GCF AND PERIODONTITIS

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  • #10356
    Drsumitra
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    Various biomarkers are contained in gingival crevicular fluid (GCF), including cytokines such as interleukin (IL)-1β, IL-6, IL-8, tumor necrosis factor-α (TNF-α), and IL-10, among others. These biomarkers have been reported to correlate with gingival inflammation and periodontal status. Therefore, the analysis of GCF may be useful for the diagnosis of periodontal status. Pentraxin 3 (PTX3) is the first identified long pentraxin and is released by several cell types in response to proinflammatory signals. A study by Fujita et al of 50 patients with chronic periodontitis determined the levels of IL-1β, IL-6, IL-8, TNF-α, IL-10, and PTX3 in GCF from diseased and healthy sites. GCF samples were collected with paper strips from one periodontal diseased site and one periodontally healthy site per subject. The levels of IL-1β, IL-6, IL-8, IL-10, and TNF-α were determined using a multiplexed bead immunoassay, and the PTX3 level was measured using an enzyme-linked im­munosorbent assay. The study found that mean clinical parameters were significantly higher at diseased sites as compared to healthy sites, and the mean levels of PTX3, IL-1β, IL-6, IL-8, IL-10, and TNF-α were higher in diseased sites than in healthy sites. There were strong correlations be­tween PTX3 or IL-1β and periodontal status. The authors suggest that GCF PTX3 levels might be useful as a diagnostic marker for periodontal disease.

    #15205
    Drsumitra
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     Inflammatory processes occurring in the vicinity of bone tissue often result in stimulation of osteoclast activity and loss of skeletal mass. The aim of the current study was to determine if inflammatory exudates collected from gingival pockets in patients with periodontitis contain factors capable of stimulating resorptive activity. The degree of bone mineral mobilization and bone matrix degradation was assessed by analysis of the release of 45Ca and 3H from bones prelabelled with 45CaCl2 and [3H]proline, respectively. Gingival crevicular washings from six patients with signs of periodontitis stimulated 45Ca or 3H release from the calvarial bones. The stimulatory effect of the gingival crevicular washings on 45Ca release was concentration- and time-dependent, and reduced by calcitonin, a specific osteoclast inhibitor. These data demonstrate that crevicular fluid contains factor(s) which can stimulate osteoclastic degradation of bone in vitro. The bone resorbing activity was partially retained after extensive dialysis. Analysis of the concentrations of prostaglandin E2, interleukin-1alpha and interleukin-1beta in the crevicular fluids, and comparisons of these agents as stimulators of 45Ca release in the mouse calvarial assay, suggest that prostaglandin E2 is not the sole factor responsible for the bone resorbing activity of the exudates. The data indicate that other factors, such as IL-1, may play key roles in the stimulation of osteoclastic activity by gingival crevicular washings.

    #15206
    Drsumitra
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     Gingival crevicular fluid (GCF) is an inflammatory exudate that can be collected at the gingival margin or within the gingival crevice. The biochemical analysis of the fluid offers a non invasive means of assessing the host response in periodontal disease. Active phase of periodontal disease process can be measured or assessed by the constituents of gingival fluid. Bacterial enzymes, bacterial degradation products, connective tissue degradation products, host mediated enzymes, inflammatory mediators, extracellular matrix proteins either together or individually can be detected in higher levels in gingival crevicular fluid during active phase of periodontitis.

    Analysis of gingival crevicular fluid (GCF) samples may give information of unattached (planktonic) subgingival bacteria. Our study represents the first one targeting the identity of bacteria in GCF.

    Methodology/Principal Findings

    We determined bacterial species diversity in GCF samples of a group of periodontitis patients and delineated contributing bacterial and host-associated factors. Subgingival paper point (PP) samples from the same sites were taken for comparison. After DNA extraction, 16S rRNA genes were PCR amplified and DNA-DNA hybridization was performed using a microarray for over 300 bacterial species or groups. Altogether 133 species from 41 genera and 8 phyla were detected with 9 to 62 and 18 to 64 species in GCF and PP samples, respectively, per patient. Projection to latent structures by means of partial least squares (PLS) was applied to the multivariate data analysis. PLS regression analysis showed that species of genera including Campylobacter, Selenomonas, Porphyromonas, CatonellaTannerellaDialister, PeptostreptococcusStreptococcus andEubacterium had significant positive correlations and the number of teeth with low-grade attachment loss a significant negative correlation to species diversity in GCF samples. OPLS/O2PLS discriminant analysis revealed significant positive correlations to GCF sample group membership for species of genera Campylobacter, Leptotrichia, Prevotella, Dialister, Tannerella, HaemophilusFusobacterium, Eubacterium, and Actinomyces.

    Conclusions/Significance

    Among a variety of detected species those traditionally classified as Gram-negative anaerobes growing in mature subgingival biofilms were the main predictors for species diversity in GCF samples as well as responsible for distinguishing GCF samples from PP samples. GCF bacteria may provide new prospects for studying dynamic properties of subgingival biofilms.

    #15207
    Drsumitra
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