The trans-omics landscape of COVID-19

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; Qiu, Jiaying; Wang, Feiyue; Wang, Shiyou; Zhu, Jiacheng; Ding, Xiangning; Chai, Chaochao; Liang, Langchao; Wang, Xiaoling; Luo, Lihua; Sun, Yuzhe; Yang, Ying; Zhuang, Zhenkun; Li, Tao; Tian, Lei; Zhang, Shaoqiao; Zhu, Linnan; Chang, Ashley; Chen, Lei; Wu, Yiquan; Ma, Xiaoyan; Chen, Fang; Ren, Yan; Xu, Xun; Liu, Siqi; Wang, Jian; Yang, Huanming; Wang, Lin; Sun, Chaoyang; Ma, Ding; Jin, Xin; Chen, Gang

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.