脱分离离离子化质谱法 (DSI-MS) 用于COVID-19的快速分析
Yiran Wang1,2, Wenbo Ma3, Yijiao Qu1,2
1Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China.
Analytical chemistry
|May 2, 2024
概括
这项研究引入了一种快速的3分钟尿液测试,用于检测COVID-19使用质谱法. 机器学习验证了其在根据代谢概况识别COVID-19患者的准确性.
科学领域:
- 生物化学 生物化学
- 医学诊断 医学诊断 医学诊断
- 计算生物学 计算生物学
背景情况:
- 随着COVID-19的流行,全球健康面临着重大挑战,需要快速检测方法.
- 了解COVID-19的疾病机制对于有效管理至关重要.
研究的目的:
- 开发和验证一种使用尿液代谢学检测COVID-19的快速查方法.
- 为了确定COVID-19患者改变的关键代谢途径.
主要方法:
- 使用脱吸分离离离子 (DSI) 与质谱相结合,用于尿样分析.
- 分析了COVID-19患者,健康对照组和其他肺炎患者的代谢概况.
- 应用机器学习算法以根据已识别的代谢物区分COVID-19病例.
主要成果:
- 在COVID-19患者中确定了不同的尿液代谢概况.
- 氨基酸代谢成为主要受影响的途径.
- 机器学习模型在将COVID-19与健康受试者区分时获得了高精度 (AUC=0.932).
结论:
- 通过DSI质谱的尿代谢学提供了COVID-19的快速 (3分钟) 查方法.
- 这种方法有助于了解COVID-19的病理生理学,并有助于快速识别患者.
- 这些发现支持代谢学和机器学习在传染病诊断中的潜力.
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