The trans-omics landscape of COVID-19.
Peng WuDongsheng ChenWencheng DingPing WuHongyan HouYong BaiYuwen ZhouKezhen LiShunian XiangPanhong LiuJia JuEnsong GuoJia LiuBin YangJunpeng FanLiang HeZiyong SunLing FengJian WangTangchun WuHao WangJin ChengHui XingYifan MengYongsheng LiYuanliang ZhangHongbo LuoGang XieXianmei LanYe TaoJiafeng LiHao YuanKang HuangWan SunXiaobo QianZhichao LiMingxi HuangPeiwen DingHaoyu WangJiaying QiuFeiyue WangShiyou WangJiacheng ZhuXiangning DingChaochao ChaiLangchao LiangXiaoling WangLihua LuoYuzhe SunYing YangZhenkun ZhuangTao LiLei TianShaoqiao ZhangLinnan ZhuAshley ChangLei ChenYiquan WuXiaoyan MaFang ChenYan RenXue LiuSiqi LiuJian WangHuanming YangLin WangChaoyang SunDing MaXin JinGang ChenPublished in: Nature communications (2021)
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.
Keyphrases
- coronavirus disease
- sars cov
- single cell
- end stage renal disease
- respiratory syndrome coronavirus
- chronic kidney disease
- peripheral blood
- ejection fraction
- global health
- public health
- emergency department
- prognostic factors
- healthcare
- nitric oxide
- ms ms
- oxidative stress
- risk assessment
- electronic health record
- patient reported outcomes
- high resolution
- atomic force microscopy
- copy number
- patient reported