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Background: To investigate the relation of established glucose and lipid metabolism indexes and blood inflammatory biomarkers with severe periodontitis in systemically healthy patients.Methods: Systemically healthy stage III/IV periodontitis patients (case group) (n = 397), stage II periodontitis patients (n = 36), and periodontally healthy subjects (control group) (n = 285) were recruited. A periodontal examination, complete blood cell examination, and blood biochemical examination were conducted for all participants. Full-mouth apical films were taken for the case group. Both the case and control groups were divided by age into younger (≤35 years) and elder subjects. Multiple logistic regression analysis and Pearson correlation analysis were conducted. A logistic least absolute shrinkage and selection operator (LASSO) model was constructed for the younger subgroups.Results: Various glucose and lipid metabolism indexes and blood inflammatory biomarkers significantly differed between severe periodontitis patients and healthy controls, and the younger subgroups presented a greater degree of statistical differences than the elder ones. More pairs of periodontal parameters and blood indexes with significantly fair linear correlations were found in the younger patient subgroup. A logistic LASSO regression model containing eight blood indexes to assess a severe periodontitis outcome in younger subgroups showed satisfactory predictive ability.Conclusion: The present study revealed various glucose and lipid metabolism indexes and blood inflammatory biomarkers significantly differ between severe periodontitis patients and healthy controls, especially in the younger subgroups. A LASSO regression model could be a viable option to assess severe periodontitis risk for younger patients.Summary: The present study revealed significant differences in glucose and lipid metabolism indexes and blood inflammatory biomarkers between patients with severe periodontitis and periodontally healthy individuals, especially in younger subjects. This article is protected by copyright. All rights reserved. [ABSTRACT FROM AUTHOR]

Background: Host inflammatory mediators are associated with tissue destruction in patients suffering from generalized aggressive periodontitis (GAgP). However, the correlations between neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) with GAgP remain unknown.Methods: Periodontal clinical parameters, including probing depth (PD), bleeding index (BI) and attachment loss (AL) were collected from patients with GAgP and healthy controls. Complete blood cells analyses were obtained; further, NLR and PLR were calculated using neutrophil, platelet, and lymphocyte counts. Smooth curve fitting and segmented regression models were used to analyze the roles and predictive value of NLR with GAgP.Results: In total, 505 participants from a Chinese population were recruited, including 133 healthy controls and 372 patients with GAgP. Periodontal clinical parameters, NLR, and neutrophil counts were significantly higher in patients with GAgP than the control group. Moreover, NLR was positively correlated with the risk and clinical parameters of GAgP. When NLR < 3, the risk of GAgP increased by 20.6% for each 0.1 increase in NLR, reaching saturation when NLR > 3. An increase in NLR equivalent to 1 was associated with an increase in PD, BI, and AL by 0.41 mm, 0.26, and 0.57 mm, respectively. Notably, PLR did not show obvious correlations with GAgP.Conclusions: NLR but not PLR may be a potential marker to identify GAgP in healthy individuals, particularly in a Chinese population. [ABSTRACT FROM AUTHOR]

Aim: To investigate the dynamic changes of peri‐implant microbiome in patients with a history of periodontitis and to construct a microbial prediction model. Materials and methods: The prospective study was performed at one month (T1), one year (T2) and two years (T3) after restoration. Clinical examinations [probing depth (PD), bleeding on probing (BOP), suppuration (SUP)], radiographic examinations and sample collection were conducted at three timepoints. Peri‐implant sulcular fluid (PISF) was collected and analysed by 16S rRNA gene sequencing. Generalized linear mixed model (GLMM) was used to identify differences. Results: Totally, 168 subjects were assessed for eligibility. Twenty‐two patients were recruited in the longitudinal study. Eventually, 67 PISF samples from 24 implants of 12 patients were collected and analysed. Peri‐implant microbiome showed increasing diversity and complexity over time. Disease‐associated genera Porphyromonas, Tannerella, Treponema and Prevotella dramatically increased from T1 to T3. The prediction model for clinical suppuration at T1 showed a high accuracy of 90%. Conclusion: The dysbiosis of peri‐implant microbiome increased with time during the two‐year observation in patients with a history of periodontitis. Genera of Porphyromonas, Tannerella, Treponema and Prevotella were biomarkers of peri‐implant mucositis. Microbiota at the early stage could predict subsequent microbial dysbiosis and clinical suppuration. [ABSTRACT FROM AUTHOR]

Background: Association between BMI and periodontitis were controversial. A study indicated that not only overweight or obesity but also underweight was correlated with generalized aggressive periodontitis (GAgP). However, the exact relationship between BMI and GAgP and the optimal BMI value for the lowest risk of GAgP remain unknown.Objective: To explore the exact relationship between BMI and GAgP risk, periodontal status and WBC (white blood cell) count and find the optimal BMI value associated with the lowest risk, periodontal status and lowest WBC of GAgP in Chinese.Methods: 300 GAgP patients and 133 healthy controls were recruited. Height and weight of participants were accurately measured to calculate BMI value. Clinical periodontal parameters, including probing depth (PD), attachment loss (AL), and bleeding index (BI) were recorded. WBC was obtained from routine blood examination. Smooth curve fitting and segmented regression model were used to analyze the threshold effect between BMI and variables. The shape of the curve was used to describe the relationships between BMI and GAgP.Results: U-shaped relationships between BMI and risk of GAgP, AL, and WBC count in GAgP patients were observed. The optimal value of BMI for the lowest risk of GAgP and lowest WBC count was 22 kg/m2 . The risk of GAgP increased by 39% in patients per unit increase of BMI when BMI ranged from 22 to 28 kg/m2 (adjusted OR = 1.39, 95% CI: 1.17, 1.67) and increased by 18% per unit decrease of BMI when BMI ranged from 22 to 18 kg/m2 (adjusted OR = 0.82, 95% CI: 0.69, 0.97). The count of WBC increased by 1.12 × 109 /L in patients per unit increase of BMI when BMI ranged from 22 to 28 kg/m2 (adjusted β = 0.12, 95% CI: 0.01, 0.23) and increased by 0.2 × 109 /L per unit decrease of BMI when BMI ranged from 22 to18 kg/m2 (adjusted β = -0.2, 95% CI: -0.35, -0.04).Conclusion: U-shaped relationships exist between BMI and risk of GAgP, AL, and WBC count in patients with GAgP among Chinese aged below 36 years old with their BMI range from 18 to 28 kg/m2 ; the optimal BMI value for lowest odds ratio and lowest WBC count of GAgP was 22 kg/m2 . [ABSTRACT FROM AUTHOR]

Background: The microbiologic feature of aggressive periodontitis (AgP) in Chinese patients has not yet been determined. This study aims to investigate the prevalence of eight periodontal microorganisms and the distribution of the Porphyromonas gingivatis fimA genotype in a cohort of Chinese patients with AgP. Methods: Saliva and pooled subgingival plaque samples were collected from 81 patients with AgP (25 with incisor-first molar type and 56 with generalized type [GAgP]) and 34 periodontally healthy controls. Eight periodontal microorganisms, including Aggregatibacter actinomycetem-comitans, P. gingivalis, Tannereita forsythia, Treponema denticola, Campylobacter rectus, Prevoteila intermedia, Pre-votella nigrescens, and Fusobacterium nucleatum were detected in these samples by the polymerase chain reaction (PCR). In addition, the distribution of fimA genotypes was assessed in P. gingivalis-positive individuals by PCR. Results: The prevalence of P. gingivalis, T. forsythia, T. denticola, C. rectus, P. intermedia, F. nucleatum, and A. actinomycetemcomitans in patients with AgP was significantly higher than that in healthy controls. The prevalence of A. actinomycetemcomitans in patients with GAgP was relatively low (30.4%) compared with other pathogens. Results of logistic regression analysis showed that younger patients were more likely to harbor A. actinomycetemcomitans (odds ratio = 2.85). Type II was the most prevalent fimA genotype of P. gingivalis in patients with AgP. Conclusions: P. gingivalis, T. forsythia, T. denticola, C. rectus, P. intermedia, and F. nucleatum were the predominant periodontal pathogens of patients with GAgP in China. Type II of fimA was the most prevalent genotype of P. gingivalis in patients with AgP. The prevalence of A. actinomycetemcomitans in patients with GAgP was relatively low. [ABSTRACT FROM AUTHOR]