The trans-omics landscape of COVID-19
© 2021. The Author(s)..
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.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2021 |
|---|---|
| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:12 |
|---|---|
| Enthalten in: |
Nature communications - 12(2021), 1 vom: 27. Juli, Seite 4543 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Wu, Peng [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
|---|
| Anmerkungen: |
Date Completed 04.08.2021 Date Revised 02.04.2024 published: Electronic Citation Status MEDLINE |
|---|
| doi: |
10.1038/s41467-021-24482-1 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM32860593X |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM32860593X | ||
| 003 | DE-627 | ||
| 005 | 20240402234837.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231225s2021 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1038/s41467-021-24482-1 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1360.xml |
| 035 | |a (DE-627)NLM32860593X | ||
| 035 | |a (NLM)34315889 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Wu, Peng |e verfasserin |4 aut | |
| 245 | 1 | 4 | |a The trans-omics landscape of COVID-19 |
| 264 | 1 | |c 2021 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 04.08.2021 | ||
| 500 | |a Date Revised 02.04.2024 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2021. The Author(s). | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 700 | 1 | |a Chen, Dongsheng |e verfasserin |4 aut | |
| 700 | 1 | |a Ding, Wencheng |e verfasserin |4 aut | |
| 700 | 1 | |a Wu, Ping |e verfasserin |4 aut | |
| 700 | 1 | |a Hou, Hongyan |e verfasserin |4 aut | |
| 700 | 1 | |a Bai, Yong |e verfasserin |4 aut | |
| 700 | 1 | |a Zhou, Yuwen |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Kezhen |e verfasserin |4 aut | |
| 700 | 1 | |a Xiang, Shunian |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Panhong |e verfasserin |4 aut | |
| 700 | 1 | |a Ju, Jia |e verfasserin |4 aut | |
| 700 | 1 | |a Guo, Ensong |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Jia |e verfasserin |4 aut | |
| 700 | 1 | |a Yang, Bin |e verfasserin |4 aut | |
| 700 | 1 | |a Fan, Junpeng |e verfasserin |4 aut | |
| 700 | 1 | |a He, Liang |e verfasserin |4 aut | |
| 700 | 1 | |a Sun, Ziyong |e verfasserin |4 aut | |
| 700 | 1 | |a Feng, Ling |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Jian |e verfasserin |4 aut | |
| 700 | 1 | |a Wu, Tangchun |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Hao |e verfasserin |4 aut | |
| 700 | 1 | |a Cheng, Jin |e verfasserin |4 aut | |
| 700 | 1 | |a Xing, Hui |e verfasserin |4 aut | |
| 700 | 1 | |a Meng, Yifan |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Yongsheng |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Yuanliang |e verfasserin |4 aut | |
| 700 | 1 | |a Luo, Hongbo |e verfasserin |4 aut | |
| 700 | 1 | |a Xie, Gang |e verfasserin |4 aut | |
| 700 | 1 | |a Lan, Xianmei |e verfasserin |4 aut | |
| 700 | 1 | |a Tao, Ye |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Jiafeng |e verfasserin |4 aut | |
| 700 | 1 | |a Yuan, Hao |e verfasserin |4 aut | |
| 700 | 1 | |a Huang, Kang |e verfasserin |4 aut | |
| 700 | 1 | |a Sun, Wan |e verfasserin |4 aut | |
| 700 | 1 | |a Qian, Xiaobo |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Zhichao |e verfasserin |4 aut | |
| 700 | 1 | |a Huang, Mingxi |e verfasserin |4 aut | |
| 700 | 1 | |a Ding, Peiwen |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Haoyu |e verfasserin |4 aut | |
| 700 | 1 | |a Qiu, Jiaying |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Feiyue |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Shiyou |e verfasserin |4 aut | |
| 700 | 1 | |a Zhu, Jiacheng |e verfasserin |4 aut | |
| 700 | 1 | |a Ding, Xiangning |e verfasserin |4 aut | |
| 700 | 1 | |a Chai, Chaochao |e verfasserin |4 aut | |
| 700 | 1 | |a Liang, Langchao |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Xiaoling |e verfasserin |4 aut | |
| 700 | 1 | |a Luo, Lihua |e verfasserin |4 aut | |
| 700 | 1 | |a Sun, Yuzhe |e verfasserin |4 aut | |
| 700 | 1 | |a Yang, Ying |e verfasserin |4 aut | |
| 700 | 1 | |a Zhuang, Zhenkun |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Tao |e verfasserin |4 aut | |
| 700 | 1 | |a Tian, Lei |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Shaoqiao |e verfasserin |4 aut | |
| 700 | 1 | |a Zhu, Linnan |e verfasserin |4 aut | |
| 700 | 1 | |a Chang, Ashley |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Lei |e verfasserin |4 aut | |
| 700 | 1 | |a Wu, Yiquan |e verfasserin |4 aut | |
| 700 | 1 | |a Ma, Xiaoyan |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Fang |e verfasserin |4 aut | |
| 700 | 1 | |a Ren, Yan |e verfasserin |4 aut | |
| 700 | 1 | |a Xu, Xun |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Siqi |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Jian |e verfasserin |4 aut | |
| 700 | 1 | |a Yang, Huanming |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Lin |e verfasserin |4 aut | |
| 700 | 1 | |a Sun, Chaoyang |e verfasserin |4 aut | |
| 700 | 1 | |a Ma, Ding |e verfasserin |4 aut | |
| 700 | 1 | |a Jin, Xin |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Gang |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Nature communications |d 2010 |g 12(2021), 1 vom: 27. Juli, Seite 4543 |w (DE-627)NLM199274525 |x 2041-1723 |7 nnns |
| 773 | 1 | 8 | |g volume:12 |g year:2021 |g number:1 |g day:27 |g month:07 |g pages:4543 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1038/s41467-021-24482-1 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 12 |j 2021 |e 1 |b 27 |c 07 |h 4543 | ||