Use of host- and bacteria-derived salivary markers in detection of periodontitis: A cumulative approach
Use of host- and bacteria-derived salivary markers in detection of periodontitis: A cumulative approach
复制标题
DOI：
10.1155/2011/621484
复制
发表时间：
2011-01-01
期刊：
影响因子：
--
通讯作者：
Sorsa, Timo
中科院分区：
文献类型：
--
作者：
Gursoy, Ulvi Kahraman;Kononen, Eija;Sorsa, Timo
在本研究中，我们提出了一种新的诊断方法，使用3种不同的唾液标志物，代表牙周病原体负担，炎症和组织降解，用于检测牙周炎。从165名受试者（84名晚期牙周炎受试者和81名对照者）的唾液标本中获得的牙龈卟啉单胞菌、白细胞介素-1 β和基质金属蛋白酶-8的唾液浓度一起计算以获得累积风险评分（CRS）。在CRS的计算中，将每种标志物的浓度分为三分位数，并通过三分位数值的乘积计算每名受试者的累积分项评分。三个CRS组，表示最低，中等或最高风险，形成了累积子评分。采用Logistic回归分析和ROC曲线分析CRS与牙周炎的关系。结果表明，CRS，从3个唾液生物标志物计算，是与晚期牙周炎更强烈的比任何单独的标志物。CRS为晚期牙周炎风险分类提供了一种新的非侵入性模型，特别适用于牙周检查不可行的大型人群调查。
In the present study, we propose a novel diagnostic approach, using 3 different salivary markers, representing periodontal pathogen burden, inflammation, and tissue degradation, for detecting periodontitis. The salivary concentrations of Porphyromonas gingivalis, interleukin-1 beta, and matrix metalloproteinase-8, available from salivary specimens of 165 subjects (84 subjects with advanced periodontitis and 81 controls), were calculated together to obtain a cumulative risk score (CRS). In the calculation of CRS, the concentrations of each marker were divided into tertiles, and cumulative sub-score per each subject were calculated by the multiplication of the tertile values. Three CRS groups, indicating the lowest, medium, or highest risk, were formed with the cumulative sub-scores. Logistic regression analysis and ROC curves were performed to study the association of CRS with periodontitis. The results indicate that CRS, calculated from the 3 salivary biomarkers, is associated with advanced periodontitis more strongly than any of the markers individually. CRS offers a novel, non-invasive model for advanced periodontitis risk categorization that is especially useful in large population surveys where a periodontal examination is not feasible.