Division of Infection and Global Health, School of Medicine, University of St Andrews, Oxford, UK.
Department of Mathematical Sciences, Centre for Mathematical Biology, University of Bath, Bath, UK.
Sci Rep. 2022 Nov 12;12(1):19393. doi: 10.1038/s41598-022-22671-6.
Understanding the response of bacteria to environmental stress is hampered by the relative insensitivity of methods to detect growth. This means studies of antibiotic resistance and other physiological methods often take 24 h or longer. We developed and tested a scattered light and detection system (SLIC) to address this challenge, establishing the limit of detection, and time to positive detection of the growth of small inocula. We compared the light-scattering of bacteria grown in varying high and low nutrient liquid medium and the growth dynamics of two closely related organisms. Scattering data was modelled using Gompertz and Broken Stick equations. Bacteria were also exposed meropenem, gentamicin and cefoxitin at a range of concentrations and light scattering of the liquid culture was captured in real-time. We established the limit of detection for SLIC to be between 10 and 100 cfu mL in a volume of 1-2 mL. Quantitative measurement of the different nutrient effects on bacteria were obtained in less than four hours and it was possible to distinguish differences in the growth dynamics of Klebsiella pneumoniae 1705 possessing the Bla betalactamase vs. strain 1706 very rapidly. There was a dose dependent difference in the speed of action of each antibiotic tested at supra-MIC concentrations. The lethal effect of gentamicin and lytic effect of meropenem, and slow bactericidal effect of cefoxitin were demonstrated in real time. Significantly, strains that were sensitive to antibiotics could be identified in seconds. This research demonstrates the critical importance of improving the sensitivity of bacterial detection. This results in more rapid assessment of susceptibility and the ability to capture a wealth of data on the growth dynamics of bacteria. The rapid rate at which killing occurs at supra-MIC concentrations, an important finding that needs to be incorporated into pharmacokinetic and pharmacodynamic models. Importantly, enhanced sensitivity of bacterial detection opens the possibility of susceptibility results being reportable clinically in a few minutes, as we have demonstrated.
了解细菌对环境压力的反应受到检测生长相对不敏感的阻碍。这意味着抗生素耐药性和其他生理方法的研究通常需要 24 小时或更长时间。我们开发并测试了一种散射光和检测系统(SLIC)来解决这一挑战,确定了小接种量生长的检测限和阳性检测时间。我们比较了在不同高营养和低营养液体培养基中生长的细菌的散射光,并比较了两种密切相关的生物的生长动态。使用 Gompertz 和 Broken Stick 方程对散射数据进行建模。还将美罗培南、庆大霉素和头孢西丁暴露于一系列浓度下,实时捕获液体培养物的光散射。我们确定 SLIC 的检测限为 1-2 毫升体积中 10 到 100cfu/ml。不到四个小时即可获得不同营养物质对细菌的定量影响,并且可以快速区分具有 Bla 内酰胺酶的肺炎克雷伯菌 1705 菌株和 1706 菌株的生长动态差异。在高于 MIC 的浓度下,每种抗生素的作用速度都有剂量依赖性差异。实时证明了庆大霉素的杀菌作用、美罗培南的溶菌作用和头孢西丁的缓慢杀菌作用。重要的是,可以在几秒钟内识别出对抗生素敏感的菌株。这项研究表明,提高细菌检测的灵敏度至关重要。这可以更快速地评估药敏性,并能够捕获大量关于细菌生长动态的数据。在高于 MIC 的浓度下快速杀灭的重要发现需要纳入药代动力学和药效动力学模型。重要的是,细菌检测灵敏度的提高使得药敏结果能够在几分钟内临床报告成为可能,正如我们所证明的那样。