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Plasma Sclerostin Level in Multiple Myeloma
Background:

Multiple myeloma (MM) is a heterogenous plasma cell malignancy with various complications. Sclerostin is a Wingless-type (Wnt) inhibitor specifically expressed by osteocytes; it acts as a negative regulator of bone formation.

Objectives:

To assess plasma sclerostin level in MM patients and find its correlations with clinical and laboratory data, including osteolytic bone disease and international staging system (ISS).

Materials and Methods:

This cross-sectional study included 80 individuals: 40 newly diagnosed MM patients and 40 healthy adults. Patients were divided according to the presence of bone disease and ISS stage and were investigated for complete blood count, blood film and bone marrow (BM). Plasma levels of β2-microglobulin and sclerostin were measured using competitive and sandwich enzyme immunoassay techniques, respectively.

Results:

Sclerostin level was significantly increased in MM patients than control group (P < 0.001) and was significantly higher in those with osteolytic bone disease and/or pathological fractures than those without bone lytic lesions (P < 0.001). Patients with ISS stage III showed significantly higher sclerostin level than stages I and II (P = 0.003). High sclerostin levels were positively correlated with blood urea, serum creatinine, uric acid, and β2-microglobulin (P-values 0.034, <0.001, <0.018 and <0.001, respectively) and negatively with glomerular filtration rate (P = 0.001). No significant correlation was found with age, gender, hematological and other biochemical parameters.

Conclusions:

In newly diagnosed MM patients, the plasma sclerostin was significantly correlated with renal impairment. High levels of plasma sclerostin were also found in advanced disease stage and with the presence of significant bone disease.

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Publication Date
Wed Apr 01 2020
Journal Name
Brazilian Dental Journal
In Vitro Homeostasis of Rat Oral Epithelial Cell Cultures Following Withdrawal of Periodontal Pathogens

Abstract Inflammation of periodontal tissues is the consequence of interaction between periodontal pathogens and immune system. This is associated with increased expression of inflammatory cytokines, which may exert destructive effect to the periodontal tissues when released over long period. The aim of this study was to chronologically track the homeostasis of oral keratinocytes following removal of periodontal pathogens. This was done by investigating expression of selected inflammatory markers and integrity of epithelial monolayers in vitro. Rat oral keratinocytes were stimulated with heat-killed Fusobacterium nucleatum and Porphyromonas gingivalis over 7-days then bacteria were washed away and epithelial cells re-cultured for 3-

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Publication Date
Mon Jun 01 2020
Journal Name
Iop Conference Series: Materials Science And Engineering
Improvement the corrosion Behavior of Titanium by Nanotubular Oxide in a simulated saliva solution
Abstract<p>The corrosion behavior of Titanium in a simulated saliva solution was improved by Nanotubular Oxide via electrochemical anodizing treatment using three electrodes cell potentiostat at 37°C. The anodization treatment was achieved in a non-aqueous electrolyte with the following composition: 200mL ethylene glycol containing 0.6g NH4F and 10 ml of deionized water and using different applied directed voltage at 10°C and constant time of anodizing (15 min.). The anodized titanium layer was examined using SEM, and AFM technique.</p><p>The results showed that increasing applied voltage resulted in formation titanium oxide nanotubes with higher corrosion resistance </p> ... Show More
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Publication Date
Wed Feb 12 2014
Journal Name
In Vitro Cellular &amp; Developmental Biology - Plant
Overexpression of a tobacco osmotin gene in carrot (Daucus carota L.) enhances drought tolerance

Osmotin and osmotin-like proteins belong to the PR-5 pathogenesis-related group of proteins and are induced in response to various types of biotic and abiotic stresses in several plant species. Carrot was transformed with a tobacco osmotin gene that encodes a protein lacking the vacuolar-sorting motif that is composed of a 20-amino-acid sequence at the C-terminal end, under the control of the cauliflower mosaic virus 35S promoter, using Agrobacterium-mediated transformation. Transgene integration and expression were confirmed by Southern and western blot analyses, and three selected transgenic lines were evaluated for their ability to tolerate drought stress. Under drought stress conditions, all transformants exhibited slower rates of wilti

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Publication Date
Mon Mar 01 2021
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Journal Of Physics: Conference Series
Anti-Corrosive Substance as Green Inhibitor for Carbon Steel in Saline and Acidic Media

Ficus (FIC) leaf extract used as corrosion inhibitor for carbon steel alloy (C.S) in two corrosive environments (saline and acidic) with four concentrations (1, 2, 3 and 4 ppm) at varied temperature range between (298-328 K) using electrochemical polarization measurements. The importance of this work focused on the use the green chemistry that is far from the chemical materials effect. The results of polarization presented the FIC inhibitor consider a mixed type (anodic and cathodic) inhibitor. Tafel curve used to evaluate the corrosion inhibition activity. In a saline medium, the best inhibitor efficiency reaches to (87%) in 2 ppm and IE% reach to (99%) for HCl medium inhibited by 1ppm. Langmuir isotherm obeys the study by thermodynamic pa

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Publication Date
Tue Nov 01 2022
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Thermal effectiveness of solar collector using Graphene nanostructures suspended in ethylene glycol–water mixtures

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Environmental Monitoring And Assessment
GIS-based assessment of groundwater quality for drinking and irrigation purposes in central Iraq

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Publication Date
Tue Dec 20 2022
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Improve the Competitive Advantage Through Human Resources Management Practices in the Iraqi Banking Sector

Purpose: This study's objective is to assess this relationship in the context of the banking industry in Iraq. The human resources management practices (HRMPs) Theoretical framework: in this study included recruiting and selection, training and development, performance appraisal, compensation and reward to testing relationship HRMPs. Design/methodology/approach: in this study; We analysed by used a quantitative approach, and 246 employees were selected as a sample and given a questionnaire. The SPSS software was used to examine the data that were obtained from the questionnaire. Findings: The study's findings revealed a variety of hypotheses and conclusions, including the following: comp

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Publication Date
Thu Jun 30 2022
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Iraqi Journal Of Science
Biostratigraphy of the Early Cretaceous Mauddud Formation in Ratawi Oilfield, Basrah Governorate, Southern Iraq

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Publication Date
Thu Feb 27 2020
Journal Name
Iraqi Journal Of Science
Assessment of Soil Pollution in the Ishaqi Project Area- Salah Al-Dean Governorate, Iraq

Ten soil samples were collected from Ishaqi project  area, Salah Al-Dean Governorate, and analysed for chemical elements (Fe2O3, Al2O3, CaO, K2O Na2O, Co, Zn, Cu, and Pb) to detect the pollution in the study soil using the indices of geo-accumulation (I-geo), contamination factor (CF), and pollution load index (PLI), The results of I-geo indicate that the soil of Ishaqi project area is unpolluted with Pb,  Co and slightly polluted with Zn and Cu.  The results of CF for Zn, Cu, and  Co showed class 2 of moderate contamination and class 1 of low contamination in some samples while those for Pb demonstrated class 1 –of  low contamination. The Pollution Load Index (PLI) values for Co, Zn, Cu, and Pb showed cla

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Publication Date
Wed Oct 28 2020
Journal Name
Iraqi Journal Of Science
Epileptic Seizures Detection Using DCT-II and KNN Classifier in Long-Term EEG Signals

     Epilepsy is one of the most common diseases of the nervous system around the world, affecting all age groups and causing seizures leading to loss of control for a period of time. This study presents a seizure detection algorithm that uses Discrete Cosine Transformation (DCT) type II to transform the signal into frequency-domain and extracts energy features from 16 sub-bands. Also, an automatic channel selection method is proposed to select the best subset among 23 channels based on the maximum variance. Data are segmented into frames of  one Second length without overlapping between successive frames. K-Nearest Neighbour (KNN) model is used to detect those frames either to ictal (seizure) or interictal (non-

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