Quantitative LC-MS study of compounds found predictive of COVID-19 severity and outcome.

Quantitative LC-MS study of compounds found predictive of COVID-19 severity and outcome.
复制标题

DOI:
10.1007/s11306-023-02048-0
复制
发表时间:
2023-10-18
期刊:
Metabolomics : Official journal of the Metabolomic Society
影响因子:
--
通讯作者:
--
中科院分区:
其他
文献类型:
--
作者:

文献摘要

相似文献

自2019年12月SARS-CoV-2大流行开始以来,多项代谢组学研究提出了感染严重程度和结局的预测生物标志物。虽然出现了一些趋势,但当涉及到新患者时,这些发现仍然是无形的和没有信息的。在这项研究中,我们准确地定量了患者血清中被发现预测严重程度和结果的化合物的子集。采用有针对性的LC-MS方法对46例正常对照和95例急性新冠肺炎患者的代谢产物进行定量分析。这些化合物包括色氨酸及其降解产物犬尿氨酸和犬尿酸(反映免疫反应),丁基肉碱及其异构体(反映能量代谢),最后是脱氧胞苷类似物3‘,4’-二氢-3‘-脱氧胞苷(反映宿主病毒防御反应)。我们随后根据疾病严重程度和结果检查了这些标记物相对于对照组患者水平的变化。最后,我们展示了犬尿酸/色氨酸比率在严重程度和结果预测方面的附加值,并强调了DDHC的病毒检测潜力。网上版载有补充材料,可在10.1007/s11306-023-02048-0查阅。
Since the beginning of the SARS-CoV-2 pandemic in December 2019 multiple metabolomics studies have proposed predictive biomarkers of infection severity and outcome. Whilst some trends have emerged, the findings remain intangible and uninformative when it comes to new patients. In this study, we accurately quantitate a subset of compounds in patient serum that were found predictive of severity and outcome. A targeted LC–MS method was used in 46 control and 95 acute COVID-19 patient samples to quantitate the selected metabolites. These compounds included tryptophan and its degradation products kynurenine and kynurenic acid (reflective of immune response), butyrylcarnitine and its isomer (reflective of energy metabolism) and finally 3′,4′-didehydro-3′-deoxycytidine, a deoxycytidine analogue, (reflective of host viral defence response). We subsequently examine changes in those markers by disease severity and outcome relative to those of control patients’ levels. Finally, we demonstrate the added value of the kynurenic acid/tryptophan ratio for severity and outcome prediction and highlight the viral detection potential of ddhC. The online version contains supplementary material available at 10.1007/s11306-023-02048-0.