中国科学院遗传与发育生物学研究所税光厚、国家感染性疾病临床医学研究中心王福生、Ji-Yuan Zhang等研究人员，合作利用组学系统揭示了COVID-19发病过程中的代谢失调。相关论文于2020年6月24日在线发表于国际学术期刊《细胞—代谢》。

Title: Omics-driven systems interrogation of metabolic dysregulation in COVID-19 pathogenesis.

Author: Jin-Wen Song, Sin Man Lam, Xing Fan, Wen-Jing Cao, Si-Yu Wang, He Tian, Gek Huey Chua, Chao Zhang, Fan-Ping Meng, Zhe Xu, Jun-Liang Fu, Lei Huang, Peng Xia, Tao Yang, Shaohua Zhang, Bowen Li, Tian-Jun Jiang, Raoxu Wang, Zehua Wang, Ming Shi, Ji-Yuan Zhang, Fu-Sheng Wang, Guanghou Shui

Issue&Volume: 2020-06-24

Abstract: 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 analyse 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 gangliosides (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.

DOI: 10.1016/j.cmet.2020.06.016

Source: https://www.cell.com/cell-metabolism/fulltext/S1550-4131(20)30317-X