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快速细菌识别和抗菌敏感性测试通过5分钟光在现场杂交

Lai Wei¹, Fangchi Shao², Sayuni Dharmasena¹

¹Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.

Small (Weinheim an der Bergstrasse, Germany)

|December 8, 2025

概括

一个新的诊断平台SWIFT-FISH在约5分钟内快速识别细菌,并在一个小时内进行抗生素敏感性测试 (AST). 这项技术增强了感染诊断,并打击了抗生素耐药性.

科学领域:

微生物学微生物学
医学诊断医学诊断医学诊断
生物技术是生物技术.

背景情况:

准确的感染诊断和抗生素敏感性测试 (AST) 对于有效的疾病管理和打击抗生素耐药性至关重要.
传统的细菌识别和AST方法往往耗时,延迟了适当的治疗.
临床微生物学需要快速,灵敏和准确的诊断工具.

研究的目的:

推出SWIFT-FISH,这是一个用于快速细菌识别和AST的新型诊断平台.
在临床微生物学环境中证明SWIFT-FISH的效率和准确性.
突出SWIFT-FISH在改善抗生素管理和患者治疗成果方面的潜力.

主要方法:

开发了SWIFT-FISH (灵敏,无洗,即时,微流体,热透促进的光在现场混合) 使用短暂的热透来快速混合光核酸 (PNA) 探针到细菌16S核糖体RNA (rRNA).
将SWIFT-FISH集成到具有激光诱导光 (LIF) 检测的连续流的微流体平台中,用于在溶液中进行单细胞分析,无需洗步骤.
采用基于机器学习的分析,使用广泛的探针进行可扩展的细菌物种识别和量化细菌繁殖,以快速表型AST.

主要成果:

在大约5分钟内实现了对6种细菌物种的细菌鉴定,精度为99%.
启用了快速表型抗生素敏感性测试 (AST),回收时间约为1小时.
通过无冲洗,连续流量检测,证明了增强的灵敏度和减少的背景噪声.

结论:

SWIFT-FISH是一种简单,快速,灵敏和多功能诊断技术,用于细菌识别和AST.
该平台显著加速了传统的FISH工作流程,为临床微生物学提供了显著的改进.
SWIFT-FISH具有显著的潜力,可以增强临床决策,改善抗生素管理,并打击抗生素耐药性.

关键词:

对抗微生物的敏感性测试.细菌鉴定细菌的鉴定光在现场混合化光在现场混合化激光诱导的光是一种激光诱导的光.机器学习辅助诊断机器学习辅助诊断快速诊断快速诊断快速诊断快速诊断

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