The 2018 EFP/AAP periodontitis case classification demonstrates high agreement with the 2012 CDC/AAP criteria

Salivary advanced glycated end products, their receptors, and aMMP-8 in periodontitis patients with varying glycemic levels: A cross-sectional study

BACKGROUND

Advanced glycation end products (AGE) and their receptors (RAGE) have been implicated in developing periodontal complications in diabetic patients. This study aimed to identify salivary AGE, RAGE, soluble RAGE (sRAGE), and active-matrix metalloproteinase-8 (aMMP-8) levels at varying glycemic levels in periodontitis patients.

METHODS

Ninety-eight participants were categorized into uncontrolled DM-PD group (n = 27)-periodontitis patients with uncontrolled Type 2 diabetes mellitus (T2DM) (glycated hemoglobin [HbA1c] ≥7%); controlled DM-PD group (n = 33)-periodontitis patients with controlled T2DM (HbA1c 5.7%-6.9%); SH-PD group (n = 18)-systemically healthy periodontitis patients; and SH-PH group (n = 20)-systemically and periodontally healthy individuals. HbA1c along with the periodontal parameters bleeding on probing (BoP), periodontal probing depth (PPD), clinical attachment loss (CAL), number of missing teeth, and periodontal inflamed surface area (PISA) were estimated. Enzyme-linked immunosorbent assay (ELISA) was used for analyzing salivary AGE, RAGE, sRAGE, and aMMP-8. Multiple linear regression analysis was conducted to develop predictive models for HbA1c based on relevant predictor variables.

RESULTS

Periodontitis participants with uncontrolled T2DM exhibited significantly higher BoP, PPD, CAL, number of missing teeth, and PISA, along with elevated AGE, RAGE, and aMMP-8, compared to other groups (p < 0.01). A significant positive association was observed between RAGE and HbA1c levels (p < 0.01). Among the predictors, BoP (p = 0.046) and CAL (p < 0.001) demonstrated a significant positive effect on salivary AGE. PPD was positively associated with RAGE (p < 0.05), and BoP was negatively associated with salivary sRAGE levels (p = 0.038).

CONCLUSIONS

Salivary biomarkers like RAGE and aMMP-8 exert a potential role in monitoring periodontal health and glycemic control in T2DM patients.

PLAIN LANGUAGE SUMMARY

Advanced glycation end products (AGE) and their receptors (RAGE) have been implicated in developing periodontal complications in diabetic patients. This study aimed to identify salivary AGE, RAGE, soluble RAGE (sRAGE), and aMMP-8 levels at varying glycemic levels in periodontitis patients. Ninety-eight participants were categorized into Group 1 (n = 27)-periodontitis patients with uncontrolled Type 2 diabetes mellitus (T2DM); Group 2 (n = 33)-periodontitis patients with controlled T2DM; Group 3 (n = 18)-systemically healthy periodontitis patients; and Group 4 (n = 20)-systemically and periodontally healthy individuals. Enzyme-linked immunosorbent assay (ELISA) was used for analyzing salivary AGE, RAGE, sRAGE, and aMMP-8. The study revealed that participants with uncontrolled T2DM and severe periodontitis exhibited significantly higher levels of salivary AGE, RAGE, and aMMP-8, along with increased periodontal parameters, compared to controlled T2DM and systemically healthy groups. Conversely, salivary sRAGE levels were significantly lower in the uncontrolled T2DM group. The study also found significant associations between salivary RAGE levels and glycated hemoglobin (HbA1c), as well as between aMMP-8, AGE, and clinical periodontal parameters. The findings of this study highlight the potential clinical utility of salivary biomarkers, particularly RAGE and aMMP-8, as noninvasive diagnostic and monitoring tools to evaluate glycemic control and periodontal health in individuals with diabetes.

Identifying Undiagnosed Diabetes and Prediabetes in the Dental Setting in an Asian Population-A Clinical Risk Model

AIM

To assess the glycaemic status of Asian patients in a tertiary care dental setting and develop a risk model for undiagnosed diabetes mellitus (DM).

MATERIAL AND METHODS

A total of 1074 participants completed a diabetes risk test questionnaire, full-mouth periodontal examination and a point-of-care HbA1c finger-prick blood test. Univariable logistic regression was performed to assess the effect of potential factors to predict DM, with confirmed diabetes as the outcome. Subsequently, multivariable logistic regression analysis with stepwise variable selection was employed to develop the final models for predicting DM.

RESULTS

Sixty-five (6.1%) and 83 (7.7%) of the 1074 participants were medically confirmed with T2DM and prediabetes, respectively. The 'best' predictive risk model for DM included body mass index (BMI), family history of diabetes, smoking and a diagnosis of Stage III/IV or severe periodontitis with an area under the curve (AUC) of 0.717 (95% confidence interval, CI [0.689-0.744]) and 0.721 (95% CI [0.693-0.748]), respectively. Including the oral health measure marginally increased the AUC.

CONCLUSIONS

Dental patients clinically diagnosed with advanced periodontitis in combination with high BMI, positive family history of DM and smoking are potentially at high risk for DM and should be screened for DM and referred for medical confirmation and management.

Association between cardiometabolic index (CMI) and periodontitis in US adults: analysis of NHANES data (2009-2014)

BACKGROUND

The cardiometabolic index (CMI) is a new predictor of obesity-related diseases, but its link to periodontitis is under-researched. This study aims to examine the potential association between the CMI and periodontitis.

METHODS

We conducted a cross-sectional study using the National Health and Nutrition Examination Survey (NHANES) database (2009-2014) to examine the potential association between CMI and periodontitis. The study utilized a weighted multivariate logistic model to assess the association between TG, HDL-C, TG/HDL-C, obesity indices (BMI, WC, WHtR, CMI), and periodontitis, employing the area under the receiver operating characteristic curves (ROC) to estimate areas under the curve (AUC). Furthermore, generalized smooth curve fitting was conducted to examine the relationship between CMI and periodontitis. Finally, the study incorporated subgroup analysis and interaction tests to examine consistency across different populations.

RESULTS

TG/HDL-C, WHtR, and CMI were positively associated with periodontitis in the fully adjusted classification model. It was observed that for each unit increase in CMI, there was a corresponding 17.8% increase in the prevalence of periodontitis [1.178 (1.049, 1.322) 0.00562] and 18.7% increase in the prevalence of moderate/severe [1.187 (1.057, 1.334) 0.00376] in the fully adjusted model. When CMI was used as a categorical variable, the adjusted OR for periodontitis prevalence increased significantly with increasing CMI after adjusting for all potential covariates (T3 vs. T1: OR, 1.28 [1.06, 1.55], p < 0.05). The ROC analysis indicated that a larger area under the curve was found in the CMI [0.554 (0.538-0.570)] than in the WC [0.544 (0.528-0.560)] and WHtR [0.544 (0.528-0.561)]. Nonetheless, the discrepancy observed did not reach statistical significance (all p > 0.05). Further generalized smooth curve fitting and threshold effect models indicated a positive linear correlation between CMI and periodontitis. Moreover, there is no interactive association between TG/HDL-C, WHtR, CMI, and periodontitis.

CONCLUSIONS

This cross-sectional study revealed a positive relationship between CMI and periodontitis. Further prospective studies are warranted to validate our findings.

The Potential Effect of Periodontal Disease on the Development of Metabolic Syndrome: A 10-Year Observational Study in a Thai Adult Cohort

AIM

As data are sparse on the long-term association between periodontal diseases and development of metabolic syndrome (MetS), we investigated their relationship in a Thai cohort over a 10-year observational period.

METHODS

Medical records and data on periodontal assessments of 2161 employees of the Electricity Generating Authority of Thailand collected at two time points, 2003 and 2013, were used. Experienced periodontists used standard national and international criteria to define periodontitis and MetS. The impact of baseline periodontitis on subsequent MetS incidence and its components was evaluated using regression analyses.

RESULTS

The severity and extent of periodontitis significantly predicted MetS incidence over a decade, with a higher incidence of MetS in individuals with poorer periodontal health. A single percentage increase in the periodontitis extent raised the risk of MetS incidence by 0.4% and the risk of developing individual components of MetS by 0.2%. Independent of periodontal health, age of an individual emerged as a factor impacting MetS development.

CONCLUSION

This study highlights the potential effect of the severity and extent of periodontitis on the increased incidence and progression of MetS. Hyperglycaemia and hypertension were the two MetS components most significantly affected by the existence of periodontitis.

Lysosomal dysfunction-derived autophagy impairment of gingival epithelial cells in diabetes-associated periodontitis with altered protein acetylation

Diabetes-associated periodontitis (DP) presents severe inflammation and resistance to periodontal conventional treatment, presenting a significant challenge in clinical management. In this study, we investigated the underlying mechanism driving the hyperinflammatory response in gingival epithelial cells (GECs) of DP patients. Our findings indicate that lysosomal dysfunction under high glucose conditions leads to the blockage of autophagy flux, exacerbating inflammatory response in GECs. Single-cell RNA sequencing and immunohistochemistry analyses of clinical gingival epithelia revealed dysregulation in the lysosome pathway characterized by reduced levels of lysosome-associated membrane glycoprotein 2 (LAMP2) and V-type proton ATPase 16 kDa proteolipid subunit c (ATP6V0C) in subjects with DP. In vitro stimulation of human gingival epithelial cells (HGECs) with a hyperglycemic microenvironment showed elevated release of proinflammatory cytokines, compromised lysosomal acidity and blocked autophagy. Moreover, HGECs with deficiency in ATP6V0C demonstrated impaired autophagy and heightened inflammatory response, mirroring the effects of high glucose stimulation. Proteomic analysis of acetylation modifications identified altered acetylation levels in 28 autophagy-lysosome pathway-related proteins and 37 sites in HGECs subjected to high glucose stimulation or siATP6V0C. Overall, our finding highlights the pivotal role of lysosome impairment in autophagy obstruction in DP and suggests a potential impact of altered acetylation of relevant proteins on the interplay between lysosome dysfunction and autophagy blockage. These insights may pave the way for the development of effective therapeutic strategies against DP.

Occurrence of periodontal diseases according to the ACES 2018 Classification Framework and the CDC/AAP definition: A cross-sectional study in a major Brazilian city

AIM

The occurrence of periodontal diseases is still to be determined in large samples of major Brazilian cities. This study aimed to assess the periodontal status of adults from Curitiba, Paraná, Brazil, using periodontitis definitions by the Centers for Disease Control and Prevention and the American Academy of Periodontology (CDC/AAP) and the recently published ACES 2018 Classification Framework.

MATERIALS AND METHODS

A multi-stage probability sampling technique was applied to draw individuals aged 18 or older. A total of 566 individuals underwent a full-mouth periodontal examination. Periodontitis cases were defined according to the CDC/AAP and the ACES 2018 Classification Framework. Non-periodontitis cases were classified as healthy or gingivitis. The agreement between the two definitions was calculated.

RESULTS

Periodontal health was present in 33.6% and 13.8% of individuals, and gingivitis was found in 11.7% and 7.5%, according to CDC/AAP and ACES, respectively. Mild, moderate and severe periodontitis (CDC/AAP) were present in 2.1%, 33.4% and 19.1% of individuals, respectively. Using ACES, 34.3% had Stages I/II and 43.3% had Stages III/IV. The occurrence of periodontitis was higher when a subgroup of individuals aged 30+ were analysed, ranging from 69.6% (CDC/AAP) to 90.1% (ACES). CDC/AAP and ACES agreement for health, gingivitis and periodontitis accounted for 68.8% of the observations.

CONCLUSIONS

Periodontal diseases affect more than 66% of the population aged 18+ years. Classic definition by the CDC/AAP and the recently published ACES Framework yielded moderate agreement.

Diagnostic accuracy of salivary hemoglobin, lactate dehydrogenase and Interleukin-6 to determine chronic periodontitis and tooth loss in type 2 diabetics

Background

Salivary Hemoglobin (SH) has emerged as the mainstay non-invasive and a practicable screening method for Chronic Periodontitis. Current research aims to comprehensively assess the diagnostic value of Salivary Hb (SH) in comparison with Salivary IL-6 (SIL-6) and levels of Salivary lactate dehydrogenase enzyme (SLDH) amongst Type II Diabetes subjects having Chronic Periodontitis (CP) and associated tooth loss.

Materials and methods

In this cross-sectional comparative investigation, 240 individuals with at least 15 remaining teeth, ranging in age from 30 to 70, were chosen and Group I controls were defined as follows: healthy (HbA1c levels ≤6.4 %) with no CP; Group II included chronic periodontitis and non-T2DM (HbA1c ≤ 6.4 %); Group III included T2DM (HbA1c ≥ 6.5 %) and CP; and Group IV included T2DM (HbA1c ≥ 6.5 %) with periodontitis-related tooth loss. ELISA colorimetric assay was used to quantify the results using the unstimulated whole saliva of fasting participants. Tukey's post hoc test was used for statistical analysis following Analysis of Variance (ANOVA), and Sensitivity and Specificity were computed following the determination of the correlation coefficient.

Results

One-way ANOVA comparing Biomarker levels across the four groups revealed a statistically significant difference (F = 68.013) (p = 0.0001). Tukey's multiple post hoc yielded a significant difference between groups with least mean average biomarker levels observed among the controls (Group1) and maximum with group IV. Diagnostic Accuracy to discriminate between CP in T2DM & Controls with SH surpassed that of SIL-6 & SLDH, Receiver operating characteristic (ROC) curve depicted an overall sensitivity of 67.62 %, specificity of 80 % and accuracy of 74 % in T2DM subjects with tooth loss for the identification and assessment of CP.

Conclusion

Estimates of Salivary Hemoglobin can assume an important role in comparison to SIL-6 & SLDH in determining the degree of periodontitis, including tooth loss, and identifying elevated glycemic levels. Advanced detection and monitoring can be ensured by routine use in dental offices and general practice.

Systematic review to evaluate accuracy studies of the diagnostic criteria for periodontitis in pregnant women

The diversity of criteria used in the diagnosis of periodontitis in pregnant women makes it difficult to define and compare the disease. Using a systematic review, this study evaluated the accuracy of criteria for diagnosing periodontitis in pregnant women. Searches were carried out in the databases: Medline/PubMed, Embase, Scopus, Web of Science, SciELO, Lilacs, ProQuest, and CINAHL. Validation studies of the criteria used for diagnosing periodontitis met the inclusion criteria. The study steps were performed by three independent reviewers. A qualitative synthesis of the included articles was carried out and the quality methodological analysis using the QUADAS-2 instrument. The assessment of the quality of the evidence was obtained through the GRADE tool. A total of 592 records were identified, of which only 6 made up this systematic review. The included studies analyzed different criteria for diagnosing periodontitis, evaluating 3,005 pregnant women. The criteria selected as a test presented results equivalent to the performance of those recognized as the gold standard. The self-reported criteria were of lower diagnostic accuracy. A major limitation of this review was the small number of primary studies that evaluated clinical diagnosis of periodontitis in pregnant women, which was highly heterogeneous, making it impossible to carry out accuracy meta-analysis and additional analyzes. There is a lack of consensus on the criteria for the diagnosis of periodontitis, with great variability in the accuracy and prevalence of the disease in pregnant women.

Diagnostic accuracy of severe periodontitis for Ramfjord teeth based on different classifications

OBJECTIVE

To evaluate the accuracy of Ramfjord teeth (RT) protocol for the diagnosis of severe periodontitis based on different classifications and explore the misclassification bias such as teeth loss.

METHODS

Patients (n = 435) receiving full-mouth periodontal examination (FMPE) were included. Patients were classified as severe (stage III/IV) periodontitis and no/mild/moderate (no/stage I/II) periodontitis according to the case definition proposed by the Centers for Disease Control and Prevention (CDC) and the American Academy of Periodontology (AAP)-(CDC/AAP), a new classification introduced by AAP and the European Federation of Periodontology (EFP)-(AAP/EFP), and consensus of Chinese experts (CCE). Sensitivity, specificity, positive predictive value, negative predictive value, Youden's index, and area under the receiver operating characteristic curve (AUROC) compared with FMPE were evaluated.

RESULTS

The specificity of RT was 86.8%, 92.2%, and 77.1% when compared with FMPE protocol based on CDC/AAP, AAP/EFP, and CCE classifications, while the AUROC value was 0.934, 0.961, and 0.886 specifically. The loss of the first molar leads to the greatest reduction in the detection rate of severe periodontitis.

CONCLUSIONS

RT showed the highest specificity based on the new AAP/EFP classification. The loss of the first molar leads to the greatest reduction in the detection rate of severe periodontitis.

Hsa-miR-342-3p and hsa-miR-360 may be the key molecules that promote periodontitis in type 2 diabetes mellitus

Background

Periodontitis (PD) has been acknowledged as a complication associated with type 2 diabetes mellitus (T2DM). However, the precise mechanism through which T2DM fosters the development of PD remains elusive. Our objective is to elucidate the connection between these two conditions by conducting bioinformatics analysis.

Methods

In this study, we analyzed miRNA datasets pertaining to T2DM and PD sourced from GEO. Through differential expression analysis, we identified common differentially expressed miRNAs (DE-miRNAs) and subsequently analyzed the functional enrichment of these common DE-miRNAs. We further leveraged the PD transcriptome database to select DE-miRNA-targeted mRNAs and examined their association with immune infiltration. Finally, machine learning was used to further screen hub DE-miRNA-targeted mRNAs and validate our data in external datasets.

Results

Two common DE-miRNAs, namely hsa-miR-342-3p and hsa-miR-360, were identified from the miRNA datasets of PD and T2DM. Functional enrichment analysis indicated that these two common DE-miRNAs predominantly participate in Ras, PI3K-Akt, p53, and MAPK signaling pathways. Integration of the PD transcriptome dataset revealed a total of 21 DE-miRNA-targeted mRNAs in PD, with strong correlations observed with plasma cells and dendritic cells. Finally, three hub DE-miRNA-targeted mRNAs (hsa-miR-342-3p-/hsa-miR-360-RASAL2, hsa-miR-360-ENTPD1/PLXDC2) were identified. ENTPD1 exhibited a robust positive correlation with plasma cells and a negative correlation with resting dendritic cells.

Conclusions

Therefore, hsa-miR-342-3p-/hsa-miR-360-RASAL2, as well as hsa-miR-360-ENTPD1/PLXDC2, may serve as diagnostic and therapeutic targets for T2DM-associated PD.

Association between metabolic syndrome and salivary MMP-8, myeloperoxidase in periodontitis

OBJECTIVE

This study investigated the effect of metabolic syndrome (MetS) on periodontal clinical parameters and salivary biomarkers' matrix metalloproteinase-8 (MMP-8) and myeloperoxidase (MPO) in patients with periodontitis.

METHODS

A total of 120 participants aged 25-55 were categorized into three groups: MetS with periodontitis (n = 40); systemically healthy with periodontitis (n = 40); and systemically and periodontally healthy controls (n = 40). Data collected included systemic parameters like waist circumference (WC), blood pressure (BP), high- and low-density lipoproteins, triglycerides (TG), fasting blood sugar (FBS), and glycated hemoglobin (HbA1c). Periodontal parameters estimated included bleeding on probing score (BoP), full-mouth plaque score (FMPS), periodontal probing depth (PPD), clinical attachment loss (CAL), and the number of missing teeth. Unstimulated whole saliva was analyzed via ELISA for active MMP-8 (aMMP-8), total MMP-8 (tMMP-8), and MPO.

RESULTS

Participants with MetS and periodontitis exhibited significantly higher periodontal parameters, salivary aMMP-8, and MPO (26.26 vs. 24.1 ng/mL and 13.53 vs. 11.55 ng/mL compared to systemically healthy periodontitis patients) (all p < 0.01). Positive correlations occurred between aMMP-8 and WC, TG, and FBS (p < 0.01), and between MPO and WC, BP, and TG (p < 0.01).

CONCLUSIONS

The positive associations between these biomarkers and metabolic parameters indicate their potential utility for monitoring cardiovascular and glycemic risk in patients with periodontal disease.

The PocketPerio application significantly increases the accuracy of diagnosing periodontal conditions in didactic and chairside settings

The study aimed to determine the accuracy of diagnosing periodontal conditions using the developed web-based PocketPerio application and evaluate the user's perspective on the use of PocketPerio. First, 22 third-year dental students (DS3) diagnosed ten cases without PocketPerio (control) and with PocketPerio (test) during a mock examination. Then, 105 DS3, 13 fourth-year dental students (DS4), and 32 senior second-year International Standing Program students (ISP2) used PocketPerio chairside. Statistical analysis was performed using a non-parametric paired two-tailed test of significance with the Wilcoxon matched-pairs signed rank test. The null hypothesis that PocketPerio did not increase the accuracy of periodontal diagnoses was rejected at α < 0.01. Periodontal diagnoses made using PocketPerio correlated with those made by periodontics faculty ("gold standard") in all cases. During the mock examination, PocketPerio significantly increased the accuracy of periodontal diagnoses compared to the control (52.73 vs. 13.18%, respectively). Chairside, PocketPerio significantly increased the accuracy of primary (100 vs. 40.0%) and secondary (100 vs. 14.25%) periodontal diagnoses compared to the respective controls. Students regardless of their training year felt more confident in diagnosing periodontal conditions using PocketPerio than their current tools, provided positive feedback on its features, and suggested avenues for its further development.

ACES: A new framework for the application of the 2018 periodontal status classification scheme to epidemiological survey data

AIM

To propose a framework for consistently applying the 2018 periodontal status classification scheme to epidemiological surveys (Application of the 2018 periodontal status Classification to Epidemiological Survey data, ACES).

PROPOSED FRAMEWORK

We specified data requirements and workflows for either completed or planned epidemiological surveys, utilizing commonly collected measures of periodontal status (clinical attachment levels [CAL], probing depths, bleeding on probing), as well as additional necessary variables for the implementation of the 2018 periodontal status classification (tooth loss due to periodontitis and complexity factors). Following detailed instructions and flowcharts, survey participants are classified as having periodontal health, gingivitis or periodontitis. Rates of edentulism must also be reported. In cases of periodontitis, instructions on how to compute the stage and extent are provided. Assessment of grade can be derived from CAL measurements (or from radiographic alveolar bone loss data) in relation to root length and the participant's age.

CONCLUSIONS

ACES is a framework to be used in epidemiological studies of periodontal status that (i) have been completed, and in which stage and grade according to the 2018 classification are inferred retroactively, or (ii) are being planned. Consistent use of the proposed comprehensive approach will facilitate the comparability of periodontitis prevalence estimates across studies.

Periodontal disease in patients with WHIM syndrome

AIM

WHIM (warts, hypogammaglobulinaemia, infections and myelokathexis) syndrome is a rare combined primary immunodeficiency disease caused by gain-of-function (GOF) mutations in the chemokine receptor CXCR4 and includes severe neutropenia as a common feature. Neutropenia is a known risk factor for periodontitis; however, a detailed periodontal evaluation of a WHIM syndrome cohort is lacking. This study aimed to establish the evidence base for the periodontal status of patients with WHIM syndrome.

MATERIALS AND METHODS

Twenty-two adult WHIM syndrome patients and 22 age- and gender-matched healthy volunteers (HVs) were evaluated through a comprehensive medical and periodontal examination. A mouse model of WHIM syndrome was assessed for susceptibility to naturally progressing or inducible periodontitis.

RESULTS

Fourteen patients with WHIM syndrome (63.6%) and one HV (4.5%) were diagnosed with Stage III/IV periodontitis. No WHIM patient presented with the early onset, dramatic clinical phenotypes typically associated with genetic forms of neutropenia. Age, but not the specific CXCR4 mutation or absolute neutrophil count, was associated with periodontitis severity in the WHIM cohort. Mice with a Cxcr4 GOF mutation did not exhibit increased alveolar bone loss in spontaneous or ligature-induced periodontitis.

CONCLUSIONS

Overall, WHIM syndrome patients presented with an increased severity of periodontitis despite past and ongoing neutrophil mobilization treatments. GOF mutations in CXCR4 may be a risk factor for periodontitis in humans.

Untargeted Metabolomics Analysis of Gingival Tissue in Patients with Severe Periodontitis

The purpose of this study was to determine potential metabolic biomarkers and therapeutic drugs in the gingival tissue of individuals with periodontitis. Liquid chromatography-mass spectrometry (LC-MS) and gas chromatography-mass spectrometry (GC-MS) were used to analyze the gingival tissue samples from 20 patients with severe periodontitis and 20 healthy controls. Differential metabolites were identified using variable important in projection (VIP) values from the orthogonal partial least squares discrimination analysis (OPLS-DA) model and then verified for significance between groups using a two-tailed Student's t test. In total, 65 metabolites were enriched in 33 metabolic pathways, with 40 showing a significant increase and 25 expressing a significant decrease. In addition, it was found that patients with severe periodontitis have abnormalities in metabolic pathways, such as glucose metabolism, purine metabolism, amino acid metabolism, and so on. Furthermore, based on a multidimensional analysis, 12 different metabolites may be the potential biomarkers of severe periodontitis. The experiment's raw data have been uploaded to the MetaboLights database, and the project number is MTBLS8357. Moreover, osteogenesis differentiation characteristics were detected in the selected metabolites. The findings may provide a basis for the study of diagnostic biomarkers and therapeutic metabolites in severe periodontitis.

Identification of potential crosstalk genes and mechanisms between periodontitis and diabetic nephropathy through bioinformatic analysis

Periodontitis and diabetic nephropathy are significant public health concerns globally and are closely related with each other. This study aimed to identify potential crosstalk genes, pathways, and mechanisms associated with the interaction between periodontitis and diabetic nephropathy. Expression profiles of periodontitis and diabetic nephropathy were retrieved from the Gene expression omnibus gene expression omnibus database, and differentially expressed genes (DEGs) were screened, followed by identification of co-expressed differential genes. Gene ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed using R software. A protein-protein interaction network was constructed via STRING website, and key crosstalk genes were selected using Cytoscape. Subsequent gene ontology and KEGG analyses were conducted for the key genes, and a validation dataset was obtained from the gene expression omnibus database for differential gene validation. The TRRUST website was employed to identify transcription factors (TFs) associated with the key crosstalk genes between periodontitis and diabetic nephropathy, followed by differential analysis of TFs. A total of 17 crosstalk genes were obtained. Among them, SAMSN1, BCL2A1, interleukin-19, IL1B, RGS1, CXCL3, CCR1, CXCR4, CXCL1, and PTGS2 were identified as key crosstalk genes between periodontitis and diabetic nephropathy. Additionally, 16 key TFs were discovered. This bioinformatic analysis revealed potential crosstalk genes between periodontitis and diabetic nephropathy. The identified key genes participate in signaling pathways, including cytokine signaling and chemokine signaling transduction, which might collectively influence these 2 diseases. These genes may serve as potential biomarkers guiding future research in this field.

Factors associated with periodontal diseases in pregnancy: Findings of the 2015 Pelotas Birth Cohort Study

Although periodontal disease is common during pregnancy, little is known about socioeconomic, behavioral, or biological determinants related to clinically assessed periodontal condition during this period. We assessed the prevalence of periodontal disease and associated factors in pregnant women. This population-based survey used data used from the 2015 Pelotas Birth Cohort Study, Brazil. Pregnant women expected to give birth between December 2014 and May 2016 were interviewed and clinically examined by trained dentist, with periodontal measures collected in all teeth, six sites per tooth. Outcomes were periodontitis (using the 2012 Centers for Disease Control and Prevention and the American Academy of Periodontology criteria) and gingivitis (by the 2018 European Federation of Periodontology/ American Academy of Periodontology classification). Multivariate hierarchical Poisson regression was used to assess the associations between socioeconomic, systemic, and clinical oral factors and periodontal disease. A total of 2,474 pregnant women participated in the study. Prevalence of periodontitis and gingivitis was 14.63% and 21.67%, respectively. Lower educational level and calculus were associated with higher prevalence periodontitis and gingivitis (P<0.05). Smoking was also associated with periodontitis (P=0.05), and lower frequency of toothbrushing (P=0.005) with gingivitis. Periodontal disease, especially gingivitis, was prevalent in pregnant women and their determinants were socioeconomic, environmental, and clinical oral health factors.

Discriminant validity of the current gingivitis classification in adolescents: a cohort study

OBJECTIVES

To compare the prevalence of gingivitis estimated by the 2018 European Federation of Periodontology/American Academy of Periodontology (EFP/AAP) classification with the other case definitions and assess the ability of this classification system in discriminating sociodemographic and clinical factors associated with the presence of gingivitis in a cohort study.

MATERIALS AND METHODS

A multistage random sample of 1134 12-year-old adolescents was submitted to a full-mouth examination according to the Community Periodontal Index. Socioeconomic and clinical variables were collected at baseline. Gingivitis was considered according to the following criteria: (a) ≥ 10% of bleeding sites (the 2018 EFP/AAP criteria); (b) ≥ 15% of bleeding sites; and (c) the mean full-mouth bleeding sites. Adjusted multilevel Poisson regression assessed the association between independent variables at baseline and each definition of gingivitis at 2-year follow-up.

RESULTS

Seven hundred forty-two 14-year-old adolescents were re-revaluated at follow-up. The prevalence of gingivitis was 28.7% according to 10% of bleeding threshold. The 2018 EFP/AAP criteria and other definitions showed higher prevalence and mean of gingivitis for low-household income adolescents and for those with higher levels of dental plaque and untreated dental caries. Nonetheless, the highest strengths of association were observed for the threshold of ≥ 15% of bleeding sites.

CONCLUSION

The 2018 EFP/AAP case definition of gingivitis showed a similar discriminant validity compared to the 15% threshold and the mean full-mouth bleeding sites.

CLINICAL RELEVANCE

The 2018 EFP/AAP classification allows the discrimination of important risk factors and should be used for the establishment of priorities for large-scale therapeutic programs.

Assessing the surveillance use of 2018 EFP/AAP classification of periodontitis: A validation study and clustering analysis

BACKGROUND

The performance of the 2018 European Federation of Periodontology/American Academy of Periodontology (EFP/AAP) classification of periodontitis for epidemiology surveillance purposes remains to be investigated. This study assessed the surveillance use of the 2018 EFP/AAP classification and its agreement with the unsupervised clustering method compared with the 2012 Centers for Disease Control and Prevention(CDC)/AAP case definition.

METHODS

Participants (n = 9424) in the National Health and Nutrition Examination Survey (NHANES) were staged by the 2018 EFP/AAP classification and classified into subgroups via k-medoids clustering. Concordance levels between periodontitis definitions and the clustering method were evaluated through the multiclass area under the receiver operating characteristic curve (multiclass AUC) among "periodontitis cases" and the general population, respectively. The multiclass AUC of the 2012 CDC/AAP definition versus clustering was used as a reference. The associations of periodontitis with chronic diseases were estimated using multivariable logistic regression.

RESULTS

All the participants were identified as "periodontitis cases" by the 2018 EFP/AAP classification, and the prevalence of stage III-IV was 30%. The optimal numbers of clusters were three and four. The 2012 CDC/AAP definition versus clustering yielded a multiclass AUC of 0.82 and 0.85 among the general population and "periodontitis cases," respectively. The multiclass AUC of the 2018 EFP/AAP classification versus clustering was 0.77 and 0.78 for different target populations. Similar patterns prevailed in associations with chronic diseases between the 2018 EFP/AAP classification and clustering.

CONCLUSIONS

The validity of the 2018 EFP/AAP classification was verified by the unsupervised clustering method, which performed better in distinguishing "periodontitis cases" than classifying the general population. For surveillance purposes, the 2012 CDC/AAP definition showed a higher agreement level with the clustering method than the 2018 EFP/AAP classification.

Association between oral health and cognitive function among Chinese older adults: the Taizhou imaging study

BACKGROUND

We aimed to investigate the association between oral health and cognitive function in a sample of older adults from a Chinese rural community.

METHODS

The cross-sectional cognitive function of 677 individuals were assessed by Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). A comprehensive profile of the oral health status was evaluated by questionnaire and clinical examination.

RESULTS

Multiple covariates-adjusted regression models demonstrated decayed teeth (DT) and decayed/missing/filled teeth (DMFT) were negatively associated with MoCA score (all p < 0.05). Calculus index (CI) and clinical attachment loss (CAL) were significantly associated with the lower MoCA, short-term memory and executive function score, respectively (all p < 0.05). Additionally, participants with missing teeth unrestored tend to get lower MMSE and MoCA scores (p < 0.05). The results also showed that increased DT and CI were modestly associated with higher odds of cognitive impairment (p < 0.05).

CONCLUSIONS

There is an association between oral health and global cognition. Poor periodontal status was strongly associated with worse global cognition performance, especially in the short-term memory and executive domain for the aging population.

Association between C-Reactive protein and periodontitis in an obese population from the NHANES 2009-2010

BACKGROUND

Various data have been obtained on the relationship between body mass index (BMI) and C-reactive protein (CRP) and periodontitis. The aim of this study was to determine whether CRP/BMI are associated with periodontitis using data from the National Health and Nutrition Examination Survey (NHANES) database.

METHODS

A cross-sectional analysis of data from 3602 participants in the 2009-2010 NHANES cycle was performed. The definition of periodontitis was used to divide participants into four groups according to the criteria of Eke. Correlations between CRP/BMI and periodontitis were tested for statistical significance by means of descriptive statistics, multivariate regression, and subgroup-stratified analyses, with and without adjustments for confounders (such as age and sex).

RESULTS

There were no statistically significant differences (p > 0.05) regarding BMI and the development of periodontitis. After adjustment for age, sex, race, marital status, annual family income, alcohol consumption, hypertension, smoking, chronic pulmonary disease, cardiovascular disease, diabetes, flossing, and arthritis, CRP correlated significantly with the development of periodontitis in the subgroups stratified by obesity, with an odds ratio (OR) of 1.2 (95% CI, 1.0 to 1.5).

CONCLUSION

Through data analysis, we found an association between CRP levels and periodontitis prevalence in the American population, although this association was only present in the obese population. While there are several hypotheses about the underlying mechanism, further studies are needed to validate these findings.

Relationship between the subgingival microbiome and menopausal hormone therapy use: The Buffalo OsteoPerio study

BACKGROUND

This study investigated the association between menopausal hormone therapy (HT) use and the subgingival microbiome, for which published information is limited.

METHODS

This cross-sectional study included 1270 postmenopausal women, aged 53-81 years, who completed clinical examinations. Detailed information on HT use (type, delivery mode, duration) was obtained from questionnaires. HT use was categorized into three groups (never, former, current). 16S rRNA sequencing was performed on subgingival plaque samples obtained during dental examinations. Operational taxonomic units were centered log2-ratio (CLR) transformed to account for the compositional data structure. Analysis of variance was used to compare mean microbial relative abundances across HT categories with Benjamini-Hochberg correction.

RESULTS

Significantly higher alpha diversity (Shannon Index) and beta diversity (Aitchison distance) was observed in never compared with current HT users (p < 0.05, each). Of the total 245 microbial taxa identified, 18 taxa differed significantly among the three HT groups, 11 of which were higher in current users and seven of which were lower in current users as compared with never users (p < 0.05, each). Differences in relative abundance between never and current HT users were materially unchanged after adjustment for age, body mass index, and oral hygiene.

CONCLUSIONS

Relative abundance of several subgingival bacteria differed significantly between never and current HT users in a cohort of postmenopausal women. Additional studies are needed to determine the extent that these relationships might account for the previously reported inverse association between HT use and periodontal disease in older women.

Diagnostic performance of the AAP/EFP classification and the CDC/AAP case definition among pregnant women and a practical screening tool for maternal periodontal diseases

BACKGROUND AND OBJECTIVE

There is a limited number of studies on the performance assessment of the 2017 AAP/EFP classification and the CDC/AAP case definition among pregnant females. This study evaluated the agreement between these two systems and explored a practical tool for screening maternal periodontal diseases by general dentists.

MATERIALS AND METHODS

Totally, 204 systemically healthy females at different phases of pregnancy underwent a full-mouth periodontal examination. Demographic characteristics, lifestyles, and systemic conditions were recorded. Referring to the CDC/AAP definition, the diagnostic performance of the AAP/EFP classification was evaluated by the area under the ROC curve (AUC) and statistical tests (e.g., Youden's index and kappa coefficient). Additionally, a modified scoring system of the FDI Periodontal Diseases Chairside Guide (FDI-CG) was formulated with the addition of pregnancy for testing accordingly.

RESULTS

Overall, there were 22.1% of the participants in early phase of pregnancy (7-13 weeks) and 77.9% in late phase (34-36 weeks). The majority of them were below 35 years and non-smokers without gestational diabetes. Notably, 30.9% of subjects presented with Moderate/Severe periodontitis (CDC/AAP), and 35.8% with Stages II-IV periodontitis (AAP/EFP). Referring to the CDC/AAP definition, the AUC, Youden's index, and κ of the AAP/EFP classification were 0.979, 0.890, and 92.9%, respectively. The modified FDI-CG system improved the AUC (0.815), Youden's index (63.0%), and κ (0.544) with reference to the original one.

CONCLUSIONS

This study shows that the AAP/EFP classification is in high agreement with the CDC/AAP definition among the pregnant women. The phases of pregnancy-integrated FDI scoring system may serve as a convenient screening tool for maternal periodontal diseases in general dental practice.

Identification of cross-talk pathways and ferroptosis-related genes in periodontitis and type 2 diabetes mellitus by bioinformatics analysis and experimental validation

Purpose

There is a bidirectional relationship between periodontitis and type 2 diabetes mellitus (T2DM). The aim of this study was to further explore the pathogenesis of this comorbidity, screen out ferroptosis-related genes involved in the pathological process, and predict potential drug targets to develop new therapeutic strategies.

Methods

Common cross-talk genes were identified from periodontitis datasets (GSE16134, GSE10334 and GSE106090) and T2DM databases (DisGeNET and GeneCard). Then, GO and KEGG enrichment analyses, PPI network analysis and hub gene identification were performed. The association between ferroptosis and periodontitis with T2DM was investigated by Pearson correlation analysis. Core ferroptosis-related cross-talk genes were identified and verified by qRT-PCR. Potential drugs targeting these core genes were predicted via DGIDB.

Results

In total, 67 cross-talk genes and two main signalling pathways (immuno-inflammatory pathway and AGE-RAGE signalling pathway) were identified. Pearson correlation analysis indicated that ferroptosis served as a crucial target in the pathological mechanism and treatment of periodontitis with T2DM. IL-1β, IL-6, NFE2L2 and ALOX5 were identified as core ferroptosis-related genes and the qRT-PCR detection results were statistically different. In total, 13 potential drugs were screened out, among which, Echinacea and Ibudilast should be developed first.

Conclusions

This study contributes to a deeper understanding of the common pathogenesis of periodontitis and T2DM and provides new insights into the role of ferroptosis in this comorbidity. In addition, two drugs with potential clinical application value were identified. The potential utility of these drugs requires further experimental investigation.

Periodontitis in Ischemic Stroke Patients: Case Definition Challenges of the New Classification Scheme (2018)

The identification of the associative relationships between ischemic stroke (IS) and risk factors such as advanced age and periodontitis is essential to design real screening protocols and to address them using primary and secondary preventive policies. This study primarily aimed to evaluate the diagnostic performance of the 2018 European Federation of Periodontology/American Academy of Periodontology (EFP/AAP) case definition in detecting periodontitis against the 2012 Centers for Disease Control and Prevention/American Academy of Periodontology (CDC/AAP) case definition in a group of IS patients. Secondarily, we report the periodontal status of IS patients and the associative relationship with respect to some risk factors. Patients with their first IS were assessed based on demographic data, medical, oral risk factors and periodontal parameters. The two case definitions were applied to identify the periodontitis burden. The agreement between the two case definition systems, as well as the misclassification ratio, were calculated. A total of 141 patients were included. According to the 2012 CDC/AAP and the 2018 EFP/AAP case definitions, a frequency of periodontitis of 98.5% and 97.8% based on two modalities of inclusion of cases in the severity groups, sensitivity values of 98.54% or 100%, and specificity values of 25% or 14.7% were calculated. Thus, the new case definition system has a higher capacity to detect periodontitis, especially the well-established forms.

Incidence of Arterial Hypertension in People With Periodontitis and Characterization of the Oral and Subgingival Microbiome: A Study Protocol

Cardiovascular diseases are the leading cause of morbidity and mortality worldwide. High blood pressure in particular, continues to increase throughout the global population at an increasingly fast pace. The relationship between arterial hypertension and periodontitis has been recently discussed in the context of its origins and implications. Particularly relevant is the role of the periodontal microbiome linked to persistent local and systemic inflammation, along with other risk factors and social determinants of health. The present protocol will investigate/assess the association between periodontal disease and its microbiome on the onset of hypertension, within a cohort from Mexico City. One thousand two hundred twelve participants will be studied during a 60-month period. Studies will include analysis of periodontal conditions, sampling and sequencing of the salivary and subgingival microbiome, interviews on nutritional and lifestyle habits, social determinants of health, blood pressure and anthropometric measurements. Statistical associations and several classic epidemiology and machine learning approaches will be performed to analyze the data. Implications for the generation of public policy—by early public health interventions or epidemiological surveillance approaches—and for the population empowerment—via the establishment of primary prevention recommendations, highlighting the relationship between oral and cardiovascular health—will be considered. This latter set of interventions will be supported by a carefully planned science communication and health promotion strategy. This study has been registered and approved by the Research and Ethics Committee of the School of Dentistry, Universidad Nacional Autónoma de México (CIE/0308/05/2019) and the National Institute of Genomic Medicine (CEI/2020/12). The umbrella cohort was approved by the Institutional Bioethics Committee of the National Institute of Cardiology-Ignacio Chavez (INC-ICh) under code 13-802.

Performance of the 2017 AAP/EFP case definition compared to the CDC/AAP definition in population-based studies

BACKGROUND

Classification of the periodontal conditions is indispensable for epidemiological data in order to guide situational awareness and therapeutic strategies. The new classification of periodontal diseases and conditions introduced by the American Academy of Periodontology and the European Federation of Periodontology (AAP/EFP), however, has not yet been applied to population-based studies. The aim of the present study was to compare the prevalence of periodontitis between the AAP/EFP and the CDC/AAP classification system and to evaluate the accuracy of the new AAP/EFP classification system against the CDC/AAP case definition for population-based studies.

METHODS

Epidemiological data from two cross-sectional studies were obtained. One of them was a population-based study on Chilean adults (1.456 individuals; 35-44 years; 65-74 years) and the other one a sample of adolescents (1.070 individuals; 15-19 years) from 5 countries; Argentina, Chile, Colombia, Ecuador and Uruguay. All participants had undergone full-mouth periodontal examination by calibrated examiners. Epidemiological datasets were analyzed according to the AAP/EFP and the CDC/AAP case definitions. The accuracy of the AAP/EFP definition was examined by assessing the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and area under the receiver operating curve (ROC) using the CDC/AAP case definition as the reference standard.

RESULTS

According to the AAP/EFP, the prevalence of periodontitis in adolescents was 75.6%. The majority of the adolescents were classified either as stage I (39.2%) or stage II (28.2%). By using the CDC/AAP classification the prevalence of periodontitis in adolescents was 27.2%. The most common form of periodontitis with the CDC/AAP classification was moderate periodontitis (15.3%) followed by mild periodontitis (11.4%). The AAP/EFP revealed high sensitivity in moderate (95.7%) and severe periodontitis (100%) as well as a moderate (75%) to high specificity (92%) in moderate and severe periodontitis, respectively. The PPV was 41.6% in moderate and 5.7% in severe periodontitis while the NPV was high in both categories (moderate = 99%; severe = 100%). The AUC was 0.912 (95% CI = 0.89 - 0.93). In adults, the prevalence of periodontitis was 99% according to the AAP/EFP. The majority of adults were classified as stage IV (81.3%) whereas stage III amounted to 12.8%. By using the CDC/AAP classification, the prevalence of periodontitis in adults was 88.3% and the most common form of periodontitis was moderate periodontitis (57.2%) followed by severe periodontitis (29.7%). In adults, the AAP/EFP revealed high sensitivity in moderate (99.7%) and severe periodontitis (100%) but low specificity in both categories (moderate = 6.8%; severe = 8.3%). The PPV was 88.7% in moderate and 31.7% in severe periodontitis. The NPV was high in both categories (moderate = 76.5%; severe = 100%). The AUC was 0.573 (95% CI = 0.53 - 0.62).

CONCLUSIONS

This study revealed a clear discrepancy in the prevalence of periodontitis between the AAP/EFP and the CDC/AAP classification when using epidemiological data. The 2017 AAP/EFP classification system performs well compared to the CDC/AAP case definition in identifying adolescents with periodontitis. The AAP/EFP system seems less accurate in adults with high prevalence of periodontitis. This article is protected by copyright. All rights reserved.

Diagnostic accuracy of severe periodontitis case definitions: Comparison of the CDC/AAP, EFP/AAP, and CPI criteria

BACKGROUND

This cross-sectional study aimed to evaluate the diagnostic accuracy of severe periodontitis by three different case definitions.

METHODS

Patients aged >35 years (n = 243, mean age = 47.8 ± 9.3 years) were evaluated by periodontal examinations and classified in patients with severe periodontitis according to the case definition proposed by the Centers for Disease Control and Prevention (CDC) in collaboration with the American Academy of Periodontology (AAP)-CDC/AAP, the new periodontal disease classification proposed jointly by the AAP and the European Federation of Periodontology (EFP/AAP), and the Community Periodontal Index (CPI). The primary outcome was to compare the diagnostic accuracy of severe periodontitis between the three case definitions. Sensitivity (SS), specificity (SP), and area under the receiver operating characteristic (ROC) curve were used to analyze the accuracy.

RESULTS

The proportion of subjects presenting the most severe definitions of each classification was: severe periodontitis (CDC/AAP) = 47.3%, type III and IV periodontitis (EFP/AAP) = 43.2% and CPI code 4 = 44.4%. When comparing the CDC/AAP case definitions with the EFP/AAP classification, SS, SP, and ROC of 81.7%, 91.4%, and 0.866 (CI, 95%: 0.816 to 0.916), respectively, were obtained. Similarly, when comparing CDC/AAP to CPI code 4, SS, SP, and ROC of 81.7%, 89.1%, and 0.854 (CI, 95%: 0.802 to 0.906), respectively, were obtained. When type III and IV periodontitis (EFP/AAP) was compared with CPI code 4, the values were 92.4%, 92%, and 0.922 (CI, 95%: 0.883 to 0.961), respectively.

CONCLUSIONS

The EFP/AAP classification and the CPI demonstrated high diagnostic accuracy with the CDC/AAP case definition to diagnose severe periodontitis.

The effect of obesity on periodontitis progression: the 10-year retrospective cohort study

OBJECTIVE

Due to inconsistent findings in limited previous cohort studies, the aim of this study was to estimate the obesity effect on periodontitis progression in Thai adults.

MATERIALS AND METHODS

This 10-year retrospective cohort study comprised 2216 employees of the Electric Generation Authority of Thailand (EGAT). Their demographic, medical, and periodontal status was collected. Subjects with periodontitis progression were defined as having ≥ 2 teeth with progression. Additional proximal clinical attachment loss ≥ 3 mm or tooth loss with severe periodontitis at baseline were used to identify disease progression at the tooth level. Central obesity was classified using the waist-hip ratio. Multi-level Poisson regression was used to determine the effect of obesity on periodontitis progression by adjusting for age, sex, education, income, smoking, alcohol drinking, exercise, diabetes mellitus, and hypertension.

RESULTS

The cumulative incidence of periodontitis progression during the 10-year period was 59.6 cases per 100 persons (95% CI: 57.5, 61.6). The univariate analysis indicated that obese subjects had 15% higher risk of progression than that of healthy subjects. However, when confounders were analyzed simultaneously, the effect of obesity was not significant with a risk ratio of 0.98 (95% CI: 0.88, 1.08).

CONCLUSIONS

Despite the higher incidence of disease progression in the obese, obesity is not an independent risk factor for periodontitis progression.

CLINICAL RELEVANCE

Obesity and periodontitis progression share many common risk factors. Using the obesity as a preliminary screening for periodontitis progression may be an alternative prevention protocol.