), Interleukin-8 (IL8), Interleukin (IL-17), and Interleukins-22 (IL-22) using enzyme link immunosorbent assay (ELISA) technique, Parathyroid Hormone (PTH), and Calicum (Ca+2), bone matrix component parameters osteopontin (OPN), osteocalicn (OCN), and osteonectin (ON), in addition to,Osteopontin gene SNP rs11730582 polymorphism was determined by the Hight Resolution Melting (HRM) analysis. Highly significant (P≤0.01) decrease in WBC count (6.30±0.18 k/mcL) and HGB (9.900±0.132 g/dL) were observed in OP patients as when compared with the control group, WBC was (8.26±0.27k/mcL) and HGB was (13.321±0.287 g/dL), Conversely, highly significant (P≤0.01) increase was recorded in ESR (43.73±1.76 mm/hr), PLT (437.88±7.00 1083/uL) in OP patients in compare with control, (21.10±1.25mm/hr), and (226.79±9.39 1083/uL), respectively. However, highly significant (P≤0.01) increase was noticed in immunological parameters: CRP was (18.26±1.33 pg/ml), RF (IU/ml) results were positive, and ACPA was (23.26±2.74EU/ml) in OP patients when compared with control, CRP (2.92±0.18 pg/ml), RF (IU/ml) results were negative, and ACPA was (6.26±0.56 EU/ml). Beside to, highly significant (P≤0.01) increase was recorded in IL-8 serum level (249.08 ±19.98ng/ml), IL-17 (107.862±9.25ng/ml), and IL-22 (57.73±2.47 ng/ml) in OP patients as compared with the healthy control group were IL-8 (65.29 ± 5.62 ng/ml), IL-17 (46.135 ± 8.66 ng/ml) and IL-22 (13.57 ± 3.16 ng/ml). The mean PTH serum level of OP patients group was (77.80±1.79pg/mL) and in control group was (35.81±2.06pg/mL), whereas a highly significant (P≤0.01) decrease in mean of Ca⁺² serum level was recorded in OP patients (4.89±0.21 mmol/L) in compared with control group (9.63±0.13 mmol/L). Additionally, high significant (P≤0.01) increase was detected in OPN serum level (16.88±0.77 ng/ml) and OCN (29.86±2.25ng/ml) in OP patients as compared with the healthy control group (5.95±0.41ng/ml and 10.73±0.86ng/ml), respectively. In contrast, ON serum level recorded a highly significant (P≤0.01) decrease in the patient group (1.78±0.971ng/ml) compared with the control group (3.42±0.20ng/ml). The frequency of homozygote TT genotype in patient's analysis was, (14.3%), (10/70) than control group (27.5%), (11/40). While, the frequency heterozygote TC and homozygote mutant CC genotypes were [TC= (71.42%) 50/70 and CC= 14.3% (10/70)] and these genotypes frequency were not significantly differet from those of the control group, (TC= 60%, (24/40), and (CC= 12.5% 5/40). P-value was different (0.0158) significantly in genotype distribution of rs11730582 polymorphism in OP patients whereas, the P-value of rs11730582 was (0.1500) non-significant in control group. In conclusion, this study found that OPN, OCN, and ON protein act as a sensitive monitoring indicator can be used in early detection of osteoporosis. And because of the capacity to activate osteoclastogenesis and promote bone resorption, IL-8, IL-17, IL-22 and rs11730582 of OPN gene polymorphism may be serve as a biomarkers, pro-inflammatory and immune-stimulating factors in OP development.

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Publication Date
Wed Apr 01 2020
Journal Name
Medico-legal Update
Knowledge and protective health behaviors concerning risk factors for coronary heart disease among baghdad university students
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Publication Date
Thu Sep 01 2022
Journal Name
Iraqi Journal Of Physics
Producing Hydrogen Energy Using Cr2O3-TNFs Nanocomposite with Animal (Chitosan) Extract via Ultrasonic and Hydrothermal Techniques
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Publication Date
Fri Mar 04 2022
Journal Name
Environmental Science And Pollution Research
Geographically weighted regression model for physical, social, and economic factors affecting the COVID-19 pandemic spreading
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Abstract<p>This study aims to analyze the spatial distribution of the epidemic spread and the role of the physical, social, and economic characteristics in this spreading. A geographically weighted regression (GWR) model was built within a GIS environment using infection data monitored by the Iraqi Ministry of Health records for 10 months from March to December 2020. The factors adopted in this model are the size of urban interaction areas and human gatherings, movement level and accessibility, and the volume of public services and facilities that attract people. The results show that it would be possible to deal with each administrative unit in proportion to its circumstances in light of the factors that appe</p> ... Show More
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Publication Date
Fri Apr 14 2023
Journal Name
Journal Of Big Data
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
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Abstract<p>Data scarcity is a major challenge when training deep learning (DL) models. DL demands a large amount of data to achieve exceptional performance. Unfortunately, many applications have small or inadequate data to train DL frameworks. Usually, manual labeling is needed to provide labeled data, which typically involves human annotators with a vast background of knowledge. This annotation process is costly, time-consuming, and error-prone. Usually, every DL framework is fed by a significant amount of labeled data to automatically learn representations. Ultimately, a larger amount of data would generate a better DL model and its performance is also application dependent. This issue is the main barrier for</p> ... Show More
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Publication Date
Wed Feb 01 2023
Journal Name
Baghdad Science Journal
Synthesis, characterization and bioactivity Study from azo – ligand derived frommethyl-2-amino benzoatewith some metal ions
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A Ligand (ECA) methyl 2-((1-cyano-2-ethoxy-2-oxoethyl)diazenyl)benzoate with metals of (Co2+, Ni2+, Cu2+) were prepared and characterization using H-NMR, atomic absorption spectroscopy, ultra violet (UV) visible, magnetic moments measurements, bioactivity, and Molar conductivity measurements in soluble ethanol. Complexes have been prepared using a general formula which was suggested as [M (ECA)2] Cl2, where M = (Cobalt(II), Nickel(II) and Copper(II), the geometry shape of the complexes is octahedral.

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Publication Date
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ICU nurses’ safety performance related to respect for safety and management commitment: A cross-sectional study
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Publication Date
Fri Jan 31 2025
Journal Name
Passer Journal Of Basic And Applied Sciences
Enhanced Security Taxonomy for Fog-Enabled VANETs: A Comprehensive Survey on Attacks, Challenges, Applications and Architectures
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Vehicular Ad Hoc Networks (VANETs) are integral to Intelligent Transportation Systems (ITS), enabling real-time communication between vehicles and infrastructure to enhance traffic flow, road safety, and passenger experience. However, the open and dynamic nature of VANETs presents significant privacy and security challenges, including data eavesdropping, message manipulation, and unauthorized access. This study addresses these concerns by leveraging advancements in Fog Computing (FC), which offers lowlatency, distributed data processing near-end devices to enhance the resilience and security of VANET communications. The paper comprehensively analyzes the security frameworks for fog-enabled VANETs, introducing a novel taxonomy that c

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Publication Date
Mon Jul 01 2024
Journal Name
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IoT-Based Low-Cost Smart Health Monitoring System using Raspberry Pi Pico W and Blynk Application
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في السنوات الأخيرة، أدى التقدم التكنولوجي في إنترنت الأشياء (IoT) وأجهزة الاستشعار الذكية إلى فتح اتجاهات جديدة وإعطاء حلول عملية في مختلف قطاعات الحياة. يتم التعرف على إنترنت الأشياء كتنولوجيا حديثة تربط بين مختلف انواع الشبكات. تم تحسين أنواع مختلفة من قطاعات الرعاية الصحية في المجال الطبي بناءً على هذه التكنولوجيا. أحد هذه القطاعات الهامة هو نظام مراقبة الصحة (HMS). تعتبر مراقبة المريض عن بعد لاسلكيًا وبت

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Publication Date
Sat Apr 01 2023
Journal Name
International Journal Of Electrical And Computer Engineering (ijece)
Flexible handover solution for vehicular ad-hoc networks based on software defined networking and fog computing
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<p>Vehicular ad-hoc networks (VANET) suffer from dynamic network environment and topological instability that caused by high mobility feature and varying vehicles density. Emerging 5G mobile technologies offer new opportunities to design improved VANET architecture for future intelligent transportation system. However, current software defined networking (SDN) based handover schemes face poor handover performance in VANET environment with notable issues in connection establishment and ongoing communication sessions. These poor connectivity and inflexibility challenges appear at high vehicles speed and high data rate services. Therefore, this paper proposes a flexible handover solution for VANET networks by integrating SDN and

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Publication Date
Sat Jan 01 2022
Journal Name
Ieee Access
Wrapper and Hybrid Feature Selection Methods Using Metaheuristic Algorithms for English Text Classification: A Systematic Review
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Feature selection (FS) constitutes a series of processes used to decide which relevant features/attributes to include and which irrelevant features to exclude for predictive modeling. It is a crucial task that aids machine learning classifiers in reducing error rates, computation time, overfitting, and improving classification accuracy. It has demonstrated its efficacy in myriads of domains, ranging from its use for text classification (TC), text mining, and image recognition. While there are many traditional FS methods, recent research efforts have been devoted to applying metaheuristic algorithms as FS techniques for the TC task. However, there are few literature reviews concerning TC. Therefore, a comprehensive overview was systematicall

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