Marcella Costa Ribeiro, Ana Paula Vieira Colombo, Adriana Miranda de Oliveira, Talita Gomes Baêta Lourenço, Heitor Marques Honório, Ellen Cristini de Freitas, Michel Reis Messora, Flávia Aparecida Chaves Furlaneto
Aim
To characterise periodontal and faecal microbiomes of individuals with periodontal health (PH) and diseases, and evaluate associations with periodontal, sociodemographic, anthropometric, nutritional and lifestyle factors.
Materials and Methods
Dental biofilm and faecal samples from individuals (n = 24/group) with PH, gingivitis (GG) and periodontitis (PE) were sequenced (16S rRNA). Anthropometric data and questionnaires on demographics, lifestyle, diet and intestinal habits were collected. Data were statistically analysed (p < 0.05).
Results
GG and PE groups showed higher age, BMI, waist/abdominal circumferences and trans-fat intake and lower selenium and vitamin E intake compared to PH. Individuals with PE had higher hip circumference and lower income, education and intake of iron as well as vitamins A and B9. PE microbiomes (oral and faecal) showed distinct compositions, with the highest number of unique oral species. Faecal richness was lower in PE and GG compared to PH. Specific microbial taxa correlated with periodontal status and host factors.
Conclusion
Periodontal and faecal microbiomes vary across periodontal conditions. Discriminant analysis classified 77% of individuals by periodontal status, with key markers for PE including older age, poor dietary quality and distinct microbial oral and faecal signatures. These findings highlight the role of clinical, dietary and microbial factors in periodontal disease profiling.
{"title":"The Interplay Between Lifestyle and Oral/Faecal Microbial Profiles Among Periodontal Disease Patients: A Cross-Sectional Study","authors":"Marcella Costa Ribeiro, Ana Paula Vieira Colombo, Adriana Miranda de Oliveira, Talita Gomes Baêta Lourenço, Heitor Marques Honório, Ellen Cristini de Freitas, Michel Reis Messora, Flávia Aparecida Chaves Furlaneto","doi":"10.1111/jcpe.70029","DOIUrl":"10.1111/jcpe.70029","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To characterise periodontal and faecal microbiomes of individuals with periodontal health (PH) and diseases, and evaluate associations with periodontal, sociodemographic, anthropometric, nutritional and lifestyle factors.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>Dental biofilm and faecal samples from individuals (<i>n</i> = 24/group) with PH, gingivitis (GG) and periodontitis (PE) were sequenced (16S rRNA). Anthropometric data and questionnaires on demographics, lifestyle, diet and intestinal habits were collected. Data were statistically analysed (<i>p</i> < 0.05).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>GG and PE groups showed higher age, BMI, waist/abdominal circumferences and trans-fat intake and lower selenium and vitamin E intake compared to PH. Individuals with PE had higher hip circumference and lower income, education and intake of iron as well as vitamins A and B9. PE microbiomes (oral and faecal) showed distinct compositions, with the highest number of unique oral species. Faecal richness was lower in PE and GG compared to PH. Specific microbial taxa correlated with periodontal status and host factors.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Periodontal and faecal microbiomes vary across periodontal conditions. Discriminant analysis classified 77% of individuals by periodontal status, with key markers for PE including older age, poor dietary quality and distinct microbial oral and faecal signatures. These findings highlight the role of clinical, dietary and microbial factors in periodontal disease profiling.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"53 1","pages":"82-97"},"PeriodicalIF":6.8,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jcpe.70029","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145008716","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}
Zoheir Alayash, Sebastian-Edgar Baumeister, Birte Holtfreter, Thomas Kocher, Hansjörg Baurecht, Benjamin Ehmke, Daniel Hagenfeld, Stefan Lars Reckelkamm, Michael Nolde
Background and Objective
Periodontitis is a chronic inflammatory disease driven by immune dysfunction and microbial imbalance. This study aims to identify circulating druggable proteins causally linked to the disease.
Materials and Methods
We integrated proteomics data from deCODE genetics with periodontitis genome-wide association studies (GWAS) from the Million Veteran Program to identify proteins associated with periodontitis. Findings were replicated using GWAS data from the Gene-Lifestyle Interactions in Dental Endpoints consortium. Causal associations were validated using genetic and statistical methods, and the identified proteins were assessed for biological relevance and druggability.
Results
Among the 2088 evaluated proteins, three showed robust evidence of causal association with periodontitis: FGF2 (fibroblast growth factor 2) (odds ratio [OR]: 1.06, 95% confidence interval [CI] 1.032–1.082), AZGP1 (zinc-alpha-2-glycoprotein) (OR: 1.12, 95% CI 1.058–1.189) and BTC (betacellulin) (OR: 0.86, 95% CI 0.789–0.942). Replication analysis confirmed associations for 18 proteins, with 16 showing high colocalisation. Further evaluation of drug target databases revealed indirect links between the identified proteins and approved therapies for inflammatory conditions, suggesting potential therapeutic relevance.
Conclusion
This study identifies three circulating proteins—FGF2, AZGP1 and BTC—as causally associated with periodontitis, highlighting their potential as therapeutic targets. These results provide a foundation for future research into targeted therapies for periodontitis.
背景与目的牙周炎是一种由免疫功能障碍和微生物失衡引起的慢性炎症性疾病。这项研究旨在确定与该疾病有因果关系的循环药物蛋白。材料和方法我们将来自deCODE genetics的蛋白质组学数据与来自百万退伍军人计划的牙周炎全基因组关联研究（GWAS）相结合，以鉴定与牙周炎相关的蛋白质。研究结果使用来自牙科终点基因-生活方式相互作用联盟的GWAS数据进行了重复。使用遗传和统计方法验证因果关系，并评估鉴定的蛋白质的生物学相关性和药物性。结果在评估的2088种蛋白中，有3种蛋白显示出与牙周炎相关的有力证据：FGF2（成纤维细胞生长因子2）（比值比[OR]: 1.06, 95%可信区间[CI] 1.032-1.082）、AZGP1（锌- α - 2 -糖蛋白）（比值比：1.12,95% CI 1.058-1.189）和BTC （β细胞蛋白）（比值比：0.86,95% CI 0.789-0.942）。复制分析证实了18种蛋白质的相关性，其中16种显示高共定位。对药物靶标数据库的进一步评估显示，鉴定的蛋白质与已批准的炎症治疗之间存在间接联系，这表明潜在的治疗相关性。本研究确定了三种循环蛋白fgf2、AZGP1和btc与牙周炎有因果关系，突出了它们作为治疗靶点的潜力。这些结果为进一步研究牙周炎的靶向治疗奠定了基础。
{"title":"Proteome-Guided Drug Target Discovery for Periodontitis","authors":"Zoheir Alayash, Sebastian-Edgar Baumeister, Birte Holtfreter, Thomas Kocher, Hansjörg Baurecht, Benjamin Ehmke, Daniel Hagenfeld, Stefan Lars Reckelkamm, Michael Nolde","doi":"10.1111/jcpe.70032","DOIUrl":"10.1111/jcpe.70032","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background and Objective</h3>\u0000 \u0000 <p>Periodontitis is a chronic inflammatory disease driven by immune dysfunction and microbial imbalance. This study aims to identify circulating druggable proteins causally linked to the disease.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>We integrated proteomics data from deCODE genetics with periodontitis genome-wide association studies (GWAS) from the Million Veteran Program to identify proteins associated with periodontitis. Findings were replicated using GWAS data from the Gene-Lifestyle Interactions in Dental Endpoints consortium. Causal associations were validated using genetic and statistical methods, and the identified proteins were assessed for biological relevance and druggability.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Among the 2088 evaluated proteins, three showed robust evidence of causal association with periodontitis: FGF2 (fibroblast growth factor 2) (odds ratio [OR]: 1.06, 95% confidence interval [CI] 1.032–1.082), AZGP1 (zinc-alpha-2-glycoprotein) (OR: 1.12, 95% CI 1.058–1.189) and BTC (betacellulin) (OR: 0.86, 95% CI 0.789–0.942). Replication analysis confirmed associations for 18 proteins, with 16 showing high colocalisation. Further evaluation of drug target databases revealed indirect links between the identified proteins and approved therapies for inflammatory conditions, suggesting potential therapeutic relevance.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>This study identifies three circulating proteins—FGF2, AZGP1 and BTC—as causally associated with periodontitis, highlighting their potential as therapeutic targets. These results provide a foundation for future research into targeted therapies for periodontitis.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"53 1","pages":"127-136"},"PeriodicalIF":6.8,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jcpe.70032","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145002996","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}
Kristian Nevland, Øystein Fardal, Hildegunn Høberg Vetti, Anne Isine Bolstad
Aim
To describe the oral characteristics and evaluate the oral health status of patients with PTEN hamartoma tumour syndrome (PHTS).
Materials and Methods
This descriptive cross-sectional study enrolled participants diagnosed with PHTS at Haukeland University Hospital, Bergen, Norway. A comprehensive oral investigation was performed, including clinical dental and periodontal examination, assessments of gingival overgrowth and palate architecture, intraoral radiographs, orthopantomogram and intraoral optical scanning.
Results
Twenty PHTS patients (13 females), with a median age of 45 years, participated in the study. A median of 25.5 teeth were present, and a DMFT score of 17 and DMFS score of 58 were recorded. Eleven patients (55%) were diagnosed with periodontitis, with seven classified as stage II, grade B, and four as stage IV, grade C. Nineteen patients (95%) had gingival overgrowth; the median clinical and photographic gingival overgrowth score was 2.0 and 40%, respectively, with 45% of the patients requiring treatment for the condition. Mucosal lesions were a universal finding. Palate height index was 52.0. Eight patients had 13 cancer diagnoses in total.
Conclusion
PHTS patients face significant oral health challenges, including compromised dental and periodontal health, prevalent gingival overgrowth, mucosal lesions and a high-arched palate. The findings highlight oral features that may facilitate early recognition of PHTS and reinforce the importance of integrating oral health care into patient management.
{"title":"Oral Characteristics in Individuals With PTEN Hamartoma Tumour Syndrome","authors":"Kristian Nevland, Øystein Fardal, Hildegunn Høberg Vetti, Anne Isine Bolstad","doi":"10.1111/jcpe.70005","DOIUrl":"10.1111/jcpe.70005","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To describe the oral characteristics and evaluate the oral health status of patients with <i>PTEN</i> hamartoma tumour syndrome (PHTS).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>This descriptive cross-sectional study enrolled participants diagnosed with PHTS at Haukeland University Hospital, Bergen, Norway. A comprehensive oral investigation was performed, including clinical dental and periodontal examination, assessments of gingival overgrowth and palate architecture, intraoral radiographs, orthopantomogram and intraoral optical scanning.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Twenty PHTS patients (13 females), with a median age of 45 years, participated in the study. A median of 25.5 teeth were present, and a DMFT score of 17 and DMFS score of 58 were recorded. Eleven patients (55%) were diagnosed with periodontitis, with seven classified as stage II, grade B, and four as stage IV, grade C. Nineteen patients (95%) had gingival overgrowth; the median clinical and photographic gingival overgrowth score was 2.0 and 40%, respectively, with 45% of the patients requiring treatment for the condition. Mucosal lesions were a universal finding. Palate height index was 52.0. Eight patients had 13 cancer diagnoses in total.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>PHTS patients face significant oral health challenges, including compromised dental and periodontal health, prevalent gingival overgrowth, mucosal lesions and a high-arched palate. The findings highlight oral features that may facilitate early recognition of PHTS and reinforce the importance of integrating oral health care into patient management.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"52 12","pages":"1698-1711"},"PeriodicalIF":6.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144928603","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}
Li Liang, Zhen Liu, Nan Yang, Yu Xia, Chen Wang, Hui Gao, Ji-Feng Yu
<div> <section> <h3> Aim</h3> <p>This study investigates the association between periodontitis and anxiety, focusing on the role of the chemokine CCL2 in mediating this relationship.</p> </section> <section> <h3> Materials and Methods</h3> <p>This study comprises an analytical cross-sectional study and a preclinical in vivo study. In the analytical cross-sectional study, anxiety levels were assessed in individuals with periodontitis and healthy controls using the Hamilton Anxiety Rating Scale (HAMA). Blood and periodontal tissue samples were analysed for CCL2 levels via ELISA and monocyte counts via flow cytometry. In the preclinical in vivo study, a mouse model of ligature-induced periodontitis was established. Anxiety-like behaviours were evaluated using the Open Field Test and Elevated Plus Maze. Blood as well as periodontal and brain tissues were collected to measure CCL2 levels and monocyte/macrophage infiltration through ELISA and flow cytometry. Tight junction proteins in periodontal tissues and brain microvessels were analysed via Western blotting and immunofluorescence. Blood–brain barrier (BBB) permeability was assessed using Evans Blue extravasation. A CCL2-neutralising antibody was administered to assess its effects on anxiety and periodontal pathology.</p> </section> <section> <h3> Results</h3> <p>In the analytical cross-sectional study (50 individuals with periodontitis and 50 healthy controls), individuals with periodontitis showed higher anxiety levels, correlating with elevated CCL2 levels in blood (56.84 [15.87] pg/mL vs. 19.28 [7.47] pg/mL in controls, <i>p</i> < 0.0001) and periodontal tissues (67.37 [23.10] pg/mL vs. 22.77 [10.21] pg/mL in controls, <i>p</i> < 0.0001), as well as increased monocyte counts (CD14 <sup>+</sup> monocytes in blood: 8.08 [3.01]% vs. 5.28 [1.84]% in controls, <i>p</i> < 0.01). In the preclinical in vivo study (total <i>n</i> = 80 mice, with <i>n</i> = 8 per group in analyses), periodontal inflammation increased CCL2 expression in periodontal tissues (125.80 [55.10] pg/mL vs. 25.13 [4.89] pg/mL in controls, <i>p</i> < 0.001) and blood (111.10 [47.80] pg/mL vs. 22.21 [5.39] pg/mL in controls, <i>p</i> < 0.001), enhanced monocyte/macrophage infiltration into periodontal tissues (7.75 [1.96]% vs. 4.82 [0.82]% in controls, <i>p</i> < 0.01) and brain (2.78 [0.91]% vs. 1.38 [0.47]% in controls, <i>p</i> < 0.01), disrupted the integrity of periodontal tight junction and blood–brain barrier and increased anxiety-like behaviours. Administration of CCL2-neutralising antibody reduced anxiety-like behaviours, attenuated alveolar bone loss and local inflammation and decreased monocyte/macrophage infiltration and barrier integrity disruption.
目的探讨牙周炎与焦虑之间的关系，重点探讨趋化因子CCL2在这一关系中的作用。材料和方法本研究包括一项分析性横断面研究和一项临床前体内研究。在分析性横断面研究中，使用汉密尔顿焦虑评定量表（HAMA）评估牙周炎患者和健康对照者的焦虑水平。通过ELISA和流式细胞术分析血液和牙周组织样本的CCL2水平和单核细胞计数。在临床前体内研究中，建立了结扎性牙周炎小鼠模型。使用开放场地测试和高架迷宫对焦虑样行为进行评估。采集血、牙周组织和脑组织，采用ELISA和流式细胞术检测CCL2水平和单核/巨噬细胞浸润情况。采用Western blotting和免疫荧光法分析牙周组织和脑微血管的紧密连接蛋白。采用Evans Blue外渗法评价血脑屏障（BBB）通透性。使用CCL2中和抗体来评估其对焦虑和牙周病理的影响。结果在横断面分析研究中（50名牙周炎患者和50名健康对照），牙周炎患者表现出更高的焦虑水平，与血液CCL2水平升高（56.84 [15.87]pg/mL，对照组19.28 [7.47]pg/mL, p < 0.0001）和牙周组织CCL2水平升高（67.37 [23.10]pg/mL，对照组22.77 [10.21]pg/mL, p < 0.0001）以及单核细胞计数增加（血液CD14+单核细胞）相关。对照组为8.08[3.01]%比5.28 [1.84]%,p < 0.01)。在临床前体内研究中（共80只小鼠，每组8只），牙周炎症增加了牙周组织（125.80 [55.10]pg/mL，对照组为25.13 [4.89]pg/mL, p < 0.001）和血液（111.10 [47.80]pg/mL，对照组为22.21 [5.39]pg/mL, p < 0.001）中CCL2的表达，增加了单核细胞/巨噬细胞向牙周组织（7.75[1.96]%，对照组为4.82 [0.82]%,p < 0.01）和大脑（2.78[0.91]%，对照组为1.38[0.47]%）的浸润。P < 0.01)，破坏牙周紧密连接和血脑屏障的完整性，增加焦虑样行为。给予CCL2中和抗体可减少焦虑样行为，减轻牙槽骨丢失和局部炎症，减少单核细胞/巨噬细胞浸润和屏障完整性破坏。结论：本研究确定了牙周炎与焦虑之间的关联，CCL2介导的炎症发病机制可能是其潜在机制。
{"title":"CCL2-Driven Inflammation Links Periodontitis to Anxiety","authors":"Li Liang, Zhen Liu, Nan Yang, Yu Xia, Chen Wang, Hui Gao, Ji-Feng Yu","doi":"10.1111/jcpe.70020","DOIUrl":"10.1111/jcpe.70020","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>This study investigates the association between periodontitis and anxiety, focusing on the role of the chemokine CCL2 in mediating this relationship.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>This study comprises an analytical cross-sectional study and a preclinical in vivo study. In the analytical cross-sectional study, anxiety levels were assessed in individuals with periodontitis and healthy controls using the Hamilton Anxiety Rating Scale (HAMA). Blood and periodontal tissue samples were analysed for CCL2 levels via ELISA and monocyte counts via flow cytometry. In the preclinical in vivo study, a mouse model of ligature-induced periodontitis was established. Anxiety-like behaviours were evaluated using the Open Field Test and Elevated Plus Maze. Blood as well as periodontal and brain tissues were collected to measure CCL2 levels and monocyte/macrophage infiltration through ELISA and flow cytometry. Tight junction proteins in periodontal tissues and brain microvessels were analysed via Western blotting and immunofluorescence. Blood–brain barrier (BBB) permeability was assessed using Evans Blue extravasation. A CCL2-neutralising antibody was administered to assess its effects on anxiety and periodontal pathology.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>In the analytical cross-sectional study (50 individuals with periodontitis and 50 healthy controls), individuals with periodontitis showed higher anxiety levels, correlating with elevated CCL2 levels in blood (56.84 [15.87] pg/mL vs. 19.28 [7.47] pg/mL in controls, <i>p</i> < 0.0001) and periodontal tissues (67.37 [23.10] pg/mL vs. 22.77 [10.21] pg/mL in controls, <i>p</i> < 0.0001), as well as increased monocyte counts (CD14\u0000 <sup>+</sup> monocytes in blood: 8.08 [3.01]% vs. 5.28 [1.84]% in controls, <i>p</i> < 0.01). In the preclinical in vivo study (total <i>n</i> = 80 mice, with <i>n</i> = 8 per group in analyses), periodontal inflammation increased CCL2 expression in periodontal tissues (125.80 [55.10] pg/mL vs. 25.13 [4.89] pg/mL in controls, <i>p</i> < 0.001) and blood (111.10 [47.80] pg/mL vs. 22.21 [5.39] pg/mL in controls, <i>p</i> < 0.001), enhanced monocyte/macrophage infiltration into periodontal tissues (7.75 [1.96]% vs. 4.82 [0.82]% in controls, <i>p</i> < 0.01) and brain (2.78 [0.91]% vs. 1.38 [0.47]% in controls, <i>p</i> < 0.01), disrupted the integrity of periodontal tight junction and blood–brain barrier and increased anxiety-like behaviours. Administration of CCL2-neutralising antibody reduced anxiety-like behaviours, attenuated alveolar bone loss and local inflammation and decreased monocyte/macrophage infiltration and barrier integrity disruption.","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"52 12","pages":"1813-1825"},"PeriodicalIF":6.8,"publicationDate":"2025-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144923862","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}
Jean-Claude Imber, Andrea Roccuzzo, Alberto Monje, Benjamin Pippenger, Dieter D. Bosshardt, Anton Sculean, Daniel Buser
Aim
To assess buccal vertical bone resorption following implant placement in healed sites with varying buccal bone wall thicknesses.
Materials and Methods
In 11 miniature pigs, three tapered hybrid titanium implants were placed per hemi-maxilla in healed bone. Sites were randomised into three groups based on buccal bone wall thickness: G1 (< 1.0 mm), G2 (1.0–1.5 mm) and G3 (> 1.5 mm). Animals were euthanised at 24 h and 2, 4 or 8 weeks. Histological and histometric analyses were performed. The primary outcome was the vertical distance from the transition point (TP) between the machined and moderately rough implant surfaces to the first bone-to-implant contact (fBIC).
Results
Healing was uneventful. At 2 weeks, all groups showed buccal resorption, although G3 exhibited earlier bone apposition and fewer resorptive signs. By 8 weeks, all G1 implants displayed exposure of the moderately rough surface, while only one implant in G3 showed exposure. TP-fBIC values at 8 weeks were 0.92 ± 0.63 mm (G1), 0.27 ± 0.54 mm (G2, p = 0.041) and −0.16 ± 0.17 mm (G3, p = 0.0002). Bone-to-implant contact increased over time across all groups.
Conclusion
Thin buccal bone walls (< 1 mm) were associated with greater vertical bone loss and implant surface exposure, whereas thick walls (> 1.5 mm) preserved the buccal bone better and protected the implant surface.
目的探讨不同颊骨壁厚度愈合部位种植体植入后的颊垂直骨吸收情况。材料与方法在11头小型猪的半颌愈合骨中植入3个锥形杂交钛种植体。根据颊骨壁厚度随机分为三组：G1 （1.0 mm）、G2 （1.0 - 1.5 mm）和G3 （1.5 mm）。动物分别于24小时、2周、4周和8周实施安乐死。进行组织学和组织计量学分析。主要结果是从加工过的和中等粗糙的种植体表面之间的过渡点（TP）到第一个骨-种植体接触（fBIC）的垂直距离。结果愈合过程平稳。2周时，所有组均出现口腔吸收，但G3组表现出更早的骨附着和更少的吸收征象。8周时，G1组所有种植体表面均出现中等粗糙暴露，G3组只有1个种植体表面出现暴露。8周时TP‐fBIC值分别为0.92±0.63 mm （G1）、0.27±0.54 mm （G2, p = 0.041）和- 0.16±0.17 mm （G3, p = 0.0002）。骨与种植体的接触随着时间的推移而增加。结论较薄的颊骨壁（1 mm）有较大的垂直骨丢失和种植体表面暴露，而厚的颊骨壁（1.5 mm）能较好地保留颊骨并保护种植体表面。
{"title":"Buccal Bone Wall Thickness Dictates the Extent of Vertical Buccal Bone Loss Following Implant Placement: A Preclinical Study","authors":"Jean-Claude Imber, Andrea Roccuzzo, Alberto Monje, Benjamin Pippenger, Dieter D. Bosshardt, Anton Sculean, Daniel Buser","doi":"10.1111/jcpe.70027","DOIUrl":"10.1111/jcpe.70027","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To assess buccal vertical bone resorption following implant placement in healed sites with varying buccal bone wall thicknesses.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>In 11 miniature pigs, three tapered hybrid titanium implants were placed per hemi-maxilla in healed bone. Sites were randomised into three groups based on buccal bone wall thickness: G1 (< 1.0 mm), G2 (1.0–1.5 mm) and G3 (> 1.5 mm). Animals were euthanised at 24 h and 2, 4 or 8 weeks. Histological and histometric analyses were performed. The primary outcome was the vertical distance from the transition point (TP) between the machined and moderately rough implant surfaces to the first bone-to-implant contact (fBIC).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Healing was uneventful. At 2 weeks, all groups showed buccal resorption, although G3 exhibited earlier bone apposition and fewer resorptive signs. By 8 weeks, all G1 implants displayed exposure of the moderately rough surface, while only one implant in G3 showed exposure. TP-fBIC values at 8 weeks were 0.92 ± 0.63 mm (G1), 0.27 ± 0.54 mm (G2, <i>p</i> = 0.041) and −0.16 ± 0.17 mm (G3, <i>p</i> = 0.0002). Bone-to-implant contact increased over time across all groups.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Thin buccal bone walls (< 1 mm) were associated with greater vertical bone loss and implant surface exposure, whereas thick walls (> 1.5 mm) preserved the buccal bone better and protected the implant surface.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"52 12","pages":"1791-1801"},"PeriodicalIF":6.8,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jcpe.70027","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144919139","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}
To evaluate the clinical outcomes of collagen sponges (CSs) on wound healing following palatal graft harvesting and compare their efficacy with gelatine sponges (GSs).
Materials and Methods
Thirty-two participants who had undergone free gingival grafts or de-epithelialised gingival grafts were randomised into the CS group or the GS group. Wound healing rate was calculated as the percentage of the healed wound area divided by the initial wound area. Wound healing rate and complete epithelialisation were evaluated at 1, 2, 3 and 4 weeks. Postoperative pain was assessed on days 1, 3 and 7. Willingness to repeat graft harvesting, delayed bleeding and aesthetic outcomes were also recorded.
Results
CS group had higher wound healing rates than GS group at 1 and 2 weeks (24.44% ± 6.28% vs. 5.56% ± 2.19%, p < 0.01; 91.54% ± 3.20% vs. 75.56% ± 4.77%, p < 0.05). Complete epithelialisation was achieved within 2–3 weeks in CS group and within 2–4 weeks in GS group, but no significant difference was found. Postoperative pain in VAS was lower in the CS group on Day 1 compared with the GS group (1.6 ± 0.4 vs. 3.1 ± 0.5, p < 0.05). No significant difference could be detected in willingness to repeat graft harvesting, delayed bleeding and aesthetic outcomes.
Conclusions
Compared with GS, CS seemed to offer improved early healing and reduced postoperative pain following palatal graft harvesting.
Trial Registration
This trial was registered in the Chinese Clinical Trial Registry with the registration number ChiCTR2200057221 (https://www.chictr.org.cn/showproj.html?proj=154474) on March 4, 2022
目的评价胶原海绵（CSs）在腭移植术后创面愈合中的临床效果，并与明胶海绵（GSs）进行比较。材料和方法32例接受游离牙龈移植或去上皮化牙龈移植的患者随机分为CS组和GS组。创面愈合率计算为创面愈合面积除以初始创面面积的百分比。分别于1、2、3、4周观察创面愈合率和上皮化程度。术后第1、3、7天评估疼痛。重复移植的意愿，延迟出血和美学结果也被记录。结果scs组创面愈合率高于GS组（24.44%±6.28% vs. 5.56%±2.19%,p < 0.01; 91.54%±3.20% vs. 75.56%±4.77%,p < 0.05）。CS组在2 ~ 3周内完成上皮化，GS组在2 ~ 4周内完成上皮化，差异无统计学意义。CS组术后第1天VAS疼痛低于GS组（1.6±0.4比3.1±0.5,p < 0.05）。在重复移植的意愿、延迟出血和美学结果方面没有显著差异。结论与GS相比，CS似乎可以改善腭移植术后的早期愈合和减少术后疼痛。试验注册本试验于2022年3月4日在中国临床试验注册中心注册，注册号为ChiCTR2200057221 （https://www.chictr.org.cn/showproj.html?proj=154474）
{"title":"Efficacy of Collagen Sponges and Gelatine Sponges as Dressing for Palatal Wounds: A Randomised Controlled Clinical Trial","authors":"Jia-Ping Huang, Yao Jiang, Xiao-Yuan Cheng, Jing Wang, Yu-Han Huang, Anna Dai, Shuai Zhou, Wei-Yi Pan, Shu-Lei Fu, Yi-Yu Wang, Pei-Hui Ding","doi":"10.1111/jcpe.70028","DOIUrl":"10.1111/jcpe.70028","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To evaluate the clinical outcomes of collagen sponges (CSs) on wound healing following palatal graft harvesting and compare their efficacy with gelatine sponges (GSs).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>Thirty-two participants who had undergone free gingival grafts or de-epithelialised gingival grafts were randomised into the CS group or the GS group. Wound healing rate was calculated as the percentage of the healed wound area divided by the initial wound area. Wound healing rate and complete epithelialisation were evaluated at 1, 2, 3 and 4 weeks. Postoperative pain was assessed on days 1, 3 and 7. Willingness to repeat graft harvesting, delayed bleeding and aesthetic outcomes were also recorded.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>CS group had higher wound healing rates than GS group at 1 and 2 weeks (24.44% ± 6.28% vs. 5.56% ± 2.19%, <i>p</i> < 0.01; 91.54% ± 3.20% vs. 75.56% ± 4.77%, <i>p</i> < 0.05). Complete epithelialisation was achieved within 2–3 weeks in CS group and within 2–4 weeks in GS group, but no significant difference was found. Postoperative pain in VAS was lower in the CS group on Day 1 compared with the GS group (1.6 ± 0.4 vs. 3.1 ± 0.5, <i>p</i> < 0.05). No significant difference could be detected in willingness to repeat graft harvesting, delayed bleeding and aesthetic outcomes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Compared with GS, CS seemed to offer improved early healing and reduced postoperative pain following palatal graft harvesting.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Trial Registration</h3>\u0000 \u0000 <p>This trial was registered in the Chinese Clinical Trial Registry with the registration number ChiCTR2200057221 (https://www.chictr.org.cn/showproj.html?proj=154474) on March 4, 2022</p>\u0000 </section>\u0000 </div>","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"53 1","pages":"37-45"},"PeriodicalIF":6.8,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144915362","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}
Anna Trullenque-Eriksson, Fernando Valentim Bitencourt, Cristiano Tomasi, Tord Berglundh, Jan Derks
Aim
To evaluate the association between diabetes (types 1 and 2) and peri-implantitis through a register-based cohort study.
Methods
Four groups of individuals with dental implants were identified using multiple Swedish nationwide registers—two groups with diabetes (type 1, T1D; type 2, T2D) and two groups without diabetes (non-T1D, non-T2D). Longitudinal data from 2010 to 2020 were analysed. Peri-implantitis was defined as any registered treatment of peri-implantitis. Prevalence of peri-implantitis (n = 18,975) was evaluated using covariate-adjusted logistic regression analyses. Incidence (n = 2030) was compared using survival analyses across groups matched by age, gender, education, income and the number of implants, through propensity scores.
Results
Peri-implantitis was more frequent among those with T1D compared to non-T1D (21.1% vs. 15.2%; OR 1.46, 95% CI: 1.05–2.04), whereas the prevalence was similar in T2D and non-T2D (20.5% vs. 18.2%; OR 1.06, 95% CI: 0.98–1.16). The hazard ratios for incident peri-implantitis were 1.52 (95% CI: 0.96–2.42) and 1.36 (95% CI: 1.02–1.82) for T1D and T2D, respectively.
Conclusions
T1D and T2D were associated with a higher risk for peri-implantitis. While the elevated risk for peri-implantitis in T1D was particularly apparent in prevalence estimates, the association for T2D was evident mainly in terms of incidence.
{"title":"Association Between Diabetes and Peri-Implantitis: Evidence From a Swedish Register-Based Study","authors":"Anna Trullenque-Eriksson, Fernando Valentim Bitencourt, Cristiano Tomasi, Tord Berglundh, Jan Derks","doi":"10.1111/jcpe.70023","DOIUrl":"10.1111/jcpe.70023","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To evaluate the association between diabetes (types 1 and 2) and peri-implantitis through a register-based cohort study.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Four groups of individuals with dental implants were identified using multiple Swedish nationwide registers—two groups with diabetes (type 1, T1D; type 2, T2D) and two groups without diabetes (non-T1D, non-T2D). Longitudinal data from 2010 to 2020 were analysed. Peri-implantitis was defined as any registered treatment of peri-implantitis. Prevalence of peri-implantitis (<i>n</i> = 18,975) was evaluated using covariate-adjusted logistic regression analyses. Incidence (<i>n</i> = 2030) was compared using survival analyses across groups matched by age, gender, education, income and the number of implants, through propensity scores.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Peri-implantitis was more frequent among those with T1D compared to non-T1D (21.1% vs. 15.2%; OR 1.46, 95% CI: 1.05–2.04), whereas the prevalence was similar in T2D and non-T2D (20.5% vs. 18.2%; OR 1.06, 95% CI: 0.98–1.16). The hazard ratios for incident peri-implantitis were 1.52 (95% CI: 0.96–2.42) and 1.36 (95% CI: 1.02–1.82) for T1D and T2D, respectively.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>T1D and T2D were associated with a higher risk for peri-implantitis. While the elevated risk for peri-implantitis in T1D was particularly apparent in prevalence estimates, the association for T2D was evident mainly in terms of incidence.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"52 12","pages":"1650-1661"},"PeriodicalIF":6.8,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jcpe.70023","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144915361","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}
Georgios N. Antonoglou, Spyridon N. Papageorgiou, Ana Carrillo de Albornoz, Michael Payer, Andreas Stavropoulos
Aim
To assess the potential benefit of using adjunct systemic antibiotics in surgical peri-implantitis treatment.
Materials and Methods
Six databases were searched (December 2024) for randomised/non-randomised clinical studies. After duplicate study selection, data extraction and risk-of-bias assessment, random-effects meta-analyses of odds ratios (ORs) or mean differences (MDs) and their 95% confidence intervals (CIs) were performed, followed by the analysis of certainty of evidence.
Results
Seven studies (three randomised and four non-randomised, comprising 595 patients and 1388 implants) were included. Systemic antibiotics were associated with greater short-term treatment success (n = 5; OR = 2.33; 95% CI: 1.29–4.21), bone gain (n = 4; MD = 0.37 mm; 95% CI: –0.68 to –0.07), increased bone level stability (n = 3; OR = 2.73; 95% CI: 1.50–4.99), reduced bleeding on probing (n = 6; OR = 0.49; 95% CI: 0.31–0.78), reduced suppuration on probing (n = 3; OR = 0.33; 95% CI: 0.18–0.61) and increased gingival recession (n = 3; MD = 0.18 mm; 95% CI: 0–0.36 mm) (p < 0.05). Systemic antibiotics seem to benefit only implants with modified surfaces (ORs: modified 4.10 vs. turned 0.79), and event that, without long-term benefits (≥ 3 years). Finally, one trial found that antibiotics probably increased diarrhoea risk.
Conclusions
Evidence from randomised/non-randomised studies seems to indicate that systemic antibiotics benefit surgical peri-implantitis treatment, in the short term (1–2 years), especially for implants with a modified surface, while data on adverse effects is scarce. No substantial long-term benefits are seen (≥ 3 years). Uncertainty still exists regarding the potential benefit of systemic antibiotics as adjunct to surgical management of peri-implantitis.
{"title":"Do Systemic Antibiotics Offer Benefits to the Surgical Treatment of Peri-Implantitis? A Systematic Review With Meta-Analyses","authors":"Georgios N. Antonoglou, Spyridon N. Papageorgiou, Ana Carrillo de Albornoz, Michael Payer, Andreas Stavropoulos","doi":"10.1111/jcpe.70021","DOIUrl":"10.1111/jcpe.70021","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To assess the potential benefit of using adjunct systemic antibiotics in surgical peri-implantitis treatment.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>Six databases were searched (December 2024) for randomised/non-randomised clinical studies. After duplicate study selection, data extraction and risk-of-bias assessment, random-effects meta-analyses of odds ratios (ORs) or mean differences (MDs) and their 95% confidence intervals (CIs) were performed, followed by the analysis of certainty of evidence.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Seven studies (three randomised and four non-randomised, comprising 595 patients and 1388 implants) were included. Systemic antibiotics were associated with greater short-term treatment success (<i>n</i> = 5; OR = 2.33; 95% CI: 1.29–4.21), bone gain (<i>n</i> = 4; MD = 0.37 mm; 95% CI: –0.68 to –0.07), increased bone level stability (<i>n</i> = 3; OR = 2.73; 95% CI: 1.50–4.99), reduced bleeding on probing (<i>n</i> = 6; OR = 0.49; 95% CI: 0.31–0.78), reduced suppuration on probing (<i>n</i> = 3; OR = 0.33; 95% CI: 0.18–0.61) and increased gingival recession (<i>n</i> = 3; MD = 0.18 mm; 95% CI: 0–0.36 mm) (<i>p</i> < 0.05). Systemic antibiotics seem to benefit only implants with modified surfaces (ORs: modified 4.10 vs. turned 0.79), and event that, without long-term benefits (≥ 3 years). Finally, one trial found that antibiotics probably increased diarrhoea risk.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Evidence from randomised/non-randomised studies seems to indicate that systemic antibiotics benefit surgical peri-implantitis treatment, in the short term (1–2 years), especially for implants with a modified surface, while data on adverse effects is scarce. No substantial long-term benefits are seen (≥ 3 years). Uncertainty still exists regarding the potential benefit of systemic antibiotics as adjunct to surgical management of peri-implantitis.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"52 12","pages":"1746-1759"},"PeriodicalIF":6.8,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jcpe.70021","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144915364","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}
In 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)?
Methods
Five 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.
Results
Thirteen 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; n = 170; weighted mean difference (WMD) = 0.78 mm; p = 0.01) and probing pocket depth (PPD; three studies; n = 170; WMD = 1.02 mm; p = 0.04) following periodontitis treatment in studies.
Conclusion
PSRD 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.
{"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":"10.1111/jcpe.70022","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background and Objective</h3>\u0000 \u0000 <p>In 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)?</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Five 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.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Thirteen 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; <i>n</i> = 170; weighted mean difference (WMD) = 0.78 mm; <i>p</i> = 0.01) and probing pocket depth (PPD; three studies; <i>n</i> = 170; WMD = 1.02 mm; <i>p</i> = 0.04) following periodontitis treatment in studies.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>PSRD 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.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"52 12","pages":"1760-1778"},"PeriodicalIF":6.8,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jcpe.70022","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":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Joaquin Espinoza-Arrue, Marion Arce, Natalia Endo, Anilei Hoare, Nicolas Dutzan, Loreto Abusleme
Aim
To comprehensively characterise the bacterial microbiome in peri-implant health, peri-implant mucositis and peri-implantitis.
Materials and Methods
A re-analysis of raw microbiome data was performed from 15 studies, which were finally selected based on the availability of 16S rRNA sequencing. Reads were pre-processed using mothur and classified using the HOMD database. A total of 522 samples were analysed to evaluate diversity estimates and bacterial relative abundance, identifying discriminant features via LEfSe, while predictions of functional potential were obtained using PICRUSt2. Bacterial co-occurrence networks were constructed, and dysbiosis was measured by employing the subgingival microbiome dysbiosis index.
Results
Peri-implantitis showed higher bacterial diversity compared to health and greater microbial richness than peri-mucositis. Each clinical condition displayed a distinct community structure and bacterial co-occurrence networks. The representative species in peri-implant health were Rothia aeria , R. dentocariosa and Veillonella parvula_dispar. Peri-mucositis is characterised by Leptotrichia hongkongensis , L. wadei and Fusobacterium nucleatum subsp. polymorphum, while peri-implantitis is defined by Porphyromonas gingivalis , F. nucleatum subsp. vincentii and Tannerella forsythia . Peri-implantitis exhibited enrichment in predicted microbial pathogenesis pathways and greater bacterial dysbiosis.
Conclusions
These results provide deeper insights into the peri-implant microbiome, identifying key bacterial species, functional processes and interactions that may be crucial to inflammation and destruction during peri-implant diseases.
{"title":"Profiling the Bacterial Microbiome Across Peri-Implant Conditions","authors":"Joaquin Espinoza-Arrue, Marion Arce, Natalia Endo, Anilei Hoare, Nicolas Dutzan, Loreto Abusleme","doi":"10.1111/jcpe.70024","DOIUrl":"10.1111/jcpe.70024","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To comprehensively characterise the bacterial microbiome in peri-implant health, peri-implant mucositis and peri-implantitis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>A re-analysis of raw microbiome data was performed from 15 studies, which were finally selected based on the availability of 16S rRNA sequencing. Reads were pre-processed using mothur and classified using the HOMD database. A total of 522 samples were analysed to evaluate diversity estimates and bacterial relative abundance, identifying discriminant features via LEfSe, while predictions of functional potential were obtained using PICRUSt2. Bacterial co-occurrence networks were constructed, and dysbiosis was measured by employing the subgingival microbiome dysbiosis index.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Peri-implantitis showed higher bacterial diversity compared to health and greater microbial richness than peri-mucositis. Each clinical condition displayed a distinct community structure and bacterial co-occurrence networks. The representative species in peri-implant health were \u0000 <i>Rothia aeria</i>\u0000 , \u0000 <i>R. dentocariosa</i>\u0000 and <i>Veillonella parvula_dispar</i>. Peri-mucositis is characterised by \u0000 <i>Leptotrichia hongkongensis</i>\u0000 , \u0000 <i>L. wadei</i>\u0000 and \u0000 <i>Fusobacterium nucleatum</i>\u0000 subsp. <i>polymorphum</i>, while peri-implantitis is defined by \u0000 <i>Porphyromonas gingivalis</i>\u0000 , \u0000 <i>F. nucleatum</i>\u0000 subsp. <i>vincentii</i> and <i>Tannerella forsythia\u0000 </i>. Peri-implantitis exhibited enrichment in predicted microbial pathogenesis pathways and greater bacterial dysbiosis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>These results provide deeper insights into the peri-implant microbiome, identifying key bacterial species, functional processes and interactions that may be crucial to inflammation and destruction during peri-implant diseases.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"52 12","pages":"1662-1672"},"PeriodicalIF":6.8,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144905848","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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