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探索COVID-19患者的唾液脂质谱变化:从质谱分析的见解

Ricardo A Bernardo¹, Jussara V Roque², Charles I de Oliveira Júnior³

¹Instituto de Química, Universidade Federal de Goiás, 74690-900, Goiânia, GO, Brazil; Departamento de Química, Universidade Federal do Paraná, 81531-980, Curitiba, PR, Brazil.

|December 13, 2023

概括

唾液检测COVID-19提供了一个舒适的替代性鼻口腔抽样. 唾液脂质的质谱分析准确地识别了COVID-19,为非侵入性诊断铺平了道路.

科学领域:

生物化学生物化学
分析化学分析化学
医学诊断医学诊断医学诊断

背景情况:

鼻抽样是COVID-19检测的标准,但会引起严重的不适,阻碍了广泛的人口查.
开发非侵入性和准确的诊断方法对于有效的流行病管理和公共卫生至关重要.

研究的目的:

用先进的分析技术研究唾液作为COVID-19诊断的非侵入性样本的潜力.
开发和验证分类模型以区分COVID-19患者和健康个体,基于唾液脂质谱.

主要方法:

使用高分辨率质谱法 (HRMS) 来分析唾液样本中的脂质提取物.
化学测量方法,包括部分最小方程差异分析 (PLS-DA) 与正交信号校正 (OSC) 预处理 (OPSDA),应用于MS数据.
两种数据组织方法进行了比较:经典的MS数据和伪MS图像数据集,用于增强数据解释和分类.

主要成果:

分类模型在区分COVID-19阳性个体与健康对照中表现出高准确度.
伪MS图像数据显著提高了分类性能,简化了复杂质谱数据集的解释.
关键的唾液脂质,包括脂质,脂质,脂质和糖脂质,被确定为COVID-19分类的关键生物标志物.

结论:

使用质谱和化学测量的基于唾液的脂质分析是COVID-19的一个有希望的非侵入性诊断工具.
伪MS图像分析提高了诊断准确性,而经典MS数据有助于识别特定的脂质生物标志物.
这些发现支持开发快速,准确和大量的非侵入性测试,以改善临床诊断和公共卫生监测.

关键词:

在 COVID-19 疫情中,脂质提取提取脂质提取质谱测量质量谱测量在PLS-DA中.伪MS图像伪MS图像

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