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一种用于评估剂量依赖性细胞死亡动力学的低占用空间、基于荧光的细菌时间杀灭试验。

A low-footprint, fluorescence-based bacterial time-kill assay for estimating dose-dependent cell death dynamics.

作者信息

King Eshan S, Stacy Anna E, Scott Jacob G

机构信息

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.

出版信息

bioRxiv. 2024 Mar 19:2024.03.08.584154. doi: 10.1101/2024.03.08.584154.

Abstract

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.

摘要

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03d7/10983867/0f6a1e49cf92/nihpp-2024.03.08.584154v3-f0001.jpg

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