Department of Chemistry and Physics, Research Centre CIAIMBITAL, University of Almería, Ctra. Sacramento, s/n, 04120, Almería, Spain.
Biosanitary Research Institute of Granada (ibs.GRANADA), 18014, Granada, Spain.
Sci Rep. 2024 Oct 10;14(1):23713. doi: 10.1038/s41598-024-74641-9.
The COVID-19 pandemic remains a significant global health threat, with uncertainties persisting regarding the factors determining whether individuals experience mild symptoms, severe conditions, or succumb to the disease. This study presents an NMR metabolomics-based approach, analysing 80 serum and urine samples from COVID-19 patients (34 intensive care patients and 46 hospitalized patients) and 32 from healthy controls. Our research identifies discriminant metabolites and clinical variables relevant to COVID-19 diagnosis and severity. These discriminant metabolites play a role in specific pathways, mainly "Phenylalanine, tyrosine and tryptophan biosynthesis", "Phenylalanine metabolism", "Glycerolipid metabolism" and "Arginine and proline metabolism". We propose a three-metabolite diagnostic panel-comprising isoleucine, TMAO, and glucose-that effectively discriminates COVID-19 patients from healthy individuals, achieving high efficiency. Furthermore, we found an optimal biomarker panel capable of efficiently classify disease severity considering both clinical characteristics (obesity/overweight, dyslipidemia, and lymphocyte count) together with metabolites content (ethanol, TMAO, tyrosine and betaine).
新冠疫情仍然是一个重大的全球健康威胁，关于决定个体出现轻症、重症或感染疾病的因素仍存在不确定性。本研究提出了一种基于 NMR 代谢组学的方法，分析了 80 名新冠患者（34 名重症监护患者和 46 名住院患者）和 32 名健康对照者的 80 份血清和尿液样本。我们的研究确定了与新冠诊断和严重程度相关的有区别的代谢物和临床变量。这些有区别的代谢物在特定途径中发挥作用，主要是“苯丙氨酸、酪氨酸和色氨酸生物合成”、“苯丙氨酸代谢”、“甘油酯代谢”和“精氨酸和脯氨酸代谢”。我们提出了一个由异亮氨酸、TMAO 和葡萄糖组成的三代谢物诊断面板，可有效区分新冠患者和健康个体，具有高效性。此外，我们发现了一个最佳的生物标志物面板，可同时考虑临床特征（肥胖/超重、血脂异常和淋巴细胞计数）和代谢物含量（乙醇、TMAO、酪氨酸和甜菜碱），有效地对疾病严重程度进行分类。
