Host-derived biomarkers at teeth and implants in partially edentulous patients. A 10-year retrospective study.

OBJECTIVES: To assess a selection of host-derived biomarkers in peri-implant sulcus fluid (PISF) and gingival crevicular fluid (GCF) from adjacent teeth 10 years following implant placement. MATERIAL AND METHODS: Peri-implant sulcus fluid and GCF samples obtained from the deepest sites of 504 implants and 493 adjacent teeth were analysed for levels of interleukin (IL)-1ß, matrix metalloproteinase (MMP)-3, MMP-8, MMP-1, and MMP-1 bound to tissue inhibitor of MMP (TIMP)-1 (MMP-1/TIMP-1) by enzyme-linked immunosorbent assay (ELISA) technique. RESULTS: Overall, MMP-8 was detected in 90% of the sites. In more than 50% of the sites, IL-1ß was identified while in 30% of the sites MMP-1, MMP-1/TIMP-1 and MMP-3 were found over the detection level. Increased biomarkers levels from PISF and GCF were positively correlated (r = 0.375-0.702; P < 0.001). However, no qualitative and quantitative differences were found between PISF and GCF. The levels of MMP-1 were negatively correlated with those of MMP-1/TIMP-1 at implants (r = -0.644; P < 0.001). Median MMP-1 levels at implants were high (5.17 pg/site) in subjects with severe chronic periodontitis and low in patients with mild-to-moderate chronic periodontitis (0 pg/site; P = 0.026) or gingivitis (0 pg/site; P = 0.034). Levels of IL-1ß were found to be different in GCF according to the periodontal conditions (P = 0.001) with the highest level found in mild-to-moderate periodontitis (6.2 pg/site). Clinical attachment levels at implants demonstrated an inverse correlation with MMP-1/TIMP-1 (r = -0.147; P = 0.001). CONCLUSIONS: Increased levels of MMP-8 and IL-1ß in PISF or GCF may be associated with inflammation around teeth and implants while lower levels of MMP-1/TIMP-1 may be an indicator of disease progression around implants.

Does peri-implant bone loss affect the LL-37 and proteinase 3 levels in peri-implant sulcus fluid?

BACKGROUND: Inactive human cathelicidin antimicrobial peptide is present in neutrophils, and proteinase 3 activates this peptide by producing active LL-37 peptide. LL-37 acts as a defensive peptide in the oral tissues. In the present study, the aim was to evaluate LL-37 and proteinase 3 levels in peri-implant sulcus fluid (PISF) in implants with and without peri-implantitis. METHODS: Patients who simultaneously had dental implants with peri-implantitis and without peri-implantitis were included in the study. Forty-four samples with peri-implantitis and 34 samples without peri-implantitis from 16 patients were obtained. Intraoral evaluations such as pocket depth, modified sulcus bleeding index, and modified plaque index were noted. Enzyme-linked immunosorbent assay was used for the evaluation of PISF LL-37 and proteinase 3 levels. RESULTS: PISF volume was significantly increased in the implants with peri-implantitis than those without peri-implantitis (p < 0.05). No difference was present between PISF LL-37 and proteinase 3 total amounts between the implants with and without peri-implantitis (p > 0.05). Pocket depths and PISF LL-37 and proteinase 3 levels were not correlated in the groups (p > 0.05). CONCLUSIONS: PISF volume might be increased in response to peri-implant bone destruction. However, peri-implant tissue destruction caused by peri-implantitis does not seem to affect PISF LL-37 and proteinase 3 levels.

Evaluation of FGF-23 and 25(OH)D3 levels in peri-implant sulcus fluid in peri-implant health and diseases.

BACKGROUND: There are limited studies to date investigating vitamin D and fibroblast growth factor (FGF)-23 in different peri-implant conditions. PURPOSE: To evaluate the peri-implant sulcus fluid (PISF) FGF-23 and 25-hydroxy-vitamin D3 (25(OH)D3 ) levels in peri-implant health and diseases. MATERIALS AND METHODS: A total of 90 dental implant sites (peri-implant healthy group [n = 30], peri-implant mucositis group [n = 30], and peri-implantitis group [n = 30]) in 53 participants were included in the study. Probing depth (PD), clinical attachment level (CAL), suppuration (S), modified plaque index (mPI), gingival index (GI), modified sulcus bleeding index (mSBI), and keratinized mucosa width (KMW) were recorded as clinical parameters, and PISF samples were obtained. FGF-23 and 25(OH)D3 levels were analyzed by enzyme-linked immunosorbent assay. RESULTS: There were no statistically significant differences in FGF-23 concentrations among the groups (P > .05). The 25(OH)D3 concentration was significantly lower in peri-implantitis group compared with the other two groups (P < .05). The mean total amount of FGF-23 in the peri-implantitis group was significantly higher than the peri-implant healthy group whereas 25(OH)D3 total amount was significantly lower in the peri-implantitis group than the peri-implant healthy group. The 25(OH)D3 concentration was significantly negatively correlated with CAL, PD, mPI, S, GI, and mSBI and statistically significant relationship was found between FGF-23 total amount and these clinical parameters (P < .05). There was a negligible positive correlation between 25(OH)D3 and FGF-23 concentrations (τ = 0.169; P = .018). CONCLUSION: Within the limitations of this study, it can be concluded that FGF-23 and vitamin D seems to affect peri-implant bone health, and further studies are needed to explain the association between FGF-23 and 25(OH)D3 in peri-implant conditions.

Volumetric Analysis of Gingival Crevicular Fluid and Peri-Implant Sulcus Fluid in Healthy and Diseased Sites: A Cross-Sectional Split-Mouth Pilot Study.

BACKGROUND: Researchers have recently drawn attention to the analysis of gingival crevicular fluid (GCF) and peri-implant sulcus fluid (PISF) for the implementation of the diagnosis of periodontal and peri-implant disease. Nevertheless, the measurements of volume and biomarkers concentration can be critically biased when data collected from studies with parallel group design are compared, given the technical difficulties, methodological variables, as well as the variability of crevicular fluid characteristics among different individuals. OBJECTIVE: The aim of the present study was to assess the GCF and PISF volumes in healthy and diseased sites belonging to the same patient. METHOD: Ten patients presenting a periodontally healthy tooth, a tooth with periodontitis, an implant with healthy peri-implant tissues and an implant with peri-implantitis were enrolled. Samples of GCF and PISF were collected from each site of interest and their volume measured with a Periotron 8000 device. Non-parametric statistical analysis was performed to test the significance of the differences in GCF and PISF volumes between i) sites of teeth and dental implants with the same condition of health or disease and ii) healthy and diseased sites of both teeth and dental implants subgroups. The correlation between probing pocket depth (PPD) and fluid production was also tested (p<0.05). RESULTS: Healthy periodontal and peri-implant tissues produced comparable amounts of fluid that was significantly lower than in diseased sites (p<0.05). In the presence of diagnosed disease, the volumes of GCF and PISF were similar, too. The correlation between PPD and fluid production was significant only in healthy sites (PPD/GCF, ρ=0.890, p<0.001; PPD/PISF, ρ=0.810; p<0.005). CONCLUSION: The periodontal and peri-implant tissues behaved similarly in terms of fluid production in condition of both health and active disease.

Myeloperoxidase level around dental implants as an indicator of an inflammatory process.

AIM: Myeloperoxidase (MPO) has been widely used as an inflammatory marker of both acute and chronic conditions. The aim of the present study was to analyze MPO found in the peri-implant sulcus fluid of implants (PISF) and gingival cervicular fluid (GCF) of natural teeth in healthy or diseased states. MATERIAL AND METHODS: A total of 107 dental implant sites, either healthy/noninflamed, inflamed or affected by periodontitis, were classified and GCF/PISF samples were obtained. GCF/PISF MPO was spectrophotometrically determined. RESULTS: Both the GCF and the PISF volumes exhibited a gradual increase with gingival inflammation (P < 0.05). PISF from inflamed sites (P = 0.0001) and GCF from the gingivitis and periodontitis sites showed significantly higher total MPO levels (P < 0.05) in comparison with the noninflamed sites. The volumetric similarities of PISF and GCF in terms of response to inflammation were seen in the present study. However, some differences in PISF and GCF were observed. CONCLUSION: PISF may be suggested to have a considerable diagnostic potential as it exhibits the biologic changes around load-bearing endosseous dental implants.