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Erschienen in: Journal of Clinical Immunology 1/2013

01.01.2013 | Original Research

Patterns of Salivary Analytes Provide Diagnostic Capacity for Distinguishing Chronic Adult Periodontitis from Health

verfasst von: Jeffrey L. Ebersole, Julie L. Schuster, Jason Stevens, Dolph Dawson III, Richard J. Kryscio, Yushin Lin, Mark V. Thomas, Craig S. Miller

Erschienen in: Journal of Clinical Immunology | Ausgabe 1/2013

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Abstract

Salivary biomarker discovery requires identification of analytes with high discriminatory capacity to distinguish disease from health, including day-to-day variations that occur in analyte levels. In this study, seven biomarkers associated with inflammatory and tissue destructive processes of periodontal disease were investigated. In a prospective cohort study design, analyte expression levels were determined in unstimulated whole saliva samples collected on multiple occasions from 30 healthy adults (i.e., orally and systemically) and 50 chronic adult periodontitis patients. Salivary levels of IL-1β, IL-6, MMP-8, and albumin were significantly elevated (5.4 to 12.6X) and levels of IFNα were consistently lower (8.7X) in periodontitis patients compared with the daily variation observed in healthy adults. ROC analyses of IL-1β, IL-6 and MMP-8 yielded areas under the curves of 0.963-0.984 for discriminating periodontitis from health. These results demonstrate that levels of salivary bioanalytes of patients who have periodontitis are uniquely different from normal levels found in healthy subjects, and a panel consisting of IL-1β, MMP-8 and IL-6 shows particular diagnostic potential.
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Metadaten
Titel
Patterns of Salivary Analytes Provide Diagnostic Capacity for Distinguishing Chronic Adult Periodontitis from Health
verfasst von
Jeffrey L. Ebersole
Julie L. Schuster
Jason Stevens
Dolph Dawson III
Richard J. Kryscio
Yushin Lin
Mark V. Thomas
Craig S. Miller
Publikationsdatum
01.01.2013
Verlag
Springer US
Erschienen in
Journal of Clinical Immunology / Ausgabe 1/2013
Print ISSN: 0271-9142
Elektronische ISSN: 1573-2592
DOI
https://doi.org/10.1007/s10875-012-9771-3

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