审问
发病机制
生物
计算生物学
2019-20冠状病毒爆发
生物信息学
医学
疾病
2019年冠状病毒病(COVID-19)
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
病毒学
免疫学
内科学
爆发
传染病(医学专业)
考古
历史
作者
Jin‐Wen Song,Sin Man Lam,Xing Fan,Wen Cao,Si Yu Wang,He Tian,Gek Huey Chua,Chao Zhang,Fan Ping Meng,Zhe Xu,Jun Fu,Lei Huang,Peng Xia,Tao Yang,Shaohua Zhang,Bowen Li,Tian Jiang,Raoxu Wang,Zehua Wang,Ming Shi,Ji Yuan Zhang,Fu Sheng Wang,Guanghou Shui
出处
期刊:Cell Metabolism
[Elsevier]
日期:2020-08-01
卷期号:32 (2): 188-202.e5
被引量:354
标识
DOI:10.1016/j.cmet.2020.06.016
摘要
The coronavirus disease 2019 (COVID-19) pandemic presents an unprecedented threat to global public health. Herein, we utilized a combination of targeted and untargeted tandem mass spectrometry to analyze the plasma lipidome and metabolome in mild, moderate, and severe COVID-19 patients and healthy controls. A panel of 10 plasma metabolites effectively distinguished COVID-19 patients from healthy controls (AUC = 0.975). Plasma lipidome of COVID-19 resembled that of monosialodihexosyl ganglioside (GM3)-enriched exosomes, with enhanced levels of sphingomyelins (SMs) and GM3s, and reduced diacylglycerols (DAGs). Systems evaluation of metabolic dysregulation in COVID-19 was performed using multiscale embedded differential correlation network analyses. Using exosomes isolated from the same cohort, we demonstrated that exosomes of COVID-19 patients with elevating disease severity were increasingly enriched in GM3s. Our work suggests that GM3-enriched exosomes may partake in pathological processes related to COVID-19 pathogenesis and presents the largest repository on the plasma lipidome and metabolome distinct to COVID-19.
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