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整合MALDI-TOF质谱与机器学习技术,快速查食品传播细菌病原体的抗菌耐药性

Maureen Feucherolles¹

¹Molecular and Thermal Analysis Platform, Luxembourg Institute of Science and Technology, Belvaux, Luxembourg. maureen.feucherolles@list.lu.

Methods in molecular biology (Clifton, N.J.)

|September 5, 2024

概括

飞行质谱的矩阵辅助激光脱吸/电离时间 (MALDI-TOF MS) 可以快速选食物传播病原体中的抗菌素耐药性 (AMR). 本研究详细介绍了一种使用MALDI-TOF MS和机器学习来检测Campylobacter物种中的AMR的工作流.

科学领域:

微生物学微生物学
分析化学分析化学
计算生物学计算生物学

背景情况:

飞行质谱的矩阵辅助激光脱吸/电离时间 (MALDI-TOF MS) 是微生物识别的标准.
它在抗菌素耐药性 (AMR) 检测中的应用正在出现,特别是机器学习.
食物传播的病原体对公共健康构成重大风险,需要快速诊断.

研究的目的:

用 MALDI-TOF MS. 描述一种常规的工作流程,用于快速查食物传播病原体中的AMR.
评估MALDI-TOF MS与机器学习相结合的AMR检测潜力.
使用坎皮洛巴克特物种作为这种抗菌耐药性查方法的模型生物.

主要方法:

使用标准的 MALDI-TOF MS 工作流程进行微生物识别.
实施机器学习算法来分析MALDI-TOF MS数据用于AMR预测.
专注于坎皮洛巴克特物种作为代表性食品传染病原体.

主要成果:

证明了使用MALDI-TOF MS在食品传播病原体中进行AMR查的可行性.
展示了机器学习的整合,以提高预测性能.
建立了适用于Campylobacter spp. 的工作流.

结论:

MALDI-TOF MS与机器学习相结合,为临床和食品安全实验室的AMR快速查提供了一个有前途的途径.
这种方法有可能减少与传统抗菌素耐药性测试相关的时间和成本.
进一步的研究可以将这种方法扩展到更广泛的病原体和耐药机制.

关键词:

抗菌药物反症 (AMR) 是一种抗微生物查抗微生物查这是坎比洛巴克特菌.诊断诊断诊断诊断马尔迪-托夫 (MALDI-TOF) 是一个国家元首.机器学习机器学习质谱测量质量谱测量

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