King Eshan S, Stacy Anna E, Scott Jacob G
Case Western Reserve University School of Medicine, Cleveland, Ohio, United States of America.
Department of Physics, Case Western Reserve University, Cleveland, Ohio, United States of America.
bioRxiv. 2024 Mar 19:2024.03.08.584154. doi: 10.1101/2024.03.08.584154.
Dose-response curves that describe the relationship between antibiotic dose and growth rate in bacteria are commonly measured with optical density (OD) based assays. While being simple and high-throughput, any dose-dependent cell death dynamics are obscured, as OD assays in batch culture can only quantify a positive net change in cells. Time-kill experiments can be used to quantify cell death rates, but current techniques are extremely resource-intensive and may be biased by residual drug carried over into the quantification assay. Here, we report a novel, fluorescence-based time-kill assay leveraging resazurin as a viable cell count indicator. Our method improves upon previous techniques by greatly reducing the material cost and being robust to residual drug carry-over. We demonstrate our technique by quantifying a dose-response curve in subject to cefotaxime, revealing dose-dependent death rates. We also show that our method is robust to extracellular debris and cell aggregation. Dose-response curves quantified with our method may provide a more accurate description of pathogen response to therapy, paving the way for more accurate integrated pharmacodynamic-pharmacokinetic studies.
描述抗生素剂量与细菌生长速率之间关系的剂量-反应曲线通常采用基于光密度(OD)的检测方法来测量。虽然这种方法简单且高通量,但任何剂量依赖性的细胞死亡动态都被掩盖了,因为分批培养中的OD检测只能量化细胞的正净变化。时间-杀菌实验可用于量化细胞死亡率,但目前的技术资源消耗极大,并且可能会受到带入定量检测的残留药物的影响。在此,我们报告了一种基于荧光的新型时间-杀菌检测方法,该方法利用刃天青作为可行的细胞计数指标。我们的方法通过大幅降低材料成本并对残留药物的带入具有鲁棒性,对先前的技术进行了改进。我们通过量化头孢噻肟作用下的剂量-反应曲线来展示我们的技术,揭示剂量依赖性死亡率。我们还表明,我们的方法对细胞外碎片和细胞聚集具有鲁棒性。用我们的方法量化的剂量-反应曲线可能会更准确地描述病原体对治疗的反应,为更准确的整合药效学-药代动力学研究铺平道路。