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Background: Peri‐implant mucositis (PIM) is a pathological precursor of peri‐implantitis, but its pattern of conversion to peri‐implantitis is unclear and complicated to diagnose clinically, while none of the available protocols yield complete disease resolution. The aim of this study was the evaluation of PIM responsiveness to standard anti‐infective mechanical treatment (AIMT) at clinical and biomarker levels, and estimation of the diagnostic capacity of bone markers as surrogate endpoints and predictors. Methods: Systemically healthy outpatients presenting one implant exhibiting clinical signs of inflammation confined within the soft tissue (PIM) and one healthy control (HC) implant at a non‐adjacent position were included. Clinical parameters and peri‐implant crevicular fluid samples were collected baseline and 6 months following mechanical therapy, to assess the levels of RANKL, OPG, and IGFBP2. PIM clustering was performed using machine learning algorithms. Results: Overall, 38 patients met the inclusion criteria. Therapy resulted in the reduction of all clinical and biological indicators, but respective values remained significantly higher compared to HC. Clinical examination noted 30% disease resolution at the 6‐month follow‐up, while 43% showed no active bone resorption. OPG showed positive prognostic value for treatment outcome, while the clustering based on active bone resorption did not differ in terms of therapeutic effectiveness. Conclusion: AIMT is effective in reducing the clinical and biological indicators of PIM, but complete clinical resolution was achieved in only 30% of the cases. Around one third of PIM patients exhibited active bone resorption bellow clinical detectability that was not associated with disease progression and poor treatment responsiveness. [ABSTRACT FROM AUTHOR]

Purpose: To investigate whether polymorphisms of cluster of differentiation 14 (CD14), tumor necrosis factor alpha (TNFα), interleukin (IL)6, IL10, and IL1ra genes are associated with the risk of peri-implantitis susceptibility in patients with dental implants in the Serbian population. Materials and Methods: Isolated DNA from the blood was used for IL10-1082, TNFα-308, IL6-174, CD14-159, and interleukin 1 receptor antagonist (IL1ra) genotyping using polymerase chain reaction (PCR)-based methodology. Clinical parameters included: peri-implant pocket depth (PPD), Plaque Index (PI), Gingival Index (GI), bleeding on probing (BOP), and radiologic bone loss. Results: The study included 98 patients with dental implants in function for at least 1 year, divided into peri-implantitis (34) and healthy peri-implant tissue (64) groups. The percentage distribution of smokers was significantly different between patients who developed periimplantitis and patients with healthy peri-implant tissue (71% vs 42%, respectively) and associated with increased peri-implantitis risk (OR: 3.289, 95% CI: 1.352 to 8.001; P = .007). A positive history of periodontitis was more frequent in the peri-implantitis group (62%) than in the healthy peri-implant tissue (20%) group and associated with increased peri-implantitis risk (OR: 6.337, 95% CI: 2.522 to 15.927; P = .0001). Frequencies of CD14-159, TNFα-308, IL10-1082, and IL6-174 genotypes were significantly different between patients with and without peri-implantitis. However, logistic regression revealed only TNFα-308 polymorphic GA/AA genotypes (OR: 8.890, 95% CI: 2.15 to 36.7; P = .003) and smoking (OR: 6.2, 95% CI: 1.44 to 26.7; P = .014) as independent factors associated with increased peri-implantitis risk, while CD14-159 polymorphic CT/TT genotypes were associated with decreased risk for peri-implantitis (OR: 0.059, 95% CI: 0.009 to 0.355; P = .002). Conclusion: The findings suggest that smoking and the presence of TNFα-308 GA/AA genotypes may increase the risk for peri-implantitis, while CD14-159 polymorphic CT/TT genotypes decrease the risk. The results also indicate significant association of CD14-159, TNFα-308, and IL6-174 genotypes and clinical parameters in the Serbian population. However, future studies in larger patient groups are necessary to confirm these observations. [ABSTRACT FROM AUTHOR]

Objectives: To identify titanium particles (TPs) in biopsy specimens harvested from peri‐implantitis lesions and secondarily to study the histopathological characteristics in peri‐implantitis compared to periodontitis, in order to evaluate whether the presence of TPs could alter respective inflammatory patterns. Material and methods: Biopsies containing granulation tissue were harvested during routine surgical treatment in 39 peri‐implantitis cases and 35 periodontitis controls. Serial sections were obtained using titanium‐free microtome blades. The first and last sections of the peri‐implantitis specimens were used for identification of TPs by scanning electron microscopy coupled with dispersive X‐ray spectrometry. Intermediate sections and periodontitis specimens were processed for descriptive histological study using haematoxylin–eosin staining and for immunohistochemical analysis using CD68, IL‐6, Nf‐kB and VEGF markers. Results: TPs were identified in all peri‐implantitis specimens as free metal bodies interspersed within granulation tissue. However, presence of macrophages or multinucleated giant cells engulfing the TPs were not identified in any specimen. Peri‐implantitis granulations were characterized by a chronic inflammatory infiltrate rich in neutrophils. About half of peri‐implantitis patients exhibited a subacute infiltrate characterized with lymphocytes interweaved with neutrophils and eosinophils. When compared to periodontitis, peri‐implantitis tissues showed higher proportions of macrophages and a more intense neovascularization, based on significantly higher expression of CD68 and VEGF respectively. Conclusion: TPs were identified in all peri‐implantitis specimens, but without evidencing any foreign body reaction suggestive for direct pathological effects of TPs. The peri‐implantitis granulation tissue was characterized by intense neovascularization and presence of a chronic inflammatory infiltrate dominated by plasma cells, neutrophils and macrophages. [ABSTRACT FROM AUTHOR]

Background: Study objectives were 1) to estimate diagnostic capacity of clinical parameters, receptor activator of nuclear factor kappa-B (RANKL) and osteoprotegerin (OPG) to diagnose healthy peri-implant condition (HI), peri-implant mucositis (PIM) and peri-implantitis (PIMP) by assessing respective diagnostic accuracy, sensitivity, specificity and diagnostic ranges 2) to develop personalized diagnostic model (PDM) for implant monitoring.Methods: Split-mouth study included 126 patients and 252 implants (HI = 126, PIM = 57, and PIMP = 69). RANKL and OPG concentrations were estimated in peri-implant crevicular fluid using enzyme-linked immunosorbent assay method and assessed with clinical parameters using routine statistics, while the diagnostic capacity of individual parameters and overall clinical diagnosis were estimated using classifying algorithms. PDM was developed using decision trees.Results: Bleeding on probing (BOP), plaque index, and probing depth (PD) were confirmed reliable discriminants between peri-implant health and disease, while increase in PD (PD > 4 mm) and suppuration were good discriminants amongst PIM/PIMP. Bone turnover markers (BTMs) demonstrated presence of bone resorption in PIM; between comparable diagnostic ranges PIM/PIMP, PIMP was clinically distinguished from PIM in about 60% of patients while 40% remained diagnosed as false negatives. PDM demonstrated highest diagnostic capacity (accuracy: 96.27%, sensitivity: 95.00%, specificity: 100%) and defined HI: BOP ≤0.25%; PIM: BOP >0.25%, PD ≤4.5 mm; PIMP: BOP >0.25%, PD >4.5 mm and RANKL ≤19.9 pg/site; PIM: BOP >0.25%, PD >4.5 mm, and RANKL >19.9 pg/site.Conclusions: BTMs demonstrated capacity to substantially improve clinical diagnosis of peri-implant conditions. Considering lack of difference in BTMs between PIM/PIMP and cluster of PIM with exceeding BTMs, a more refined definition of peri-implant conditions according to biological characteristics is required for further BTMs validation and appropriate PIMP management. [ABSTRACT FROM AUTHOR]

Peri-implant diseases are an emerging public health problem, and it's considered that limitations of standard diagnostics play the role herein. The study objective was the estimation of pathological bone resorption at clinical and biological level in patients with peri-implant mucositis (PIM) and peri-implantitis (PI) before and 6 months after standard treatment and to compare them with healthy controls (HC). The split-mouth interventional study included 60 patients affected with PIM or PI. Patients that also presented at least one more HC were enrolled in the study and underwent standard non-surgical and surgical treatment, respectively. Standard clinical parameters and soluble levels of RANKL were measured in peri-implant crevicular fluid baseline and 6 months following treatment. Clinical parameters and RANKL significantly decreased following treatment in PIM and PI. However, bleeding on probing and probing depth remained significantly increased when compared to HC. RANKL answered requests for biomarker of peri-implant diseases, its baseline levels were significantly increased in PIM and PI, they decreased following treatment and reached HC in peri-implantitis, while in PIM RANKL remained significantly increased. Presence of pathological bone resorption in patients lacked its clinical signs, and respective persistence following treatment suggest the need for biomarker-supported diagnosis for timely diagnosis of peri-implantitis and appropriate orientation of respective management strategies.