Infectious Disease and Microbiome Program, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Infectious Disease and Microbiome Program, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
Antimicrob Agents Chemother. 2021 May 18;65(6). doi: 10.1128/AAC.02296-20.
Current growth-based antibiotic susceptibility testing (AST) is too slow to guide early therapy. We previously developed a diagnostic approach that quantifies antibiotic-induced transcriptional signatures to distinguish susceptible from resistant isolates, providing phenotypic AST 24 to 36 h faster than current methods. Here, we show that 10 transcripts optimized for AST of one fluoroquinolone, aminoglycoside, or beta-lactam reflect susceptibility when the organism is exposed to other members of that class. This finding will streamline development and implementation of this strategy, facilitating efficient antibiotic deployment.
目前基于生长的抗生素药敏试验（AST）太慢，无法指导早期治疗。我们之前开发了一种诊断方法，该方法量化了抗生素诱导的转录特征，以区分敏感和耐药分离株，比目前的方法快 24 到 36 小时提供表型 AST。在这里，我们表明，当生物体暴露于该类别的其他成员时，针对一种氟喹诺酮、氨基糖苷或β-内酰胺的 10 个转录本优化用于 AST 可反映其敏感性。这一发现将简化该策略的开发和实施，促进抗生素的有效部署。
