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基于单个大肠杆菌的流体动力学捕获的多参数抗生素耐药性检测。

Multiparameter antibiotic resistance detection based on hydrodynamic trapping of individual E. coli.

机构信息

Department of Physics, University of York, YO105DD, York, UK.

出版信息

Lab Chip. 2019 Apr 9;19(8):1417-1426. doi: 10.1039/c8lc01397g.

DOI:10.1039/c8lc01397g
PMID:30869093
Abstract

There is an urgent need to develop novel methods for assessing the response of bacteria to antibiotics in a timely manner. Antibiotics are traditionally assessed via their effect on bacteria in a culture medium, which takes 24-48 h and exploits only a single parameter, i.e. growth. Here, we present a multiparameter approach at the single-cell level that takes approximately an hour from spiking the culture to correctly classify susceptible and resistant strains. By hydrodynamically trapping hundreds of bacteria, we simultaneously monitor the evolution of motility and morphology of individual bacteria upon drug administration. We show how this combined detection method provides insights into the activity of antimicrobials at the onset of their action which single parameter and traditional tests cannot offer. Our observations complement the current growth-based methods and highlight the need for future antimicrobial susceptibility tests to take multiple parameters into account.

摘要

目前迫切需要开发新的方法来及时评估细菌对抗生素的反应。传统上,抗生素是通过其在培养基中对细菌的作用来评估的,这需要 24-48 小时,并且仅利用单一参数,即生长。在这里,我们在单细胞水平上提出了一种多参数方法,从向培养物中添加药物到正确分类敏感和耐药菌株,大约需要一个小时。通过流体动力学捕获数百个细菌,我们可以同时监测药物给药后单个细菌的运动和形态的演变。我们展示了这种组合检测方法如何提供对抗生素作用起始时的活性的深入了解,而这是单参数和传统测试无法提供的。我们的观察结果补充了当前基于生长的方法,并强调了未来的抗菌药物敏感性测试需要考虑多个参数。

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