The gingival crevicular fluid (GCF) contains various biomarkers, such as interleukin (IL)-1β, IL-6, IL-8, tumor necrosis factor-α (TNF-α), and IL-10, among others. These cytokines 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. The aim of this study was to determine the levels of IL-1β, IL-6, IL-8, TNF-α, IL-10 and PTX3 in GCF from diseased and healthy sites in patients with chronic periodontitis. Cross-sectional clinical data were obtained from 50 patients with chronic periodontitis. 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. Mean clinical parameters were significantly higher at diseased sites (P < 0.01) 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 (P < 0.01) than in healthy sites. There were strong correlations between PTX3 or IL-1β and periodontal status. These results suggest that GCF PTX3 levels might be useful as a diagnostic marker for periodontal disease.

The shift from a healing abutment to a permanent abutment resulted in the establishment of a transmucosal attachment, the dimension and quality of which did not differ from those of the mucosal barrier formed to a permanent abutment placed during a second-stage surgery.

In the present investigation, the preparatory phase established a situation with minimal gingival inflammation and close to zero amounts of dental plaque. The Day 0 plaque samples exhibited high proportions of Actinomyces species. During the 4 days of no oral hygiene, there was a small increase in total numbers of organisms as well as a modest increase in the proportion of "disease-associated" taxa such as species of the "orange complex" species.

Periodontal disease is a common chronic inflammatory and infectious disease that is caused by an oral biofilm-mediated microbial dysbiosis that is predominantly comprised of anaerobic gram-negative bacteria, namely periodontopathic bacteria. 1,2 These biofilms are a continually renewing storehouse of lipopolysaccharide and other microbial molecules that are derived from the resident gram-negative bacteria. Biofilm components have ready access to the periodontal tissues and host circulation. Microbial challengesThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

The daily use of chlorhexidine as an adjunct to mechanical tooth cleaning markedly reduced the number of microorganisms that could be detected in saliva. The number of salivary bacteria may have influenced the amount of plaque that formed during an early phase of no oral hygiene.

Habitat is critical in controlling the bacterial composition of the dental biofilm. The microbiota will tend to go back to the one that is characteristic of a given subject, once chemical antimicrobial means are withdrawn.

Periodontal disease is assessed and its progression is determined via observations on a site-by-site basis. Periodontal data are complex and structured in multiple levels; thus, applying a summary statistical approach (i.e., the mean) for site-level evaluations results in loss of information. Previous studies have shown the availability of mixed effects modeling. However, clinically beneficial information on the progression of periodontal disease during the follow-up period is not available.We conducted a multicenter prospective cohort study. Using mixed effects modeling, we analyzed 18,834 sites distributed on 3,139 teeth in 124 patients, and data were collected 5 times over a 24-month follow-up period. The change in the clinical attachment level (CAL) was used as the outcome variable. The CAL at baseline was an important determinant of the CAL changes, which varied widely according to the tooth surface. The salivary levels of periodontal pathogens, such as Porphyromonas gingivalis and Aggregatibacter actinomycetemcomitans, were affected by CAL progression. “Linear”- and “burst”-type patterns of CAL progression occurred simultaneously within the same patient. More than half of the teeth that presented burst-type progression sites also presented linear-type progression sites, and most of the progressions were of the linear type. Maxillary premolars and anterior teeth tended to show burst-type progression. The parameters identified in this study may guide practitioners in determining the type and extent of treatment needed at the site and patient levels. In addition, these results show that prior hypotheses concerning "burst" and "linear" theories are not valid.

It is suggested that the combination of P. gingivalis ratio in saliva and serum IgG titers against P. gingivalis may be associated with the progression of periodontitis.