Identification of pathogen and host-response markers correlated with periodontal disease.
Identification of pathogen and host-response markers correlated with periodontal disease.
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DOI：
10.1902/jop.2009.080480
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发表时间：
2009-03
影响因子：
4.3
通讯作者：
Giannobile WV
中科院分区：
文献类型：
--
作者：
Ramseier CA;Kinney JS;Herr AE;Braun T;Sugai JV;Shelburne CA;Rayburn LA;Tran HM;Singh AK;Giannobile WV
牙周炎是成年人牙齿脱落的主要原因，与心血管疾病和中风等全身性疾病有关。快速护理点（POC）椅子旁诊断的发展有可能早期发现牙周感染和进展，以确定早期疾病并降低卫生保健费用。然而，有效诊断的验证需要识别和验证与疾病进展相关的生物标志物。本临床研究旨在确定宿主和微生物来源的生物标志物从整个唾液和菌斑生物膜中识别牙周病状态的能力。100名受试者被平等地招募到健康/牙龈炎组和牙周炎组。收集所有受试者的全唾液，并使用抗体阵列分析多种促炎细胞因子和骨吸收/转换标志物的水平。唾液生物标志物数据与通过定量聚合酶链反应（qPCR）测量的综合临床、放射学和微生物斑块生物膜水平相关，用于牙周病鉴定模型的生成。晚期牙周炎患者基质金属蛋白酶(MMP)-8和-9水平显著升高，随机森林重要性评分分别为7.1和5.1。受试者工作特征曲线的生成表明，唾液生物标志物和病原体生物膜值的排列增加了疾病类别的预测。唾液生物标志物（尤其是MMP-8和9和骨保护素）与红色复合体厌氧牙周病原体（如牙龈卟啉单胞菌或齿密螺旋体）的多种组合提供了对牙周病类别的高度准确预测。唾液MMP-8和牙牙霉生物膜水平升高在预测牙周病严重程度方面显示出强大的组合特征（曲线下面积= 0.88；优势比= 24.6；95%可信区间：5.2至116.5）。使用qPCR和敏感的免疫测定，我们鉴定了宿主和细菌来源的与牙周病相关的生物标志物。这种方法为发现生物标志物特征提供了巨大的潜力，有助于开发口腔和全身疾病的快速POC椅侧诊断。目前正在进行研究，将这种方法应用于疾病活动的纵向预测。
Periodontitis is the major cause of tooth loss in adults and is linked to systemic illnesses, such as cardiovascular disease and stroke. The development of rapid point-of-care (POC) chair side diagnostics has the potential for the early detection of periodontal infection and progression to identify incipient disease and reduce health care costs. However, validation of effective diagnostics requires the identification and verification of biomarkers correlated with disease progression. This clinical study sought to determine the ability of putative host- and microbially derived biomarkers to identify periodontal disease status from whole saliva and plaque biofilm. One hundred human subjects were equally recruited into a healthy/gingivitis group or a periodontitis population. Whole saliva was collected from all subjects and analyzed using antibody arrays to measure the levels of multiple proinflammatory cytokines and bone resorptive/turnover markers. Salivary biomarker data were correlated to comprehensive clinical, radiographic, and microbial plaque biofilm levels measured by quantitative polymerase chain reaction (qPCR) for the generation of models for periodontal disease identification. Significantly elevated levels of matrix metalloproteinase (MMP)-8 and -9 were found in subjects with advanced periodontitis with Random Forest importance scores of 7.1 and 5.1, respectively. The generation of receiver operating characteristic curves demonstrated that permutations of salivary biomarkers and pathogen biofilm values augmented the prediction of disease category. Multiple combinations of salivary biomarkers (especially MMP-8 and-9 and osteoprotegerin) combined with red-complex anaerobic periodontal pathogens (such as Porphyromonas gingivalis or Treponema denticola) provided highly accurate predictions of periodontal disease category. Elevated salivary MMP-8 and T. denticola biofilm levels displayed robust combinatorial characteristics in predicting periodontal disease severity (area under the curve = 0.88; odds ratio = 24.6; 95% confidence interval: 5.2 to 116.5). Using qPCR and sensitive immunoassays, we identified host- and bacterially derived biomarkers correlated with periodontal disease. This approach offers significant potential for the discovery of biomarker signatures useful in the development of rapid POC chairside diagnostics for oral and systemic diseases. Studies are ongoing to apply this approach to the longitudinal predictions of disease activity.
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DOI：
10.1196/annals.1384.040
发表时间：
2007-01-01
期刊：
ORAL-BASED DIAGNOSTICS
影响因子：
--
作者：
Ligtenberg, Antoon J. M.;de Soet, Johannes J.;Amerongen, Arte v. Nieuw
通讯作者：
Amerongen, Arte v. Nieuw
影响因子：
3.7
作者：
Shelburne CE;Shelburne PS;Dhople VM;Sweier DG;Giannobile WV;Kinney JS;Coulter WA;Mullally BH;Lopatin DE
通讯作者：
Lopatin DE
DOI：
10.1196/annals.1384.028
发表时间：
2007-01-01
期刊：
ORAL-BASED DIAGNOSTICS
影响因子：
--
作者：
Kinney, Janet S.;Ramseier, Christoph A.;Giannobile, William V.
通讯作者：
Giannobile, William V.
影响因子：
7.6
作者：
Bobetsis, Y. A.;Barros, S. P.;Offenbacher, S.
通讯作者：
Offenbacher, S.
影响因子：
3.5
作者：
Mullally, BH;Dace, B;Coulter, WA
通讯作者：
Coulter, WA