对化合物的定量LC-MS研究发现可以预测COVID-19的严重程度和结果
Ivayla Roberts1, Marina Wright Muelas2, Joseph M Taylor3
1Department of Biochemistry and Systems Biology, Centre for Metabolomics Research (CMR), Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK. Ivayla.Roberts@liverpool.ac.uk.
Metabolomics : Official journal of the Metabolomic Society
|October 18, 2023
概括
这项研究量化了COVID-19患者的关键代谢物,以预测疾病严重程度. 氨酸/氨酸的比率显示出预测结果和检测病毒的希望.
科学领域:
- 生物化学 生物化学
- 传染性疾病 传染性疾病
- 代谢学 代谢学 代谢学
背景情况:
- 自2019年以来,代谢学研究一直在寻找COVID-19严重程度的生物标志物.
- 关于预测生物标志物的先前发现对于新患者来说在很大程度上没有信息.
研究的目的:
- 准确量化以前被确定为预测COVID-19严重程度和结果的特定血清代谢物.
- 评估这些代谢物在预测疾病进展和病毒存在方面的有用性.
主要方法:
- 使用了有针对性的液体染色体质谱法 (LC-MS).
- 量化代谢物包括托,金氨酸,金氨酸,丁甲氨酸和3',4'-二甲-3'-二氧化丁 (ddhC).
- 对46个控制和95个急性COVID-19患者样本进行了分析.
主要成果:
- 对量化代谢物的变化进行了检查,与疾病严重程度和结果相关.
- 青酸/氨酸比率在预测严重程度和结果方面具有附加价值.
- 3',4'-二氧化-3'-脱氧化丁 (ddhC) 显示出病毒检测的潜力.
结论:
- 基努伦酸/酸比率是COVID-19严重程度和患者结果的有价值的预测指标.
- 代谢物分析,特别是ddhC,在SARS-CoV-2感染中提供了病毒检测的潜力.
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