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Gingival tissue samples from periodontitis patients demonstrate epithelial–mesenchymal transition phenotype
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Abstract<sec><title>Objective

To determine the expression of key epithelial–mesenchymal transition (EMT) markers in gingival tissue samples collected from patients with periodontitis.

Background

Epithelial–mesenchymal transition is a process responsible for shifting epithelial‐phenotype to mesenchymal‐phenotype leading to loss of epithelial‐barrier function. Thus, EMT could be involved as a pathogenic mechanism in periodontitis as both conditions share common promoters and signalling pathways.

Materials and Methods

Gingival tissue samples were collected from patients with periodontitis (case) and healthy periodontium (control). Periodontal parameters including bleeding on probing, probing pocket depth (PPD), and clinical attachment loss were recorded. Paraffinized tissue samples were processed and immunohistochemically stained to determine the expression of key EMT markers which included E‐cadherin, β‐catenin, Snail1 and vimentin.

Results

The majority of cases (n = 65, 72.2%) were diagnosed with periodontitis stage 3 or 4, grade b or c vs 25 (27.8%) subjects with intact healthy periodontium. Discontinuity of epithelium was detected in up to 80.9% of periodontitis cases associated with reduced number of epithelial layers as compared to controls. Immunohistochemical expression of epithelial markers (E‐cadherin and β‐catenin) was significantly downregulated in periodontitis patients as compared with controls. Periodontitis cases exhibited significant upregulation of Snail1 expression. Furthermore, cytoplasmic vimentin (66.2%) and nuclear β‐catenin (27.7%) were solely expressed in periodontally diseased tissues compared with control. Epithelial markers, E‐cadherin and β‐catenin, were significantly negatively correlated with increasing PPD, while vimentin showed positive correlation with this parameter.

Conclusion

There were marked downregulation of epithelial molecules and upregulation of mesenchymal markers in gingival tissues derived from periodontitis patients, suggesting expression of the EMT phenotype in the pathological epithelial lining of periodontal pockets.

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Fri Nov 09 2018
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Assessment of Patients' Satisfaction toward Nursing Care at Hemodialysis units
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Objectives: To assess patients' satisfaction to nursing care at hemodialysis units and determine the relationship
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, 2010 through Sep. 5
th, 2010. A purposive (non-probability) sample of (150) patients ta hemodialysis units ni
Baghdad teaching hospitals was selected. The data were collected through the use of constructing questionnaire
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Thu Nov 01 2018
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Iraqi National Journal Of Nursing Specialties
Impact of functional disability on lifestyle for patients with arthritis
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determination of the impact of rheumatoid arthritis and osteoarthritis patient’s functional disability
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rheumatoid arthritis patients and (134) osteoarthritis patients, was selected out of the early stated
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Publication Date
Sat Oct 01 2022
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Evaluation of Certain Physiological Biomarkers in Iraqi Endometrial Carcinoma Patients
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Background: Endometrial Cancer (EC) is the malignant tumor originating from endometrium cell (lining of the uterus). EC incidence and mortality have increased in recent years. Routinely used methods for EC diagnosis and treatment are histopathological tissue culture after surgery and postoperative radiotherapy, however there is still not enough efficient treatment for recurrence or progression of this disease. So, there is a critical need for further EC identification by new biological ways for the prognostic diagnosis of it. Objective: This study aimed to look for ways by which could help in diagnosis of EC before the hysterectomy. Materials and Methods: 55 patients with EC and 57 healthy women were involved in this study (up to 45 years)

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EEG Neuro-markers to Enhance BCI-based Stroke Patients Rehabilitation
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Stroke is the second largest cause of death worldwide and one of the most common causes of disability. However, several approaches have been proposed to deal with stroke patient rehabilitation like robotic devices and virtual reality systems, researchers have found that the brain-computer interfaces (BCI) approaches can provide better results. In this study, the electroencephalography (EEG) dataset from post-stroke patients were investigated to identify the effects of the motor imagery (MI)-based BCI therapy by investigating sensorimotor areas using frequency and time-domain features and to select particular methods that help in enhancing the MI-based BCI systems for stroke patients using EEG signal processing. Therefore, to detect

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Determination of Enzymatic Antioxidant in Iraqi Patients with Chronic Gastritis
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Adherence to Different Treatment Modalities among Patients on Maintenance Hemodialysis
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