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Diagnostic potential of salivary interleukin‐17, RANKL, and OPG to differentiate between periodontal health and disease and discriminate stable and unstable periodontitis: A case‐control study
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Abstract<sec><title>Background and Aims

Limitations of the conventional diagnostic techniques urged researchers to seek novel methods to predict, diagnose, and monitor periodontal disease. Use of the biomarkers available in oral fluids could be a revolutionary surrogate for the manual probing/diagnostic radiograph. Several salivary biomarkers have the potential to accurately discriminate periodontal health and disease. This study aimed to determine the diagnostic sensitivity and specificity of salivary interleukin (IL)‐17, receptor activator of nuclear factor‐κB ligand (RANKL), osteoprotegerin (OPG), RANKL/OPG for differentiating (1) periodontal health from disease and (2) stable and unstable periodontitis.

Methods

Participants with periodontitis (n = 50) and gingivitis (n = 25), both diseases represented the cases, and subjects with healthy periodontium (n = 15) as a control were recruited for this study. Periodontitis cases were further equally subdivided into stable and unstable. Whole unstimulated salivary sample were collected from all participants. Periodontal parameters including bleeding on probing, probing pocket depth, clinical attachment loss, and number of missing teeth were recorded. The protein levels of salivary IL‐17, RANKL, and OPG were determined by using enzyme‐linked immunosorbent assays technique.

Results

Salivary IL‐17, OPG, RANKL, and RANKL/OPG showed high sensitivity and specificity to differentiate periodontal health from gingivitis and periodontitis. Similar pattern was observed in discriminating stable and unstable periodontitis. Salivary IL‐17 and RANKL showed a good accuracy to differentiate gingivitis from periodontitis. However, OPG and RANKL/OPG did not exhibit enough sensitivity and specificity to differentiate the latter conditions.

Conclusion

Salivary IL‐17, RANKL, OPG, and RANKL/OPG system are potential candidates for differentiating periodontal health and disease and discriminate stable and unstable periodontitis.

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Sun Jun 11 2017
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Despite the artistic importance that Assumption intertextuality in technical studies, it is indispensable for the artist and writer whatever, Intertextuality s is not a coincidence, is not correct to be so, so that human culture is governed by Trait obstetrics and conclusion shows and the longer the life of culture, whatever it be more fortunate the correlation between the present and the past. From this point the problem of current research was founded in the detection of overlapping contexts in contemporary art between intertextuality and quotation, and concluded by identifying the most important terms in the search, while the second chapter highlighted the intertextuality in contemporary artistic discourse and the types of intertextua

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Publication Date
Sun Jun 12 2011
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Baghdad Science Journal
Comparison between Direct and Coherent Optical Communication System
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Publication Date
Thu Jun 02 2016
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The Association Between Biliary Atresia and Cytomegalovirus Hepatitis
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Thu Jan 01 2015
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Young People between Traditional Media and New Media
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Publication Date
Thu May 10 2018
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Global Journal Of Health Science; Issn 1916-9736 E-issn 1916-9744
Effects of Biological and Non Biological Agents (Disease Modifying Antirheumatic Drugs) on Bone Mineral Density in a Sample of Rheumatoid Arthritis Patients
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ESTIMATING OFF –FARM LABOR SUPPLY AND ANALYSING RELATIONSHIP BETWEEN RISK AND FARM SIZE
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This study was aimed to estimate  off-farm labor supply model.  Data were collected randomly from 267 wheat producers in Salah El-Din province for the year 2020, 67.4% of them are produced using pivot sprinklers for irrigation and with three tenure categories (60,80,12) dunums. Furthermore. The KS coefficient was used to analyze the producers' risk-taking behavior after estimating the production function and determining the area variable that has the most influence on the production process. If it increased by 1%, production would increase by 0.802%. The farmer's decision to adopt the technology was based on economic, social, and institutional factors. It turns out that 40% of farmers make their decision based on financing. When a

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Publication Date
Fri Dec 01 2017
Journal Name
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A Comparison between Methods of Laplace Estimators and the Robust Huber for Estimate parameters logistic regression model
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The logistic regression model regarded as the important regression Models ,where of the most interesting subjects in recent studies due to taking character more advanced in the process of statistical analysis .                                                

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