Asthana Vishwaratn, Nieves Erika Martínez, Bugga Pallavi, Smith Clara, Dunn Tim, Narayanasamy Satish, Dickson Robert P, VanEpps J Scott
Division of Hospital Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Department of Emergency Medicine-Adult, University of Michigan, Ann Arbor, Michigan, USA.
J Infect Dis. 2025 Jun 2;231(5):1155-1164. doi: 10.1093/infdis/jiae545.
The indiscriminate administration of broad-spectrum antibiotics is a primary contributor to the increasing prevalence of antibiotic resistance. Unfortunately, culture, the gold standard for bacterial identification is a time intensive process. Due to this extended diagnostic period, broad-spectrum antibiotics are generally prescribed to prevent poor outcomes. To overcome the deficits of culture-based methods, we have developed a rapid universal bacterial identification system. The platform uses a unique universal polymerase chain reaction primer set that targets the internal transcribed spacer regions between conserved bacterial genes, creating a distinguishable amplicon signature for every bacterial species. Bioinformatic simulation demonstrates that nearly every bacteria in a set of 45 commonly isolated pathogenic species can be uniquely identified using this approach. We experimentally confirmed these predictions on a representative set of pathogenic bacterial species. We further showed that the system can determine the corresponding concentration of each pathogen. Finally, we validated performance in clinical urinary tract infection samples.
广谱抗生素的滥用是抗生素耐药性日益普遍的主要原因。不幸的是,作为细菌鉴定金标准的培养法是一个耗时的过程。由于诊断周期较长,通常会开具广谱抗生素以防止出现不良后果。为了克服基于培养方法的不足,我们开发了一种快速通用的细菌鉴定系统。该平台使用独特的通用聚合酶链反应引物组,靶向保守细菌基因之间的内部转录间隔区,为每个细菌物种创建可区分的扩增子特征。生物信息学模拟表明,使用这种方法可以唯一鉴定一组45种常见分离致病物种中的几乎每一种细菌。我们通过实验在一组代表性致病细菌物种上证实了这些预测。我们进一步表明,该系统可以确定每种病原体的相应浓度。最后,我们在临床尿路感染样本中验证了该系统的性能。