A Saliva Diagnostic Model for Predicting Risk Levels of Infectious Diseases

用于预测传染病风险水平的唾液诊断模型

• 批准号: 7323802
• 负责人: PAUL C DENNY
• 金额: $ 19.15万
• 依托单位: PROACTIVE ORAL SOLUTIONS, INC.
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-28 至 2009-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7323802
• 关键词: Affinity; Algorithms; Benchmarking; Blood typing procedure; Cataloging; Catalogs; Child; Clinical; Communicable Diseases; Dental caries; Diagnostic; Disease; Disease susceptibility; Dose; Dot Immunoblotting; Drug abuse; Environment; Feasibility Studies; Gastric ulcer; Genetic; Genomics; Glycoproteins; Goals; Grant; Health; Human; Imagination; Immunity; Individual; Infection; Influenza; Invasive; Lectin; Life; Ligands; Linear Regressions; Measures; Modeling; Monitor; Oligosaccharides; Oral cavity; Otitis Media; Outcome; Pattern; Pharmaceutical Preparations; Phase; Phase I Clinical Trials; Predisposition; Prevention; Prevention strategy; Preventive; Process; Production; Public Health; Recording of previous events; Recruitment Activity; Relative (related person); Rest; Risk; Saliva; Sampling; Series; Severity of illness; Small Business Technology Transfer Research; Study models; System; Technology; Testing; Time; Tissues; Tooth structure; Translating; United States Food and Drug Administration; Vaccines; base; blood group; concept; cost effectiveness; dosage; experience; genetic disorder diagnosis; improved; pathogen; practical application; programs; relating to nervous system; saliva diagnostic; success; technology development; young adult

DESCRIPTION (provided by applicant): An ability to identify an individual's inherent susceptibility to a particular disease holds great promise for global health. Targeting of susceptible individuals ultimately leverages the impact of specific preventive measures beyond their production levels and can vastly improve the cost effectiveness of the preventive treatments themselves. We have developed a saliva-based technology that has the capacity to assess an individual's genetic-based signature oligosaccharides with relative ease. The patterns of the genetic-based oligosaccharides potentially predispose the subject to the attachment and subsequent infection by various pathogens. The model that led to development of this technology is a test that can quantify susceptibility to Dental caries, an infectious disease. This technology was developed as part of a STTR grant from NIH/NIDCR. The test can forecast in young adults, the severity of the disease to ¿1 cavity and/or filling with >95% confidence. When applied to children, it is predictive and focuses on groups of teeth at risk. This paves the way to targeted preventive strategies. Expanding the potential application to other infectious diseases requires little imagination since the environment and mechanisms within the oral cavity are remarkably similar to other tissue systems that are also at risk for infections. Furthermore, saliva contains most of an individual's genetically expressed catalog of oligosaccharides, including the oligosaccharide-based blood types. We believe that saliva can provide a window into the question of why some people get very ill with an infectious disease, others only modestly so, and yet others, not at all. The proposed study of three infectious diseases known to involve an oligosaccharide-based host-pathogen interaction explores the possibility that saliva contains the appropriate oligosaccharide information. The three diseases are otitis media, gastric ulcers, and influenza Type B. These diseases share fundamental attachment and infection mechanisms with Dental caries; yet, the three diseases are also different enough to offer the opportunity to broaden the conceptual base for the core technology. The goal of this application is to provide subjects and technology that could provide a clear demonstration that saliva contains the predictors of susceptibility to infectious diseases with venues that may be remote from the oral cavity.

描述(由申请人提供)：识别个人对特定疾病的固有易感性的能力对全球健康具有很大的希望。以易感人群为目标最终利用具体预防措施的影响，超出其生产水平，并可极大地提高预防治疗本身的成本效益。我们已经开发出一种基于唾液的技术，能够相对容易地评估个人基于遗传的签名低聚糖。以遗传为基础的寡糖的模式可能使受试者容易受到各种病原体的附着和随后的感染。导致这项技术发展的模型是一种可以量化龋齿易感性的测试，龋齿是一种传染病。这项技术是作为NIH/NIDCR的STTR赠款的一部分开发的。这项测试可以在年轻人中预测疾病的严重程度，以95%的信心预测到空洞和/或充填。当应用于儿童时，它具有预测性，并专注于处于危险中的牙齿群体。这为制定有针对性的预防战略铺平了道路。将潜在的应用扩展到其他传染病上不需要什么想象力，因为口腔内的环境和机制与其他组织系统非常相似，其他组织系统也有感染的风险。此外，唾液包含了个人基因表达的大部分低聚糖目录，包括基于低聚糖的血型。我们认为，唾液可以提供一个窗口，让我们了解为什么有些人患上了传染病，有些人病得很重，有些人病得很轻，还有一些人根本就没有。这项拟议的研究涉及三种已知的传染病，涉及基于寡糖的宿主和病原体的相互作用，该研究探索了唾液含有适当的寡糖信息的可能性。这三种疾病是中耳炎、胃溃疡和B型流感。这些疾病与龋齿具有共同的基本附着和感染机制；然而，这三种疾病也足够不同，为核心技术提供了拓宽概念基础的机会。这项应用的目标是提供受试者和技术，这些对象和技术可以清楚地证明唾液含有传染病易感性的预测因素，地点可能远离口腔。