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首页> 外文期刊>Scientific reports. >Cytokine Thresholds in Gingival Crevicular Fluid with Potential Diagnosis of Chronic Periodontitis Differentiating by Smoking Status
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Cytokine Thresholds in Gingival Crevicular Fluid with Potential Diagnosis of Chronic Periodontitis Differentiating by Smoking Status

机译：牙龈沟槽中的细胞因子阈值，患慢性牙周炎潜在诊断逐渐通过吸烟状态区分

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The objective of the present study was to determine cytokine thresholds derived from predictive models for the diagnosis of chronic periodontitis, differentiating by smoking status. Seventy-five periodontally healthy controls and 75 subjects affected by chronic periodontitis were recruited. Sixteen mediators were measured in gingival crevicular fluid (GCF) using multiplexed bead immunoassays. The models were obtained using binary logistic regression, distinguishing between non-smokers and smokers. The area under the curve (AUC) and numerous classification measures were obtained. Model curves were constructed graphically and the cytokine thresholds calculated for the values of maximum accuracy (ACC). There were three cytokine-based models and three cytokine ratio-based models, which presented with a bias-corrected AUC??0.91 and??0.83, respectively. These models were (cytokine thresholds in pg/ml for the median ACC using bootstrapping for smokers and non-smokers): IL1alpha (46099 and 65644); IL1beta (4732 and 5827); IL17A (11.03 and 17.13); IL1alpha/IL2 (4210 and 7118); IL1beta/IL2 (260 and 628); and IL17A/IL2 (0.810 and 1.919). IL1alpha, IL1beta and IL17A, and their ratios with IL2, are excellent diagnostic biomarkers in GCF for distinguishing periodontitis patients from periodontally healthy individuals. Cytokine thresholds in GCF with diagnostic potential are defined, showing that smokers have lower threshold values than non-smokers.
机译：本研究的目的是确定源自预测模型的细胞因子阈值，用于诊断慢性牙周炎，通过吸烟状态区分。招募了七十五个牙周健康的对照和75名受慢性牙周炎的受试者。使用多路复用的珠免疫测定在牙龈沟槽（GCF）中测量十六介子。使用二元逻辑回归获得的模型，区分非吸烟者和吸烟者。获得曲线（AUC）下的区域和许多分类措施。模型曲线以图形方式构建，并且计算为最大精度（ACC）的值计算的细胞因子阈值。存在三种基于细胞因子的模型和三种细胞因子比基模型，其呈偏置校正的AUC？> 0.91和？>？0.83。这些模型是使用吸烟者和非吸烟者使用自动启动和非吸烟者的中位数的pg / ml中的细胞因子阈值）：IL1Alpha（46099和65644）; il1beta（4732和5827）; IL17A（11.03和17.13）; IL1Alpha / IL2（4210和7118）; IL1BETA / IL2（260和628）;和IL17A / IL2（0.810和1.919）。 IL1Alpha，IL1beta和IL17a及其与IL2的比率是GCF中的优秀诊断生物标志物，用于区分牙周炎患者从牙周健康的个体。定义了GCF中的细胞因子阈值，定义了诊断潜力，显示吸烟者的阈值比非吸烟者较低。

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