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
DOIAbstract
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 ...
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