Evaluation of a Novel Immunochromatographic Device for Detecting Porphyromonas gingivalis in Patients with Periodontal Disease.

Porphyromonas gingivalis is the most pathogenic periodontal bacterium in the world. Recently, P. gingivalis has been considered responsible for dysbiosis during the development of periodontitis. This study aimed to evaluate a novel immunochromatographic device using monoclonal antibodies against P. gingivalis in subgingival plaques. A total of 72 patients with chronic periodontitis and 53 periodontally healthy volunteers underwent clinical and microbiological examinations. Subgingival plaque samples were analyzed for the presence of P. gingivalis and compared using real-time polymerase chain reaction (PCR). In the periodontitis group, a significant positive correlation was observed between the test device scores and the real-time PCR results. The specificity, positive predictive value, negative predictive value, and accuracy of the test device for P. gingivalis, as determined by real-time PCR, were 98%, 94%, 89%, and 90%, respectively. There were significant differences in bacterial counts by real-time PCR among the groups with different ranges of device scores. Additionally, there was a significant positive correlation between the device scores for P. gingivalis and periodontal parameters. These results suggest that this novel immunochromatographic device can be effectively used for rapid detection and semi-quantification of P. gingivalis in subgingival plaques.

[Clinic-X-ray characteristics of periodontal disease in elderly patients.]

The significant prevalence of periodontal diseases in elderly patients makes the research relevant. By now, the issues of complex clinical and radiological semiotics of generalized periodontitis using high-tech research methods is not sufficiently studied. The research addressed the clinical picture and three-dimensional computed tomographic semiotics of severe chronic generalized periodontitis focusing 25 elderly patients with severe chronic generalized periodontitis. It verified the necessity to use an organ-oriented program of multiplanar (volumetric) cone-beam computed tomography coupled with the analysis of the research results, as well as a mandatory analysis of densitometry indicators of the jaw bone tissue in diagnostically significant periodontal zones.

Immune infiltration and diagnostic value of immune-related genes in periodontitis using bioinformatics analysis.

BACKGROUND AND OBJECTIVES: Periodontitis, which is a chronic inflammatory periodontal disease resulting in destroyed periodontal tissue, is the leading cause of tooth loss in adults. Many studies have found that inflammatory immune responses are involved in the risk of periodontal tissue damage. Therefore, we analyzed the association between immunity and periodontitis using bioinformatics methods to further understand this disease. MATERIALS AND METHODS: First, the expression profiles of periodontitis and healthy samples were downloaded from the GEO database, including a training dataset GSE16134 and an external validation dataset GSE10334. Then, differentially expressed genes were identified using the limma package. Subsequently, immune cell infiltration was calculated by using the CIBERSORT algorithm. We further identified genes linking periodontitis and immunity from the ImmPort and DisGeNet databases. In addition, some of them were selected to construct a diagnostic model via a logistic stepwise regression analysis. RESULTS AND CONCLUSIONS: Two hundred sixty differentially expressed genes were identified and found to be involved in responses to bacterial and immune-related processes. Subsequently, immune cell infiltration analysis demonstrates significant differences in the abundance of most immune cells between periodontitis and healthy samples, especially in plasma cells. These results suggested that immunity doses play a non-negligible role in periodontitis. Twenty-one genes linking periodontitis and immunity were further identified. And nine hub genes of them were identified that may be key genes involved in the development of periodontitis. Gene ontology analyses showed that these genes are involved in response to molecules of bacterial origin, cell chemotaxis, and response to chemokines. In addition, three genes of them were selected to construct a diagnostic model. And its good diagnostic performance was demonstrated by the receiver operating characteristic curves, with an area under the curve of 0.9424 for the training dataset and 0.9244 for the external validation dataset.

Elucidation of common molecular diagnostic biomarkers between chronic periodontitis and Parkinson's disease via bioinformatics analyses.

BACKGROUND AND OBJECTIVES: Parkinson's disease (PD) and chronic periodontitis (CP) are both inflammatory diseases; a correlation between the two diseases has been reported, but the underlying mechanisms of this association have not been investigated. We investigated the common molecular mechanisms between PD and CP and the role of immune cells in the pathogenesis of them using bioinformatics analyses to elucidate the association between the two diseases. METHODS: We obtained gene expression data from the Gene Expression Omnibus (GEO) database: GSE10334, GSE16134, and GSE23586 for CP gingival samples and GSE20146 for PD brain samples. Subsequently, we conducted an enrichment analysis of the differentially expressed genes (DEGs) using the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analyses. Moreover, all DEGs were analysed for protein-transcription factor interactions and protein-immune cell co-expression. We constructed protein-transcription factor, protein-protein interaction (PPI), and protein-immune cell co-expression networks using the Cytoscape software. Moreover, we identified the hub genes and investigated them for potential diagnostic value. RESULTS AND CONCLUSION: We identified 99 DEGs in the three CP datasets, 520 DEGs in the PD dataset and found five common DEGs in the CP and PD datasets, namely CXCR4, CXCL8, CD19, RPTN, and SLC16A9. These common DEGs identified in our study may have a potential impact on disease pathogenesis through the involvement of CXCR4-CXCL8-CD19 protein-complexes in dendritic cells. Therefore, CD19, LCP2, CXCR4, and LYN could be used as target molecules for the clinical diagnosis of both diseases.

Diagnostic potential of miR-200 family members in gingival crevicular fluid for chronic periodontitis: correlation with clinical parameters and therapeutic implications.

OBJECTIVE: The purpose of this study was to evaluate the potential of miR-200 family members in gingival crevicular fluid (GCF) as diagnostic biomarkers for chronic periodontitis (CP), aiming to provide valuable insights for the early detection and management of the disease. METHODS: GSE89081 dataset profiled miRNAs in GCF derived from 5 healthy and 5 periodontitis was analyzed by GEO2R. Quantitative real-time PCR was used to quantify the expression levels of miR-200 family members (miR-200a-3p, miR-200a-5p, miR-200b-3p, miR-200b-5p, miR-200c-3p, miR-200c-5p, miR-141-3p, miR-141-5p, and miR-429) in the GCF samples from 103 CP patients and 113 healthy controls. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic potential of miR-200 family members in differentiating CP patients from healthy controls. RESULTS: By analyzing the GSE89081 dataset, miR-200a-5p, miR-200b-5p and miR-200c-5p were significantly upregulated in GCF of the CP patients compared to the healthy control. In this study, miR-200a-3p, miR-200a-5p, miR-200b-3p, miR-200b-5p, miR-200c-3p, miR-200c-5p were significantly increased in GCF of CP patients compared to the healthy control, while miR-141 and miR-429 did not show significant differences. MiR-200a, -200b and 200c had good diagnostic value, and when these miRNAs were combined, they demonstrated excellent diagnostic value for CP with an AUC of 0.997, sensitivity of 99.03%, and specificity of 98.23%. MiR-200a, -200b and 200c in GCF showed significant and positive correlation with plaque index (PI), gingival index (GI), bleeding on probing (BOP), clinical attachment level (CAL), and probing pocket depth (PPD). CONCLUSION: MiR-200a, -200b and 200c in GCF may serve as potential biomarkers for the early diagnosis of CP, which was correlated with clinical parameters, being therapeutic targets for CP.

Salivary Amylase and Mucin in Chronic Periodontitis: Pre- /Posttherapy.

AIM: The study aims to investigate the potential of salivary amylase as a reliable biochemical marker for assessing periodontal disease progression, establishing a potential correlation between salivary amylase levels and periodontal disease severity. MATERIALS AND METHODS: The study included 40 participants, aged 25-65, equally divided into a control and study group of 20 individuals each. Clinical parameters, such as oral hygiene index, gingival index, probing depth, and clinical attachment level were recorded. Saliva samples were collected and analyzed for amylase and mucin levels using a semi-auto analyzer and spectrophotometer, respectively. These clinical parameters and salivary biomarkers were evaluated before and after 45 days of phase I periodontal therapy. Statistical analysis, including independent samples t-test, paired samples t-test, and correlation analysis were performed to assess the treatment effectiveness and explore associations between clinical parameters and salivary biomarkers. RESULTS: The study group with chronic generalized periodontitis showed significantly higher salivary amylase (27022.5 ± 8598.9) and mucin levels (3258 ± 724.2) and worse clinical parameters than the control group at baseline. However, after phase I periodontal therapy, the study group exhibited reduced salivary biomarkers amylase (17924.0 ± 4703.6) and mucin (1828.45 ± 314.07) and improved clinical parameters, indicating the effectiveness of the treatment in enhancing periodontal health compared with the control group. Positive correlations were found between clinical parameters and salivary amylase/mucin levels both before and after therapy (p < 0.001). CONCLUSION: Salivary amylase and mucin levels hold promise as valuable biomarkers for diagnosing active periodontal disease and evaluating treatment outcomes after phase I therapy. CLINICAL SIGNIFICANCE: Salivary biomarker comparison offers a noninvasive diagnostic tool for periodontal disease, improving early detection and personalized treatment planning. Further research is required to validate its clinical value fully.

Evaluation of serum concentrations of hs-CRP and Hb in varying severities of chronic periodontitis.

CONTEXT: Chronic periodontitis patients exhibit elevations in serum concentrations of c-reactive protein (CRP). Also, periodontitis can potentially contribute to reduced haemoglobin (Hb) levels leading to anaemia of chronic disease (ACD). OBJECTIVE: To determine whether disease severity affect CRP and Hb levels in patients with chronic periodontitis. MATERIAL AND METHODS: Based on periodontitis severity, three groups of 50 subjects each were selected, who underwent screening for gingival index (GI), probing pocket depth (PPD), and clinical attachment level (CAL). Blood samples were taken to estimate the number of erythrocytes, mean corpuscular volume (MCV), packed cell volume (PCV), Hb concentration, mean corpuscular haemoglobin (MCH), mean corpuscular haemoglobin concentration (MCHC), and high sensitivity C-reactive protein (hs-CRP). RESULTS: Mean hs-CRP levels of 0.796, 2.238, 2.886 were found in mild, moderate, and severe periodontitis groups respectively with significant intergroup differences. The differences in haematological parameters other than MCV were not significant between groups. CONCLUSION: The possible systemic effects of periodontitis might be influenced by its severity, as evidenced by a corresponding change in the levels of systemic inflammatory markers like CRP.

Validity of a combination of periodontal pathogens and salivary biomarkers as predictors of periodontitis.

OBJECTIVE: Chronic periodontitis is caused by multiple risk factors. To predict chronic periodontitis in older people, we evaluated the association between a combination of major periodontal pathogens and salivary biomarkers and the presence of periodontitis. METHODS: Stimulated saliva samples were collected to analyze the prevalence of Porphyromonas gingivalis, Treponema denticola, Tannerella forsythia, and Prevotella intermedia, as well as four biomarkers: interleukin (IL)-1ß, IL-6, tumor necrosis factor-α (TNF-α), and prostaglandin E2 (PGE2). A total of 201 Japanese patients were recruited. Oral examinations ware performed to determine chronic periodontitis as measured by Community Periodontal Index. The sociodemographic and behavioral characteristics were also obtained, and the parameters were adjusted as potential confounders to employ statistical models. RESULTS: The odds ratio (OR) for the presence of P. gingivalis and the third tertile level of IL-1ß as compared with the absence of P. gingivalis and the lowest tertile of IL-1ß was highest in individuals with periodontitis (OR = 13.98; 95% confidence interval [CI] 3.87-50.52) with the best level (0.79) of area under the curve (AUC) based on the receiver operating characteristic curve. The OR for the presence of P. gingivalis and the third tertile of PGE2 was 7.76 (CI 1.89-31.91) with an AUC of 0.78. The coexistence of more than two periodontal bacteria and the third tertile of PGE2 was also strongly associated with chronic periodontitis (OR = 9.23, 95% CI 2.38-35.79) with an AUC of 0.76. CONCLUSIONS: The combined information of the presence of P. gingivalis in stimulated saliva, and higher levels of salivary IL-1ß may play a vital role in the detection and prediction of chronic periodontitis in older adults.

Salivary biomarkers for discriminating periodontitis in the presence of diabetes.

AIM: Salivary biomarkers can help in assessment of periodontitis; however, concentrations may be altered in the presence of diabetes. Hence, the ability of salivary biomarkers to discriminate periodontally healthy type II diabetics (T2DM) from T2DM who have periodontitis was examined. METHODS: Ninety-two participants (29 with T2DM with chronic periodontitis, DWP; 32 T2DM without chronic periodontitis, DWoP; and 31 Not Periodontitis, NP) provided saliva and clinical parameters of periodontal health were recorded. Salivary concentrations of interleukin (IL)-1ß, IL-6, matrix metalloproteinase-8 (MMP-8), macrophage inflammatory protein-1α (MIP-1α), adiponectin and resistin were measured by immunoassay. RESULTS: Salivary analyte concentrations for IL-1ß, MMP-8 and resistin correlated with clinical parameters of periodontitis, with MMP-8 demonstrating the strongest positive correlation with PD ≥5 mm (p < 0.0001). Periodontal health was reflected in salivary analyte concentrations by group, with concentrations of IL-1ß and MMP-8 showing significant associations with periodontitis (p ≤ 0.04) that increased in concentration from health to DWoP to DWP. Odds ratio (OR) analyses showed that MMP-8 discriminated periodontitis from NP (OR of 8.12; 95% CI: 1.01-65.33; p = 0.03) and in the presence of T2DM (DWP vs DWoP, OR = 5.09; 95% CI: 1.24-20.92; p = 0.03). CONCLUSION: Salivary MMP-8 and IL-1ß discriminate periodontitis in T2DM.

Metabolomic Evaluation of Chronic Periodontal Disease in Older Adults.

Periodontal disease is an infectious inflammatory disease related to the destruction of supporting tissues of the teeth, leading to a functional loss of the teeth. Inflammatory molecules present in the exudate are catalyzed and form different metabolites that can be identified and quantified. Thus, we evaluated the inflammatory exudate present in crevicular fluid to identify metabolic biological markers for diagnosing chronic periodontal disease in older adults. Research participants were selected from long-term institutions in Brazil. Participants were individuals aged 65 years or older, healthy, or with chronic periodontal disease. Gas chromatography/mass spectrometry was used to evaluate potential biomarkers in 120 crevicular fluid samples. We identified 969 metabolites in the individuals. Of these, 15 metabolites showed a variable importance with projection score > 1 and were associated with periodontal disease. Further analysis showed that among the 15 metabolites, two (5-aminovaleric acid and serine, 3TMS derivative) were found at higher concentrations in the crevicular fluid, indicating their potential diagnostic power for periodontal disease in older adults. Our findings indicated that some metabolites are present at high concentrations in the crevicular fluid in older adults with periodontal disease and can be used as biomarkers of periodontal disease.

ASSESSMENT OF CYTOGENETIC DAMAGE TO EXFOLIATED GINGIVAL CELLS IN PATIENTS WITH CHRONIC GENERALIZED PERIODONTITIS.

The aim of this cross-sectional study was to investigate the occurrence of chromosomal abnormalities through the frequency of micronuclei and other genomic damage markers in patients with chronic generalized periodontitis and without periodontal disease. Micronucleus assay was performed in exfoliated gingival epithelial cells of 35 patients with generalized chronic periodontitis and 30 control subjects with healthy periodontium. Full mouth clinical examination was performed to define periodontal condition. The mean number of cells with micronuclei observed in chronic periodontitis and control groups was 1.8 (±1.49) and 2.0 (±1.34), respectively. Differences between the groups were not significant (p=0.574). Compared to control subjects, patients with chronic periodontitis showed a significant increase in the number of binucleated cells (p≤0.001) and number of cells with nucleoplasmic bridges (p=0.042). Study results indicated that chronic periodontitis was not associated with higher occurrence of chromosomal damage in gingival cells compared to individuals with healthy periodontium.

Diagnostic value of microbiome biomarkers of the periodonite microbiome in patients with the association of chronic periodontitis and diabetes mellitus type 2.

The place of high-tech methods of molecular biology in clinical laboratory diagnostics of various diseases and the development of a system of biomarkers as an important component of diagnostic research is currently attracting the closest attention of the scientific community. In this paper, an attempt is made to use high-tech metagenomic analysis to solve problems that arise due to the high frequency of association of periodontal diseases with systemic pathology, in particular, with type 2 diabetes mellitus. The aim of the study was to determine the taxonomic and metabolic features of the microbiome of periodontal tissues in periodontal diseases associated with type 2 diabetes mellitus, as a model of the ratio of local and systemic effects of periodontal pathogenic bacteria. The study included 16S shotgun sequencing of bacterial DNA as part of biological material from periodontal pockets/dentoalveolar furrows of 46 people - 15 patients with chronic periodontitis associated with type 2 diabetes mellitus, 15 patients with chronic periodontitis unrelated to systemic pathology, as well as 16 healthy people in the control group, followed by bioinformatic processing of the data obtained. The obtained data allowed us to establish the taxonomic features of the periodontal microbiome in the association of chronic periodontitis with type 2 diabetes mellitus, which included the predominance of representatives of the families Prevotellaceae and Spirochaetaceae in its composition. The features of metabolic processes in periodontal tissues with the participation of the microbiome were also revealed, which consisted in an increase in the exchange of cysteine and methionine against the background of a decrease in the metabolism of pyrimidine, methane, sphingolipids, and the synthesis of fatty acids, which are of diagnostic value in assessing the condition of patients with type 2 diabetes mellitus.

Detection rates of periodontal bacteria and herpesviruses in different forms of periodontal disease.

The aim was to investigate the detection rates of periodontal bacteria (Porphyromonas gingivalis, Tannerella forsythia, Prevotella intermedia, and Aggregatibacter actinomycetemcomitans) and herpesviruses (herpes simplex virus-1 [HSV-1], cytomegalovirus [CMV], and Epstein-Barr virus [EBV]) in different forms and severity of periodontal disease, and to compare them with those in periodontally healthy subjects. One hundred and twenty-nine patients participated in the study: 39 diagnosed with periodontal abscess (PA), 33 with necrotizing ulcerative periodontitis (NUP), 27 with chronic periodontitis (CP), and 30 participants with healthy periodontal tissue represented a healthy control group. All patients with periodontal disease (PA, NUP, and CP) were also divided into two groups according to the severity of their disease: moderate and severe periodontitis. The subgingival samples were collected from the periodontitis active sites and the detection of microorganisms was performed by end-point polymerase chain reaction analyses. The results revealed significantly higher detection rates of P. gingivalis, T. forsythia, and P. intermedia in all three groups of patients with periodontitis than in healthy participants. The highest detection rate of A. actinomycetemcomitans was noticed in CP, which was significantly higher than that in PA, NUP, and healthy control. The occurrence of EBV was significantly higher in NUP than in CP and healthy participants. CMV was detected significantly more frequently in PA and NUP than in CP and healthy participants. Comparisons among healthy participants and patients with moderate and severe periodontitis showed significantly higher detection rates of EBV and CMV in patients with severe forms of periodontitis than in healthy participants and those with moderate periodontitis.

Salivary Del-1, IL-17, and LFA-1 levels in periodontal health and disease.

OBJECTIVE AND BACKGROUND: Developmental endothelial locus-1 (Del-1), lymphocyte function-associated antigen-1 (LFA-1), and interleukin 17 (IL-17) play critical roles in transendothelial migration of neutrophils in periodontal diseases. The aim of this study was to evaluate salivary Del-1, IL-17, and LFA-1 protein levels in patients with gingivitis (G), chronic periodontitis (CP), and generalized aggressive periodontitis (GAP). METHODS: A total of 180 systemically healthy, non-smoking patients (45 periodontally healthy (H) and 45 G, 50 CP, and 40 GAP) individuals (between March 2014 and February 2016) were included in this study according to Armitage's (1999) classification. Clinical periodontal parameters, including clinical attachment level, probing depth, plaque index, and gingival index, were recorded. Del-1, IL-17, and LFA-1 protein expression levels were measured in unstimulated saliva samples collected from patients by using enzyme-linked immunosorbent assays. Kruskal-Wallis and Mann-Whitney U tests were used for multiple comparisons and post hoc statistical analyses, respectively. ROC curve analysis was used to evaluate the sensitivity and specificity of Del-1, IL-17, and LFA-1 in distinguishing periodontal disease from health and gingivitis. RESULTS: It was found a high level of IL-17 and a low level of Del-1 in the CP and GAP, as compared to the G and H groups (P < .001). Nevertheless, we found LFA-1 levels were higher in the GAP than in the CP or G groups (P = .00). Consistently, LFA-1 levels were lower in the H and G groups than in the CP and GAP groups (P = .00). The combination of three biomarkers was found as the best predictor yielded exhibited the highest AUC [0.893, 0.845-0.94 (%95 CI) P < .001] in discriminating periodontal disease from health and gingivitis. CONCLUSION: Salivary Del-1, LFA-1, and IL-17 levels might be useful markers for determining the clinical health and disease status of patients with periodontitis. However, further studies that evaluate the level of salivary Del-1, LFA-1, and IL-17 before and after periodontal therapy are required to understand the exact roles of these cytokines during the periodontal healing period.

Azurocidin in gingival crevicular fluid as a potential biomarker of chronic periodontitis.

BACKGROUND AND OBJECTIVE: Azurocidin is a neutrophil-derived protein in gingival crevicular fluid (GCF) which, according to relevant studies, might correlate with periodontal disease. The aim of the present study was to evaluate azurocidin as a potential biomarker for chronic periodontitis. MATERIAL AND METHODS: One hundred and one patients participated in the study, divided into two groups. Forty-eight were included in the periodontally healthy group (HP) and fifty-three in the chronic periodontitis group (CP). Clinical indices included probing depth (PD), recession (REC), clinical attachment level (CAL), bleeding on probing (BOP) and plaque (PL). Pooled GCF samples were collected with paper strips, freezed in liquid nitrogen (-196°C), stored at -80°C, and the levels of azurocidin were analyzed with ELISA. Values were transformed and expressed for comparisons in pg/30 s sample. Statistical comparisons were performed using non-parametric tests (Mann-Whitney) at the 0.05 level. Furthermore, the diagnostic accuracy of the procedure was assessed with receiver operator characteristic curves (ROC), areas under the curve (AUC), and the Youden's J Index calculated. RESULTS: Demographic data were comparable between the two groups. Clinical parameters and the levels of azurocidin were statistically significantly higher in the CP group when compared to the HP group (Mann-Whitney test, P < .05). Quantitative data from ELISA demonstrated a high diagnostic accuracy of azurocidin, with AUC calculated higher than 0.9 at the 0.000 level. CONCLUSION: Azurocidin in GCF is a promising biomarker for periodontal disease. The results of the present study agree with previous studies in the literature showing an up-regulated trend in the levels of azurocidin in periodontitis patients.

Diagnostic accuracy of IL1ß in saliva: The development of predictive models for estimating the probability of the occurrence of periodontitis in non-smokers and smokers.

AIM: To obtain salivary interleukin (IL) 1ß-based models to predict the probability of the occurrence of periodontitis, differentiating by smoking habit. MATERIALS/METHODS: A total of 141 participants were recruited, 62 periodontally healthy controls and 79 subjects affected by periodontitis. Fifty of the diseased patients were given non-surgical periodontal treatment and showed significant clinical improvement in 2 months. IL1ß was measured in the salivary samples using the Luminex instrument. Binary logistic regression models were obtained to differentiate untreated periodontitis from periodontal health (first modelling) and untreated periodontitis from treated periodontitis (second modelling), distinguishing between non-smokers and smokers. The area under the curve (AUC) and classification measures were calculated. RESULTS: In the first modelling, IL1ß presented AUC values of 0.830 for non-smokers and 0.689 for smokers (accuracy = 77.6% and 70.7%, respectively). In the second, the predictive models revealed AUC values of 0.671 for non-smokers and 0.708 for smokers (accuracy = 70.0% and 75.0%, respectively). CONCLUSION: Salivary IL1ß has an excellent diagnostic capability when it comes to distinguishing systemically healthy patients with untreated periodontitis from those who are periodontally healthy, although this discriminatory potential is reduced in smokers. The diagnostic capacity of salivary IL1ß remains acceptable for differentiating between untreated and treated periodontitis.

[Study of the functional state of the periodontium in older persons and its correction by means of oral hygiene.]

The study involved 258 older persons with generalized chronic periodontitis, who were monitored for a month. For an in-depth study of the properties and effectiveness of toothpastes recommended for older and elderly people with preventive anti-inflammatory purpose, tests were conducted to determine the true characteristics and properties of the studied pastes. Periodontal indices PMA and PI were used to study the anti-inflammatory effect of toothpastes. The most pronounced anti-inflammatory effect was revealed in the samples, the active components of which were oat extract, thymol, anise and essential oils of tea tree, as well as eucalyptus. Proper selection of means of individual oral hygiene and the development of «Individual hygienic program of prevention of chronic generalized periodontitis in older and elderly people¼ can reduce the phenomenon of inflammation in the periodontium, the development of mediators of inflammation and improve dental health of older and elderly people.

[Сlinicmolecular indicators of inflammatory destructive damage of the oral cavity in periodontitis in persons with various group accessories of blood.]

In order to find a connection between the alteration of oral tissues and genetic predisposition to inflammatory and destructive processes in oral media, the cytokine profile of the oral fluid of clinically healthy individuals was determined for various blood group affiliations according to the AB0 system. The group-specific features of individuals with B(III) blood group were revealed: an increase of 32,5% in the content of interleukin-6 and 63,1% in the content of interleukin-8 compared with similar data for people with 0(I), A(II), AB(IV) blood groups, which can predispose to the greatest activity of the inflammatory process in the oral cavity in individuals with antigen B. Confirmation of this fact is an increase of IgA antibodies to gliadin in the blood among patients with chronic generalized periodontitis with B(III) blood group, up to 5,00 U/ml (p<0,01), which indicates the processes of acute inflammation, and along with an increase in blood IgG antibodies to transglutaminase in comparison with a group of clinically healthy individuals, it serves as an indicator of damage to the body's connective tissue at the molecular level. When examining the dental status, pronounced clinical manifestations of chronic generalized periodontitis were found in patients with A(II) blood group, the molecular foundation of which is the highest content of IgA and IgG antibodies to transglutaminase in the oral fluid (0,35 U/ml and 0,45 U/ml), which contributes to the activation of periodontal-destroying inflammatory and inflammatory processes, obviously, with a tendency to the chronic course of the disease. The studies performed allowed us to analyze in clinically healthy individuals a predisposition to alternative processes in oral environments, using gradation by group blood affiliation.

Post-periodontal surgery propounds early repair salivary biomarkers by 1H NMR based metabolomics.

INTRODUCTION: Oral microflora is a well-orchestrated and acts as a sequential defense mechanism for any infection related to oral disease. Chronic periodontitis is a disease of a microbial challenge to symbiosis and homeostasis. Periodontal surgery is the most promising cure with repair process during periodontal regeneration. It has an encouraging outcome in terms of early recovery biomarkers. OBJECTIVE: Saliva of periodontal surgery subjects with the chronic periodontitis have been evaluated by 1H NMR spectroscopy in search of possible early metabolic differences that could be obtained in order to see the eradication of disease which favours the symbiotic condition. METHOD: The study employed 1H NMR spectroscopy on 176 human saliva samples in search of distinctive differences and their spectral data were further subjected to multivariate and quantitative analysis. RESULT: The 1H NMR study of periodontal surgery samples shows clear demarcation and profound metabolic differences when compared with the diseased condition. Several metabolites such as lactate, ethanol, succinate, and glutamate were found to be of higher significance in periodontal surgery in contrast to chronic periodontitis subjects. The PLS-DA model of the studied group resulted in R2 of 0.83 and Q2 of 0.70. CONCLUSION: Significant metabolites could be considered as early repair markers for chronic periodontitis disease as they are being restored to achieve symbiosis. The study, therefore, concluded the early recovery process of the diseased subjects with the restoration of possible metabolomic profile similar to the healthy controls.

Sclerostin and WNT-5a gingival protein levels in chronic periodontitis and health.

BACKGROUND AND OBJECTIVE: Wnt signaling pathways regulate osteoblast differentiation and bone formation and are associated with inflammatory responses driven by innate and adaptive immunity via the NF-κB pathway. The aim of this study was to compare the levels of sclerostin (SOST), WNT-5a, and TNF-α between chronic periodontitis and periodontally healthy sites and determine their value as diagnostic markers of chronic periodontitis. MATERIAL AND METHODS: In a cross-sectional assessment 25 chronic periodontitis cases and 25 periodontally healthy controls were selected upon clinical and radiographic periodontal evaluation. Gingival crevicular fluid (GCF) was collected cross-sectionally from diseased and healthy sites in periodontitis patients and from healthy sites in each control subject. In a subgroup analysis, ten patients with generalized moderate and severe chronic periodontitis and ten generalized periodontally healthy individuals were included. The protein levels of SOST, WNT-5a, and TNF-α in GCF were measured by sandwich ELISA. The Shapiro-Wilk test was utilized to assess the normality of the distribution and non-parametric comparisons were performed. RESULTS: The protein levels of SOST were significantly higher in the generalized moderate and severe chronic periodontitis subgroup when compared to the generalized healthy (P = 0.002), while the WNT-5a and TNF-α GCF total amounts were similar (P > 0.05). Diseased sites in the periodontitis patients exhibited significantly higher total protein levels of WNT-5a than in healthy sites (P = 0.017), whereas no differences were detected for SOST and TNF-α (P > 0.05). The total protein levels of SOST, WNT-5a, and TNF-α in GCF were similar in periodontitis and non-periodontitis patients (P > 0.05). CONCLUSIONS: Sclerostin and WNT-5a gingival protein levels demonstrated a high diagnostic value for generalized moderate and severe chronic periodontitis, while a low accuracy was detected for localized chronic periodontitis.