Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, 2333 CC Leiden, The Netherlands.
Tasmanian Independent Metabolomics and Analytical Chemistry Solutions (TIMACS), Hobart, TAS 7008, Australia.
Biomolecules. 2024 Mar 1;14(3):296. doi: 10.3390/biom14030296.
The severity of COVID-19 is linked to an imbalanced immune response. The dysregulated metabolism of small molecules and bioactive lipids has also been associated with disease severity. To promote understanding of the disease biochemistry and provide targets for intervention, we applied a range of LC-MS platforms to analyze over 100 plasma samples from patients with varying COVID-19 severity and with detailed clinical information on inflammatory responses (>30 immune markers). This is the third publication in a series, and it reports the results of comprehensive lipidome profiling using targeted LC-MS/MS. We identified 1076 lipid features across 25 subclasses, including glycerophospholipids, sterols, glycerolipids, and sphingolipids, among which 531 lipid features were dramatically changed in the plasma of intensive care unit (ICU) patients compared to patients in the ward. Patients in the ICU showed 1.3-57-fold increases in ceramides, (lyso-)glycerophospholipids, diglycerides, triglycerides, and plasmagen phosphoethanolamines, and 1.3-2-fold lower levels of a cyclic lysophosphatidic acid, sphingosine-1-phosphates, sphingomyelins, arachidonic acid-containing phospholipids, lactosylceramide, and cholesterol esters compared to patients in the ward. Specifically, phosphatidylinositols (PIs) showed strong fatty acid saturation-dependent behavior, with saturated fatty acid (SFA)- and monosaturated fatty acid (MUFA)-derived PI decreasing and polystaturated (PUFA)-derived PI increasing. We also found ~4000 significant Spearman correlations between lipids and multiple clinical markers of immune response with |R| ≥ 0.35 and FDR corrected Q < 0.05. Except for lysophosphatidic acid, lysophospholipids were positively associated with the CD4 fraction of T cells, and the cytokines IL-8 and IL-18. In contrast, sphingosine-1-phosphates were negatively correlated with innate immune markers such as CRP and IL-6. Further indications of metabolic changes in moderate COVID-19 disease were demonstrated in recovering ward patients compared to those at the start of hospitalization, where 99 lipid species were altered (6 increased by 30-62%; 93 decreased by 1.3-2.8-fold). Overall, these findings support and expand on early reports that dysregulated lipid metabolism is involved in COVID-19.
COVID-19 的严重程度与免疫反应失衡有关。小分子和生物活性脂质的代谢失调也与疾病严重程度有关。为了促进对疾病生物化学的理解并提供干预靶点,我们应用了一系列 LC-MS 平台来分析来自不同 COVID-19 严重程度的 100 多个血浆样本,并对炎症反应有详细的临床信息(>30 个免疫标志物)。这是该系列的第三篇出版物,它报告了使用靶向 LC-MS/MS 进行综合脂质组学分析的结果。我们在 25 个亚类中鉴定了 1076 个脂质特征,包括甘油磷脂、固醇、甘油酯和鞘脂,其中 ICU 患者的血浆中有 531 个脂质特征与病房患者有显著差异。与病房患者相比,ICU 患者的神经酰胺、(溶血)甘油磷脂、二甘油酯、甘油三酯和血浆磷酸乙醇胺增加了 1.3-57 倍,而环状溶血磷脂酸、鞘氨醇-1-磷酸、神经鞘磷脂、花生四烯酸磷脂、乳糖基神经酰胺和胆固醇酯的水平降低了 1.3-2 倍。具体来说,磷脂酰肌醇 (PI) 表现出强烈的脂肪酸饱和度依赖性行为,饱和脂肪酸 (SFA) 和单不饱和脂肪酸 (MUFA) 衍生的 PI 减少,多不饱和脂肪酸 (PUFA) 衍生的 PI 增加。我们还发现脂质与免疫反应的多个临床标志物之间存在约 4000 个显著的 Spearman 相关性,|R|≥0.35,FDR 校正的 Q<0.05。除溶血磷脂酸外,溶血磷脂与 T 细胞的 CD4 分数以及细胞因子 IL-8 和 IL-18 呈正相关。相比之下,鞘氨醇-1-磷酸与 CRP 和 IL-6 等先天免疫标志物呈负相关。与住院开始时相比,在康复病房患者中发现了中度 COVID-19 疾病中代谢变化的进一步迹象,其中有 99 种脂质发生了变化(增加 30-62%;93 种降低了 1.3-2.8 倍)。总体而言,这些发现支持并扩展了早期报告,即脂质代谢失调与 COVID-19 有关。