Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.
Graduate Institute of Clinical Dentistry, School of Dentistry, National Taiwan University, Taipei, Taiwan.
J Formos Med Assoc. 2018 Sep;117(9):841-848. doi: 10.1016/j.jfma.2017.10.004. Epub 2017 Nov 9.
BACKGROUND/PURPOSE: This study aimed at screening the diagnostic potential of salivary biomarkers and pairing them to establish a prediction model with higher accuracy in diagnosing periodontitis in the Taiwanese population.
Fifty-seven participants were divided into a non-periodontitis group and a periodontitis group. Salivary biomarkers CRP, IL-6, IL-8, IL-1β, IL-1ra, lactoferrin, MMP-8, MMP-9, PDGF-BB, TNF-α, and VEGF, were analyzed. The potential and reliability of the biomarkers for diagnosing periodontitis were analyzed dichotomously. The correlation of individual biomarkers with periodontitis was assessed using the Spearman rank correlation coefficient with logistic regression. The combinational prediction model was evaluated using the area under the receiver operating characteristic curve (AUC).
Regarding individual biomarkers, IL-1β and MMP-9 levels were significantly higher, and TNF-α was significantly lower in the periodontitis group. IL-1β, MMP-8, and MMP-9 exhibited a greater odds ratio with statistical significance in the dichotomous table. The combination of three biomarkers yielded AUCs of 0.821-0.853, and the combination of IL-1β, IL-1ra, and MMP-9 exhibited the highest AUC (0.853), with high sensitivity (73.3%) and specificity (88.9%).
Regarding individual biomarkers, IL-1β, MMP-8, and MMP-9 showed potential for identifying patients with periodontitis. The combination of IL-1β, IL-1ra, and MMP-9 might be feasible for developing a future point-of-care device for diagnosing periodontitis.
背景/目的：本研究旨在筛选唾液生物标志物的诊断潜力，并将其配对，以建立一个在台湾人群中诊断牙周炎的准确性更高的预测模型。
将 57 名参与者分为非牙周炎组和牙周炎组。分析唾液生物标志物 CRP、IL-6、IL-8、IL-1β、IL-1ra、乳铁蛋白、MMP-8、MMP-9、PDGF-BB、TNF-α和 VEGF。分析生物标志物诊断牙周炎的潜在性和可靠性。使用逻辑回归对个体生物标志物与牙周炎的相关性进行 Spearman 秩相关系数评估。使用受试者工作特征曲线（AUC）下面积评估组合预测模型。
在个体生物标志物方面，牙周炎组的 IL-1β和 MMP-9 水平显著升高，TNF-α水平显著降低。IL-1β、MMP-8 和 MMP-9 在二项表中具有更大的比值比，具有统计学意义。三种生物标志物的组合 AUC 为 0.821-0.853，IL-1β、IL-1ra 和 MMP-9 的组合 AUC 最高（0.853），具有较高的灵敏度（73.3%）和特异性（88.9%）。
在个体生物标志物方面，IL-1β、MMP-8 和 MMP-9 显示出识别牙周炎患者的潜力。IL-1β、IL-1ra 和 MMP-9 的组合可能适用于开发未来用于诊断牙周炎的即时护理设备。
