POPULATION-BASED MOLECULAR EPIDEMIOLOGY OF TUBERCULOSIS

基于人群的结核病分子流行病学

• 批准号: 2886840
• 负责人: Philip C Hopewell
• 金额: $ 71.48万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-04-01 至 2001-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2886840
• 关键词: Mycobacterium tuberculosis; bacterial genetics; clinical research; communicable disease control; communicable disease transmission; disease /disorder proneness /risk; genetic markers; genetic strain; genotype; human data; human population study; human subject; longitudinal human study; mathematical model; microorganism culture; model design /development; nucleic acid repetitive sequence; restriction fragment length polymorphism; tuberculosis

DESCRIPTION: (Adapted from the applicant's abstract): This study will utilize population-based molecular epidemiology to identify and evaluate tuberculosis control strategies that are appropriate under different epidemiologic circumstances. In addition, we will test several different methods for genotyping strains of Mycobacterium tuberculosis and will determine the optimum combination of techniques that provide the best balance of sensitivity and specificity for tracing the organism in a population. The specific aims of the project are grouped according to the component of the study to which they relate. Component 1: 1) To use 1S6110-based RFLP pattern analysis and/or combinations of genotyping methods to determine the proportions of new tuberculosis cases that are the result to recently-acquired infection with M. tuberculosis. 2) To define the characteristics of persons who develop tuberculosis from recent infection. 3) To use molecular epidemiologic data to suggest and evaluate specific control interventions. 4) To use local data to construct mathematical models to estimate the effects of new control interventions. 5) To use information from the study sites to develop approaches to the evaluation of candidate tuberculosis vaccines. Taken together this group of aims will serve to provide the epidemiologic basis for tuberculosis control interventions that are specifically targeted to particular epidemiologic circumstances or populations at risk. Component 2: 1) To identify two clonal collections of M. tuberculosis. 2) To use a variety of techniques to genotype the clonal strains. 3) To identify the most parsimonious combination of genotyping markers that can be used to define clonality. 4) To compare the epidemiologic links identified by clonal analysis and by IS6110-based RFLP pattern analysis with the results of intensive epidemiologic investigations. These aims will serve to provide a more accurate and precise means of identifying and tracking strains of M. tuberculosis thereby improving the quality of the information provided by molecular epidemiology. The study is prospective and population-based. Study sites will be San Francisco, Alameda, Contra Costa, and San Mateo counties in the Bay Area and six rural central California counties, Sonoma, Solano, Yolo, Stanislaus, San Joaquin, and Merced. The method of operation will be to obtain M. tuberculosis isolated from all new patients in study areas, perform RFLP pattern analysis on these isolates, identify clusters of cases having the same organism, and perform an extensive detailed interview for cases in clusters and a matched control group to identify epidemiologic connections.

描述：（改编自申请人摘要）：本研究将 利用基于人群的分子流行病学来识别和评估 结核病控制策略，适合不同 流行病学情况。 此外，我们还将测试几种不同的 结核分枝杆菌菌株的基因分型方法 确定技术的最佳组合， 平衡灵敏度和特异性，用于在 人口 该项目的具体目标按以下类别分组： 与之相关的研究内容。 组件1：1）使用 基于1 S6110的RFLP模式分析和/或基因分型方法的组合 以确定新的肺结核病例的比例， 与最近获得的M.结核 2)来定义 最近感染结核病的人的特征。 3)使用分子流行病学数据来建议和评估特定的 控制干预。 4)使用本地数据构造数学 模型来估计新的控制干预措施的效果。 5)使用 研究中心提供的信息，以制定评估 候选结核病疫苗。 这组目标合在一起， 为结核病控制提供流行病学依据 专门针对特定流行病学的干预措施 处于危险中的环境或人群。 第2部分：1）确定两个 M.结核 2)使用各种技术， 对克隆菌株进行基因分型。 3)找出最吝啬的 可用于定义克隆性的基因分型标志物的组合。 四、 比较克隆分析和 基于IS 6110的RFLP模式分析与密集的结果 流行病学调查。 这些目标将有助于提供一个更 准确和精确的手段，识别和跟踪菌株的M。 结核病，从而提高提供的信息的质量 分子流行病学 该研究是前瞻性的，以人群为基础。 研究中心为San弗朗西斯科、阿拉米达、康特拉科斯塔和圣马特奥 湾区的县和加州中部的六个农村县，索诺马， 索拉诺，约洛，斯坦尼斯劳斯，圣华金，和默塞德。 操作方法 将获得M。在研究中从所有新患者中分离出结核病 区域，对这些分离株进行RFLP模式分析， 具有相同微生物的病例，并进行广泛详细的访谈 对于聚集性病例和匹配的对照组， 连接.