Quantification of Host Markers in GCF Using CBIB

使用 CBIB 对 GCF 中的宿主标记进行量化

• 批准号: 7036069
• 负责人: RICARDO P TELES
• 金额: $ 8.04万
• 依托单位: ADA FORSYTH INSTITUTE, INC.
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-08-01 至 2008-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7036069
• 关键词: DNA; biomarker; clinical research; fluid

DESCRIPTION (provided by applicant): Despite advances in our knowledge of the causes and risk factors associated with periodontitis, there are no signs of a decline in its prevalence. Indeed, longer retention of teeth, coupled with an aging population might lead to future increases in the number of subjects affected by periodontal destruction. The severe limitations of the present clinical methods of diagnosis, result in an inability to distinguish subjects and sites at risk for periodontal disease initiation and progression. Thus, patients are often inappropriately treated. Analyses of biochemical markers of periodontal disease in GCF samples may overcome such limitations and provide clinicians with diagnostic and prognostic biomarkers of disease. The goal of the present investigation is to provide clinicians with a discriminatory and reliable analysis to help to diagnose disease status in individual subjects and sites. Specific Aim 1 will optimize and validate the checkerboard immunoblotting (CBIB) technique to quantify multiple components of the GCF, in a large number of samples. The parallel examination of several biomarkers in a large number of samples could result in a test with more significant diagnostic value. Moreover, the ability to investigate several molecules at once would allow inferences on the mechanisms of modulation of the immune response and tissue destruction by these mediators. Once a sensitive assay has been optimized, a cross-sectional pilot study will be performed as a first step in selecting possible biomarkers of disease progression. In Specific Aim 2, GCF samples will be obtained from 30 periodontally healthy and 30 periodontitis subjects in order to assess the diagnostic properties of the different GCF biomarkers in distinguishing health and disease on a subject and site level. Once the best candidate markers have been determined, the use of combinations of markers for improving diagnostic ability will be evaluated. The ultimate goal of this line of research is to conduct longitudinal studies on levels of GCF biomarkers, in order to determine their value as predictors of disease activity, and to better understand their cross-regulation. This goal is in accord with NIDCR's mission to identify markers of disease and elucidate biological events associated with inflammation, with the hope that this knowledge will lead to new therapies in the treatment of periodontal diseases. Moreover, this methodology is at the forefront of new approaches in proteomics, and carries enormous promise for translational applications in the near future.

描述（由申请人提供）：尽管我们对牙周炎的病因和危险因素的了解有所进步，但其患病率没有下降的迹象。事实上，牙齿固位时间的延长，再加上人口老龄化，可能会导致未来受牙周破坏影响的人数增加。目前临床诊断方法的严重局限性导致无法区分牙周病发生和发展的风险对象和部位。因此，患者经常受到不恰当的治疗。GCF样本中牙周病生化标志物的分析可以克服这些局限性，为临床医生提供疾病的诊断和预后生物标志物。本研究的目的是为临床医生提供一个具有歧视性和可靠的分析，以帮助诊断个体受试者和部位的疾病状态。特异性目标1将优化和验证棋盘免疫印迹（CBIB）技术，在大量样品中量化GCF的多种成分。在大量样品中平行检查几种生物标志物可能会产生更有意义的诊断价值的测试。此外，一次研究几个分子的能力将有助于推断这些介质调节免疫反应和组织破坏的机制。一旦一个敏感的检测方法被优化，一个横断面的试点研究将作为选择疾病进展的可能生物标志物的第一步。在具体目标2中，将从30名牙周健康和30名牙周炎受试者中获取GCF样本，以评估不同GCF生物标志物在区分受试者和部位的健康和疾病方面的诊断特性。一旦确定了最佳候选标记物，将对标记物组合的使用进行评估，以提高诊断能力。这一研究方向的最终目标是对GCF生物标志物水平进行纵向研究，以确定它们作为疾病活动预测指标的价值，并更好地了解它们的交叉调控。这一目标与NIDCR的使命一致，即识别疾病标志物并阐明与炎症相关的生物学事件，希望这些知识将导致治疗牙周病的新疗法。此外，这种方法处于蛋白质组学新方法的前沿，在不久的将来具有巨大的翻译应用前景。