Clinical Evaluation of a New Electronic Periodontal Probe: A Randomized Controlled Clinical Trial

Diagnostic Potential of Salivary Interleukin-1β and IL-10 for Distinguishing Periodontal Health From Periodontitis and Stable From Unstable Periodontitis: A Case-Control Study

Objective: This case-control study aimed to investigate the diagnostic accuracy of salivary interleukin (IL)-1β, IL-10, and IL-1β/IL-10 ratio to discriminate periodontitis from periodontal health and stable from unstable periodontitis. Methods: Saliva samples were collected from 135 (healthy on an intact periodontium = 45 [as healthy control], stable periodontitis = 39, and unstable periodontitis = 51) participants, and then clinical periodontal parameters were recorded. An enzyme-linked immunosorbent assay was used to determine salivary levels of IL-1β and IL-10. Area under the curves (AUCs), sensitivity, and specificity of IL-1β, IL-10, and IL-1β/IL-10 were estimated to discriminate between groups. Result: The level of salivary IL-1β was significantly higher in unstable periodontitis than in stable periodontitis and healthy control groups (426 ± 59, 247 ± 55, and 204 ± 36 pg/ml [picograms per milliliter], respectively). While the level of salivary IL-10 was significantly higher in the control group (360.7 ± 80.5 pg/ml) than unstable periodontitis group (146.92 ± 1.8 pg/ml), no significant difference was found between the control and stable periodontitis (317.04 ± 59.8 pg/ml) groups. IL-1β, IL-10, and IL-1β/IL-10 had significant diagnostic accuracy for differentiating healthy control from unstable periodontitis (AUCs = 0.99, 0.96, and 1; sensitivity = 0.98,1, and 1; specificity = 0.95, 0.95, and 1, respectively). Similarly, they showed significant diagnostic accuracy in distinguishing unstable from stable periodontitis (AUCs = 0.98, 0.99, and 1; sensitivity = 0.94, 1, and 1; specificity = 0.94, 0.97, and 1, respectively). Conclusion: Salivary IL-1β, IL-10, and IL-1β/IL-10 have a high potential to discriminate healthy control from periodontitis and stable from unstable periodontitis. Trial Registration: ClinicalTrials.gov identifier: NCT05722613.

Dynamics of Gingival Indices and Microbiological Findings During Treatment of Plaque-Induced Gingivitis in Children Aged 10-14 Years

BACKGROUND

The study analyzed the dynamics of the clinical periodontal status during the treatment of adolescents with generalized plaque-induced gingivitis.

AIM

Assessment of the predominant subgingival microflora in the case of a diagnosed inflammatory process in the gingiva in childhood.

METHODS

Full-mouth periodontal assessment of plaque accumulation and bleeding on probing with an electronic periodontal probe was performed during the treatment of 34 adolescents with generalized plaque-induced gingivitis. The treatment protocol includes five visits (1, 3, 7, 14, and 30 days). Subgingival biofilm sampling was performed by real-time PCR testing to identify, follow-up in dynamics, and determine the quantities of main subgingival periodontopathogens during treatment. Three samples per child were taken from five teeth with the most severe inflammation.

RESULTS

For children aged 10-14 years with generalized plaque-induced gingivitis, two weeks after the start of treatment, the index values for bleeding on probing decreased twice from 53 to 27%. C. gingivalis was isolated before the start of treatment in all children, followed by P. intermedia, P. micros (70,4%) and T. denticola, T. forsythia (52,9%). Representatives of the red complex according to Socransky showing greater resistance to the therapy performed in terms of frequency and amount.

CONCLUSION

The predominant subgingival microflora in adolescents with generalized plaque-induced gingivitis is representative of the orange and red Socransky complex, with index values decreasing smoothly at each subsequent visit during treatment.

Diagnostic potential of salivary interleukin-17, RANKL, and OPG to differentiate between periodontal health and disease and discriminate stable and unstable periodontitis: A case-control study

Background and Aims

Limitations of the conventional diagnostic techniques urged researchers to seek novel methods to predict, diagnose, and monitor periodontal disease. Use of the biomarkers available in oral fluids could be a revolutionary surrogate for the manual probing/diagnostic radiograph. Several salivary biomarkers have the potential to accurately discriminate periodontal health and disease. This study aimed to determine the diagnostic sensitivity and specificity of salivary interleukin (IL)-17, receptor activator of nuclear factor-κB ligand (RANKL), osteoprotegerin (OPG), RANKL/OPG for differentiating (1) periodontal health from disease and (2) stable and unstable periodontitis.

Methods

Participants with periodontitis (n = 50) and gingivitis (n = 25), both diseases represented the cases, and subjects with healthy periodontium (n = 15) as a control were recruited for this study. Periodontitis cases were further equally subdivided into stable and unstable. Whole unstimulated salivary sample were collected from all participants. Periodontal parameters including bleeding on probing, probing pocket depth, clinical attachment loss, and number of missing teeth were recorded. The protein levels of salivary IL-17, RANKL, and OPG were determined by using enzyme-linked immunosorbent assays technique.

Results

Salivary IL-17, OPG, RANKL, and RANKL/OPG showed high sensitivity and specificity to differentiate periodontal health from gingivitis and periodontitis. Similar pattern was observed in discriminating stable and unstable periodontitis. Salivary IL-17 and RANKL showed a good accuracy to differentiate gingivitis from periodontitis. However, OPG and RANKL/OPG did not exhibit enough sensitivity and specificity to differentiate the latter conditions.

Conclusion

Salivary IL-17, RANKL, OPG, and RANKL/OPG system are potential candidates for differentiating periodontal health and disease and discriminate stable and unstable periodontitis.

Automatic Segmentation of Periodontal Tissue Ultrasound Images with Artificial Intelligence: A Novel Method for Improving Dataset Quality

This research aimed to evaluate Mask R-CNN and U-Net convolutional neural network models for pixel-level classification in order to perform the automatic segmentation of bi-dimensional images of US dental arches, identifying anatomical elements required for periodontal diagnosis. A secondary aim was to evaluate the efficiency of a correction method of the ground truth masks segmented by an operator, for improving the quality of the datasets used for training the neural network models, by 3D ultrasound reconstructions of the examined periodontal tissue.

METHODS

Ultrasound periodontal investigations were performed for 52 teeth of 11 patients using a 3D ultrasound scanner prototype. The original ultrasound images were segmented by a low experienced operator using region growing-based segmentation algorithms. Three-dimensional ultrasound reconstructions were used for the quality check and correction of the segmentation. Mask R-CNN and U-NET were trained and used for prediction of periodontal tissue's elements identification.

RESULTS

The average Intersection over Union ranged between 10% for the periodontal pocket and 75.6% for gingiva. Even though the original dataset contained 3417 images from 11 patients, and the corrected dataset only 2135 images from 5 patients, the prediction's accuracy is significantly better for the models trained with the corrected dataset.

CONCLUSIONS

The proposed quality check and correction method by evaluating in the 3D space the operator's ground truth segmentation had a positive impact on the quality of the datasets demonstrated through higher IoU after retraining the models using the corrected dataset.

Self-perception of periodontal health and pain experience during periodontal examination in 14- to 15-year-old Danish adolescents

OBJECTIVE

To evaluate different aspects of periodontal examination among Danish adolescents.

MATERIALS AND METHODS

In all, 521 Danish adolescents underwent a periodontal examination and answered a questionnaire concerning their self-perception of periodontal health (PH). Furthermore, 107 participants reported their pain experience during periodontal examination using a visual analog scale. The self-perception of PH and the pain experience were correlated with plaque score (PS), bleeding on probing (BOP), probing pocket depth (PPD), and interdental clinical attachment loss (CAL).

RESULTS

Good PH was reported by 424 (81%) of the participants. However, the association between PH and PS, BOP, PPD, and CAL was small (sensitivity: 7.7, 7.8, 12.0, and 0.0%, respectively). Only 57 (11%) of the participants reported bleeding gums (BG) during tooth brushing, but the correlation with BOP showed a sensitivity of 11.7%. The specificity of both self-perception of PH and BG was high. Sixty-seven (66.6%) of the participants experienced 'mild pain' during periodontal examination. There were no differences in periodontal outcomes between the pain groups (p > .05).

CONCLUSIONS

The adolescents showed a poor ability to identify themselves as having poor PH and BG, and 67 (66.6%) of the adolescents experienced mild pain during periodontal examination. The findings emphasize the need for dental staff to monitor the PH of Danish adolescents and advise them as necessary.

The Role of Epigenetic and Biological Biomarkers in the Diagnosis of Periodontal Disease: A Systematic Review Approach

The aim of this systemic review was to collate and analyze existing data from published literature sources to identify the current understanding of the role of epigenetic and biological biomarkers in periodontal disease and diagnostics. A comprehensive searching strategy was undertaken in Embase, Medline, The Dentistry and Oral Sciences and CINAHL databases. Grey literature searching strategies were also employed. Articles published in the English language between 2017−2020 were included. A total of 1014 studies were returned of which 15 studies were included. All included articles were cross-sectional, case−control studies. Relevant data were extracted according to various demographic and methodological factors including cohort size, oral biofluid sampled, number of examiners, smoking status and reported outcomes. A measure of the biomarker levels and corresponding significance were documented where possible. This review identified that exRNA has the greatest diagnostic potential, with four biomarkers (SPRR1A, lnc-TET3-2:1, FAM25A, CRCT1) displaying sensitivity of >71% and specificity of 100% in the assessed samples (p < 0.001) for gingivitis. This work also identifies the need for a unified approach to future research to draw meaningful comparison. Further investigations are warranted to definitively validate exRNA data and for the development of an exRNA-specific point-of-care diagnostic test.

Domiciliary Use of Chlorhexidine vs. Postbiotic Gels in Patients with Peri-Implant Mucositis: A Split-Mouth Randomized Clinical Trial

Peri-implant mucositis is a pathological condition characterized by an inflammatory process in the peri-implant soft tissues. Progression to peri-implantitis takes place in case of peri-implant bone resorption. Recently, an aid for non-surgical treatment by mechanical debridement (SRP) has been identified in probiotics. As there are no recent studies regarding their use for peri-implant mucositis, the aim of this study was to test a new postbiotic gel for this clinical condition. A split-mouth randomized clinical trial was performed. Twenty patients undergoing SRP were randomly assigned to two treatments based on the following oral gels: chlorhexidine-based Curasept Periodontal Gel (Group 1) and postbiotic-based Biorepair Parodontgel Intensive (Group 2). At baseline (T0) and after three (T1) and six (T2) months, the following peri-implant mucositis indexes were recorded: Probing Pocket Depth (PPD), Plaque Index (PI), Gingival Bleeding Index (GBI), Bleeding Score (BS), Marginal Mucosal Condition (MMC). A significant decrease is reported for both postbiotic and chlorhexidine for all peri-implant mucositis indices studied. Quite the opposite, no significant variation was present in intergroup comparisons. Greater improvements for BS, GBI and MMC inflammatory indices of the postbiotic gel compared to chlorhexidine suggest the importance of further studies to investigate the relevance of the product alone.