Critical Care Department, Hospital del Mar, 08003 Barcelona, Spain.
Critical Illness Research Group (GREPAC), Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), 08003 Barcelona, Spain.
Int J Mol Sci. 2021 Apr 30;22(9):4794. doi: 10.3390/ijms22094794.
The clinical evolution of COVID-19 pneumonia is poorly understood. Identifying the metabolic pathways that are altered early with viral infection and their association with disease severity is crucial to understand COVID-19 pathophysiology, and guide clinical decisions. This study aimed at assessing the critical metabolic pathways altered with disease severity in hospitalized COVID-19 patients. Forty-nine hospitalized patients with COVID-19 pneumonia were enrolled in a prospective, observational, single-center study in Barcelona, Spain. Demographic, clinical, and analytical data at admission were registered. Plasma samples were collected within the first 48 h following hospitalization. Patients were stratified based on the severity of their evolution as moderate (N = 13), severe (N = 10), or critical (N = 26). A panel of 221 biomarkers was measured by targeted metabolomics in order to evaluate metabolic changes associated with subsequent disease severity. Our results show that obesity, respiratory rate, blood pressure, and oxygen saturation, as well as some analytical parameters and radiological findings, were all associated with disease severity. Additionally, ceramide metabolism, tryptophan degradation, and reductions in several metabolic reactions involving nicotinamide adenine nucleotide (NAD) at inclusion were significantly associated with respiratory severity and correlated with inflammation. In summary, assessment of the metabolomic profile of COVID-19 patients could assist in disease severity stratification and even in guiding clinical decisions.
COVID-19 肺炎的临床演变尚不清楚。确定病毒感染早期改变的代谢途径及其与疾病严重程度的关系,对于了解 COVID-19 病理生理学和指导临床决策至关重要。本研究旨在评估住院 COVID-19 患者疾病严重程度改变的关键代谢途径。在西班牙巴塞罗那的一项前瞻性、观察性、单中心研究中,纳入了 49 名住院的 COVID-19 肺炎患者。登记了入院时的人口统计学、临床和分析数据。在住院后 48 小时内采集血浆样本。根据病情演变的严重程度将患者分层为中度(N=13)、重度(N=10)或危重症(N=26)。通过靶向代谢组学测量了 221 种生物标志物的谱,以评估与后续疾病严重程度相关的代谢变化。我们的研究结果表明,肥胖、呼吸频率、血压和血氧饱和度以及一些分析参数和影像学发现均与疾病严重程度相关。此外,入院时的神经酰胺代谢、色氨酸降解以及涉及烟酰胺腺嘌呤二核苷酸(NAD)的几种代谢反应的减少与呼吸严重程度显著相关,并与炎症相关。总之,评估 COVID-19 患者的代谢组学特征可能有助于疾病严重程度分层,甚至有助于指导临床决策。