Kinney Janet S, Morelli Thiago, Oh Min, Braun Thomas M, Ramseier Christoph A, Sugai Jim V, Giannobile William V
Department of Periodontics and Oral Medicine & Michigan Center for Oral Health Research, University of Michigan School of Dentistry, Ann Arbor, MI, USA.
Currently, Department of Periodontology, School of Dentistry, University of North Carolina, Chapel Hill, NC, USA.
J Clin Periodontol. 2014 Feb;41(2):113-120. doi: 10.1111/jcpe.12194. Epub 2013 Dec 12.
Assess the ability of a panel of gingival crevicular fluid (GCF) biomarkers as predictors of periodontal disease progression (PDP).
In this study, 100 individuals participated in a 12-month longitudinal investigation and were categorized into four groups according to their periodontal status. GCF, clinical parameters and saliva were collected bi-monthly. Subgingival plaque and serum were collected bi-annually. For 6 months, no periodontal treatment was provided. At 6 months, patients received periodontal therapy and continued participation from 6 to 12 months. GCF samples were analysed by ELISA for MMP-8, MMP-9, Osteoprotegerin, C-reactive Protein and IL-1β. Differences in median levels of GCF biomarkers were compared between stable and progressing participants using Wilcoxon Rank Sum test (p = 0.05). Clustering algorithm was used to evaluate the ability of oral biomarkers to classify patients as either stable or progressing.
Eighty-three individuals completed the 6-month monitoring phase. With the exception of GCF C-reactive protein, all biomarkers were significantly higher in the PDP group compared to stable patients. Clustering analysis showed highest sensitivity levels when biofilm pathogens and GCF biomarkers were combined with clinical measures, 74% (95% CI = 61, 86).
Signature of GCF fluid-derived biomarkers combined with pathogens and clinical measures provides a sensitive measure for discrimination of PDP (ClinicalTrials.gov NCT00277745).
评估一组龈沟液(GCF)生物标志物作为牙周疾病进展(PDP)预测指标的能力。
在本研究中,100名个体参与了为期12个月的纵向调查,并根据其牙周状况分为四组。每两个月收集一次龈沟液、临床参数和唾液。每半年收集一次龈下菌斑和血清。在6个月内,未提供牙周治疗。在6个月时,患者接受牙周治疗,并继续参与6至12个月的研究。通过酶联免疫吸附测定(ELISA)分析龈沟液样本中的基质金属蛋白酶-8(MMP-8)、基质金属蛋白酶-9(MMP-9)、骨保护素、C反应蛋白和白细胞介素-1β(IL-1β)。使用Wilcoxon秩和检验(p = 0.05)比较稳定组和进展组参与者龈沟液生物标志物中位水平的差异。采用聚类算法评估口腔生物标志物将患者分类为稳定或进展的能力。
83名个体完成了6个月的监测阶段。除龈沟液C反应蛋白外,与稳定患者相比,PDP组中所有生物标志物均显著更高。聚类分析显示,当生物膜病原体和龈沟液生物标志物与临床指标相结合时,敏感性水平最高,为74%(95%置信区间=61, 86)。
龈沟液来源的生物标志物特征与病原体和临床指标相结合,为区分PDP提供了一种敏感的方法(ClinicalTrials.gov NCT00277745)。