OBJECTIVE: Periodontitis is a multifactorial disease that affects a wide range of populations. However, its pathogenesis remains unclear. miRNAs are now considered potential diagnostic markers for many inflammatory diseases. Thus, the aim of this study was to assess the expression of microRNA-223(miRNA-223) and microRNA-214 (miRNA-214) in gingival crevicular fluid (GCF) of smoker and nonsmoker with periodontitis.
METHODS: We conducted a prospective study among 42 participants: 14 healthy controls, 14 nonsmoker periodontitis participants, and 14 smokers with periodontitis. Eligibility criteria for inclusion were consecutive adults, aged 20-60 years, with stage III periodontitis grade B/C and no systemic diseases. All consenting participants had gingival crevicular fluid samples collected after diagnosis to assess miRNA-214 and -223 by quantitative real-time polymerase chain reaction assay.
RESULTS: ROC curve analyses for the non-smoker periodontitis group showed that miR-214 as a predictor in comparison to miR-223 had higher sensitivity [92.86%-64.29%], same specificity [100%], and a significantly higher area under the curve [0.974-0.796] respectively (p = 0.036). As for the smoker periodontitis group, a ROC curve with miR-214 as predictor in comparison to miR-223 had higher sensitivity [100%-71.43%], same specificity [100%], and a non-significantly higher area under the curve [1-0.872], respectively (p = 0.059).
CONCLUSIONS: Both miRNA-214 and 223 are reliable potential diagnostic markers for periodontitis, with miRNA-214 being more accurate for smokers with periodontitis.
CONCLUSIONS: Both miRNA-214 and 223 could be considered for potential chair-side diagnostics, by simply collecting GCF detecting the disease in its first steps and aid in preventing unrepairable damage.

UNASSIGNED: This study evaluated the gingival crevicular fluid (GCF) and Peri- implant crevicular fluid (PICF) concentrations of interleukin-1 beta (IL-1β), interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α) and active metalloproteinase-8 (a-MMP-8) in sites with healthy conditions vs. sites affected by periodontitis (PER) and peri-implantitis (PIM).
UNASSIGNED: Periodontally healthy (PH) sites with PER, sites with peri-implant health (PIH), and sites with PIM were investigated intra-individually, according to the inclusion criteria of each group. Probing pocket depth (PPD), plaque index, gingival index, and the presence or absence of bleeding on probing (BoP) were evaluated. In GCF and PICF samples, IL-1β, IL-6, and TNF-α were quantified by ELISA Duoset® kit in combination with Ultramark® micro-ELISA digital reader; a-MMP8 concentration was analyzed by a chairside test (Perio/ImplantSafe®) in combination with a digital reader (ORALyzer®).
UNASSIGNED: The concentrations of IL-6 and IL-1β, TNF-α, and a-MMP-8 were significantly higher in the PIM and PER sites compared to healthy sites (P<0.05). Significantly higher concentrations of IL-1β and a-MMP-8 were found in PIM vs. PER sites (P<0.05), while the concentrations of IL-6 and TNF-α did not differ between the PIM and PER groups (P>0.05).
UNASSIGNED: aMMP-8, IL-6, IL-1β, and TNF-α presented higher GCF/PICF concentrations in diseased periodontal and peri-implant sites. However, only the concentrations of IL-1β and a-MMP-8 were significantly higher in PIM than in PER sites.

OBJECTIVE: This study aimed to explore the effect of nonsurgical periodontal treatment on Galectin-1 and -3 GCF levels in gingivitis and periodontitis stage III compared to periodontally healthy individuals, to determine whether they could serve as diagnostic markers / therapeutic targets for periodontitis and revealing their possible role in periodontal disease.
METHODS: Forty-five systemically healthy participants were included and equally subdivided into three groups: gingivitis, periodontitis (stage III), and a periodontally healthy control group. The clinical parameters were recorded. Galectin-1 and -3 GCF levels were evaluated (before and after non-surgical treatment for periodontitis) using an enzyme linked immune-sorbent assay (ELISA) kit. Receiver operating characteristic (ROC) curve was performed to reveal sensitivity, specificity, predictive value, and diagnostic accuracy of both markers.
RESULTS: The study showed statistical significance between different groups regarding Galectin-3 with higher values in periodontitis and the lowest values in healthy control. Also, Galectin-1 was significantly higher in the periodontitis/gingivitis groups than in the control group. Moreover, non-surgical periodontal treatment in periodontitis patients caused a statistical reduction in clinical parameters and biomarkers. ROC analysis revealed excellent diagnostic ability of both biomarkers in discriminating periodontitis/gingivitis against healthy individuals (100% diagnostic accuracy for Galectin-1 and 93% for Galectin-3, AUC > 0.9) and acceptable diagnostic ability between periodontitis participants against gingivitis (73% diagnostic accuracy for Gal-1 and 80% for Gal-3, AUC > 0.7).
CONCLUSIONS: Both Galectin-1 and Galectin-3 seem to have outstanding diagnostic accuracy for the identification of periodontal disease, an acceptable ability to measure periodontal disease activity and the severity of inflammatory status. Additionally, they could serve as therapeutic targets to monitor treatment efficiency.
BACKGROUND: GOV REGISTRATION NUMBER: (NCT06038812).

Background and Objectives: Periodontitis is marked by the destruction of alveolar bone. Sclerostin (SOST) and dickkopf-1 (DKK-1) act as inhibitors of the Wingless-type (Wnt) signaling pathway, a key regulator of bone metabolism. Recent studies have suggested that statins play a role in bone resorption and formation by influencing Wnt signaling. The aim of this study was to determine the levels of SOST and DKK-1 in periodontal patients with and without peroral statins treatment in their therapy. Materials and Methods: A total of 79 patients with diagnosed periodontitis were divided into two groups: 39 patients on statin therapy (SP group) and 40 patients without statin therapy as a control group (P group). The periodontal clinical examination probing (pocket) depth (PD) and gingival recession (GR) were measured, and approximal plaque was detected, while vertical and horizontal bone resorption was measured using a panoramic radiograph image. Clinical attachment loss (CAL) values were calculated using PD and GR values. Gingival crevicular fluid (GCF) was collected and used for measuring SOST and DKK-1 levels. A questionnaire was used to assess lifestyle habits and statin intake. Patients\' medical records were used to obtain biochemical parameters. Results: There was no significant difference in sclerostin concentration between the SP and P group. DKK-1 values were significantly higher in the SP group compared to the control group (p = 0.04). Also, PD (p = 0.001) and GR (p = 0.03) were significantly higher in the SP group. The level of DKK-1 had a positive relationship with the PD, the greater the PD, the higher the level of DKK-1 (Rho = 0.350), while there was no significant association with other parameters. Conclusions: Peroral statins in periodontal patients are associated with GCF levels of DKK-1 but not with sclerostin levels.

OBJECTIVE: Periodontitis is an inflammatory disease that destroys periodontal tissues. Interleukin-20 (IL-20), on the other hand, is known as a potent angiogenic, chemotactic, and pro-inflammatory cytokine associated with various chronic inflammatory disorders. IL-20 has a significant role in the regulation of osteoclastogenesis and osteoblastogenesis. This study aimed to evaluate the effect of IL-20 on periodontal destruction.
METHODS: In this study, a total of 60 participants were included, 30 of whom were systemically and periodontally healthy (control group), and 30 were systemically healthy but had periodontitis (periodontitis group). Gingival crevicular fluid (GCF) and serum samples were collected from the participants for biochemical analysis. Enzyme-linked immunosorbent assay was used to determine the levels of IL-20, tumor necrosis factor (TNF)-α, IL1β/IL-10, RANKL/osteoprotegerin (OPG), and matrix metalloproteinase-8 (MMP8). For statistical analysis, the independent t-test, Pearson correlation coefficients, and the Chi-square test were used.
RESULTS: GCF IL-20, RANKL, RANKL/OPG, serum IL-20, RANKL, RANKL/OPG, MMP-8, TNF-α, IL-1B, and IL-1β/IL-10 values were found to be statistically significantly higher in the periodontitis group than in the control group. GCF OPG and serum IL-10 values were found to be statistically significantly higher in the control group than in the periodontitis group. No statistically significant difference was observed between the groups in serum OPG values. A statistically significantly positive correlation was observed between serum IL-20 value and serum RANKL, RANKL/OPG, MMP-8, TNF-α, IL-1β values, and periodontal clinical parameters. The ROC curves showed: AUC = 0.788 for GCF IL-20, and AUC = 1.000 for serum IL-20.
CONCLUSIONS: According to the results of the study, IL-20 was found to be associated with periodontitis. The role of IL-20 in periodontal pathogenesis is related to osteoclastogenesis and collagen degradation. It is conceivable that IL-20 may increase bone destruction by both affecting the RANKL/OPG ratio and proinflammatory cytokines.

Few studies have investigated the mucosal immune response after BNT162b2-booster vaccination in individuals with periodontitis. In this study, we evaluated the persistence of IgA anti-SARS-CoV-2-N-protein in saliva and gingival crevicular fluid (GCF) of patients with periodontitis for at least six months post BNT162b2 vaccine booster. We included patients with moderate (n = 7) and severe (n = 7) periodontitis and participants without periodontitis (n = 7) as controls. The Bradford method measured the protein concentrations in the samples, and an enzyme-linked immunosorbent assay of the SARS-CoV-2 N protein was performed to analyze the targeted IgA level. For the tested SARS-CoV-2 antigen (N-protein), IgA levels in saliva and GCF showed a strong and significant correlation. Therefore, in patients with moderate or severe periodontitis, saliva and GCF can provide information regarding the IgA response against SARS-CoV-2-N-protein. The neutralizing activity of IgA against SARS-CoV-2 was not investigated in this study, necessitating further research.

Background Periodontitis, a chronic inflammatory disease, is triggered by the plaque biofilm culminating in periodontal attachment loss, bone loss, and tooth loss. Diabetes, a globally prevalent disease, causes an increased inflammatory response to the microflora associated with periodontitis. It has been observed that the link between these two diseases is bidirectional. Tissue repair is impaired in diabetic patients with periodontitis. Local drug delivery systems selectively target the inflamed sites contrary to systemic antibiotics which lead to resistance and many other adverse effects. Probiotics aid in the growth of beneficial microorganisms and have immunomodulatory effects on the host. Tetracyclines have anti-collagenase properties and reduce the bacterial load, curbing the progression of periodontitis. Interleukin (IL) 1β, a strong marker of periodontal tissue destruction, plays a pivotal role in inflammation, immune regulation, and bone resorption in periodontitis. This study evaluated and compared the benefits of probiotics and tetracycline fibers when used as adjunctive tools after scaling and root planing (SRP) on IL1β levels in type 2 diabetic patients with periodontitis. Methodology A total of 36 patients participated in this study. Group I included 12 patients with periodontitis and uncontrolled diabetes (HbA1c levels >7). After SRP, six patients received tetracycline fibers (IA), and six patients received probiotics (1B) as locally delivered agents. Group II included 12 patients with periodontitis and diabetes under control (HbA1c levels 6-7%). After SRP, six patients received tetracycline fibers (IIA), and six patients received probiotics (IIB) as locally delivered drugs (test groups). Group III, the control group, included 12 patients with periodontitis only, wherein a placebo was used as a local drug delivery (LDD) after SRP. The clinical parameters, such as plaque index, gingival index, and probing pocket depth, were recorded preoperatively and at eight and 12 weeks after non-surgical periodontal therapy. IL1β levels were assessed by enzyme-linked immunosorbent assay at baseline and six weeks after SRP. Results On intra and intergroup comparison, all groups showed improvement in both the clinical and biochemical parameters but significant results were seen in Group IIA (p < 0.01) when compared to the other groups. Conclusions Group II (well-controlled diabetics) performed significantly better than the other groups, which was followed by Group III. The use of LDDs as adjunctive tools after SRP was not beneficial in Group I (uncontrolled diabetics).

OBJECTIVE: To explore the existing salivary, gingival crevicular fluid (GCF), blood, and serum biomarkers associated with grade C molar-incisor pattern (C/MIP) periodontitis in systemically healthy children and young adults.
METHODS: Cross-sectional, case-control, and cohort studies on stage III grade C periodontitis or former equivalent diagnosis with analysis of molecular biomarkers in saliva, GCF, blood, or serum were retrieved from six databases and screened based on the eligibility criteria. The risk of bias in included studies was evaluated. Meta-analysis was planned for biomarkers assessed using the same detection methods and sample type in at least two papers.
RESULTS: Out of 5621 studies identified at initial screening, 28 papers were included in the qualitative analysis of which 2 were eligible for meta-analysis for IgG in serum samples. Eighty-seven biomarkers were assessed with the majority being higher in cases than in controls. Only the meta-analysis of total serum IgG with low heterogeneity value revealed a significant increase in its levels in C/MIPs compared to controls (standardised mean difference: 1.08; 95% CI: 0.76, 1.40).
CONCLUSIONS: There is a paucity of data on biomarkers associated with molar-incisor pattern periodontitis. Although serum IgG levels are raised, other more specific biomarkers in saliva, GCF, and blood/serum may be promising but require further investigation.

UNASSIGNED: Periodontal disease is a chronic inflammatory condition of the periodontium. It is the main cause of tooth loss and is considered one of the biggest threats to the oral cavity. Tobacco smoking has long been associated with increased risk for periodontal, peri-implant, and other medical diseases.
UNASSIGNED: To evaluate the effect of smoking and its level on periodontal clinical parameters (probing depth (PD), plaque index (PI), gingival index (GI), clinical attachment level (CAL), bleeding on probing (BOP), and the volume of gingival crevicular fluid (GCF)) in healthy and chronic periodontitis individuals.
UNASSIGNED: A total of 160 participants were recruited in the present study, who were equally divided into the following five groups: healthy controls (C), healthy smokers (HS), nonsmokers with periodontitis (PNS), light smokers with periodontitis (PLS), and heavy smokers with periodontitis (PHS). GCF volume and periodontal clinical parameters (PD, PI, GI, CAL, and BOP) were assessed for each participant and compared between the study groups.
UNASSIGNED: There was a statistically significant difference in PD, PI, GI, CAL, and BOP between healthy and periodontitis patients (p < 0.001). The mean PI, PD, and CAL were considerably higher in heavy smokers than light smokers and non-smokers (P < 0.001). In contrast, the mean GI and BOP were significantly lower in heavy smokers than in light smokers and non-smokers. There was a statistically significant difference in GCF between healthy and periodontitis patients (p < 0.001). The mean GCF readings were higher in heavy smokers than light smokers or non-smokers (P < 0.001).
UNASSIGNED: The present study confirms the influence of smoking on periodontal clinical parameters. Smoking was associated with increased PD, PI, CAL, and GCF readings; however, GI and BOP were decreased in smokers. The number of cigarettes played a key role in the volume of GCF and periodontal clinical parameters.

The aim of the study was to assess the effect of non-surgical periodontal therapy (NSPT) on periodontal and cardiac parameters as well as on the expression of calprotectin and periostin levels in periodontitis patients with and without coronary artery disease (CAD).
Ninety subjects were categorised into three groups: Group H: periodontally and systemically healthy subjects, Group P: stage III grade B periodontitis subjects with no associated systemic diseases and Group P + CAD: stage III grade B periodontitis subjects diagnosed with CAD. Demographic, periodontal and cardiac parameters were recorded at baseline (0 day) and on the 180th day after NSPT. Gingival crevicular fluid was collected from all participants at baseline (0 day) and after the 180th day. Calprotectin and periostin expression were reassessed.
A significant increase in the levels of calprotectin (34.05 ± 11.72) was seen at baseline in the P + CAD group, whereas on the contrary, a decreased periostin (1.59 ± 0.41) was also noted at baseline. The study also showed a significant improvement in periodontal and cardiac parameters on the 180th day following NSPT.
Detection of calprotectin and periostin expression in GCF samples could represent a link to the association of periodontitis and CAD.