Rössler Titus, Berezhnoy Georgy, Singh Yogesh, Cannet Claire, Reinsperger Tony, Schäfer Hartmut, Spraul Manfred, Kneilling Manfred, Merle Uta, Trautwein Christoph
Werner Siemens Imaging Center, Department for Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tübingen, 72076 Tübingen, Germany.
Institute of Medical Genetics & Applied Genomics, University Hospital Tübingen, 72076 Tübingen, Germany.
Metabolites. 2022 Dec 16;12(12):1277. doi: 10.3390/metabo12121277.
The complex manifestations of COVID-19 are still not fully decoded on the molecular level. We combined quantitative the nuclear magnetic resonance (NMR) spectroscopy serum analysis of metabolites, lipoproteins and inflammation markers with clinical parameters and a targeted cytokine panel to characterize COVID-19 in a large (534 patient samples, 305 controls) outpatient cohort of recently tested PCR-positive patients. The COVID-19 cohort consisted of patients who were predominantly in the initial phase of the disease and mostly exhibited a milder disease course. Concerning the metabolic profiles of SARS-CoV-2-infected patients, we identified markers of oxidative stress and a severe dysregulation of energy metabolism. NMR markers, such as phenylalanine, inflammatory glycoproteins (Glyc) and their ratio with the previously reported supramolecular phospholipid composite (Glyc/SPC), showed a predictive power comparable to laboratory parameters such as C-reactive protein (CRP) or ferritin. We demonstrated interfaces between the metabolism and the immune system, e.g., we could trace an interleukin (IL-6)-induced transformation of a high-density lipoprotein (HDL) to a pro-inflammatory actor. Finally, we showed that metadata such as age, sex and constitution (e.g., body mass index, BMI) need to be considered when exploring new biomarkers and that adding NMR parameters to existing diagnoses expands the diagnostic toolbox for patient stratification and personalized medicine.
新冠病毒病(COVID-19)的复杂表现仍未在分子水平上得到充分解读。我们将代谢物、脂蛋白和炎症标志物的定量核磁共振(NMR)光谱血清分析与临床参数以及靶向细胞因子检测相结合,以对一个大型(534例患者样本,305例对照)的近期经聚合酶链反应(PCR)检测呈阳性的门诊患者队列中的COVID-19进行特征分析。COVID-19队列中的患者主要处于疾病的初始阶段,且大多表现出病情较轻的病程。关于感染严重急性呼吸综合征冠状病毒2(SARS-CoV-2)患者的代谢谱,我们识别出了氧化应激标志物以及能量代谢的严重失调。NMR标志物,如苯丙氨酸、炎症糖蛋白(Glyc)及其与先前报道的超分子磷脂复合物的比值(Glyc/SPC),显示出与C反应蛋白(CRP)或铁蛋白等实验室参数相当的预测能力。我们展示了代谢与免疫系统之间的关联,例如,我们能够追踪到白细胞介素6(IL-6)诱导高密度脂蛋白(HDL)转变为促炎因子的过程。最后,我们表明在探索新的生物标志物时需要考虑年龄、性别和体质(如体重指数,BMI)等元数据,并且将NMR参数添加到现有诊断中可扩展用于患者分层和个性化医疗的诊断工具箱。