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Diagnostic ability of salivary TNF-α and RANKL to differentiate periodontitis from periodontal health (case-control study)
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Background

Periodontitis is a chronic inflammation affecting the tooth-supporting periodontal tissues. It is diagnosed by measuring periodontal parameters. However, documenting this data takes effort and may not discover early periodontitis. Biomarkers may help diagnose and assess periodontitis. This study aimed to evaluate the potential diagnostic of the salivary tumor necrosis factor-α (TNF-α) and receptor-activator of nuclear factor ĸ-B-ligand (RANKL) in distinguishing between periodontitis and healthy periodontium.

Methods

The selected sample size consisted of 88 subjects; it was divided into two groups: 44 subjects in the periodontitis group and 44 subjects in the healthy group. Unstimulated salivary samples were collected from participants. Demographic data and clinical periodontal parameters were recorded. ELISA was used for the quantification of levels of TNF-α and RANKL.

Results

Both TNF-α and RANKL concentrations showed statistically significant differences when comparing healthy to periodontitis (p < 0.01). The sensitivity of RANKL was found to be perfect (1.00), while its specificity was high (0.92) and the area under curve (AUC) was 0.985. On the other hand, TNF-α displayed high sensitivity (0.976) and good specificity (0.893), with an AUC of 0.973.

Conclusion

Salivary RANKL and TNF-α showed high diagnostic precision and hold potential as helpful instruments for the timely identification and distinction of periodontal diseases (PDs), presenting opportunities for enhanced management of PD and patient welfare.

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Tue Dec 01 2015
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Climatic and tectono-geomorphological controls on karst spring dynamics: Case study of the El Menzel Causse, Middle Atlas (Morocco)
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Civilizations and Environmental Particulars of Place in Islamic Holy Thresholds in Iraq (Alkadhumain Holy Threshold as a case study)
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Early detection of periodontitis among young adult cigarette smokers and non-smokers using cone beam computed tomography
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Background: Periodontitis is an inflammatory disease that affects the supporting tissues of the teeth; Smoking is an important risk factor for periodontitis induces alveolar bone loss and cause an imbalance between bone resorption and bone deposition. The purpose of this study is to detect and compare the presence of incipient periodontitis among young smokers and non-smokers by measuring the distance between cement-enamel junction and alveolar crest (CEJ-Ac) using Cone Beam Computed Tomography (CBCT). Material and methods: The total sample composed of fifty two participants, thirty one smokers and twenty one non-smokers (age range 14-22 years). Periodontal parameters: plaque index (PLI), gingival index (GI) were recorded for all teeth exc

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