Journal
JOURNAL OF CLINICAL PERIODONTOLOGY
Volume 40, Issue 2, Pages 140-147Publisher
WILEY-BLACKWELL
DOI: 10.1111/jcpe.12038
Keywords
interleukin-1 ss; interleukin-6; interleukin-8; lysozyme; matrix metalloproteinases-8; periodontal disease; saliva; tissue inhibitor of metalloproteinase-1
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Funding
- Regional Board of Dental Public Health in the county of Skane
- Swedish National Graduate School in Odontological Science
- Department of Dental Medicine, Division of Periodontology, Karolinska Institutet, Stockholm, Sweden
- Academy of Finland
- Helsinki University Central Hospital Research Foundation
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Aim Saliva is a useful diagnostic fluid for oral-related diseases. Monitoring salivary biomarkers for oral and systemic diseases could become an important complement to clinical examinations in epidemiological surveys. Recent findings indicate that it is possible to detect biomarkers for oral diseases within saliva samples. The aim of this study was to investigate if known salivary biomarkers could be used for epidemiological studies for detection of periodontitis. Materials and Methods A randomly selected sample of adults (2089 years) living in Southern Sweden were invited to participate. Four hundred and fifty-one individuals were examined clinically using standard examination procedures. Stimulated saliva samples were collected and analysed for concentrations of IL-1 beta, -6, -8, lysozyme, matrix metalloproteinases (MMP)-8 and tissue inhibitor of metalloproteinase (TIMP)-1 using ELISA, immunofluorometric assay or Luminex assays. Results Patients with severe periodontitis presented with elevated salivary concentrations of IL-1 beta (p < 0.001) and MMP-8 (p < 0.001). In addition, the MMP-8/TIMP-1 ratio was significantly higher in the severe periodontitis group (p < 0.001). Smokers compared with non-smokers showed slightly lower concentrations of IL8 (p < 0.05) and MMP-8 (p = 0.052). Conclusion This investigation shows that IL-1 beta, MMP-8 and the ratio of MMP-8/TIMP-1 could be used as markers of periodontal disease in larger patient populations.
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