A novel U‐shaped relationship between BMI and risk of generalized aggressive periodontitis in Chinese: A cross‐sectional study

Li, Wenjing; Shi, Dong; Song, Weimin; Xu, Li; Zhang, Li; Feng, Xiaodong; Lu, Ruifang; Wang, Xiane; Meng, Hua

doi:10.1002/jper.18-0064

Cited by 19 publications

(26 citation statements)

References 36 publications

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“…From our previous study, a U–shaped relationship exists between BMI and risk of GAgP and white blood cells (WBC) count. Moreover, WBC counts in patients with GAgP was lowest when the BMI value was 22 kg/m 2 after adjusting for age and gender 24 . However, limited studies report on the effect of BMI on NLR.…”

Section: Discussionmentioning

confidence: 96%

Elevated neutrophil‐to‐lymphocyte ratio but not platelet‐to‐lymphocyte ratio is associated with generalized aggressive periodontitis in a Chinese population

Wang

et al. 2020

Journal of Periodontology

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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.

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Section: Discussionmentioning

confidence: 96%

Elevated neutrophil‐to‐lymphocyte ratio but not platelet‐to‐lymphocyte ratio is associated with generalized aggressive periodontitis in a Chinese population

Wang

et al. 2020

Journal of Periodontology

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“…Some of the major issues associated with PT were the tissue hypoxia, oxidative stress and relative vasospasm which in turn, determines increased coagulation and endothelial injury, damage of vascular endothelial cells, and finally periodontal tissue destruction [ 44 ]. Consequently, some evidence has been suggested that periodontal infection mediated by some pathogens such as A. actinomycetemcomitans may accelerate PT and endothelial damage and inflammatory response orchestrated through oxidative stress pathways [ 45 , 46 ], especially in obese patients [ 47 ]. In this respect, some evidence has shown that the tissue damage associated with PT was due to oxidative stress and, therefore, associated with high levels of nitric oxide (NO) and hs-CRP [ 48 ].…”

Section: Discussionmentioning

confidence: 99%

Association among serum and salivary A. actinomycetemcomitans specific immunoglobulin antibodies and periodontitis

et al. 2020

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Background The aim of this study was to assess the association between serum and salivary Immunoglobulin (Ig) Aggregatibacter actinomycetemcomitans (A. actinomycetemcomitans) specific antibodies in healthy controls (HC) and periodontitis (PT) patients. Furthermore, the objectives were to determine whether PT influenced serum A. actinomycetemcomitans specific antibodies and whether serum or salivary antibodies against A. actinomycetemcomitans IgG were mediated by serum high-sensitivity c-reactive protein (hs-CRP). Methods Fifty-three patients with periodontitis and 48 HC were enrolled in the present study. Patients were regularly examined and characterized by clinical, salivary and blood samples analyses. A. actinomycetemcomitans IgA and IgG antibodies and hs-CRP were evaluated using a commercially available kit. The Spearman Correlation Test and Jonckheere-Terpstra Test were applied in order to assess the interdependence between serum A. actinomycetemcomitans IgG antibodies and clinical periodontal parameters. To evaluate the dependence of the serum and salivary A. actinomycetemcomitans IgG levels from possible confounders, univariate and multivariable linear regression analyses were performed. Results Compared to HC, patients with PT had significantly higher IgA [serum: PT, 1.89 (1.2–2.2) EU vs HC, 1.37 (0.9–1.8) EU (p = 0.022); saliva: PT, 1.67 (1.4–2.1) EU vs HC, 1.42 (0.9–1.6) EU (p = 0.019)] and A. actinomycetemcomitans IgG levels [serum: PT, 2.96 (2.1–3.7) EU vs HC, 2.18 (1.8–2.1) EU (p < 0.001); saliva, PT, 2.19 (1.8–2.5) EU vs HC, 1.84 (1.4–2) EU (p = 0.028)]. In PT patients, serum A. actinomycetemcomitans IgG were associated with a proportional extent of PT and tooth loss (P-trend value< 0.001). The univariate regression analysis demonstrated that PT (p = 0.013) and high hs-CRP (p < 0.001) had a significant negative effect on serum and salivary A. actinomycetemcomitans IgG levels. The multivariate regression analysis showed that PT (p = 0.033), hs-CRP (p = 0.014) and BMI (p = 0.017) were significant negative predictors of serum A. actinomycetemcomitans IgG while hs-CRP (p < 0.001) and BMI (P = 0.025) were significant negative predictors of salivary A. actinomycetemcomitans IgG. Conclusions PT patients presented a significantly higher serum and salivary A. actinomycetemcomitans IgA and IgG compared to HC. There was a significant increase in serum A. actinomycetemcomitans IgG when patients presented a progressive extent of PT. Moreover, PT and hs-CRP were significant negative predictors of increased salivary and serum A. actinomycetemcomitans IgG levels. Trial registration The study was retrospectively registered at clinicaltrials.gov (NCT04417322).

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“…Finally, stepwise multivariate Cox regression analysis was performed to construct a mRNA-derived prognostic model based on the Akaike information criterion (AIC). After calculating the risk score based on the formula of the chosen model, smooth curve fitting was competed to evaluate the relationship between risk score and survival (Li et al, 2019). If a linear relationship between these measures was found, then the cut-off value was set as the median risk score.…”

Section: Methodsmentioning

confidence: 99%

A 3-mRNA-based prognostic signature of survival in oral squamous cell carcinoma

Cao

et al. 2019

PeerJ

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Background Oral squamous cell carcinoma (OSCC) is the most common type of head and neck squamous cell carcinoma with an unsatisfactory prognosis. The aim of this study was to identify potential prognostic mRNA biomarkers of OSCC based on analysis of The Cancer Genome Atlas (TCGA). Methods Expression profiles and clinical data of OSCC patients were collected from TCGA database. Univariate Cox analysis and the least absolute shrinkage and selection operator Cox (LASSO Cox) regression were used to primarily screen prognostic biomarkers. Then multivariate Cox analysis was performed to build a prognostic model based on the selected prognostic mRNAs. Nomograms were generated to predict the individual’s overall survival at 3 and 5 years. The model performance was assessed by the time-dependent receiver operating characteristic (ROC) curve and calibration plot in both training cohort and validation cohort (GSE41613 from NCBI GEO databases). In addition, machine learning was used to assess the importance of risk factors of OSCC. Finally, in order to explore the potential mechanisms of OSCC, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis was completed. Results Three mRNAs (CLEC3B, C6 and CLCN1) were finally identified as a prognostic biomarker pattern. The risk score was imputed as: (−0.38602 × expression level of CLEC3B) + (−0.20632 × expression level of CLCN1) + (0.31541 × expression level of C6). In the TCGA training cohort, the area under the curve (AUC) was 0.705 and 0.711 for 3- and 5-year survival, respectively. In the validation cohort, AUC was 0.718 and 0.717 for 3- and 5-year survival. A satisfactory agreement between predictive values and observation values was demonstrated by the calibration curve in the probabilities of 3- and 5- year survival in both cohorts. Furthermore, machine learning identified the 3-mRNA signature as the most important risk factor to survival of OSCC. Neuroactive ligand-receptor interaction was most enriched mostly in KEGG pathway analysis. Conclusion A 3-mRNA signature (CLEC3B, C6 and CLCN1) successfully predicted the survival of OSCC patients in both training and test cohort. In addition, this signature was an independent and the most important risk factor of OSCC.

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A novel U‐shaped relationship between BMI and risk of generalized aggressive periodontitis in Chinese: A cross‐sectional study

Abstract: 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/m ; the optimal BMI value for lowest odds ratio and lowest WBC count of GAgP was 22 kg/m .

Cited by 19 publications

References 36 publications

Elevated neutrophil‐to‐lymphocyte ratio but not platelet‐to‐lymphocyte ratio is associated with generalized aggressive periodontitis in a Chinese population

Elevated neutrophil‐to‐lymphocyte ratio but not platelet‐to‐lymphocyte ratio is associated with generalized aggressive periodontitis in a Chinese population

Association among serum and salivary A. actinomycetemcomitans specific immunoglobulin antibodies and periodontitis

A 3-mRNA-based prognostic signature of survival in oral squamous cell carcinoma

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