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高吞吐量平台技术用于个性化菌体治疗中的快速目标识别

Fereshteh Bayat¹, Arwa Hilal¹, Mathura Thirugnanasampanthar²

¹School of Biomedical Engineering, McMaster University, Hamilton, Ontario, Canada.

Nature communications

|July 11, 2024

概括

一个基于平板电脑的新型平台可以快速选治疗性细菌菌因抗生素耐药性感染. 这项技术提高了菌体的可访问性,并加快了对抗具有挑战性的细菌病原体的有效治疗方法的识别.

科学领域:

微生物学微生物学
生物技术是生物技术.
药物发现药物发现药物发现

背景情况:

菌体越来越多地被批准用于人类治疗抗生素耐药性感染.
大型,分散的菌体生物库需要高效的目标识别技术.
目前用于菌体查的方法可能耗时且资源密集.

研究的目的:

开发一个高通量菌体查平台,快速识别治疗性菌体.
创建一个便携式,保质期稳定的菌体输送系统,以提高可访问性.
为了能够快速检测菌体针对多药耐药细菌.

主要方法:

设计了一个平台,使用单独的,固体的菌体含有片.
在pullulan和trehalose糖矩阵中稳定了纳入的 luciferin和 luciferase.
在检测细菌细胞爆发时利用腺三酸盐 (ATP) 生物发光.
证明了对干燥的耐受性,以提高可运输性.

主要成果:

成功识别了多药耐药性Pseudomonas aeruginosa,Salmonella enterica,大肠杆菌和金黄色葡萄球菌的菌体.
选在30-120分钟内确定目标.
药片配方表现出增强的干燥耐受性.

结论:

开发的平台为高通量菌体查提供了一种变革性的方法.
这项技术显著提高了治疗菌体的可访问性和可用性.
对抗耐药细菌有效的菌体的快速识别是可以实现的.

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