[Levels of tumor necrosis factor-alpha and interleukin-1beta in saliva of metabolic syndrome patients].
ABSTRACT To investigate the association between periodontitis and the low-grade inflammation in metabolic syndrome (MS) patients.
Fifty-seven MS patients, 26 healthy controls were enrolled. Non-stimulated whole saliva was collected. The levels of tumor necrosis factor (TNF)-alpha and interleukin (IL)-1beta was analyzed by radioimmunoassay and enzyme-linked immunosorbent assay, respectively. Concentration of cytokines was compared between MS patients and the healthy controls. Correlations between the cytokines and various periodontal indices, and between the cytokines level and different quantity of metabolic syndrome components were also investigated.
Levels of TNF-alpha in saliva of MS patients [(69.30+/-21.01) ng/L] were significantly higher than that in the healthy subjects [(57.85+/-15.69) ng/L, P<0.05], and of IL-1beta in MS patients [(616.42+/-360.05) ng/L] higher than that in healthy subjects [(506.06+/-245.76) ng/L], but the difference was not statistically significant. TNF-alpha was positively correlated with bleeding index (BI). In MS patients, TNF-alpha level and IL-1beta level increased with increasing severity of periodontal disease and increasing component numbers of MS.
Periodontal inflammation may be one of the sources of low-grade inflammation in MS patients. Both systemic and periodontal conditions may influence the level of salivary TNF-alpha and IL-1beta.
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ABSTRACT: Biological indicators have numerous and widespread utility in personalized medicine, but the measurement of these indicators also poses many technological and practical challenges. Blood/plasma has typically been used as the sample source with which to measure these indicators, but the invasiveness associated with sample procurement has led to increased interest in saliva as an attractive alternative. However, there are unique issues associated with the measurement of saliva biomarkers. These issues are compounded by the imperfect correlation between saliva and plasma with respect to biomarker profiles. In this manuscript, we address the technical challenges associated with saliva biomarker quantification. We describe a high-content microarray assay that employs both grating-coupled surface plasmon resonance imaging and surface plasmon-coupled emission modalities in a highly sensitive assay with a large dynamic range. This powerful approach provides the tools to map the proteome of saliva, which in turn should greatly enhance the utility of salivary biomarker profiles in personalized medicine.Current protocols in toxicology 08/2012; Chapter 18:Unit 18.16.1-19.