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Immunohistochemical expression of Fas/Fasligand and c-Myc in oral lichen planus
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Background: Oral Lichen Planus is a chronic inflammatory mucosal disease, presenting in various clinical forms .Both antigen-specific and non-specific mechanisms involved in the pathogenesis of OLP. Apoptosis or programmed-cell death is a physiological process essential for the normal development and maintenance of homeostasis in many organisms. Fas is a cell-surface glycoprotein, 40-kDa, that belongs to the nerve growth factor / tumor necrosis factor (TNF) receptor family. Fas is expressed in several tissues including blood, where its expression is upregulated on activated T and B lymphocytes and natural killer cells. Fas ligand is a type II transmembrane protein that belongs to the tumor necrosis factor family. The proto-oncogene c-Myc is a transcripation factor with roles in cellular proliferation, differentiation, apoptosis and cell cycle progression. Mutation in the c-Myc gene and protein over-expression has been associated with a variety of hematopoietic tumors, leukemias and lymphomas. Apoptosis is the mechanism that would be dysregulated in this disease. This study was conducted to evaluate the expression of Fas, Fasl and c-Myc in oral lichen planus and to correlate the expression of either markers with each other. Materials and Methods: This study was performed on thirty formalin- fixed paraffin-embedded tissue blocks of oral lichen planus pro and retrospectively. An immunohistochemical staining was done by using monoclonal antibodies for Fas, Fasl and c-Myc. Results: Expressions of Fas, Fasl and c-Myc were highly detected in keratinocytes and inflammatory cells of OLP cases compared to negative expression in normal oral mucosa. Significant correlation has been found between expression of Fas, Fasl and c-Myc in epithelial cells with that of inflammatory cells in oral lichen planus studied cases. Significant correlation has been found among expressions of Fas, Fasl and c-Myc in epithelial cells of oral lichen planus cases. Significant positive correlation found between expressions of Fas, Fasl and c-Myc in keratinocytes and inflammatory cells of oral lichen planus . Conclusion: Increased expression level of Fas, Fasl and c-Myc in both keratinocytes and lymphocytes of OLP cases in comparison to normal mucosa with highly significant correlation among the markers expression indicate their important role in malignant transformation of oral lichen planus.

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Publication Date
Thu Jun 25 2020
Journal Name
Scientific Reports
Lysophosphatidylcholine acyltransferase 2 (LPCAT2) co-localises with TLR4 and regulates macrophage inflammatory gene expression in response to LPS
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Despite extensive investigations, an effective treatment for sepsis remains elusive and a better understanding of the inflammatory response to infection is required to identify potential new targets for therapy. In this study we have used RNAi technology to show, for the first time, that the inducible lysophosphatidylcholine acyltransferase 2 (LPCAT2) plays a key role in macrophage inflammatory gene expression in response to stimulation with bacterial ligands. Using siRNA- or shRNA-mediated knockdown, we demonstrate that, in contrast to the constitutive LPCAT1, LPCAT2 is required for macrophage cytokine gene expression and release in response to TLR4 and TLR2 ligand stimulation but not for TLR-independent stimuli. In addition, cells transfe

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Publication Date
Tue Jan 01 2019
Journal Name
In Indian Journal Of Public Health Research And Development
The Significance of p53, Bcl-2, and HER-2/neu Protein Expression in Iraqi Females Breast Cancer Cell Line (AMJ13)
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Publication Date
Sun Jan 01 2023
Journal Name
Journal Of Advanced Pharmaceutical Technology & Research
Hesperetin effect on MLH1 and MSH2 expression on breast cancer cells BT-549
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Publication Date
Sun Nov 01 2020
Journal Name
Iop Conference Series: Materials Science And Engineering
Face Recognition and Emotion Recognition from Facial Expression Using Deep Learning Neural Network
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Abstract<p>Face recognition, emotion recognition represent the important bases for the human machine interaction. To recognize the person’s emotion and face, different algorithms are developed and tested. In this paper, an enhancement face and emotion recognition algorithm is implemented based on deep learning neural networks. Universal database and personal image had been used to test the proposed algorithm. Python language programming had been used to implement the proposed algorithm.</p>
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Publication Date
Sun May 17 2026
Journal Name
Journal Of Baghdad College Of Dentistry
The role of low level laser therapy on the expression of IL_1 beta in wound healing
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Background: Low-level laser therapy (LLLT) has been extensively applied to improve wound healing due to some biostimulatory properties presented by laser arrays apparently able to accelerate the repair of soft tissue injuries. However, the role of proinflammatory interlukines not been studied yet. IL_1 ? represent one of the most important poroinflammatory interlukines that involved in wound healing. The goal of this study was to investigate the effect of 790-805nm diode laser on the expression of IL_1 ? during wound healing in mice. Materials and Methods: Standard-sized wounds (1.5cm) were carried out in the face of 96 white albino mice. Half of them underwent LLLT treatment (360 J/cm 2) at 790-805 nm delivered immediately after wound pro

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Publication Date
Thu Jun 30 2022
Journal Name
International Journal Of Drug Delivery Technology
Expression of Vascular Endothelial Growth Factor in the Placenta of Iraqi Women Complicated with Hypertensive Disorder
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During pregnancy, high blood pressure disorder is the most common medical complication in pregnancy. It is the foremost cause of maternal mortality and perinatal diseases. Vascular endothelial growth factor (VEGF) affects the growth of vascular endothelial cells, existence, and multiplying, which are known to be expressed in the human placenta. This study aimed to identify the expression VEGF in the placenta of hypertension and normotensive women. In this study, a cross-sectional study from november 2019 to February 2020. A total of 100 placentae involved 50 hypertensive cases and 50 normotensive groups were assessed. VEGF-A expression in two placentas groups was evaluated by immunohistochemistry techniques. Strong and moderate VEGF

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Publication Date
Sun May 17 2026
Journal Name
Journal Of Baghdad College Of Dentistry
Nutritional status in relation to oral health status among patients attending dental hospital
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Background: Good Nutrition is essential for oral and dental health in children. Good eating habits and food preferences are established early in childhood. Oral health problems can effect dietary quality and nutrient intake in another side increase the risk of several systemic diseases., The aim of the present study was to investigate the relation or the effect the of nutritional status in children at age of 5 to16 on the oral health status and dental caries . Materials and Methods: the total sample composed of 153 patients attending the Pedodontic and Preventive Department/College of Dentistry/University of Baghdad, the assessment of nutritional status was performed by using Body Mass Index specific for age and gender according to Chronic

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Publication Date
Thu Apr 15 2021
Journal Name
Biochem. Cell. Arch.
CYTOKINES SERUM PROFILE IMMUNOSUPPRESSANT BALB/C MICE INFECTED WITH CRYPTOSPORIDIUM PARVUM
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Publication Date
Sun Jul 09 2023
Journal Name
Journal Of Engineering
MR Brain Image Segmentation Using Spatial Fuzzy C- Means Clustering Algorithm
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conventional FCM algorithm does not fully utilize the spatial information in the image. In this research, we use a FCM algorithm that incorporates spatial information into the membership function for clustering. The spatial function is the summation of the membership functions in the neighborhood of each pixel under consideration. The advantages of the method are that it is less
sensitive to noise than other techniques, and it yields regions more homogeneous than those of other methods. This technique is a powerful method for noisy image segmentation. 

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Publication Date
Sat Dec 01 2018
Journal Name
Al-khwarizmi Engineering Journal
Applying A* Path Planning Algorithm Based on Modified C-Space Analysis
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In this paper, a modified derivation has been introduced to analyze the construction of C-space. The profit from using C-space is to make the process of path planning more safety and easer. After getting the C-space construction and map for two-link planar robot arm, which include all the possible situations of collision between robot parts and obstacle(s), the A* algorithm, which is usually used to find a heuristic path on Cartesian W-space, has been used to find a heuristic path on C-space map. Several modifications are needed to apply the methodology for a manipulator with degrees of freedom more than two. The results of C-space map, which are derived by the modified analysis, prove the accuracy of the overall C-space mapping and cons

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