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The trans-omics landscape of COVID-19
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 2...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8316550/ https://www.ncbi.nlm.nih.gov/pubmed/34315889 http://dx.doi.org/10.1038/s41467-021-24482-1 |
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author | 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 |
author_facet | 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 |
author_sort | Wu, Peng |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8316550 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-83165502021-08-03 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 Nat Commun Article 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. Nature Publishing Group UK 2021-07-27 /pmc/articles/PMC8316550/ /pubmed/34315889 http://dx.doi.org/10.1038/s41467-021-24482-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article 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 trans-omics landscape of COVID-19 |
title | The trans-omics landscape of COVID-19 |
title_full | The trans-omics landscape of COVID-19 |
title_fullStr | The trans-omics landscape of COVID-19 |
title_full_unstemmed | The trans-omics landscape of COVID-19 |
title_short | The trans-omics landscape of COVID-19 |
title_sort | trans-omics landscape of covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8316550/ https://www.ncbi.nlm.nih.gov/pubmed/34315889 http://dx.doi.org/10.1038/s41467-021-24482-1 |
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