The human microbiome plays important roles in health, but when disrupted, these same indigenous microbes can cause disease. The composition of the microbiome changes during the transition from health to disease; however, these changes are often not conserved among patients. Since microbiome-associated diseases like periodontitis cause similar patient symptoms despite interpatient variability in microbial community composition, we hypothesized that human-associated microbial communities undergo conserved changes in metabolism during disease. Here, we used patient-matched healthy and diseased samples to compare gene expression of 160,000 genes in healthy and diseased periodontal communities. We show that health- and disease-associated communities exhibit defined differences in metabolism that are conserved between patients. In contrast, the metabolic gene expression of individual species was highly variable between patients. These results demonstrate that despite high interpatient variability in microbial composition, disease-associated communities display conserved metabolic profiles that are generally accomplished by a patient-specific cohort of microbes.

Salivary copy-counts of P. gingivalis, T. forsythia and P. intermedia appear to have the potential to identify the presence of periodontitis, whereas the salivary level of the other test infectious agents may possess little or no diagnostic utility. Longitudinal studies are warranted to determine the ability of salivary copy-counts of major periodontopathic bacteria to predict future periodontal breakdown.

Both techniques were effective for maxillary sinus augmentation, and after 6 months of healing, the addition of L-PRF in DBBM did not improve the amount of regenerated bone or the amount of the graft integrated into the newly formed bone under histological and histomorphometric evaluation.

The present findings suggest that OSAS may have an increasing effect on salivary IL-6 and IL-33 concentrations regardless of OSAS severity. Additional investigation is required to elucidate a potential bidirectional relationship between OSAS and periodontal disease.

Within the limits of this study, it may be suggested that elevated salivary and serum TNF-α, APRIL, and BAFF in patients with periodontitis may contribute to the dominance of B cells in periodontitis lesions. Moreover, higher levels in healthy smokers than non-smoking counterparts may play a role in detrimental effects of smoking on periodontal tissues.

Objectives: To assess salivary, serum biomarkers, and subgingival bacteria as putative candidates in the potential association between obstructive sleep apnea syndrome (OSAS) and periodontal disease. Materials and methods:Fifty-two patients were grouped according to the severity of OSAS: 13 participants served as controls, 17 patients had mild-to-moderate OSAS, and 22 severe OSAS. Serum, saliva, and subgingival plaque samples were collected, clinical periodontal parameters recorded. Salivary, serum concentrations of interleukin-6 (IL-6), tumour necrosis factor (TNF-α), osteoprotegerin, sRANKL, and apelin were analysed by enzyme-linked immunosorbent assay. Bacterial counts were determined by real-time QPCR on plaque microbial DNA preparations.Results: There was a significant change in the composition of microbes in plaque particularly in severe OSAS samples (p<0.01). Statistical analyses indicated significantly higher salivary IL-6 levels in both OSAS groups compared to controls (p<0.05). Salivary apelin levels were significantly higher in Serum levels of these biomarkers and salivary osteoprotegerin, sRANKL levels were similar in the study groups. The incidence and duration of apnea positively correlated with clinical periodontal parameters (p<0.05). Conclusion:OSAS appeared to alter the tested bacteria in plaque, correlate with increasing periodontal disease severity, have additive effect on salivary IL-6.Clinical relevance: OSAS is likely to interact with periodontal disease.

Salivary, serum matrix metalloproteinase-8 (MMP-8), tissue inhibitor of matrix metalloproteinases-1 (TIMP-1), neutrophil elastase (NE), and myeloperoxidase (MPO) levels were investigated in generalized chronic periodontitis (GCP), generalized aggressive periodontitis (GAgP), and healthy groups. Whole-mouth clinical periodontal measurements were recorded. Salivary, serum concentrations of MMP-8, MPO, TIMP-1, and NE were determined by immunofluorometric assay or ELISA in 18 patients with GCP, 23 patients with GAgP, 18 individuals with healthy periodontium. Patients in the GAgP group were younger than the other groups (p<0.05). The study groups were similar in gender, smoking status. Plaque index was higher in GCP than GAgP group (p<0.05). Biochemical data were similar in periodontitis groups. Salivary, serum MPO, and salivary NE concentrations were higher; TIMP-1 concentrations were lower in the periodontitis groups than the controls (p<0.05). The present data support a close relationship between salivary, serum protease content and clinical periodontal parameters in patients with generalized periodontitis.

Objective The aim of this study was to introduce a novel soft tissue thickness measurement method using cone beam computed tomography (CBCT) and to compare the new method with ultrasonic device applications and transgingival probing measurements. Methods Twenty‐five participants (12 female, 13 male, age range, 25‐51 years) were included the study. Soft tissue thickness in lateral incisor, canine, premolar, and molar regions were measured using transgingival probing (group T), ultrasonic device (group U), and CBCT scan measurements (group C). Differences and correlations between groups and agreement between measurement methods were evaluated. Results Soft tissue thickness was significantly lower in group U in premolar region, but was significantly higher in molar region compared with group C and group T (P < .05). There were significant positive correlations in lateral incisor and canine region, between group U and group C, in premolar region between group T and group C, and in molar region between group U and group C, and between group C and group T (P < .05). The highest agreement between measurement methods was evident between group T and group C. Conclusion Soft tissue thickness values in maxilla may differ depending on the measurement method and location of the measurement. Ultrasonic device, transgingival probing, and CBCT measures may not necessarily correlate in all locations. The high agreement between CBCT measurements and transgingival probing may suggest the newly introduced method as a promising technique for soft tissue thickness evaluation. Clinical Significance This study evaluated the relation between different soft tissue thickness measurement methods and demonstrated a novel method which can be used in any part of the mouth. The outcome also suggested that the measurement method and the location might affect the soft tissue thickness value obtained, and therefore might be important in clinical decision making.