The unique metabolic and lipid profiles of patients with severe COVID-19 compared to severe community-acquired pneumonia: a potential prognostic and therapeutic target.
Elsa D Ibáñez-Prada, Jose L Guerrero, Ingrid G Bustos, Lizeth León, Yuli V Fuentes, Mary Santamaría-Torres, Juan M Restrepo-Martínez, Cristian C Serrano-Mayorga, Lina Mendez, Salome Gomez-Duque, Carlos A Santacruz, Andrew Conway-Morris, Ignacio Martín-Loeches, Norberto Gonzalez-Juarbe, Mónica P Cala, Luis Felipe Reyes
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引用次数: 0
Abstract
Background: Compare the changes and differences in metabolome and lipidome profiles among severe COVID-19 and CAP patients with ARF to identify biomarkers that could be used for personalized diagnosis, prognosis, and treatment.
Research design and methods: Plasma samples were taken at hospital admission (baseline) and on the 5th day of hospitalization (follow-up) and examined by RP-LC-QTOF-MS and HILIC-LC-QTOF-MS.
Results: 127 patients, 17 with CAP and 110 with COVID-19, were included. The analysis revealed 87 altered metabolites, suggesting changes in the metabolism of arachidonic acid, glycerolipids, glycerophospholipids, linoleic acid, pyruvate, glycolysis, among others. Most of these metabolites are involved in inflammatory, hypoxic, and thrombotic processes. At baseline, the greatest differences were found in phosphatidylcholine (PC) 31:4 (p < 0.001), phosphoserine (PS) 34:3 (p < 0.001), and phosphatidylcholine (PC) 36:5 (p < 0.001), all of which were notably decreased in COVID-19 patients. At follow-up, the most dysregulated metabolites were monomethyl-phosphatidylethanolamine (PE-Nme) 40:5 (p < 0.001) and phosphatidylcholine (PC) 38:4 (p < 0.001).
Conclusions: Metabolic and lipidic alterations suggest inhibition of innate anti-inflammatory and anti-thrombotic mechanisms in COVID-19 patients, which might lead to increased viral proliferation, uncontrolled inflammation, and thrombi formation. Results provide novel targets for predictive biomarkers against CAP and COVID-19.
研究背景比较重症COVID-19和CAP ARF患者代谢组和脂质组谱的变化和差异,以确定可用于个性化诊断、预后和治疗的生物标志物:在入院时(基线)和住院第5天(随访)采集血浆样本,并通过RP-LC-QTOF-MS和HILIC-LC-QTOF-MS进行检测:结果:共纳入了 127 例患者,其中 17 例为 CAP 患者,110 例为 COVID-19 患者。分析结果显示,有 87 种代谢物发生了变化,表明花生四烯酸、甘油三酯、甘油磷脂、亚油酸、丙酮酸、糖酵解等的代谢发生了变化。这些代谢物大多参与炎症、缺氧和血栓形成过程。基线时,磷脂酰胆碱(PC)31:4 的差异最大(p p p p p p 结论):代谢和脂质改变表明,COVID-19 患者的先天抗炎和抗血栓机制受到抑制,这可能会导致病毒增殖、炎症失控和血栓形成。研究结果为CAP和COVID-19的预测性生物标志物提供了新的靶点:试验注册:不适用。