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Combined Molecular Gram Typing and High-Resolution Melting Analysis for Rapid Identification of a Syndromic Panel of Bacteria Responsible for Sepsis-Associated Bloodstream Infection

机译:结合分子克键入和高分辨率熔化分析,用于快速鉴定对脓毒症相关血流感染的细菌综合征小组

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摘要

Effective diagnosis and treatment of bloodstream infections are often hampered by a lack of time-critical information from blood cultures. Molecular techniques aimed at the detection of circulating pathogen DNA have the potential to dramatically improve the timeliness of infection diagnosis. Our aim in this study was to establish a rapid, low-cost PCR approach using high-resolution melting analysis to identify a syndromic panel of 21 pathogens responsible for most bloodstream bacterial infections encountered in critical care environments. A broad-range, real-time PCR technique that combines primers for molecular Gram classification and high-resolution melting analysis in a single run was established. The differentiation of bacterial species was achieved using a multiparameter, decision-tree approach that was based on Gram type, grouping according to melting temperature, and sequential comparisons of melting profiles against multiple reference organisms. A preliminary validation study was undertaken by blinded analysis of 53 consecutive bloodstream isolates from a clinical microbiology laboratory. Fifty isolates contained organisms that were present in the panel, and 96% of these were identified correctly at the genus or species level. A correct Gram classification was reported for all 53 isolates. This technique shows promise as a cost-effective tool for the timely identification of bloodstream pathogens, allowing clinicians to make informed decisions on appropriate antibiotic therapies at an earlier stage. © 2012 American Society for Investigative Pathology and the Association for Molecular Pathology.
机译:由于缺乏血液文化的时间关键信息,血流感染的有效诊断和治疗通常会受到阻碍。旨在检测循环病原体DNA的分子技术具有显着改善感染诊断的时间性。我们在本研究中的目的是使用高分辨率熔化分析建立一种快速,低成本的PCR方法,以识别21种病原体的综合组,负责在关键护理环境中遇到的大多数血流细菌感染。建立了将用于单次运行中的分子克分类和高分辨率熔化分析结合的底漆的宽范围的实时PCR技术。使用基于革克型的多级计,决策树方法来实现细菌物种的分化,根据熔化温度分组,以及对多参考生物的熔化谱的顺序比较。通过从临床微生物实验室的53个连续血流分离物的盲目分析进行了初步验证研究。五十个分离株含有面板中存在的生物,其中96%在属或物种水平上正确鉴定出来。报告所有53个分离株报告了正确的克分类。该技术显示了承诺作为及时鉴定血流病原体的经济效益,允许临床医生在早期阶段对适当的抗生素疗法做出明智的决定。 ©2012美国调查病理学协会和分子病理学协会。

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