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首页> 外文期刊>Journal of Clinical Microbiology >Evaluation of Portability and Cost of a Fluorescent PCR Ribotyping Protocol for Clostridium difficile Epidemiology
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Evaluation of Portability and Cost of a Fluorescent PCR Ribotyping Protocol for Clostridium difficile Epidemiology

机译:难辨梭状芽孢杆菌流行病学的荧光PCR Ribotyping协议的便携性和成本的评估。

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Clostridium difficile is the most commonly identified pathogen among health care-associated infections in the United States. There is a need for accurate and low-cost typing tools that produce comparable data across studies (i.e., portable data) to help characterize isolates during epidemiologic investigations of C. difficile outbreaks and sporadic cases of disease. The most popular C. difficile-typing technique is PCR ribotyping, and we previously developed methods using fluorescent PCR primers and amplicon sizing on a Sanger-style sequencer to generate fluorescent PCR ribotyping data. This technique has been used to characterize tens of thousands of C. difficile isolates from cases of disease. Here, we present validation of a protocol for the cost-effective generation of fluorescent PCR ribotyping data. A key component of this protocol is the ability to accurately identify PCR ribotypes against an online database (http://walklab.rcg.montana.edu) at no cost. We present results from a blinded multicenter study to address data portability across four different laboratories and three different sequencing centers. Our standardized protocol and centralized database for typing of C. difficile pathogens will increase comparability between studies so that important epidemiologic linkages between cases of disease and patterns of emergence can be rapidly identified.
机译:在美国,与卫生保健相关的感染中,艰难梭菌是最常见的病原体。需要精确且低成本的打字工具,以产生跨研究的可比较数据(即,便携式数据),以在艰难梭菌暴发和零星疾病病例的流行病学调查期间帮助鉴定分离株。最受欢迎的艰难梭菌分型技术是PCR核型分析,我们先前开发了使用荧光PCR引物和Sanger型测序仪上的扩增子大小来生成荧光PCR核型分析数据的方法。该技术已被用于从疾病病例中鉴定成千上万的艰难梭菌分离物。在这里,我们提出了一种具有成本效益的荧光PCR核糖分型数据生成协议的验证。该协议的关键组成部分是能够免费针对在线数据库(http://walklab.rcg.montana.edu)准确识别PCR核糖型的能力。我们提出了一项来自盲目的多中心研究的结果,以解决四个不同实验室和三个不同测序中心之间的数据可移植性。我们用于艰难梭菌病原体分型的标准化协议和集中式数据库将提高研究之间的可比性,从而可以快速识别疾病病例与出现模式之间的重要流行病学联系。

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