Estimation of serum C-reactive protein activity in periodontal health and disease and response to treatment: a clinico-biochemical study.

Background: Periodontitis is a chronic infectious disease affecting periodontium having multifactorial etiology, can cause significant systemic challengein addition to localized inflammation, tissue damage, and bone resorption. A serological marker of systemic inflammation known as C-reactive protein has been linked to an increased risk for a number of pathological conditions, including cardiovascular diseases. Aim: To estimate levels of serum C-reactive protein in healthy individuals and subjects with periodontal diseases and to compare serum C-reactive protein levels in subjects having periodontal disease pre-operatively & post-operatively. Materials and methods: The study was conducted on 60 subjects age ranging from 35 to 60 years. 30 individuals with healthy periodontium were in group 1 (control group) and the remaining 30 were diagnosed as adult periodontitis were in group 2 (experimental group). Periodontal examination done using gingival index, plaque index, periodontal pocket depth, and Russel's index. CRP levels were examined between group 1 and group 2 and in group 2 between baseline visit before treatment and 2 months after treatment. Results: The findings of this study show a significant connection between periodontal disease and the inflammatory marker CRP in the body, as well as a tendency for a significant decrease in serumCRP levels following periodontitis therapy. At baseline, there was a positive correlation among C-reactive protein, probing pocket depth, and Russell's index. Conclusion: As CRP is a key mediator for cardiovascular disease, an increase in C- reactive protein levels in periodontal diseases suggests a significant connection between periodontitis and cardiovascular diseases. Early periodontal treatment might decrease the severity of cardiovascular disease that already exists. This suggests that periodontal examination should be part of routine practicealong with cardiovascular examination.

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.

Endogenous and microbial biomarkers for periodontitis and type 2 diabetes mellitus.

It has been well documented that there is a two-way relationship between diabetes mellitus and periodontitis. Diabetes mellitus represents an established risk factor for chronic periodontitis. Conversely, chronic periodontitis adversely modulates serum glucose levels in diabetic patients. Activated immune and inflammatory responses are noted during diabetes and periodontitis, under the modulation of similar biological mediators. These activated responses result in increased activity of certain immune-inflammatory mediators including adipokines and microRNAs in diabetic patients with periodontal disease. Notably, certain microbes in the oral cavity were identified to be involved in the occurrence of diabetes and periodontitis. In other words, these immune-inflammatory mediators and microbes may potentially serve as biomarkers for risk assessment and therapy selection in diabetes and periodontitis. In this review, we briefly provide an updated overview on different potential biomarkers, providing novel diagnostic and therapeutic insights on periodontal complications and diabetes mellitus.

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.

A systematic review of the protein composition of whole saliva in subjects with healthy periodontium compared with chronic periodontitis.

CONTEXT: Periodontitis is a chronic multifactorial inflammatory disease linked to oral microbiota dysbiosis. This disease progresses to infection that stimulates a host immune/inflammatory response, with progressive destruction of the tooth-supporting structures. OBJECTIVE: This systematic review aims to present a robust critical evaluation of the evidence of salivary protein profiles for identifying oral diseases using proteomic approaches and summarize the use of these approaches to diagnose chronic periodontitis. DATA SOURCES: A systematic literature search was conducted from January 1st, 2010, to December 1st, 2022, based on PICO criteria following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and by searching the three databases Science Direct, Scopus, and Springer Link. STUDY SELECTION: According to the inclusion criteria, eight studies were identified to analyze the proteins identified by proteomics. RESULTS: The protein family S100 was identified as the most abundant in patients with chronic periodontitis. In this family, an increased abundance of S100A8 and S100A9 from individuals with the active disease was observed, which strongly relates to the inflammatory response. Moreover, the ratio S100A8/S100A9 and the metalloproteinase-8 in saliva could differentiate distinct periodontitis groups. The changes in protein profile after non-surgical periodontal therapy improved the health of the buccal area. The results of this systematic review identified a set of proteins that could be used as a complementary tool for periodontitis diagnosis using salivary proteins. CONCLUSION: Biomarkers in saliva can be used to monitor an early stage of periodontitis and the progression of the disease following therapy.

Association between Caspase-1, TNF-α Salivary Level and Their Diagnostic Potential to Discriminate Periodontitis from Healthy Control.

PURPOSE: Periodontitis is associated with caspase and proinflammatory mediators, such as caspase-1 and tumor necrosis factor-alpha (TNF-α). The aim of this study was to evaluate the salivary levels of caspase-1 and TNF-α and determine their accuracy in differentiating periodontitis patients from individuals with a healthy periodontium. MATERIALS AND METHODS: This case-control study enrolled 90 subjects, aged 30 to 55, attending the Department of Periodontics at Baghdad's outpatient clinic. Patients were initially screened to evaluate their eligibility for recruitment. After applying inclusion/exclusion criteria, subjects with a healthy periodontium were included in group 1 (controls), while subjects with periodontitis were included in group 2 (patients). The salivary levels of caspase-1 and TNF-α in participants' unstimulated saliva were measured using an enzyme-linked immunosorbent assay (ELISA). Then the periodontal status was determined using the following indices: full-mouth plaque, full-mouth bleeding on probing, probing pocket depth, clinical attachment level, and gingival recession. RESULTS: TNF-α and caspase-1 salivary levels were higher in periodontitis patients than in healthy controls and were positively correlated with all clinical parameters. A positive significant correlation between TNF-α and caspase-1 salivary levels was noticed. For differentiating periodontal health and periodontitis, the area under the curve (AUC) values of TNF-α and caspase-1 were 0.978 and 0.998, while the proposed cut-off points were 128.163 pg/ml and 1.626 ng/ml, respectively. CONCLUSION: The present findings supported a previous discovery that periodontitis patients have significantly higher levels of salivary TNF-α. In addition, there was a positive correlation between the salivary levels of TNF-α and caspase-1. Furthermore, caspase-1 and TNF-α showed high sensitivity and specificity in the diagnosis of periodontitis, as well as distinguishing periodontitis from periodontal health.

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.

Effect of non-surgical periodontal therapy on the salivary levels of omentin-1, a novel adipokine biomarker in periodontitis: A clinico-biochemical study.

BACKGROUND: Biomarkers are emerging, advanced diagnostic tools for the assessment of periodontal disease progression. Omentin-1 is an anti-inflammatory adipocytokine, which has been observed and studied in the saliva of periodontitis patients. Non-surgical periodontal therapy (NSPT) is considered a vital part of periodontal disease treatment. OBJECTIVES: The study aimed to evaluate the interventional effect of NSPT on the levels of salivary omentin1 in healthy (H) and chronic periodontitis (CP) patients. MATERIAL AND METHODS: A total of 60 participants were selected and equally divided into 2 groups (group A: H participants, group B: CP patients). After obtaining verbal and written consent, whole unstimulated saliva was collected from all participants and analyzed for omentin-1 levels using enzyme-linked immunosorbent assay (ELISA). RESULTS: Mean salivary omentin-1 levels were elevated and found to be significantly higher in group A (95.80 ±26.65) compared to group B (61.97 ±24.53). In group B, there was a substantial rise in omentin1 levels from baseline to the 6th week of follow-up (p < 0.001). Thus, NSPT had a positive influence on salivary omentin-1 levels in the treatment group. CONCLUSIONS: Salivary omentin-1 levels may serve as diagnostic and prognostic indicators of periodontal disease progression, and may be used to assess therapeutic outcomes in periodontitis patients.

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.

Candida species detection in patients with chronic periodontitis: A systematic review and meta-analysis.

OBJECTIVES: To assess the Candida species occurrence rate and concentration in periodontal pockets in chronic periodontitis (CP) by meta-analysis. MATERIALS AND METHODS: A search was performed of articles published between January 1, 2010, and October 1, 2020, in English and in Russian, in the electronic databases MEDLINE-PubMed, Google Scholar, The Cochrane Library, ClinicalTrials.gov, Research Gate, eLIBRARY, and Cyberleninka (PROSPEROCRD42021234831). The odds ratio (OR), standardized mean difference (SMD), and 95% confidence interval (CI) were calculated using Review Manager 5.4.1 to compare the risk of CP when Candida spp. were detected in the gingival sulcus or periodontal pocket and to compare Candida spp. density counts in patients with CP and periodontally healthy patients. RESULTS: Twenty-six studies were included in the systematic review and 11 were included in the meta-analysis. The results showed that Candida spp. may increase the chance of CP development by 1.76 times (OR = 1.76; 95% CI = 1.04-2.99; Z = 2.10; p = .04; I2 = 61%). More Candida spp. were found in patients with CP than in periodontally healthy patients (SMD = 1.58; 95% CI = 0.15-3.02; p = .03; I2 = 98%). No data were found relating to the statistically significant influence of Candida glabrata, Candida krusei and Candida tropicalis on CP development. CONCLUSION: We found that Candida albicans insignificantly increased the risk of CP development but, due to the heterogeneity of the included studies, further research is necessary to determine the exact role of Candida spp. in the development and course of the inflammatory periodontal diseases.

Caracterización del tipo de sensibilidad dental de pacientes con periodontitis y su respuesta a los dentífricos / Characterization of the type of dental sensitivity of patients with periodontitis and their response to dentifrices

La hipersensibilidad de la dentina surge ante la exposición de esta y en respuesta a estímulos de diverso tipo, fundamentalmente de origen térmico, evaporativo, táctil, osmótico o químico. Se realizó una investigación abocada a caracterizar la hipersensibilidad dental de pacientes atendidos en consulta de odontología y la respuesta a determinado dentífrico utilizado. En el análisis de estimulación dental se tomaron 308 mediciones de la sensibilidad dental para todos los participantes (n=22), con 7 factores de tiempo (T0 antes del uso del producto, T3 días, T5 días, T8 días, T22 días y T29 días después del uso del dentífrico). Se realizó la prueba paramétrica regresión lineal simple para identificar la tendencia y el ajuste de los datos, al considerar dichas variables como una serie temporal. Se utilizaron 22 tratamientos. Casi el 91,0% expreso que el dentífrico había cumplido sus expectativas, fundamentalmente por la reducción de la hipersensibilidad a corto plazo, mientras que aproximadamente 91,0% de los casos afirmó que compraría el dentífrico (20 casos, IC 95%: 72,2% y 97,5%), respectivamente(AU)

Dentin hypersensitivity arises when exposed to it and in response to various types of stimuli, mainly of thermal, tactile evaporative, osmotic or chemical origin. An investigation was carried out aimed at characterizing the dental hypersensitivity of patients seen in the dental office and the response to a certain toothpaste used. In the dental stimulation analysis, 308 measurements of tooth sensitivity were taken for all participants (n = 22), with 7 time factors (T0 before use of the product, T3 days, T5 days, T8 days, T22 days and T29 days after using the toothpaste). The simple linear regression parametric test was performed to identify the trend and the fit of the data, considering these variables as a time series. 22 treatments were used. Almost 91.0% believed that the toothpaste had met their expectations, mainly due to the reduction in hypersensitivity in the short term, while approximately 91.0% of the cases stated that they would buy the toothpaste (20 cases, 95% CI: 72 , 2% and 97.5%), respectively(AU)

The effect of (-)-epigallocatechin gallate as an adjunct to non-surgical periodontal treatment: a randomized clinical trial.

BACKGROUND: EGCG is proven to be of good effect to relieve periodontal inflammation, but it has not been applied as a local delivery medicine in patients with periodontitis widely. The aim of this clinical trial was to evaluate the adjunctive effect of (-)-epigallocatechin gallate (EGCG) aqueous solution as a coolant during scaling and root planing in the management of chronic periodontitis. METHODS: A double-blind, randomized controlled study was performed on 15 patients with moderate to severe chronic periodontitis. The bilateral maxillary teeth were randomly divided into the test side and the control side on every individual. On the control side, the periodontal therapy was routinely performed. And on the test side, in the process of periodontal therapy, the distilled water in the ultrasonic scaler was replaced with a 5-mg/mL EGCG solution. The probing depth (PPD), clinical attachment level (CAL), bleeding index (BI), gingival index (GI), and plaque index (PI) were recorded at baseline and 6 and 12 weeks after the treatment. RESULTS: PPD, CAL, BI, GI, and PI generally improved after treatment in both groups. At the sixth week and the twelfth week of review, PPD, CAL, GI, and PI had no statistical difference (p >0.05) between the two groups. At the review of the twelfth week, BI on the test side decreased significantly (p <0.05). CONCLUSIONS: Using EGCG solution as the irrigant instead of water has an additional benefit on the bleeding index at the 12-week review. However, the rest clinical parameters had no additional benefit. TRIAL REGISTRATION: ClinicalTrials.gov ChiCTR2000029831 , date of registration: Feb 15, 2020.

Diagnostic Accuracy of Salivary Biomarkers including Lactate Dehydrogenase and Hemoglobin A1c for Screening Chronic Periodontitis.

Aims: Periodontitis is one of the most common chronic bacterial infections in humans involving the tooth-supporting tissue. The present study aimed to evaluate and compare salivary biomarkers, including lactate dehydrogenase (LDH) and hemoglobin A1c (HbA1c), between patients with severe chronic periodontitis and healthy individuals. Methods: This study was performed on 29 patients with severe chronic periodontitis and 30 healthy individuals at Zahedan University of Medical Sciences, Zahedan, Iran, in 2021. Salivary samples were taken, and clinical parameters, including the clinical attachment loss (CAL) and probing pocket depth (PPD), were measured. Besides, the levels of LDH and HbA1c were measured using ELISA kits. The sensitivity, specificity, and positive and negative predictive values of HbA1c and LDH were examined for chronic periodontitis diagnosis. Results: Based on the present results, the levels of LDH and HbA1C did not show adequate sensitivity or specificity for screening chronic periodontitis. Conclusion: According to the present findings, salivary biomarkers, including LDH and HbA1c, cannot be used with certainty for screening chronic periodontitis.

Evaluation of gingival crevicular fluid interleukin-35 as a marker for identification of periodontal disease activity.

BACKGROUND: This study was carried out to evaluate and compare the levels of IL-35 in gingival crevicular fluid (GCF) in periodontally healthy subjects, patients with gingivitis and chronic periodontitis and to assess IL-35 as a marker for identification of periodontal disease activity. METHODS: GCF samples were obtained from periodontally healthy subjects (N.=15), gingivitis patients (N.=15) and patients with chronic periodontitis (N.=15). Clinical measurements like probing pocket depth, clinical attachment loss, bleeding on probing, Papillary Bleeding Index, and Modified Plaque Index were recorded. Enzyme-linked immunosorbent assay was used for the determination of GCF IL-35 levels in samples. RESULTS: The IL-35 levels were significantly higher in the healthy subjects as compared to gingivitis and chronic periodontitis group. There was variation in GCF IL-35 levels in healthy sites in each group and gingivitis sites in gingivitis and chronic periodontitis patients. CONCLUSIONS: The levels of IL-35 were observed to decrease with increase in the inflammatory status, so it might play a role in suppressing gingival inflammation and maintaining periodontal health.

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.

Evaluation of NLRP3 and IL-18 Levels after Periodontal Therapy.

The progression of periodontitis depends on interactions between the periodontal pathogens and the host immune cytokines, including interleukin (IL)-1ß and IL-18. Production of IL-1ß is regulated by NOD-like receptors family pyrin domain containing 3 (NLRP3). This study aimed to evaluate the effect of periodontal treatment on the concentrations of IL-18 and NLRP3 in patients with chronic periodontitis. In this experimental study, 18 patients with chronic periodontitis and a mean age of 46.2±8.95 years, were included. The gingival crevicular fluid (GCF) was collected at the beginning of the study, 4 weeks after non-surgical (phase I), and 4 weeks after surgical periodontal treatment. The levels of NLRP3 and IL-18 were measured; using an enzyme-linked immunosorbent assay. Pearson correlation test was used to analyze the concentration of NLRP3 and IL-18 before and after the treatments with CAL and PD. There was a significant association between the level of NLRP3 and the mean values of PD and CAL before treatment. After each treatment phase, a significant decrease was observed in the NLRP3 level. There was no significant relationship between IL-18 and clinical parameters before and after periodontal treatments. Given the possible association between the level of NLRP3 and clinical parameters, we suggest it as a possible indicator of inflammation in chronic periodontitis and an index for evaluating the treatment outcome.

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.

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.

Association between obesity and chronic periodontitis: A nationwide population-based cohort study in Taiwan.

ABSTRACT: Previous studies have suggested that obesity might be associated with chronic periodontitis (CP); however, no clear conclusions have been reached so far. In this retrospective cohort study, we aimed to investigate the association between obesity and CP by using a large population-based dataset in Taiwan.A population-based retrospective cohort study was conducted using the Longitudinal Health Insurance Database 2010 (LHID2010) derived from the National Health Insurance Research database in Taiwan, from 2000 to 2013. Obesity and non-obesity groups were matched with sex, age, urbanization level, socioeconomic status, and the related comorbidities by using the propensity score method at a 1:2 ratio.An obese cohort (n = 4140) and a non-obese cohort (n = 8280) were included in this study, with an average age of 41.7 ±â€Š13.8 years and 42.0 ±â€Š14.0 years, respectively. The risk of CP for the patients with obesity was 1.12-fold compared with those without obesity (hazard ratio, 1.12; 95% confidence interval, 1.01-1.25). In the subgroup analysis according to age and sex, the hazard ratio of CP were 1.98 (95% confidence interval, 1.22-3.22) in the subgroup of age equal to or older than 65 years. The risk of CP showed no difference between obesity and non-obesity groups in both sex.This population-based cohort study demonstrated that obesity was associated with the development of CP in Taiwan.