Journal of Clinical Periodontology最新文献

{"title":"The Influence of Psychological Stress and Stress‐Related Disorders in the Treatment Outcome of Periodontitis: A Systematic Review and Meta‐Analysis","authors":"Erik Klepsland Mauland, Sudan Prasad Neupane","doi":"10.1111/jcpe.70022","DOIUrl":"https://doi.org/10.1111/jcpe.70022","url":null,"abstract":"Background and ObjectiveIn humans 16 years and above with periodontitis (Population), how do psychological stress and stress‐related disorders (PSRD; Exposure) compared to those without PSRD (Comparison) affect clinical attachment level (CAL) upon periodontitis treatment (Outcome), as observed in experimental studies or descriptive pre–post studies (Study design)?MethodsFive major databases were searched for pre–post studies, descriptive cohort and quasi‐experimental or randomised controlled trials (RCTs). For meta‐analysis, mean differences in CAL and bleeding on probing (BOP) were pooled with random‐effects models. Risk of bias, study quality and certainty of evidence were assessed.ResultsThirteen studies (eight prospective, two retrospective, two quasi‐experimental and one pilot RCT) with 1610 participants were identified. PSRD (measured as stress in nine studies, depression in three studies and anxiety in one study) showed a negative influence on periodontitis treatment (steps 1 + 2: eight studies, steps 1 + 2 + 3 or 4: four studies, step 4: one study) outcomes. Meta‐analysis of steps 1 + 2 treatment results revealed that patients with PSRD (exposure: stress)—compared to those without—had smaller reductions in CAL (three studies; <jats:italic>n</jats:italic> = 170; weighted mean difference (WMD) = 0.78 mm; <jats:italic>p</jats:italic> = 0.01) and probing pocket depth (PPD; three studies; <jats:italic>n</jats:italic> = 170; WMD = 1.02 mm; <jats:italic>p</jats:italic> = 0.04) following periodontitis treatment in studies.ConclusionPSRD adversely affected periodontitis treatment outcomes, particularly concerning CAL and PPD, even though our confidence in the effect estimate is limited in the case of CAL and very low in the case of PPD. This conclusion, based on small treatment cohorts and quasi‐experimental studies following steps 1 + 2 of periodontitis treatment over a 3–6‐month period, warrants validation through rigorously designed studies.","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"15 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144905850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impaired Treg‐Mediated Immune Regulation in Peri‐Implantitis Lesions and Implant Loss: Insights From Histological and Molecular Analyses","authors":"Emilio A. Cafferata, Ausra Ramanauskaite, Puria Parvini, Clemens Raabe, Eva Dohle, Shahram Ghanaati, Frank Schwarz","doi":"10.1111/jcpe.70026","DOIUrl":"https://doi.org/10.1111/jcpe.70026","url":null,"abstract":"AimTo evaluate the T regulatory lymphocyte (Treg) profile and its potential contribution to peri‐implant tissue destruction during peri‐implantitis (PI).MethodsPI granulation tissue and crevicular fluid collected during PI surgical (PI group, <jats:italic>n</jats:italic> = 23) and explantation (PI‐X group, <jats:italic>n</jats:italic> = 23) therapy, with peri‐implant healthy tissue from second‐stage surgery (H group, <jats:italic>n</jats:italic> = 20) as controls, were analysed. The inflammatory infiltrate was characterised by H&amp;E staining. The relative expression of Treg‐associated transcription factors and cytokines was assessed by RT‐qPCR. Forkhead box P3 (FOXP3) and neuropilin (NPR)‐1 were detected by immunohistochemistry, and interleukin (IL)‐10, TGF‐β1 and IL‐35 by ELISA. The clinical parameters, namely probing depth (PD), bleeding on probing (BOP) and vertical defect depth (VDD), were also recorded.ResultsPI and PI‐X lesions showed up‐regulation of <jats:italic>FOXP3</jats:italic>, <jats:italic>HELIOS</jats:italic> and <jats:italic>IL35B</jats:italic> and down‐regulation of <jats:italic>NRP1</jats:italic> and <jats:italic>TGFβ1</jats:italic> mRNA expression, compared to H tissue (<jats:italic>p</jats:italic> &lt; 0.05). Significantly more FOXP3<jats:sup>+</jats:sup> cells and significantly less NRP‐1<jats:sup>+</jats:sup> area were detected in PI and PI‐X lesions (<jats:italic>p</jats:italic> &lt; 0.05). IL‐35 levels were up‐regulated, whereas TGF‐β1 levels were down‐regulated in PI and PI‐X lesions, compared to H samples (<jats:italic>p</jats:italic> &lt; 0.05). PD and VDD were significantly correlated with the down‐regulation of FOXP3 and NRP‐1 (<jats:italic>p</jats:italic> &lt; 0.05).ConclusionsTreg dysfunction and altered cytokine profiles in PI are associated with inflammation and clinical disease severity.","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"129 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144905852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of Healing Outcomes Between Simultaneous and Staged Implant Placement With Sinus Floor Elevation: A Preclinical Study Using a Rabbit Sinus Model","authors":"Ji‐Youn Hong, Yeek Herr, Nadja Naenni, Daniel S. Thoma, Borvornwut Buranawat, Seung‐Il Shin, Hyun‐Chang Lim","doi":"10.1111/jcpe.70025","DOIUrl":"https://doi.org/10.1111/jcpe.70025","url":null,"abstract":"AimTo compare the histological healing between implants placed simultaneously with maxillary sinus floor augmentation (MSFA) and those placed with a staged approach in the maxillary sinus with thin bone height.Materials and MethodsMSFA was performed on both sides of the sinuses in 10 rabbits, followed by simultaneous implant placement in one of the sinuses (group SMT). Four weeks later, implant placement was performed in the other sinus (group STG). The animals were euthanised 8 weeks thereafter. Micro‐computed tomographic and histomorphometric analyses were performed.ResultsIn micro‐computed tomographic images, the implants were well surrounded by newly formed bone (NB) and bone substitute particles, without statistically significant difference in the volume of NB between the groups (<jats:italic>p</jats:italic> &gt; 0.05). Histomorphometrically, the amount of NB within the total augmented area and ROIs near the implants did not significantly differ between the groups (<jats:italic>p</jats:italic> &gt; 0.05). The percentage of bone‐to‐implant contact was not significantly different between the groups (52.2% ± 16.6% vs. 44.9% ± 18.4%; <jats:italic>p</jats:italic> &gt; 0.05).ConclusionsSimultaneous implant placement with MSFA resulted in comparable radiographic and histological outcomes to a staged implant placement approach in sinuses with thin bone height. However, such outcomes should be cautiously interpreted within the context of an animal model.","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"26 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144899341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of Oral Health and Periodontal Disease With Oesophageal Cancer: A Nationwide Population-Based Study.","authors":"Minkook Son, Jae Yong Park, Beom Jin Kim, Jae Gyu Kim","doi":"10.1111/jcpe.70007","DOIUrl":"10.1111/jcpe.70007","url":null,"abstract":"<p><strong>Aim: </strong>Oral dysbiosis and periodontal inflammation might play a role in oesophageal carcinogenesis via the translocation of periodontal pathogens. We aimed to assess whether poor oral health is associated with oesophageal cancer.</p><p><strong>Methods: </strong>We conducted a population-based case-control study using the Korean National Health Insurance Service database to evaluate poor oral health as the exposure and oesophageal cancer as the outcome. Two study designs were employed: (1) oral health analysis using screening data, and (2) periodontal disease analysis using claims data. Oesophageal cancer cases were matched to cancer-free controls at a 1:4 ratio using extensive propensity score matching.</p><p><strong>Results: </strong>After matching, 4238 cases and 16,904 controls were included in the oral health analysis, and 18,905 cases and 75,604 controls were included in the claims-based analysis. In the multivariable analysis, missing teeth (adjusted OR [aOR], 1.16; 95% confidence interval [CI]: 1.08-1.25) and periodontal disease (aOR, 1.05; 95% CI: 1.01-1.09) were both significantly associated with increased odds of oesophageal cancer. Poor oral hygiene practices including infrequent brushing, irregular bedtime brushing, lack of interdental cleaning and dental visits also showed positive associations. Subgroup analyses showed consistent associations across obesity and smoking status, whereas the associations were less consistent in women, the elderly and non-drinkers.</p><p><strong>Conclusion: </strong>Poor oral health indicators including inadequate oral hygiene behaviours were associated with elevated odds of oesophageal cancer, suggesting the potential utility of oral health status in risk stratification.</p>","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":" ","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144882939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Convex Versus Concave Emergence Profile of Implant-Supported Crowns in the Aesthetic Zone: 3-Year Results of a Randomized Controlled Trial","authors":"Janina Endres,&nbsp;Franz J. Strauss,&nbsp;Marina Siegenthaler,&nbsp;Nadja Naenni,&nbsp;Ronald E. Jung,&nbsp;Daniel S. Thoma","doi":"10.1111/jcpe.70018","DOIUrl":"10.1111/jcpe.70018","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To evaluate the 3-year clinical and radiographic outcomes of implant-supported restorations with different emergence profiles (CONVEX vs. CONCAVE).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>A total of 47 patients received a single implant in the aesthetic zone and were allocated to one of three groups: (1) CONVEX: customized provisional with a convex emergence profile (<i>n</i> = 15); (2) CONCAVE: customized provisional with a concave profile (<i>n</i> = 16); (3) Control: no provisional restoration (<i>n</i> = 16). Final crowns in groups CONVEX and CONCAVE were fabricated to replicate the emergence profile of the respective provisional restorations. Follow-ups were performed at baseline, 6 months, 1 year and 3 years. The primary outcome was mid-facial mucosal recession and secondary outcomes included clinical, radiographic and aesthetic outcomes as well as profilometric measurements. Multivariable logistic regressions and mixed-effects models were used to compare the groups.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Out of the 47 patients originally included, 42 were available for re-examination at 3 years follow-up. At 3 years, the frequency of mucosal recession amounted to 46.7% in group CONVEX, 13.3% in group CONCAVE and 40.0% in group Control. Adjusted logistic regression models revealed that the CONVEX group was significantly more likely to show recessions at 3 years (odds ratios [ORs]: 7.3, 95% CI: 1.02–52.14, <i>p</i> = 0.048) when compared with the CONCAVE group. No statistically significant difference in recession frequency was observed between the CONVEX and CONCAVE groups between the 1- and 3-year follow-ups (OR: 3.7, 95% CI: 0.30–46.09, <i>p</i> = 0.303).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The emergence profile design significantly influences soft tissue stability predominantly within the first year after crown insertion. Whenever clinically feasible, a CONCAVE profile is preferable in the aesthetic zone to maintain the level of the mid-facial mucosal margin and reduce the frequency of recessions.</p>\u0000 \u0000 <p>\u0000 <b>Trial Registration:</b> German Clinical Trials Register: DRKS00009420</p>\u0000 </section>\u0000 </div>","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"52 11","pages":"1605-1615"},"PeriodicalIF":6.8,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jcpe.70018","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144899344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Oral Microbiota Dynamics Across the Lifespan: Age, Sex, Race and Socioeconomic Influences in the US Population","authors":"Qianjin Qi,&nbsp;Chaonan Gao,&nbsp;Xin Meng,&nbsp;Wei Liu,&nbsp;Yongxi Xue,&nbsp;Yinkun Yan","doi":"10.1111/jcpe.70016","DOIUrl":"10.1111/jcpe.70016","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>The oral microbiota, a complex and dynamic ecosystem, plays a crucial role in human health, yet systematic studies across the lifespan remain limited. This study aimed to investigate variations in the oral microbiota and the effects of key influencing factors on the oral microbiota at different age groups.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>In this study, we analysed the oral microbiota of 9662 individuals aged 14–69 years from the US National Health and Nutrition Examination Survey (NHANES) to explore the impact of demographic, lifestyle and environmental factors on microbial diversity and composition. Microbiological characterisation was done using the participants' oral rinses by 16S ribosomal RNA gene sequencing.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Our findings revealed a clear age-related trend in microbial diversity, with Shannon diversity peaking in middle-aged and declining in older adults. The composition of the oral microbiota also varied significantly with age, as different genera exhibited distinct abundance patterns across the lifespan. Gender and race emerged as key influencing factors, with males showing greater Shannon diversity and greater relative abundances of <i>Atopobium</i>, <i>Megasphaera</i> and <i>Porphyromonas</i> spp., and Whites were enriched in <i>Rothia</i> and <i>Veillonella</i>. Socioeconomic factors and lifestyle, particularly smoking, were strongly associated with shifts in microbial communities.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>These findings provide a comprehensive overview of the dynamic changes in the oral microbiota throughout life and underscore the intricate interplay between host and environmental factors in shaping microbial composition, offering a foundation for future research on microbiota-related health interventions.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"52 11","pages":"1560-1572"},"PeriodicalIF":6.8,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144882942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using Dental Register Information and Questionnaire Data to Assess Periodontitis in Large Cohort Studies","authors":"Peter Persson,&nbsp;Magnus Bladh,&nbsp;Stanley Teleka,&nbsp;Aleksandar Milosavljevic,&nbsp;Nils Gustafsson,&nbsp;Eva Levring Jäghagen,&nbsp;Björn Klinge,&nbsp;Kushan De Silva,&nbsp;Niko Vähäsarja,&nbsp;Kåre Buhlin,&nbsp;Peter Nilsson,&nbsp;Marju Orho-Melander,&nbsp;Olle Melander,&nbsp;Aron Naimi-Akbar,&nbsp;Daniel Jönsson","doi":"10.1111/jcpe.70015","DOIUrl":"10.1111/jcpe.70015","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Periodontitis proxy variables enable an expansion of periodontal research. The study aimed to estimate the validity of questionnaire items and registry data in relation to Stage III–IV periodontitis and having 50% bone loss.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Malmö Offspring Dental Study (MODS) participants (995) filled out questionnaires and underwent periodontal and panoramic radiography examinations. The questionnaire items, number of periodontal treatment procedures (PTP) in the Dental Health Register (DHR), and number of teeth with ≥ 6 mm probing depth in the Swedish Quality Register for Caries and Periodontal Disease (SKaPa) were evaluated as proxies for severe periodontitis. Stage III–IV periodontitis was the primary reference standard.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>For PTP-based severe periodontitis proxy in DHR, positive predictive value (PPV) was 88% and negative predictive value (NPV) 87% for Stage III–IV. The SKaPa-based proxy showed poor positive predictive values (PPVs, &lt; 70%), but similar area under the curve (AUC), 0.74, compared with the DHR data (AUC 0.76). Sensitivity was &lt; 70%, and specificity &gt; 90% for the DHR and SKaPa proxies. Identification of cases with periodontitis by questionnaire combined with the demographic variables age, sex, smoking habits and education yielded good discriminatory ability (AUC &gt; 0.75).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Register-based data can effectively identify individuals with severe periodontitis in large cohort studies, thereby advancing periodontal research.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"52 11","pages":"1529-1539"},"PeriodicalIF":6.8,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jcpe.70015","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144873341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developing Predictive Models for Periodontitis Progression Using Artificial Intelligence: A Longitudinal Cohort Study","authors":"Camila Pinheiro Furquim,&nbsp;Lannawill Caruth,&nbsp;Ganesh Chandrasekaran,&nbsp;Andrew Cucchiara,&nbsp;Michael J. Kallan,&nbsp;Lynn Martin,&nbsp;Magda Feres,&nbsp;Kyle Bittinger,&nbsp;Kimon Divaris,&nbsp;Joseph Glessner,&nbsp;Alpdogan Kantarci,&nbsp;William Giannobile,&nbsp;Shefali Setia Verma,&nbsp;Flavia Teles","doi":"10.1111/jcpe.14194","DOIUrl":"10.1111/jcpe.14194","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To construct predictive models of periodontitis progression by applying Machine Learning (ML) to baseline data from a study of periodontitis progression.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>Logistic regression (LR), multi-layer perceptron (MLP) and probabilistic graphic model (PGM) were utilised on data from a multi-centre longitudinal study in which periodontally healthy (<i>n</i> = 113) and periodontitis participants (<i>n</i> = 302) were examined bi-monthly for 12 months without treatment. Periodontal examination was performed, and salivary levels of 10 analytes were determined. Clinical and demographic parameters and analytes levels were input into the model. The performance of 14 models was compared using the area under the receiver operating characteristic curve (AUROC), and feature importance was assessed using SHapley Additive exPlanations (SHAP).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The PGM model (Clinical measures, saliva IL-1β, age, sex) demonstrated the best overall performance (AUROC = 0.88), compared to LR (AUROC = 0.72) and MLP (AUROC = 0.58). Although MLP had a lower Brier score (0.12), its sensitivity was 0, limiting its clinical utility. In contrast, PGM achieved a balanced sensitivity (0.55) and specificity (0.81). Feature importance analyses highlighted the number of deep periodontal pockets as a key driver of model predictions in both PGM and MLP.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>ML models can predict periodontitis progression, supporting early detection strategies. Our integrative approach, combining clinical data with salivary biomarkers such as IL-1β, improved predictive accuracy.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"52 10","pages":"1478-1490"},"PeriodicalIF":6.8,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jcpe.14194","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144882940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Oral Hygiene Reinforcement With or Without Repeated Instrumentation in the Treatment of Peri-Implant Mucositis-A Randomised Controlled Trial.","authors":"Mehrnaz Beheshti Maal, Jaime Bueno, Odd Carsten Koldsland, Mariano Sanz, Anders Verket","doi":"10.1111/jcpe.70012","DOIUrl":"10.1111/jcpe.70012","url":null,"abstract":"<p><strong>Aim: </strong>To assess the efficacy of repeated submarginal mechanical instrumentation, as an adjunct to oral hygiene instruction, in the treatment of peri-implant mucositis.</p><p><strong>Material and methods: </strong>Patients with peri-implant mucositis were allocated to a control group receiving oral hygiene instructions only, or a test group with adjunctive repeated ultrasonic instrumentation with a polyetheretherketone tip. Bleeding on probing reduction was the primary outcome. A blinded examiner recorded clinical variables, and intraoral scans were obtained at baseline, 12 weeks and 24 weeks.</p><p><strong>Results: </strong>In total, 58 patients were recruited, and 50 completed the study. Clinical parameters improved from baseline in both groups. There were no significant differences in the reduction of the extent nor the severity of bleeding on probing between the control and the test group at the 12- and 24-week follow-ups, but a significantly higher reduction in the peri-implant mucosa volume was observed in the test group from 12 to 24 weeks.</p><p><strong>Conclusions: </strong>Ultrasonic instrumentation with a polyetheretherketone tip adjunctive to oral hygiene instructions did not render a higher reduction in bleeding on probing or lead to improved clinical outcomes. Still, it resulted in a higher reduction of the peri-implant mucosa volume as compared to oral hygiene instructions alone.</p>","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":" ","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144882941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Saliva Versus All-Site Microbiome and Proteome Mapping in Periodontitis","authors":"Kai Bao,&nbsp;Beral Afacan,&nbsp;Jonas Grossmann,&nbsp;Angelika Silbereisen,&nbsp;Veli-Özgen Öztürk,&nbsp;Gulnur Emingil,&nbsp;Georgios N. Belibasakis,&nbsp;Nagihan Bostanci","doi":"10.1111/jcpe.70017","DOIUrl":"10.1111/jcpe.70017","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Saliva is a diagnostic surrogate for microbial and host biomarkers in periodontitis, but whether it reflects subgingival plaque, gingival crevicular fluid (GCF) or serum remains debated. This study profiled GCF and subgingival plaque from all sites of periodontitis patients, comparing them to saliva and serum.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>Saliva, serum, subgingival plaque and GCF were obtained from three patients with stage III, grade C periodontitis, having 23, 25 and 27 teeth, respectively, with six sites sampled per tooth. All plaque and GCF samples were pooled per patient. Shotgun sequencing and mass spectrometry proteomics were used for microbiome and proteome analysis, respectively.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Totally 277 microbial taxa were collectively identified in saliva and plaque, 93 of which were differentially abundant between the two. Saliva exhibited higher overall species diversity, but lower periodontal pathogen abundance. A total of 1153 host proteins were identified (saliva: 803; GCF: 932; serum: 195) across the three biological fluids, with 685 shared among saliva and GCF and 109 among all three. Saliva contained slightly fewer proteins than GCF, but shared several common immune, metabolic and enzyme regulation pathways.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Saliva is effective for broad microbiome and proteome screening; whereas plaque delivers greater precision in identifying specific periodontal pathogens directly associated with a periodontal pocket.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"52 11","pages":"1540-1549"},"PeriodicalIF":6.8,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jcpe.70017","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144882943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}