Periodontal Disease Status Research Articles

Understanding canine oral neoplasia: intrinsic rather than extrinsic features represent key risk factors in a 39-year analysis.

Canine oral neoplasia is often detected late in the course of the disease, necessitating radical surgeries frequently combined with adjuvant chemotherapy or radiotherapy for positive outcomes. Although there has been extensive analytical and epidemiologic work on human oral cancer, research in veterinary medicine has been lacking. This study aimed to evaluate the prevalence and risk factors associated with canine oral neoplasia to enhance early detection by improving screening. Patient data from 1985 to 2024 from the University of California-Davis Veterinary Teaching Hospital were bulk extracted to determine prevalence as well as the effect of clinical and environmental risk factors, including sex, breed, oral location, air quality, and periodontal disease status. The median air quality index (AQI) data were extrapolated from the Environmental Protection Agency's database. Periodontal disease status was evaluated on patient CT scans. The incidence of oral tumors was 4.59/1,000 patients. The median age upon diagnosis was 9.66 years, and 3 breeds were identified as significantly at risk compared to the general patient population. Air quality index, geographical location, and periodontal disease were not associated with oral neoplasia. Different tumor histologies had distinct oral predilection sites. Overall, there was a significant correlation between age/breed and oral neoplasms. Tumor locations were significantly different for each pathology. Other risk factors did not play a substantial role in disease. These findings can aid veterinarians and researchers in targeting screening and treatment strategies in high-risk dogs.

Does non-surgical periodontal treatment contribute to rheumatoid arthritis amelioration? Evidence based on an overview and meta-analysis.

The aim of the present study was to provide an overview evaluating the effects of non-surgical periodontal treatment in rheumatoid arthritis, focusing on 28-joint Disease Activity Score (DAS28), C-reactive protein, and erythrocyte sedimentation rate. Systematic reviews, with and without meta-analyses, comparing individuals who had undergone non-surgical periodontal treatment with those who had not, and assessing parameters before and after treatment, were included. Electronic searches were conducted in August 2023 and updated in August 2024 across four databases (PubMed, Scopus, Embase, and Web of Science) and gray literature, with no restriction on language or publication date. The study followed the 2020 PRISMA statement, and a protocol was registered in PROSPERO (CRD42023414714). A total of 10 systematic reviews were included: six with meta-analyses and four without meta-analyses. The number of articles included ranged from three to 31 studies. Non-surgical periodontal treatment resulted in a significant decrease in C-reactive protein, erythrocyte sedimentation rate, and DAS28. The follow-up period after treatment ranged from six to 24weeks. A meta-analysis was conducted, incorporating data from 18 primary studies identified in the systematic reviews and comparing the difference in DAS28 at baseline (n = 454) and up to three months (n = 449) after the non-surgical periodontal treatment. A significant reduction in DAS28 was observed (MD = -0.76; 95% CI = -1.07 to -0.44). Despite the heterogeneity of data related to rheumatoid arthritis and periodontitis status, non-surgical periodontal treatment can result in a decrease in the concentration of circulating inflammatory mediators and, consequently, in a reduction in DAS28 in rheumatoid arthritis.

Association of ABO phenotype, rhesus factor, platelet count and hemoglobin level with oral hygiene status and severity of chronic periodontitis

BackgroundThe development of periodontal diseases has multifactorial causes including genetic factors. Limited investigations have been conducted to explore the association between ABO blood groups and the development and progression of periodontal diseases. AimTo evaluate and assess the association of ABO Phenotype and Rhesus factor with oral hygiene status, severity of chronic periodontitis and blood parameters like hemoglobin level and Platelet count in localized and generalized chronic periodontitis. Material and methodsStudy was carried out on 100 patients, out of which 80 patients of Generalized Chronic Periodontitis and 20 patients of Localized Chronic Periodontitis. Patients were categorized into Mild, Moderate and Severe Periodontitis. ResultA highly significant association was found between severity of periodontitis and blood groups with blood group B and O were found to be at a greater risk to develop moderate to severe form of chronic periodontitis. Also subjects with blood group B and O showed worst oral hygiene among all the blood groups. Also patients suffering from chronic periodontitis showed a general trend towards lower limit of both hemoglobin level and platelet. ConclusionGenetic factors such as ABO blood group antigens may act as a risk influencer that plays a role in progression and severity of the chronic periodontitis, with blood group B and O being worst affected. Another observation was that a long standing case of chronic periodontitis can lead to anemia thus having systemic implications.

Synergistic effect of periodontitis and C-reactive protein levels on mortality: NHANES 2001-2004.

Periodontitis is associated with elevated C-reactive protein (CRP) levels. Although the coexistence of periodontitis and elevated CRP levels may heighten the risk of mortality, previous studies have not confirmed their synergistic effect. Understanding this interaction is crucial for identifying potential interventions to reduce mortality risk in individuals with periodontitis. This study aimed to assess the synergistic effects of periodontitis and elevated CRP levels on mortality in 7,938 adult individuals who participated in the National Health and Nutrition Examination Study 2001-2004. The association of periodontitis status and CRP levels with mortality was assessed using a survey-weighted Cox model. The interactive effect was estimated; the synergistic effect of CRP levels and periodontitis status on mortality was assessed using the relative excess risk due to interaction (RERI). Periodontitis was diagnosed in 1,065 (13.4%) participants. Compared with the participants without periodontitis and possessing CRP levels of ≤ 0.5 mg/dL, those with periodontitis (hazard ratio [HR], 1.38) or CRP levels of > 0.5 mg/dL (HR 1.23) had higher HRs. The participants with both periodontitis and CRP levels of > 0.5 mg/dL had the highest HR of 2.01. The additive scale interactive effect of the periodontal status and CRP levels, measured using RERI 0.41 (-0.07, 0.95), was positive and nearly significant in the total population. The synergy between the periodontal status and CRP levels was more prominent in the participants aged ≥60 years than that in younger individuals. Periodontitis with high CRP levels may indicate a high mortality rate, indicating the importance of active monitoring and intensive management of periodontitis and inflammatory markers.

Association between sleep and periodontitis: NHANES 2009-2014 and Mendelian randomization study

ABSTRACT Objective We assessed association between periodontitis and sleep patterns. Methods Our study included 7289 participants based on a large-scale study in NHANES. Periodontitis was defined through an oral examination. We used logistic regression to explore association between sleep status and risk of periodontitis. Further, stratified analysis was conducted. We performed a Mendelian randomization (MR) analysis using publicly available genetic data from corresponding studies. Results Odds Ratio (OR) of periodontitis was 1.25 (1.07–1.46) in individuals with < 7 hours/per night. Stratification analysis showed individuals under 45 years old (OR: 1.28, 95% CI: 1.07–1.54), women (1.28(1.07–1.54)), education levels below high school (1.45(1.03–2.05)) and higher family income (-1.28(1.06–1.56)) were more likely to deteriorate to periodontitis if sleep time less than 7 hours. IVW-MR showed periodontitis risk was not associated with genetically increased levels of sleep time (0.22 (0.02–3.05)) or insomnia (0.83(0.55–1.24)). Conclusion There was no indication that sleep status was associated with periodontitis.

Serum vitamin D concentration is inversely associated with matrix metalloproteinase‐9 level in periodontal diseases

AbstractBackgroundThe aim of this study was to investigate the potential association between vitamin D deficiency and matrix metalloproteinase‐9 (MMP‐9) levels in gingival crevicular fluid (GCF) across various periodontal health and disease statuses.MethodsA total of 200 volunteers were divided into two groups according to serum vitamin D concentration (25(OH)D &lt; 10 ng/mL and 25(OH)D ≥ 10 ng/mL). Periodontal health status was determined based on a full‐mouth periodontal examination and radiographic evaluation. Participants in both groups were categorized according to periodontal diagnoses, encompassing periodontal health, gingivitis, and periodontitis. Following sampling, the MMP‐9 levels in GCF were determined by the enzyme‐linked immunosorbent assay (ELISA) method.ResultsThe GCF MMP‐9 levels were found to be higher in individuals with serum 25(OH)D &lt; 10 ng/mL, in both the healthy and gingivitis and periodontitis groups, compared to those with 25(OH)D ≥ 10 ng/mL. Nevertheless, a statistically significant distinction was observed exclusively within the gingivitis and periodontitis groups. Correlation analysis and robust regression analyses provided additional evidence supporting the predictive role of periodontal disease status and vitamin D concentration in local MMP‐9 levels. These associations remained significant after adjusting for age and sex in robust regression analysis (p = 0.002). Furthermore, the inclusion of periodontal clinical parameters in the regression analysis revealed notable associations of clinical attachment loss with local MMP‐9 levels, along with periodontal disease status and serum vitamin D concentration (p &lt; 0.001).ConclusionThe findings of our study suggest a potential mechanistic relationship between serum vitamin D levels and periodontitis.PLAIN LANGUAGE SUMMARYVitamin D deficiency is a widespread issue globally due to urban living, less outdoor time, seasonal changes, aging, and sunscreen use, leading to inadequate sun exposure. Low vitamin D levels are linked to several health problems, including hypertension, diabetes, heart diseases, and periodontal diseases, which affect the gums and bones around teeth and can cause tooth loss if untreated. Although the link between vitamin D and periodontal disease is unclear, it may involve the enzyme matrix metalloproteinase‐9 (MMP‐9). Our study examined 200 people, dividing them into two groups based on vitamin D levels. We assessed their gum health and measured MMP‐9 levels in their gingival crevicular fluid, a liquid that seeps out from the tiny space between gums and teeth. We found that people with lower vitamin D levels had higher MMP‐9 levels, especially those with gum disease. Our analysis showed that both vitamin D levels and gum health significantly impact MMP‐9 levels, with gum health being the more influential factor. Maintaining good gum health and adequate vitamin D levels is crucial for managing MMP‐9, an enzyme critical for tissue remodeling during healing and inflammation. However, excessive MMP may rapidly destroy periodontal tissues.

Association of tooth loss and periodontal disease with all-cause mortality in cancer survivors: A cohort study based on NHANES

BackgroundIncreasing evidence supports the association between impaired oral health and elevated mortality. However, there is currently a lack of research on the impact of tooth loss and periodontal disease on survival outcomes in cancer survivors. This study aims to clarify the effect of tooth loss and periodontitis on all-cause mortality on cancer survivors. MethodsThe clinical data of cancer survivors were collected from National Health and Nutrition Examination Survey (NHANES) 1999–2018. Mortality data were obtained by linking to records in the National Death Index until December 31, 2019. Receiver operating characteristic (ROC) curve analysis was performed to determine the optimal threshold for discriminating mortality based on the number of teeth lost. Kaplan–Meier survival curves and Cox regression analysis were performed to calculate hazard ratios (HRs) and 95 % confidence intervals (95 % CI) for tooth loss and periodontitis. ResultsA total of 3271 cancer survivors were assessed for tooth loss status, while 1267 patients were evaluated for periodontitis status. The prevalence of any tooth loss and CDC-AAP periodontitis was 83.5 % and 47.2 %, respectively. The ROC curve showed the cut-off point of tooth loss for predicting mortality is > 5. Cancer survivors with tooth loss>5 had significantly lower bone density (1.06 vs. 1.13 g/cm2, P < 0.001), elevated C-reactive protein level (0.3 vs. 0.18 mg/dL, P < 0.001), and a trend of lower lean body mass (46.9 vs. 47.6 kg, P = 0.093). Besides, cancer survivors with severe periodontitis also exhibited elevated C-reactive protein level (0.34 vs. 0.21 mg/dL, P = 0.033). All-cause mortality significantly increased in cancer survivors with either tooth loss>5 (HR = 1.290, P = 0.001) or severe CDC-AAP periodontitis (HR = 1.682, P = 0.016) in the multivariate Cox regression analysis. ConclusionTooth loss and periodontitis are strong risk factors for reduced overall survival in cancer survivors. Cancer survivors should emphasize diligent oral hygiene and consistent dental check-ups to optimize long-term oral health. The causal relationship between oral health and survival rates in cancer survivors requires further validation through randomized controlled trials.

Quantifying periodontitis-associated oral dysbiosis in tongue and saliva microbiomes-An integrated data analysis.

Periodontitis is primarily driven by subgingival biofilm dysbiosis. However, the quantification and impact of this periodontal dysbiosis on other oral microbial niches remain unclear. This study seeks to quantify the dysbiotic changes in tongue and salivary microbiomes resulting from periodontitis by applying a clinically relevant dysbiosis index to an integrated data analysis. The National Center for Biotechnology Information (NCBI) database was searched to identify BioProjects with published studies on salivary and tongue microbiomes of healthy and periodontitis subjects. Raw sequence datasets were processed using a standardized bioinformatic pipeline and categorized by their ecological niche and periodontal status. The subgingival microbial dysbiosis index (SMDI), a dysbiosis index originally developed using the subgingival microbiome, was computed at species and genus levels and customized for each niche. Its diagnostic accuracy for periodontitis was evaluated using receiver operating characteristic curves. Four studies, contributing 328 microbiome samples, were included. At both species and genus levels, periodontitis samples had a higher SMDI, but the differences were only significant for subgingival biofilm and saliva (p<0.001). However, SMDI showed good diagnostic accuracy for periodontitis status for all three niches (area under curve ranging from 0.76 to 0.90, p<0.05). The dysbiosis index of subgingival biofilm was positively correlated with saliva consistently (p<0.001) and with the tongue at the genus level (p=0.036). While the impact on the tongue microbiome requires further investigation, periodontitis-associated dysbiosis affects the salivary microbiome and is quantifiable using the dysbiosis index. The diagnostic potential of salivary microbial dysbiosis as a convenient periodontal biomarker for assessing periodontal status has potential public health and clinical applications. Periodontitis, a severe inflammation of the gums which causes bone loss, is a disease caused by an imbalance of good and bad bacteria under the gums. However, it is unclear how this bacterial imbalance in the gums affects the bacterial balance of other distinct parts of the mouth, such as the saliva and tongue. This study uses bacteria datasets of four previously published studies, contributing a total of 328 bacterial samples. The data were processed using a uniform data analysis workflow, and a bacterial score, the subgingival microbial dysbiosis index (SMDI), previously shown to capture periodontitis-associated bacteria imbalance, was calculated separately for samples from under the gums, the saliva, and the tongue. The SMDI was able to distinguish between health and periodontitis within each oral location, and in general, the scores were higher for periodontitis samples, though this difference was significant only for bacteria under the gums and in saliva. Saliva scores were also consistently correlated with bacteria under the gums. This study shows that periodontitis-associated bacterial imbalances are observed in oral locations beyond just under the gums, particularly the saliva. Thus, saliva bacteria may be used as a convenient biomarker for assessing gum disease, allowing for potential public health and clinical applications.

Association of specific nutritional intake with periodontitis

BackgroundThe present study aimed to evaluate nutritional intake among a group of male patients in the dental clinic with and without periodontal disease to search for associations between nutritional profile and periodontal health.MethodsTo this purpose, nutritional intake of macronutrients, fiber, vitamins, and minerals were compared evaluating both clinical parameters and periodontal status. Non periodontitis patients were compared with stage III and IV periodontitis and its extension according to the 2017 classification.ResultsAfter multivariate analysis, statistically significant associations were found between the dietary intake of energy, total fat, cholesterol, calcium, saturated fat, monounsaturated fat and folic acid and iodine and periodontitis status. This study reports an inverse association between cholesterol and iodine and periodontitis and a direct association with saturated fat, monounsaturated fat, and folic acid.ConclusionsMaintaining an adequate intake of fat, iodine, calcium, and cholesterol and avoiding an excessive intake of energy, saturated fat, monounsaturated fat, and folic acid could be important to controlling periodontitis.

A multi-platform analysis of human gingival crevicular fluid reveals ferroptosis as a relevant regulated cell death mechanism during the clinical progression of periodontitis.

Ferroptosis is implicated in the pathogenesis of numerous chronic-inflammatory diseases, yet its association with progressive periodontitis remains unexplored. To investigate the involvement and significance of ferroptosis in periodontitis progression, we assessed sixteen periodontitis-diagnosed patients. Disease progression was clinically monitored over twelve weeks via weekly clinical evaluations and gingival crevicular fluid (GCF) collection was performed for further analyses. Clinical metrics, proteomic data, in silico methods, and bioinformatics tools were combined to identify protein profiles linked to periodontitis progression and to explore their potential connection with ferroptosis. Subsequent western blot analyses validated key findings. Finally, a single-cell RNA sequencing (scRNA-seq) dataset (GSE164241) for gingival tissues was analyzed to elucidate cellular dynamics during periodontitis progression. Periodontitis progression was identified as occurring at a faster rate than traditionally thought. GCF samples from progressing and non-progressing periodontal sites showed quantitative and qualitatively distinct proteomic profiles. In addition, specific biological processes and molecular functions during progressive periodontitis were revealed and a set of hub proteins, including SNCA, CA1, HBB, SLC4A1, and ANK1 was strongly associated with the clinical progression status of periodontitis. Moreover, we found specific proteins - drivers or suppressors - associated with ferroptosis (SNCA, FTH1, HSPB1, CD44, and GCLC), revealing the co-occurrence of this specific type of regulated cell death during the clinical progression of periodontitis. Additionally, the integration of quantitative proteomic data with scRNA-seq analysis suggested the susceptibility of fibroblasts to ferroptosis. Our analyses reveal proteins and processes linked to ferroptosis for the first time in periodontal patients, which offer new insights into the molecular mechanisms of progressive periodontal disease. These findings may lead to novel diagnostic and therapeutic strategies.

Associations of remaining teeth number, periodontal disease, and occlusal support status with erectile dysfunction in community-dwelling men.

Several systematic reviews and meta-analyses have reported positive relationships between erectile dysfunction (ED) and periodontal disease. However, no study has evaluated the relationships of occlusal support status and the number of remaining teeth with ED. The aim of the present study was to investigate the relationships between ED and the remaining teeth number, periodontal disease, and occlusal support status. This study included 400 community-dwelling men. Periodontal health status and occlusal support condition were evaluated using the Community Periodontal Index (CPI) and Eichner classification. Multivariable analyses were performed to evaluate the relationships between ED and the remaining teeth number, periodontal disease, and occlusal support status. The median age was 53 years. Of the 400 men, 333 (83%) were classified into ED group. In univariable analyses, remaining teeth number, CPI score, and Eichner classification were significantly associated with ED. In multivariable analyses, the remaining teeth number (odds ratio [OR]: 0.907, p = 0.114) and CPI score (OR: 0.978, p = 0.864) were not significantly associated with ED, whereas the Eichner classification was independently and significantly associated with ED (OR: 3.490, p = 0.042). Poor occlusal support status was significantly associated with ED in community-dwelling men, as opposed to remaining teeth number and periodontal health status.

Food insecurity and periodontitis in US adults.

To determine the relationship between food insecurity and periodontitis among adults in the United States (US). Secondary analysis of the 2009-2014 National Health and Nutrition Examination Survey data. The sample included 6,108 US participants aged ≥ 30 years in a probability weighted sample. Periodontitis status was measured in full-month oral examinations at 6 sites per tooth for clinical attachment loss and periodontal probing depth. Food insecurity was assessed by the 18-item US Food Security Survey Module. Controlling for covariates, multiple logistic regression showed that periodontitis was associated with low food security (adjusted odds ratio (aOR)=1.30, 95% CI: 1.08-1.57). Risk factors for periodontitis included HbA1c ≥ 7% (aOR=1.74, 95% CI: 1.26-2.40), seeking emergency dental care (aOR=1.36, 95% CI:1.19-1.55), smoking status, racial minorities, low income, and older age. Protective factors for periodontitis were annual dental visit (aOR=0.52, 95% CI: 0.43-0.64), health insurance (aOR=0.66, 95% CI: 0.54-0.80), female gender, and college education. Food insecurity was associated with a higher risk of periodontitis among US adults. Having enough food to eat is a basic human right and would improve well-being.

Infrared spectroscopy for fast screening of diabetes and periodontitis

SignificanceFT-IR is an important and emerging tool, providing information related to the biochemical composition of biofluids. It is important to demonstrate that there is an efficacy in separating healthy and diseased groups, helping to establish FT-IR uses as fast screening tool. AimVia saliva diagnosis evaluate the accuracy of FT-IR associate with machine learning model for classification among healthy (control group), diabetic (D) and periodontitis (P) patients and the association of both diseases (DP). ApproachEighty patients diagnosed with diabetes and periodontitis through conventional methods were recruited and allocated in one of the four groups. Saliva samples were collected from participants of each group (n = 20) and were processed using Bruker Alpha II spectrometer in a FT-IR spectral fingerprint region between 600 and–1800 cm−1, followed by data preprocessing and analysis using machine learning tools. ResultsVarious FTI-R peaks were detectable and attributed to specific vibrational modes, which were classified based on confusion matrices showed in paired groups. The highest true positive rates (TPR) appeared between groups C vs D (93.5 % ± 2.7 %), groups C vs. DP (89.2 % ± 4.1 %), and groups D and P (90.4 % ± 3.2 %). However, P vs DP presented higher TPR for DP (84.1 % ±3.1 %) while D vs. DP the highest rate for DP was 81.7 % ± 4.3 %. Analyzing all groups together, the TPR decreased. ConclusionThe system used is portable and robust and can be widely used in clinical environments and hospitals as a new diagnostic technique. Studies in our groups are being conducted to solidify and expand data analysis methods with friendly language for healthcare professionals. It was possible to classify healthy patients in a range of 78–93 % of accuracy. Range over 80 % of accuracy between periodontitis and diabetes were observed. A general classification model with lower TPR instead of a pairwise classification would only have advantages in scenarios where no prior patient information is available regarding diabetes and periodontitis status.

Single-Index Mixed-Effects Model for Asymmetric Bivariate Clustered Data

Studies/trials assessing status and progression of periodontal disease (PD) usually focus on quantifying the relationship between the clustered (tooth within subjects) bivariate endpoints, such as probed pocket depth (PPD), and clinical attachment level (CAL) with the covariates. Although assumptions of multivariate normality can be invoked for the random terms (random effects and errors) under a linear mixed model (LMM) framework, violations of those assumptions may lead to imprecise inference. Furthermore, the response-covariate relationship may not be linear, as assumed under a LMM fit, and the regression estimates obtained therein do not provide an overall summary of the risk of PD, as obtained from the covariates. Motivated by a PD study on Gullah-speaking African-American Type-2 diabetics, we cast the asymmetric clustered bivariate (PPD and CAL) responses into a non-linear mixed model framework, where both random terms follow the multivariate asymmetric Laplace distribution (ALD). In order to provide a one-number risk summary, the possible non-linearity in the relationship is modeled via a single-index model, powered by polynomial spline approximations for index functions, and the normal mixture expression for ALD. To proceed with a maximum-likelihood inferential setup, we devise an elegant EM-type algorithm. Moreover, the large sample theoretical properties are established under some mild conditions. Simulation studies using synthetic data generated under a variety of scenarios were used to study the finite-sample properties of our estimators, and demonstrate that our proposed model and estimation algorithm can efficiently handle asymmetric, heavy-tailed data, with outliers. Finally, we illustrate our proposed methodology via application to the motivating PD study.

Associations between immune-inflammatory markers, age, and periodontal status: a cross-sectional study.

Since periodontal disease is associated with many systemic diseases, it is important to evaluate its effects on host responses in elderly individuals. To this end, this study investigated salivary interleukin (IL)-17, IL-18, toll-like receptor (TLR) 2, TLR4, and tumor necrosis factor-alpha (TNF-α) levels in patient groups with different periodontal health statuses and immunologically evaluated the relationship between age and periodontal health status. A total of 60 individuals aged 18-40years (young individuals) and 60 individuals aged 65years or older (elderly individuals) were included in this study. According to periodontal disease status, the patients were divided into periodontally healthy, gingivitis, and periodontitis subgroups. Clinical periodontal parameters, including probing depth (PD), clinical attachment level (CAL), plaque index (PI), and gingival index (GI), were recorded. Saliva samples were collected and analyzed using ELISA to determine the levels of IL-17, IL-18, TLR2, TLR4, and TNF-α. Higher clinical periodontal parameter (PD, CAL, PI, and GI) and inflammatory marker (IL-17, IL-18, TNF-α, TLR2, and TLR4) levels were found in patients with periodontitis than those in periodontally healthy individuals and patients with gingivitis (P < 0.05). Salivary inflammatory marker levels were significantly higher in elderly individuals than those in young individuals in all subgroups (P < 0.05). A positive correlation was found between inflammatory marker levels and clinical periodontal parameters, but there was no correlation between TLR2 and PI or GI. This study suggests a significant increase in host response to periodontal disease as the disease progresses, with the levels of cytokines and TLR expression exhibiting an increasing trend with age. Increased IL-17, IL-18, TLR2, TLR4, and TNF-α levels in elderly individuals in all periodontal health subgroups might suggest the role of these cytokines and TLR pathway in the pathogenesis of periodontal diseases.

Investigation of periodontal disease development and Porphyromonas gulae FimA genotype distribution in small dogs

In dogs, Porphyromonas gulae is a major periodontal pathogen with 41-kDa proteins polymerizing to form a filamentous structure called fimbriae or pili, termed FimA. FimA is classified into three genotypes: A, B, and C, and there are combinations of types A, B, C, A/B, A/C, B/C, and A/B/C. Periodontal disease is the most common oral disease in small dogs, but the periodontal disease status and P. gulae colonization at each dog age and breed remain unclear. In this study, we stratified 665 small dogs and analyzed the periodontal status and distribution of P. gulae with each FimA genotype. Dogs with periodontal disease and FimA genotype tended to increase with age. The dogs with at least one FimA genotype had significantly more severe periodontal disease compared with P. gulae-negative dogs (P < 0.01). Additionally, periodontal status was significantly associated with specific FimA genotype distribution in Toy Poodles and Chihuahuas (P < 0.05), whereas there was no such association in Dachshunds. These results suggest that the onset of periodontal disease and P. gulae colonization are related and progress with age. The relationship between periodontal disease and FimA genotype may differ depending on the dog breeds.

Assessment of nutritional status in chronic periodontitis patients: A cross-sectional study.

This cross-sectional study compared the nutritional status of chronic periodontitis (CP) patients who presented with various degrees of severity with systemically healthy individuals using the Mini Nutritional Assessment (MNA®) tool along with laboratory analysis of macro- and micronutrients. This research enrolled a total of 84 participants, of which 63 belonged to the CP group while 21 served as healthy controls. The CP patients were divided into three groups of 21 each, based on severity as mild, moderate, and severe. Clinical periodontal parameters (plaque index, bleeding on probing, probing depth, clinical attachment level/loss, total number of teeth present [NOT-P], furcation involvement, pathological migration, and tooth mobility), biochemical parameters (lipid, protein, iron profiles, and Vitamin D3 and B12), and the MNA® tool were used to assess the nutritional status of all the participants. The results were analyzed statistically. NOT-P, MNA score, lipid profile (except very-low-density lipoprotein), iron profile (except total iron-binding capacity), and Vitamin D3 showed high significant differences (P < 0.001) among the groups. However, Vitamin B12 and protein profile except for total protein revealed significant differences (P < 0.05). CP can be a contributing risk factor for the development of malnutrition. MNA® tool can be used for assessing the nutritional status of CP patients.

Investigating the diagnostic potential of IL-1β, IL-10, and IL-36γ in gingival crevicular fluid in patients with different periodontal conditions

Background The study aimed to analyze cytokine levels, including interleukin (IL)-1β, IL-10, and IL-36γ, to investigate the link between pro- and anti-inflammatory responses in periodontal conditions and assess their potential as diagnostic biomarkers for distinguishing between different types of periodontal conditions. Methods 80 systemically healthy non-smokers (25 periodontally healthy, 25 with gingivitis, 30 with periodontitis) were included. Clinical periodontal parameters were recorded, and gingival crevicular fluid (GCF) samples were obtained. Receiver operating characteristic (ROC) curve analysis was applied to determine the diagnostic value of cytokines. Results IL-36γ had the highest sensitivity for diagnosing periodontitis, although its specificity for identifying those without periodontitis was relatively low. The combination of IL-1β and IL-36γ was the most effective in differentiating periodontitis from periodontal health. IL-10 was found to be an acceptable discriminator for distinguishing gingivitis from healthy conditions. However, its sensitivity and specificity for identifying gingivitis were lower. The combination of the three cytokines showed the highest ability to distinguish between periodontitis and gingivitis. Conclusion The levels of IL-1β, IL-10, and IL-36γ in GCF may provide insights into periodontal health and disease status. Further studies are needed to validate these results and explore the potential of these cytokines in periodontal disease management.

Association between multimorbidity and periodontal disease in Korean adults: A nationwide cross-sectional cohort study.

This study aimed to investigate the association between multimorbidity, which refers to the presence of two or more chronic diseases, and periodontal disease in Korean adults using national survey data. A total of 12,440 Korean adults aged ≥19 years were selected from the seventh Korea National Health and Nutrition Examination Survey (KNHANES). We investigated periodontal disease status based on various variables, including the gender, age, educational level, income level, smoking and alcohol drinking status, frequency of daily toothbrushing, and unmet dental treatment needs. Furthermore, periodontal status according to diagnosed chronic diseases, including hypertension, dyslipidaemia, stroke, myocardial infarction, angina pectoris, and diabetes, was investigated, and the association between multimorbidity and periodontal disease was analysed through multiple logistic regression using SAS 9.4. According to the general characteristics of the study participants, the prevalence of periodontal disease was higher in males, smokers, older age, and lower educational and income levels (p < 0.001). Moreover, as the frequency of daily toothbrushing increased, the distribution of periodontal disease decreased (p < 0.001). The prevalence of periodontal disease was higher in those with chronic diseases than in those without chronic diseases and was statistically significantly higher as the number of diagnosed chronic diseases increased (p < 0.001). Additionally, an increase in the number of chronic diseases was observed to increase the prevalence and risk of periodontal disease. These results suggest that multimorbidity significantly affects the prevalence of periodontal disease.

Validity of individual self-report oral health measures in assessing periodontitis for causal research applications.

Self-reported measures of periodontitis developed for use in population surveillance are increasingly used in causal research. Numerous studies evaluate the validity of these measures against clinical parameters of periodontitis, yet few include validation parameters outside of multivariable models. Individual item validity is necessary to adequately inform use of these measures in causal research. We used data from the National Health and Nutrition Examination Survey 2011-2014 in which dentate participants completed full-mouth periodontal examinations (N=6966). We evaluated six self-report questionnaire items related to periodontal disease status against periodontitis case definitions developed by the Centers for Disease Control and Prevention and American Academy of Periodontology (CDC-AAP). We estimated the sensitivity and specificity of individual items using severe and moderate-to-severe periodontitis classifications. We additionally combined items to evaluate the validity of joint measures. Sensitivity was highest when measures were evaluated against severe periodontitis. Self-rated oral health of fair/poor demonstrated the highest sensitivity for severe (0.60) and moderate-to-severe periodontitis (0.48). Specificity was highest when evaluated against moderate-to-severe periodontitis, with self-reported history of tooth mobility as the most specific measure (0.87 for severe disease; 0.92 for moderate-to-severe) followed by a history of bone loss (0.88 for severe; 0.91 for moderate-to-severe). Combining questions generally improved specificity at the expense of sensitivity. Our findings related to item-specific validity and the associated clinical profiles facilitate needed considerations for the use of self-reported measures of periodontitis in causal research. Additionally, item-specific validity can be used to inform assessments of misclassification bias within such investigations.