The trans-omics landscape of COVID-19

作者：Wu, Peng; Chen, Dongsheng; Ding, Wencheng; Wu, Ping; Hou, Hongyan; Bai, Yong; Zhou, Yuwen; Li, Kezhen; Xiang, Shunian; Liu, Panhong; Ju, Jia; Guo, Ensong; Liu, Jia; Yang, Bin; Fan, Junpeng; He, Liang; Sun, Ziyong; Feng, Ling; Wang, Jian; Wu, Tangchun; Wang, Hao; Cheng, Jin; Xing, Hui; Meng, Yifan; Li, Yongsheng; Zhang, Yuanliang; Luo, Hongbo; Xie, Gang; Lan, Xianmei; Tao, Ye; Li, Jiafeng; Yuan, Hao; Huang, Kang; Sun, Wan; Qian, Xiaobo; Li, Zhichao; Huang, Mingxi; Ding, Peiwen; Wang, Haoyu

来源：Nature Communications, 2021, 12(1): 4543.

DOI：10.1038/s41467-021-24482-1

• NEUTROPHIL EXTRACELLULAR TRAPS
• POSTTRANSCRIPTIONAL REGULATION
• TRYPTOPHAN CATABOLISM
• VIRAL-INFECTIONS
• READ ALIGNMENT
• IMMUNE CELLS
• R PACKAGE
• VIRUS
• LYSOPHOSPHATIDYLCHOLINE
• INJURY

The outbreak of coronavirus disease 2019 (COVID-19) is a global health emergency. Various omics results have been reported for COVID-19, but the molecular hallmarks of COVID-19, especially in those patients without comorbidities, have not been fully investigated. Here we collect blood samples from 231 COVID-19 patients, prefiltered to exclude those with selected comorbidities, yet with symptoms ranging from asymptomatic to critically ill. Using integrative analysis of genomic, transcriptomic, proteomic, metabolomic and lipidomic profiles, we report a trans-omics landscape for COVID-19. Our analyses find neutrophils heterogeneity between asymptomatic and critically ill patients. Meanwhile, neutrophils over-activation, arginine depletion and tryptophan metabolites accumulation correlate with T cell dysfunction in critical patients. Our multi-omics data and characterization of peripheral blood from COVID-19 patients may thus help provide clues regarding pathophysiology of and potential therapeutic strategies for COVID-19. COVID-19 is a critical public health threat, but molecular characterizations of patients' immunity is still lacking. Here the authors collected blood from patients with various disease severity, and prefiltered to exclude selected comorbidity, to obtain genomic, transcriptomic, proteomic, metabolomic and lipidomic profiles to report a trans-omics landscape.

• 单位
  华中科技大学; 中国科学院研究生院; 深圳华大基因研究院; 中山大学; 海南医学院