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基于液滴的数字抗生素药敏筛选揭示了同基因细菌群体中单细胞克隆异质性耐药性。

Droplet-based digital antibiotic susceptibility screen reveals single-cell clonal heteroresistance in an isogenic bacterial population.

机构信息

Institute of Physical Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, 01-224, Warsaw, Poland.

Department of Chemistry and Biotechnology, Tallinn University of Technology, Akadeemia tee 15, 12618, Tallinn, Estonia.

出版信息

Sci Rep. 2020 Feb 24;10(1):3282. doi: 10.1038/s41598-020-60381-z.

DOI:10.1038/s41598-020-60381-z
PMID:32094499
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7039976/
Abstract

Since antibiotic resistance is a major threat to global health, recent observations that the traditional test of minimum inhibitory concentration (MIC) is not informative enough to guide effective antibiotic treatment are alarming. Bacterial heteroresistance, in which seemingly susceptible isogenic bacterial populations contain resistant sub-populations, underlies much of this challenge. To close this gap, here we developed a droplet-based digital MIC screen that constitutes a practical analytical platform for quantifying the single-cell distribution of phenotypic responses to antibiotics, as well as for measuring inoculum effect with high accuracy. We found that antibiotic efficacy is determined by the amount of antibiotic used per bacterial colony forming unit (CFU), not by the absolute antibiotic concentration, as shown by the treatment of beta-lactamase-carrying Escherichia coli with cefotaxime. We also noted that cells exhibited a pronounced clustering phenotype when exposed to near-inhibitory amounts of cefotaxime. Overall, our method facilitates research into the interplay between heteroresistance and antibiotic efficacy, as well as research into the origin and stimulation of heterogeneity by exposure to antibiotics. Due to the absolute bacteria quantification in this digital assay, our method provides a platform for developing reference MIC assays that are robust against inoculum-density variations.

摘要

由于抗生素耐药性是对全球健康的主要威胁,最近观察到传统的最小抑菌浓度(MIC)测试不够详细,无法指导有效的抗生素治疗,这令人震惊。细菌异质性耐药性是导致这一挑战的主要原因,在这种耐药性中,看似敏感的同基因细菌群体中含有耐药亚群。为了弥补这一差距,我们开发了一种基于液滴的数字 MIC 筛选方法,该方法构成了一种实用的分析平台,可用于定量测定抗生素药敏反应的单细胞分布,以及高精度测量接种物效应。我们发现,抗生素的疗效取决于每个细菌集落形成单位(CFU)使用的抗生素量,而不是抗生素的绝对浓度,这可以通过用头孢噻肟治疗携带β-内酰胺酶的大肠杆菌来证明。我们还注意到,当细胞暴露于接近抑制浓度的头孢噻肟时,会表现出明显的聚类表型。总的来说,我们的方法促进了对抗生素疗效和异质性之间相互作用的研究,以及对抗生素暴露引起的异质性的起源和刺激的研究。由于该数字测定法中进行了绝对细菌定量,因此我们的方法为开发针对接种密度变化具有稳健性的参考 MIC 测定法提供了一个平台。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bad7/7039976/41d5c9f2fcb5/41598_2020_60381_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bad7/7039976/224e2532dae4/41598_2020_60381_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bad7/7039976/3dc57f7b7074/41598_2020_60381_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bad7/7039976/3b53f9a7c9f9/41598_2020_60381_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bad7/7039976/41d5c9f2fcb5/41598_2020_60381_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bad7/7039976/224e2532dae4/41598_2020_60381_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bad7/7039976/3dc57f7b7074/41598_2020_60381_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bad7/7039976/3b53f9a7c9f9/41598_2020_60381_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bad7/7039976/41d5c9f2fcb5/41598_2020_60381_Fig4_HTML.jpg

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