{"title":"Comment on Huoshen et al. (2025) 'Pharmacovigilance-Based Identification and Mechanistic Exploration of Periodontitis-Related Drugs'.","authors":"Jianxing Zhou,Weipeng Lai,Jiaping Zheng","doi":"10.1111/jcpe.70074","DOIUrl":"https://doi.org/10.1111/jcpe.70074","url":null,"abstract":"","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"56 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145937884","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}
Shrouk N. Elboray, Ola M. Ezzatt, Ahmad Salah, Asmaa Mohamed, Mahetab M. Abdalwahab
Aim To evaluate the diagnostic accuracy of thermographic imaging for differentiating healthy gingiva, site‐level inflammation and sites with clinical attachment loss. Subjects and Methods A calibrated periodontist examined 511 teeth in systemically healthy individuals attending the periodontology clinic. Clinical assessments were performed at buccal/facial sites within the anterior and premolar regions, with parameters including bleeding on probing (BOP), plaque index (PI), gingival index (GI), probing depth (PD) and clinical attachment level (CAL). Each tooth was classified into one of three subgroups based on CAL and BOP: clinically healthy sites (Group1/CH); inflamed sites without attachment loss (Group2/INF); and sites with clinical attachment loss (Group3/AL). Thermal imaging of the same sites was performed by a blinded operator. Diagnostic performance was assessed using receiver operating characteristic (ROC) curves as well as sensitivity and specificity analyses. Results The mean temperature values were 37.8°C ± 1.6°C for Group2/INF, 38.7°C ± 1.2°C for Group3/AL and 34.8°C ± 2.4°C for Group1/CH ( p < 0.001). ROC analysis resulted in an area under the curve (AUC) of 0.94 for Group2/INF and 0.86 for Group3/AL, high sensitivity (93% and 90.7%) and moderate to high specificity (83.8% and 64.5%), respectively, with significant correlations between thermal values, PI and CAL ( p < 0.001). Conclusions Thermographic imaging could effectively differentiate between clinically healthy sites and those showing site‐specific inflammation or attachment loss. These findings reflect periodontal status at the site level and are not intended for full‐mouth diagnosis of gingivitis or periodontitis. Trial Registration: The trial was registered at https://clinicaltrials.gov/ under the number (NCT06290414) on 14/8/2024
{"title":"Evaluation of the Accuracy of Infrared Thermographic Imaging for the Diagnosis of Periodontal Diseases: A Cross‐Sectional Study","authors":"Shrouk N. Elboray, Ola M. Ezzatt, Ahmad Salah, Asmaa Mohamed, Mahetab M. Abdalwahab","doi":"10.1111/jcpe.70066","DOIUrl":"https://doi.org/10.1111/jcpe.70066","url":null,"abstract":"Aim To evaluate the diagnostic accuracy of thermographic imaging for differentiating healthy gingiva, site‐level inflammation and sites with clinical attachment loss. Subjects and Methods A calibrated periodontist examined 511 teeth in systemically healthy individuals attending the periodontology clinic. Clinical assessments were performed at buccal/facial sites within the anterior and premolar regions, with parameters including bleeding on probing (BOP), plaque index (PI), gingival index (GI), probing depth (PD) and clinical attachment level (CAL). Each tooth was classified into one of three subgroups based on CAL and BOP: clinically healthy sites (Group1/CH); inflamed sites without attachment loss (Group2/INF); and sites with clinical attachment loss (Group3/AL). Thermal imaging of the same sites was performed by a blinded operator. Diagnostic performance was assessed using receiver operating characteristic (ROC) curves as well as sensitivity and specificity analyses. Results The mean temperature values were 37.8°C ± 1.6°C for Group2/INF, 38.7°C ± 1.2°C for Group3/AL and 34.8°C ± 2.4°C for Group1/CH ( <jats:italic>p</jats:italic> < 0.001). ROC analysis resulted in an area under the curve (AUC) of 0.94 for Group2/INF and 0.86 for Group3/AL, high sensitivity (93% and 90.7%) and moderate to high specificity (83.8% and 64.5%), respectively, with significant correlations between thermal values, PI and CAL ( <jats:italic>p</jats:italic> < 0.001). Conclusions Thermographic imaging could effectively differentiate between clinically healthy sites and those showing site‐specific inflammation or attachment loss. These findings reflect periodontal status at the site level and are not intended for full‐mouth diagnosis of gingivitis or periodontitis. Trial Registration: The trial was registered at <jats:ext-link xmlns:xlink=\"http://www.w3.org/1999/xlink\" xlink:href=\"https://clinicaltrials.gov/\">https://clinicaltrials.gov/</jats:ext-link> under the number (NCT06290414) on 14/8/2024","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"1 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145847294","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}
Charlene E. Goh, Bruno Bohn, Jeanine M. Genkinger, Rebecca Molinsky, Sumith Roy, Bruce J. Paster, Ching‐Yuan Chen, Stephen Johnson, Melana Yuzefpolskaya, Paolo C. Colombo, Michael Rosenbaum, Rob Knight, Moïse Desvarieux, Panos N. Papapanou, David R. Jacobs, Ryan T. Demmer
Aims To investigate whether the association between the nitrite‐generating capacity of the subgingival microbiome and early cardiometabolic risk biomarkers varies by dietary nitrate intake. Materials and Methods Cross‐sectional data from 668 participants (mean age 31 ± 9 years, 73% women) were analysed. Dietary nitrate intake was calculated from food frequency questionnaires. Subgingival 16S rRNA sequencing (Illumina, MiSeq) and PICRUSt2 estimated microbial genes. The Microbiome‐Induced Nitric Oxide Enrichment Score (MINES) was calculated as a ratio of microbial gene abundances representing enhanced net capacity for NO generation. Adjusted multivariable linear models regressed cardiometabolic risk biomarkers (HbA1c, glucose, insulin, insulin resistance (HOMA‐IR), blood pressure) on nitrate intake and MINES together with a MINES × nitrate intake interaction term. Results Mean nitrate intake was 190 ± 171 mg/day. Significant interactions of MINES and nitrate intake were observed for insulin and HOMA‐IR ( p < 0.05). Among participants with a low MINES, higher nitrate intake was associated with lower HOMA‐IR (1.2 [1.1–1.4] vs. 1.5 [1.3–1.6]; p = 0.002), but levels were similar in those with high MINES ( p = 0.84). Conclusions A biomarker of higher microbial NO‐generating capacity in subgingival plaque is associated with lower insulin and insulin resistance among individuals with lower dietary nitrate intake. Future trials evaluating the cardiometabolic benefits of nitrate‐rich diets should incorporate measures of the entire oral microbiome.
{"title":"Dietary Nitrate Intake and 16S rRNA ‐Inferred Nitrite‐Generating Capacity of the Subgingival Microbiome May Influence Glucose Metabolism: Results From the Oral Infections Glucose Intolerance and Insulin Resistance Study ( ORIGINS )","authors":"Charlene E. Goh, Bruno Bohn, Jeanine M. Genkinger, Rebecca Molinsky, Sumith Roy, Bruce J. Paster, Ching‐Yuan Chen, Stephen Johnson, Melana Yuzefpolskaya, Paolo C. Colombo, Michael Rosenbaum, Rob Knight, Moïse Desvarieux, Panos N. Papapanou, David R. Jacobs, Ryan T. Demmer","doi":"10.1111/jcpe.70084","DOIUrl":"https://doi.org/10.1111/jcpe.70084","url":null,"abstract":"Aims To investigate whether the association between the nitrite‐generating capacity of the subgingival microbiome and early cardiometabolic risk biomarkers varies by dietary nitrate intake. Materials and Methods Cross‐sectional data from 668 participants (mean age 31 ± 9 years, 73% women) were analysed. Dietary nitrate intake was calculated from food frequency questionnaires. Subgingival 16S rRNA sequencing (Illumina, MiSeq) and PICRUSt2 estimated microbial genes. The Microbiome‐Induced Nitric Oxide Enrichment Score (MINES) was calculated as a ratio of microbial gene abundances representing enhanced net capacity for NO generation. Adjusted multivariable linear models regressed cardiometabolic risk biomarkers (HbA1c, glucose, insulin, insulin resistance (HOMA‐IR), blood pressure) on nitrate intake and MINES together with a MINES × nitrate intake interaction term. Results Mean nitrate intake was 190 ± 171 mg/day. Significant interactions of MINES and nitrate intake were observed for insulin and HOMA‐IR ( <jats:italic>p</jats:italic> < 0.05). Among participants with a low MINES, higher nitrate intake was associated with lower HOMA‐IR (1.2 [1.1–1.4] vs. 1.5 [1.3–1.6]; <jats:italic>p</jats:italic> = 0.002), but levels were similar in those with high MINES ( <jats:italic>p</jats:italic> = 0.84). Conclusions A biomarker of higher microbial NO‐generating capacity in subgingival plaque is associated with lower insulin and insulin resistance among individuals with lower dietary nitrate intake. Future trials evaluating the cardiometabolic benefits of nitrate‐rich diets should incorporate measures of the entire oral microbiome.","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"22 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145830262","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}
Patrick Nafz, Thomas Kocher, Christiane Pink, Sebastian‐Edgar Baumeister, Stefan Reckelkamm, Stefanie Samietz, Sonya Nafz, Henry Völzke, Philipp Kanzow, Birte Holtfreter
Aim To investigate the association between dental restorations and adjacent periodontal status over a 7‐year period, using data from a population‐based cohort study. Materials and Methods We used 7‐year follow‐up data on the restorative and periodontal statuses of 88,793 tooth surfaces from 2158 SHIP‐TREND (Study of Health in Pomerania) participants. Using confounder‐adjusted and inverse‐probability‐weighted generalised estimating equations, we estimated the associations of restoration status with bleeding on probing (BOP), probing depth (PD) and clinical attachment level (CAL). Results Surfaces with dental restorations had significantly poorer periodontal outcomes than sound surfaces, with crowns having the greatest impact. At follow‐up, filled and crowned surfaces presented higher proportions of adjacent sites with BOP (18.5% and 22.4%, respectively) compared to sound surfaces (15.8%). Similarly, adjusted average PD was 1.93 mm adjacent to sound surfaces, 1.99 mm adjacent to surfaces with fillings and 2.14 mm adjacent to surfaces with crowns. The results remained consistent when the effects of incidentally placed fillings and crowns on follow‐up periodontal status were evaluated. Although effect modification by surface type was observed, no consistent patterns emerged across the different outcomes. Conclusion Dental restorations can have an adverse effect on periodontal health, emphasising the critical need for precise restorative techniques and post‐treatment maintenance.
{"title":"Associations Between Restoration Margins and Adjacent Periodontal Status—Longitudinal Results From SHIP‐TREND","authors":"Patrick Nafz, Thomas Kocher, Christiane Pink, Sebastian‐Edgar Baumeister, Stefan Reckelkamm, Stefanie Samietz, Sonya Nafz, Henry Völzke, Philipp Kanzow, Birte Holtfreter","doi":"10.1111/jcpe.70082","DOIUrl":"https://doi.org/10.1111/jcpe.70082","url":null,"abstract":"Aim To investigate the association between dental restorations and adjacent periodontal status over a 7‐year period, using data from a population‐based cohort study. Materials and Methods We used 7‐year follow‐up data on the restorative and periodontal statuses of 88,793 tooth surfaces from 2158 SHIP‐TREND (Study of Health in Pomerania) participants. Using confounder‐adjusted and inverse‐probability‐weighted generalised estimating equations, we estimated the associations of restoration status with bleeding on probing (BOP), probing depth (PD) and clinical attachment level (CAL). Results Surfaces with dental restorations had significantly poorer periodontal outcomes than sound surfaces, with crowns having the greatest impact. At follow‐up, filled and crowned surfaces presented higher proportions of adjacent sites with BOP (18.5% and 22.4%, respectively) compared to sound surfaces (15.8%). Similarly, adjusted average PD was 1.93 mm adjacent to sound surfaces, 1.99 mm adjacent to surfaces with fillings and 2.14 mm adjacent to surfaces with crowns. The results remained consistent when the effects of incidentally placed fillings and crowns on follow‐up periodontal status were evaluated. Although effect modification by surface type was observed, no consistent patterns emerged across the different outcomes. Conclusion Dental restorations can have an adverse effect on periodontal health, emphasising the critical need for precise restorative techniques and post‐treatment maintenance.","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"23 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145807510","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}
Spyridon K. Kouris, Yiorgos A. Bobetsis, Sophia Lionaki, Panagiotis N. Kanellopoulos, George Maropoulos, Panagiotis A. Koromantzos, Athanasios D. Protogerou, Phoebus N. Madianos
Aim To investigate the effect of non‐surgical periodontal therapy (NSPT) on renal function and glycaemic control in chronic kidney disease (CKD) patients over a 6‐month observation period, through a randomised clinical trial (RCT). Materials and Methods A total of 53 patients participated: 27 in the intervention group (IG) and 26 in the control group (CG). Outcomes included estimated glomerular filtration rate (eGFR, calculated using serum creatinine or both serum creatinine and cystatin‐C), urine albumin to urine creatinine ratio (uACR) and serum high‐sensitivity C‐reactive protein (hsCRP) levels. Glycaemic control was assessed using HbA1c levels in patients with diabetes mellitus (DM). Results Intra‐group ΔeGFR levels were 10.26 mL/min/1.73 m 2 ( p < 0.001) and 11.17 mL/min/1.73 m 2 ( p < 0.001), depending on the equation used, favouring IG. hsCRP levels were reduced by 84% ( p < 0.001) compared to CG; ΔHbA1c decreased by 0.54% ( p = 0.003) at 6 months. uACR was lower but only marginally (not statistically significant) in IG. Conclusion Despite its limitations, this RCT shows that NSPT enhances renal function—increasing eGFR and decreasing hsCRP—and improves glycaemic control in CKD patients with DM.
{"title":"The Effect of Periodontal Therapy on Renal Function and Diabetes Control in Patients With Chronic Kidney Disease. A Randomised Controlled Clinical Trial","authors":"Spyridon K. Kouris, Yiorgos A. Bobetsis, Sophia Lionaki, Panagiotis N. Kanellopoulos, George Maropoulos, Panagiotis A. Koromantzos, Athanasios D. Protogerou, Phoebus N. Madianos","doi":"10.1111/jcpe.70059","DOIUrl":"https://doi.org/10.1111/jcpe.70059","url":null,"abstract":"Aim To investigate the effect of non‐surgical periodontal therapy (NSPT) on renal function and glycaemic control in chronic kidney disease (CKD) patients over a 6‐month observation period, through a randomised clinical trial (RCT). Materials and Methods A total of 53 patients participated: 27 in the intervention group (IG) and 26 in the control group (CG). Outcomes included estimated glomerular filtration rate (eGFR, calculated using serum creatinine or both serum creatinine and cystatin‐C), urine albumin to urine creatinine ratio (uACR) and serum high‐sensitivity C‐reactive protein (hsCRP) levels. Glycaemic control was assessed using HbA1c levels in patients with diabetes mellitus (DM). Results Intra‐group ΔeGFR levels were 10.26 mL/min/1.73 m <jats:sup>2</jats:sup> ( <jats:italic>p</jats:italic> < 0.001) and 11.17 mL/min/1.73 m <jats:sup>2</jats:sup> ( <jats:italic>p</jats:italic> < 0.001), depending on the equation used, favouring IG. hsCRP levels were reduced by 84% ( <jats:italic>p</jats:italic> < 0.001) compared to CG; ΔHbA1c decreased by 0.54% ( <jats:italic>p</jats:italic> = 0.003) at 6 months. uACR was lower but only marginally (not statistically significant) in IG. Conclusion Despite its limitations, this RCT shows that NSPT enhances renal function—increasing eGFR and decreasing hsCRP—and improves glycaemic control in CKD patients with DM.","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"28 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145807509","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}
Emilio Couso‐Queiruga, Manrique Fonseca, Vivianne Chappuis, Gustavo‐Avila Ortiz, Giovanni E. Salvi, Frank Schwarz, Clemens Raabe
Objectives To compare the long‐term survival rate and prevalence of peri‐implant diseases between bone‐level (BL) and tissue‐level (TL) titanium implants. The secondary objective was to assess the effect of implant diameter and other risk indicators of peri‐implant diseases on the outcomes of implant therapy. Materials and Methods Adult patients with at least one non‐molar implant‐supported prosthesis (ISP) were included in the study. Relevant clinical and radiographic outcomes, along with patient‐related, anatomical, surgical and prosthetic‐related factors, were analysed. Results A total of 266 patients and 336 ISPs were included after a mean follow‐up of 11.2 ± 1.5 years. Implant survival rates at the implant level were 99.4% and 98.2% for BL and TL implants, respectively. The prevalence of peri‐implant health, mucositis and peri‐implantitis was comparable between BL (21.1%, 67.5% and 11.4%, respectively) and TL implants (20.5%, 70.5% and 9.0%). Implants with a diameter of 3.3 mm showed lower peri‐implantitis rates (7.2%) compared to those with 4.1 mm (13.3%; p = 0.02). Notably, 3.3 mm TL implants exhibited a significantly lower peri‐implantitis rate (4.8%) than BL implants (9.6%; p < 0.001). Multilevel regression at the implant level showed that parafunctional habits (OR = 0.33, 95% CI: 0.12–0.91) and greater mucosal thickness (OR = 0.44, 95% CI: 0.32–0.60) were cross‐sectionally associated with decreased odds of mucositis, whereas higher plaque scores were cross‐sectionally associated with increased odds (OR = 1.29, 95% CI: 1.03–1.61). Age was cross‐sectionally associated with peri‐implantitis (OR = 0.96, 95% CI: 0.93–0.99), higher plaque score (OR = 1.45, 95% CI: 1.11–1.90), larger implant diameter (OR = 2.98, 95% CI: 1.19–7.45) and smoking (OR = 4.54, 95% CI: 1.42–14.5), while greater mucosal thickness (OR = 0.17, 95% CI: 0.08–0.37) was cross‐sectionally associated with a reduced risk of developing this condition. Conclusions BL and TL implants at non‐molar sites exhibited comparable survival and peri‐implant disease rates. However, TL implants with 3.3 mm diameter showed lower peri‐implantitis rates. A higher plaque score increased the risk of both mucositis and peri‐implantitis, whereas smoking was a strong risk indicator for peri‐implantitis. Greater mucosal thickness was protective against both conditions.
{"title":"Bone‐Level Versus Tissue‐Level Titanium Dental Implants: A Comparative Cross‐Sectional Study","authors":"Emilio Couso‐Queiruga, Manrique Fonseca, Vivianne Chappuis, Gustavo‐Avila Ortiz, Giovanni E. Salvi, Frank Schwarz, Clemens Raabe","doi":"10.1111/jcpe.70080","DOIUrl":"https://doi.org/10.1111/jcpe.70080","url":null,"abstract":"Objectives To compare the long‐term survival rate and prevalence of peri‐implant diseases between bone‐level (BL) and tissue‐level (TL) titanium implants. The secondary objective was to assess the effect of implant diameter and other risk indicators of peri‐implant diseases on the outcomes of implant therapy. Materials and Methods Adult patients with at least one non‐molar implant‐supported prosthesis (ISP) were included in the study. Relevant clinical and radiographic outcomes, along with patient‐related, anatomical, surgical and prosthetic‐related factors, were analysed. Results A total of 266 patients and 336 ISPs were included after a mean follow‐up of 11.2 ± 1.5 years. Implant survival rates at the implant level were 99.4% and 98.2% for BL and TL implants, respectively. The prevalence of peri‐implant health, mucositis and peri‐implantitis was comparable between BL (21.1%, 67.5% and 11.4%, respectively) and TL implants (20.5%, 70.5% and 9.0%). Implants with a diameter of 3.3 mm showed lower peri‐implantitis rates (7.2%) compared to those with 4.1 mm (13.3%; <jats:italic>p</jats:italic> = 0.02). Notably, 3.3 mm TL implants exhibited a significantly lower peri‐implantitis rate (4.8%) than BL implants (9.6%; <jats:italic>p</jats:italic> < 0.001). Multilevel regression at the implant level showed that parafunctional habits (OR = 0.33, 95% CI: 0.12–0.91) and greater mucosal thickness (OR = 0.44, 95% CI: 0.32–0.60) were cross‐sectionally associated with decreased odds of mucositis, whereas higher plaque scores were cross‐sectionally associated with increased odds (OR = 1.29, 95% CI: 1.03–1.61). Age was cross‐sectionally associated with peri‐implantitis (OR = 0.96, 95% CI: 0.93–0.99), higher plaque score (OR = 1.45, 95% CI: 1.11–1.90), larger implant diameter (OR = 2.98, 95% CI: 1.19–7.45) and smoking (OR = 4.54, 95% CI: 1.42–14.5), while greater mucosal thickness (OR = 0.17, 95% CI: 0.08–0.37) was cross‐sectionally associated with a reduced risk of developing this condition. Conclusions BL and TL implants at non‐molar sites exhibited comparable survival and peri‐implant disease rates. However, TL implants with 3.3 mm diameter showed lower peri‐implantitis rates. A higher plaque score increased the risk of both mucositis and peri‐implantitis, whereas smoking was a strong risk indicator for peri‐implantitis. Greater mucosal thickness was protective against both conditions.","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"3 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145807679","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}
Thomas Kocher, Sebastian‐Edgar Baumeister, Henry Völzke, Matthias Nauck, Peter Meisel, Karsten Suhre, Uwe Völker, Nele Friedrich, Birte Holtfreter
Background Theobromine, a methylxanthine mainly found in chocolate, has been suggested to possess various health‐promoting properties. This study aimed to investigate the long‐term effect of salivary theobromine levels on periodontitis severity using 7‐ and 10‐year follow‐up data from the prospective Studies of Health in Pomerania (SHIP‐TREND and SHIP‐START). Materials and Methods We conducted a non‐targeted metabolomics analysis of salivary methylxanthines in 679 participants from SHIP‐TREND and 953 participants from SHIP‐START. Inverse‐probability‐of‐treatment‐weighted generalised linear models were used to assess the relationship between salivary theobromine and periodontal variables, including bleeding on probing, probing depth and clinical attachment loss. Results Higher salivary theobromine levels were significantly associated with improved periodontal health, as evidenced by lower mean probing depth and a reduced percentage of sites with probing depth ≥ 3 mm. The results were successfully replicated in the SHIP‐START data and extended to a lower clinical attachment loss. Discussion Our cohort studies suggest that elevated salivary theobromine levels are associated with improved periodontal parameters over 7 and 10 years. These results indicate the potential for theobromine‐containing products to support periodontal health, warranting further investigation through randomised controlled trials.
{"title":"Elevated Salivary Theobromine and Long‐Term Improvement of Periodontal Health in Two Cohort Studies","authors":"Thomas Kocher, Sebastian‐Edgar Baumeister, Henry Völzke, Matthias Nauck, Peter Meisel, Karsten Suhre, Uwe Völker, Nele Friedrich, Birte Holtfreter","doi":"10.1111/jcpe.70072","DOIUrl":"https://doi.org/10.1111/jcpe.70072","url":null,"abstract":"Background Theobromine, a methylxanthine mainly found in chocolate, has been suggested to possess various health‐promoting properties. This study aimed to investigate the long‐term effect of salivary theobromine levels on periodontitis severity using 7‐ and 10‐year follow‐up data from the prospective Studies of Health in Pomerania (SHIP‐TREND and SHIP‐START). Materials and Methods We conducted a non‐targeted metabolomics analysis of salivary methylxanthines in 679 participants from SHIP‐TREND and 953 participants from SHIP‐START. Inverse‐probability‐of‐treatment‐weighted generalised linear models were used to assess the relationship between salivary theobromine and periodontal variables, including bleeding on probing, probing depth and clinical attachment loss. Results Higher salivary theobromine levels were significantly associated with improved periodontal health, as evidenced by lower mean probing depth and a reduced percentage of sites with probing depth ≥ 3 mm. The results were successfully replicated in the SHIP‐START data and extended to a lower clinical attachment loss. Discussion Our cohort studies suggest that elevated salivary theobromine levels are associated with improved periodontal parameters over 7 and 10 years. These results indicate the potential for theobromine‐containing products to support periodontal health, warranting further investigation through randomised controlled trials.","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"45 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145730639","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}
Hamoun Sabri, Parham Hazrati, Lorenzo Tavelli, Carlos Garaicoa‐Pazmino, Javier Calatrava, Hom‐Lay Wang, Shayan Barootchi
Objective To investigate the associations between peri‐implant phenotype characteristics and long‐term outcomes of soft tissue–level implants. Methods Twenty‐five tissue‐level implants from a previous controlled clinical trial were evaluated at 1‐ and 5‐year follow‐ups after crown delivery. Data included ultrasonographic scans (mucosal thickness and supracrestal tissue height), standardised 2D radiographs, cone beam computed tomography, clinical outcomes (mucosal recession, probing pocket depth, bleeding on probing), patient‐reported outcomes and peri‐implant health status. Standard logistic and linear regression models were used to analyse associations of implant‐ and patient‐related factors with outcomes, including peri‐implant disease status, mucosal recession and marginal bone level (MBL) changes. Results Five‐year implant survival was 100%, with peri‐implant mucositis diagnosed in 36% of the implants. Mean MBL changes from the first to the fifth year was 0.29 ± 0.29 mm. Baseline (pre‐surgical) buccal soft‐tissue thickness < 1.5 mm (OR: 5.20, p = 0.007) and increased plaque scores (OR: 30.11, p < 0.001) were associated with peri‐implant mucositis, whereas buccal bone thickness ≥ 1.5 mm (OR: 0.48, p = 0.039), mucosal thickness around implant (OR: 0.20, p = 0.001) and supracrestal tissue height (OR: 0.50, p = 0.002) emerged as protective factors. Mucosal recession was significantly associated with baseline buccal soft‐tissue thickness < 1.5 mm (estimate = 0.27, p = 0.03) and keratinised mucosa width of < 2 mm (estimate = 0.39, p = 0.021). Clinical thresholds associated with long‐term peri‐implant health were defined as follows: supracrestal tissue height ≥ 2.8 mm, restorative emergence angle ≤ 35.5°, mucosal thickness 1.8 mm and buccal bone thickness 1.5 mm. Patients reported a high overall satisfaction (visual analogue scale: 88.2%). Colour Doppler ultrasonography showed a strong correlation between tissue perfusion and peri‐implant disease ( r = 0.93, p < 0.001). Conclusions Within the limitations of this study, tissue‐level implants showed excellent survival rates and patient satisfaction at 5 years. Several peri‐implant parameters—such as supracrestal tissue height ≥ 2.8 mm, restorative emergence angle ≤ 35.5° and buccal bone thickness ≥ 1.5 mm—were associated with favourable outcomes. These exploratory thresholds may be considered hypothesis‐generating and could help guide future research and clinical monitoring, although validation in larger cohorts is essential. Trial Registration: www.clinicaltrials.gov/study/NCT02925078
目的探讨软组织水平种植体的种植体周围表型特征与长期预后之间的关系。方法在冠植入后1年和5年的随访中，对来自先前对照临床试验的25个组织级种植体进行评估。数据包括超声扫描（粘膜厚度和阴茎上组织高度）、标准化二维x线片、锥束计算机断层扫描、临床结果（粘膜消退、探查袋深度、探查时出血）、患者报告的结果和种植体周围的健康状况。采用标准logistic和线性回归模型分析种植体和患者相关因素与结果的相关性，包括种植体周围疾病状态、粘膜消退和边缘骨水平（MBL）变化。结果种植体5年生存率为100%，36%的种植体被诊断为种植体周围粘膜炎。第一至第五年MBL平均变化为0.29±0.29 mm。基线（术前）颊软组织厚度1.5 mm （OR: 5.20, p = 0.007）和增加的菌斑评分（OR: 30.11, p = 0.001）与种植体周围粘膜炎相关，而颊骨厚度≥1.5 mm （OR: 0.48, p = 0.039）、种植体周围粘膜厚度（OR: 0.20, p = 0.001）和切上组织高度（OR: 0.50, p = 0.002）成为保护因素。粘膜退缩与基线颊软组织厚度1.5 mm（估计= 0.27,p = 0.03）和角化粘膜宽度2 mm（估计= 0.39,p = 0.021）显著相关。与种植体周围长期健康相关的临床阈值定义如下：切上组织高度≥2.8 mm，修复体出牙角≤35.5°，粘膜厚度1.8 mm，颊骨厚度1.5 mm。患者报告了较高的总体满意度（视觉模拟量表：88.2%）。彩色多普勒超声显示组织灌注与种植体周围疾病有很强的相关性（r = 0.93, p < 0.001）。结论：在本研究的局限性内，组织级植入物在5年内具有良好的生存率和患者满意度。几个种植体周围参数，如切上组织高度≥2.8 mm，修复体涌现角≤35.5°和颊骨厚度≥1.5 mm，与良好的结果相关。这些探索性阈值可能被认为是假设生成，可以帮助指导未来的研究和临床监测，尽管在更大的队列中验证是必不可少的。试验注册：www.clinicaltrials.gov/study/NCT02925078
{"title":"Impact of Peri‐Implant Phenotype on Implant Therapy Outcomes: A 5‐Year Cohort Analysis on Soft Tissue—Level Implants","authors":"Hamoun Sabri, Parham Hazrati, Lorenzo Tavelli, Carlos Garaicoa‐Pazmino, Javier Calatrava, Hom‐Lay Wang, Shayan Barootchi","doi":"10.1111/jcpe.70062","DOIUrl":"https://doi.org/10.1111/jcpe.70062","url":null,"abstract":"Objective To investigate the associations between peri‐implant phenotype characteristics and long‐term outcomes of soft tissue–level implants. Methods Twenty‐five tissue‐level implants from a previous controlled clinical trial were evaluated at 1‐ and 5‐year follow‐ups after crown delivery. Data included ultrasonographic scans (mucosal thickness and supracrestal tissue height), standardised 2D radiographs, cone beam computed tomography, clinical outcomes (mucosal recession, probing pocket depth, bleeding on probing), patient‐reported outcomes and peri‐implant health status. Standard logistic and linear regression models were used to analyse associations of implant‐ and patient‐related factors with outcomes, including peri‐implant disease status, mucosal recession and marginal bone level (MBL) changes. Results Five‐year implant survival was 100%, with peri‐implant mucositis diagnosed in 36% of the implants. Mean MBL changes from the first to the fifth year was 0.29 ± 0.29 mm. Baseline (pre‐surgical) buccal soft‐tissue thickness < 1.5 mm (OR: 5.20, <jats:italic>p</jats:italic> = 0.007) and increased plaque scores (OR: 30.11, <jats:italic>p</jats:italic> < 0.001) were associated with peri‐implant mucositis, whereas buccal bone thickness ≥ 1.5 mm (OR: 0.48, <jats:italic>p</jats:italic> = 0.039), mucosal thickness around implant (OR: 0.20, <jats:italic>p</jats:italic> = 0.001) and supracrestal tissue height (OR: 0.50, <jats:italic>p</jats:italic> = 0.002) emerged as protective factors. Mucosal recession was significantly associated with baseline buccal soft‐tissue thickness < 1.5 mm (estimate = 0.27, <jats:italic>p</jats:italic> = 0.03) and keratinised mucosa width of < 2 mm (estimate = 0.39, <jats:italic>p</jats:italic> = 0.021). Clinical thresholds associated with long‐term peri‐implant health were defined as follows: supracrestal tissue height ≥ 2.8 mm, restorative emergence angle ≤ 35.5°, mucosal thickness 1.8 mm and buccal bone thickness 1.5 mm. Patients reported a high overall satisfaction (visual analogue scale: 88.2%). Colour Doppler ultrasonography showed a strong correlation between tissue perfusion and peri‐implant disease ( <jats:italic>r</jats:italic> = 0.93, <jats:italic>p</jats:italic> < 0.001). Conclusions Within the limitations of this study, tissue‐level implants showed excellent survival rates and patient satisfaction at 5 years. Several peri‐implant parameters—such as supracrestal tissue height ≥ 2.8 mm, restorative emergence angle ≤ 35.5° and buccal bone thickness ≥ 1.5 mm—were associated with favourable outcomes. These exploratory thresholds may be considered hypothesis‐generating and could help guide future research and clinical monitoring, although validation in larger cohorts is essential. Trial Registration: <jats:ext-link xmlns:xlink=\"http://www.w3.org/1999/xlink\" xlink:href=\"http://www.clinicaltrials.gov/study/NCT02925078\">www.clinicaltrials.gov/study/NCT02925078</jats:ext-link>","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"33 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145730641","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}
Aim Effective prevention of periodontitis requires addressing multiple modifiable health behaviours (MHBs). This study aimed to examine how MHBs interact and to identify the key behaviours that could serve as targets for intervention. Materials and Methods We analysed data from a large, population‐based survey using questionnaires conducted in China during 2021–2023. Logistic regression was used to examine associations between self‐reported periodontitis and multiple MHBs. Network analysis was applied to assess interrelationships among MHBs and identify central MHBs. Results Among 85,483 participants, 12.8% reported periodontitis. Ten MHBs were associated with self‐reported periodontitis. Ever smoking, ever drinking, unhealthy bedtime, frequent consumption of sugar‐sweetened snacks and beverages, insufficient vegetable or fruit intake and toothbrushing less than twice daily were linked to higher prevalence, while insufficient physical activity, no daily flossing and absence of annual dental checkups were linked to lower prevalence. Network analysis identified ever smoking, ever drinking, toothbrushing frequency and dental checkups as the most central behaviours, with variations observed across different subgroups. Conclusion This study identified key MHBs and revealed differences in central behaviours across subgroups. Ever smoking, ever drinking, toothbrushing frequency and annual dental checkups may represent priority targets for tailored prevention strategies. Future research is warranted to inform integrated interventions.
{"title":"Network Analysis of Health Behaviours Associated With Periodontitis in Chinese Adults","authors":"Ruiying Fu, Yuting Xie, Huang Huang, Peiyuan Sun, Xiuqi Ma, Zhuolun Hu, Yingtai Chen, Xiaofeng Bi, Qiong Chen, Shaokai Zhang, Yin Liu, Ranran Qie, Jiankun Wei, Miaochang Chen, Jieying Zhong, Zhi Qi, Fan Yao, Lijuan Gao, Huanling Yu, Fen Liu, Yao Zhao, Baozhong Chen, Xiaoli Wei, Shasha Qin, Yuhui Du, Guoyu Zhou, Fangfang Yu, Yue Ba, Tingting Shang, Yaqun Zhang, Shan Zheng, Dongmei Xie, Xiaolan Chen, Xiaoling Liu, Cairong Zhu, Weiwei Wu, Yongliang Feng, Ying Wang, Qi Yan, Mengyao Wu, Yubing Lin, Kaiyong Zou, Yawei Zhang","doi":"10.1111/jcpe.70075","DOIUrl":"https://doi.org/10.1111/jcpe.70075","url":null,"abstract":"Aim Effective prevention of periodontitis requires addressing multiple modifiable health behaviours (MHBs). This study aimed to examine how MHBs interact and to identify the key behaviours that could serve as targets for intervention. Materials and Methods We analysed data from a large, population‐based survey using questionnaires conducted in China during 2021–2023. Logistic regression was used to examine associations between self‐reported periodontitis and multiple MHBs. Network analysis was applied to assess interrelationships among MHBs and identify central MHBs. Results Among 85,483 participants, 12.8% reported periodontitis. Ten MHBs were associated with self‐reported periodontitis. Ever smoking, ever drinking, unhealthy bedtime, frequent consumption of sugar‐sweetened snacks and beverages, insufficient vegetable or fruit intake and toothbrushing less than twice daily were linked to higher prevalence, while insufficient physical activity, no daily flossing and absence of annual dental checkups were linked to lower prevalence. Network analysis identified ever smoking, ever drinking, toothbrushing frequency and dental checkups as the most central behaviours, with variations observed across different subgroups. Conclusion This study identified key MHBs and revealed differences in central behaviours across subgroups. Ever smoking, ever drinking, toothbrushing frequency and annual dental checkups may represent priority targets for tailored prevention strategies. Future research is warranted to inform integrated interventions.","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"15 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145730643","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}
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