Background: Recent studies suggest that chronic periodontitis (CP) and type2 diabetes mellitus (T2DM) are bidirectionally associated. Analysis of saliva as a mirror of oral and systemic health could allow identification of α amylase (α-Am) and albumin (A1) antioxidant system markers to assist in the diagnosis and monitoring of both diseases. The present study aims at comparing the clinical periodontal parameters in chronic periodontitis patients with poorly or well controlled Type 2Diabetes Mellitus, salivary α-Am, A1, flow rate (FR) and pH then correlate between biochemical, physical and clinical periodontal parameters of each study and control groups. Materials and Methods: 80 males, with an age range of (35-50) years were divided into four groups, (20 subjects each): two groups had well or poorly controlled Type 2Diabetes Mellitus both of them with chronic periodontitis, group of patients with only chronic periodontitis and control group with healthy periodontium and systemically healthy. From all subjects unstimulated whole salivary samples were collected to measure FR, pH, Al and α – Am, then clinical periodontal parameters (plaque index, gingival index, bleeding on probing, probing pocket depth and clinical attachment level)were recorded. Results: Patients had chronic periodontitis with poorly controlled Type 2Diabetes Mellitus demonstrated the highest median values of all clinical periodontal parameters and highest increase in levels of salivary α-Am and Al with lowest median values of FR and pH, in addition to the highly significant differences among the study and control groups regarding biochemical and physical parameters. Positive correlations were revealed between α-Am with Al and both of them with all clinical periodontal parameters but, they were negative with FR and pH. Conclusion: Patients with poor glycemic control had more severe periodontal tissue break down with decrease in FR and pH also obvious increase in levels of A1 and α- Am so, these biochemical markers will provide an objective phenotype to allow practitioners for early diagnosis, which is essential for improved prognosis and effective delay of clinical complications associated with chronic periodontitis and DM and an important strategy to lower the incidence of both diseases world wide. Keywords: Periodontitis, Type 2Diabetes Mellitus, salivary albumin and α-amylase.
אורי-צבי גרינברג, אחד המשוררים היהודים הבולטים במאה ה-20, ולפי מבקרים רבים, היה גרינברג מהמשוררים החלוצים בתקופה שמלאה בחדשנות ובתנודת האירועים הפוליטיים והביטחוניים, באירופה ובמזרח התיכון. גרינברג יליד גליציה ב-1894, גדל במשפחה חסידית, הוא הגר פלסטינה ב-1923, ומשנה ההיא גרינברג נצל את עצמו לעבודה הספרותית והפוליטית ביחד. הוא תרם להקמתם של כתבי-עת והעתונים וכתב יצירות ספרותיות רבות, רובן היו שירים בעלי
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Proteus mirabilis isolates have been intensively researched for their capacity to cause urinary tract infections (UTIs) and their swarming motility, although little is known about this phenomenon. Probiotic Lactobacillus species, which are beneficial bacteria, are being studied worldwide as therapeutic and preventative agents against bacterial infections. This study investigated Lactobacillus supernatants as a potential new treatment against Proteus mirabilis. In addition to testing their antimicrobial and anti-swarming activities, the research also aimed to understand the genetic mechanisms behind the observed phenotypic changes. Methods. A total of 150 urine specimens were collected from UTI patients at various hospitals in Baghdad. Dire
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... Show MoreSurface water samples from different locations within Tigris River's boundaries in Baghdad city have been analyzed for drinking purposes. Correlation coefficients among different parameters were determined. An attempt has been made to develop linear regression equations to predict the concentration of water quality constituents having significant correlation coefficients with electrical conductivity (EC). This study aims to find five regression models produced and validated using electrical conductivity as a predictor to predict total hardness (TH), calcium (Ca), chloride (Cl), sulfate (SO4), and total dissolved solids (TDS). The five models showed good/excellent prediction ability of the parameters mentioned
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