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  • The trans-omics landscape of COVID-19 #MMPMID34315889
  • Wu P; Chen D; Ding W; Wu P; Hou H; Bai Y; Zhou Y; Li K; Xiang S; Liu P; Ju J; Guo E; Liu J; Yang B; Fan J; He L; Sun Z; Feng L; Wang J; Wu T; Wang H; Cheng J; Xing H; Meng Y; Li Y; Zhang Y; Luo H; Xie G; Lan X; Tao Y; Li J; Yuan H; Huang K; Sun W; Qian X; Li Z; Huang M; Ding P; Wang H; Qiu J; Wang F; Wang S; Zhu J; Ding X; Chai C; Liang L; Wang X; Luo L; Sun Y; Yang Y; Zhuang Z; Li T; Tian L; Zhang S; Zhu L; Chang A; Chen L; Wu Y; Ma X; Chen F; Ren Y; Xu X; Liu S; Wang J; Yang H; Wang L; Sun C; Ma D; Jin X; Chen G
  • Nat Commun 2021[Jul]; 12 (1): 4543 PMID34315889show ga
  • 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/*genetics/*metabolism[MESH]
  • |Critical Illness[MESH]
  • |Genomics/methods[MESH]
  • |Humans[MESH]
  • |Lipidomics/methods[MESH]
  • |Metabolomics/methods[MESH]
  • |Neutrophils/metabolism[MESH]
  • |Transcriptome/genetics[MESH]

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  • suck abstract from ncbi

    4543 1.12 2021