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Metabolomic analyses reveal new stage-specific features of COVID-19

The current pandemic of coronavirus disease 2019 (COVID-19) has affected >160 million individuals to date, and has caused millions of deaths worldwide, at least in part due to the unclarified pathophysiology of this disease. Identifying the underlying molecular mechanisms of COVID-19 is critical...

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Autores principales: Jia, Hongling, Liu, Chaowu, Li, Dantong, Huang, Qingsheng, Liu, Dong, Zhang, Ying, Ye, Chang, Zhou, Di, Wang, Yang, Tan, Yanlian, Li, Kuibiao, Lin, Fangqin, Zhang, Haiqing, Lin, Jingchao, Xu, Yang, Liu, Jingwen, Zeng, Qing, Hong, Jian, Chen, Guobing, Zhang, Hao, Zheng, Lingling, Deng, Xilong, Ke, Changwen, Gao, Yunfei, Fan, Jun, Di, Biao, Liang, Huiying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Respiratory Society 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8311281/
https://www.ncbi.nlm.nih.gov/pubmed/34289974
http://dx.doi.org/10.1183/13993003.00284-2021
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author Jia, Hongling
Liu, Chaowu
Li, Dantong
Huang, Qingsheng
Liu, Dong
Zhang, Ying
Ye, Chang
Zhou, Di
Wang, Yang
Tan, Yanlian
Li, Kuibiao
Lin, Fangqin
Zhang, Haiqing
Lin, Jingchao
Xu, Yang
Liu, Jingwen
Zeng, Qing
Hong, Jian
Chen, Guobing
Zhang, Hao
Zheng, Lingling
Deng, Xilong
Ke, Changwen
Gao, Yunfei
Fan, Jun
Di, Biao
Liang, Huiying
author_facet Jia, Hongling
Liu, Chaowu
Li, Dantong
Huang, Qingsheng
Liu, Dong
Zhang, Ying
Ye, Chang
Zhou, Di
Wang, Yang
Tan, Yanlian
Li, Kuibiao
Lin, Fangqin
Zhang, Haiqing
Lin, Jingchao
Xu, Yang
Liu, Jingwen
Zeng, Qing
Hong, Jian
Chen, Guobing
Zhang, Hao
Zheng, Lingling
Deng, Xilong
Ke, Changwen
Gao, Yunfei
Fan, Jun
Di, Biao
Liang, Huiying
author_sort Jia, Hongling
collection PubMed
description The current pandemic of coronavirus disease 2019 (COVID-19) has affected >160 million individuals to date, and has caused millions of deaths worldwide, at least in part due to the unclarified pathophysiology of this disease. Identifying the underlying molecular mechanisms of COVID-19 is critical to overcome this pandemic. Metabolites mirror the disease progression of an individual and can provide extensive insights into their pathophysiological significance at each stage of disease. We provide a comprehensive view of metabolic characterisation of sera from COVID-19 patients at all stages using untargeted and targeted metabolomic analysis. As compared with the healthy controls, we observed different alteration patterns of circulating metabolites from the mild, severe and recovery stages, in both the discovery cohort and the validation cohort, which suggests that metabolic reprogramming of glucose metabolism and the urea cycle are potential pathological mechanisms for COVID-19 progression. Our findings suggest that targeting glucose metabolism and the urea cycle may be a viable approach to fight COVID-19 at various stages along the disease course.
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spelling pubmed-83112812021-07-27 Metabolomic analyses reveal new stage-specific features of COVID-19 Jia, Hongling Liu, Chaowu Li, Dantong Huang, Qingsheng Liu, Dong Zhang, Ying Ye, Chang Zhou, Di Wang, Yang Tan, Yanlian Li, Kuibiao Lin, Fangqin Zhang, Haiqing Lin, Jingchao Xu, Yang Liu, Jingwen Zeng, Qing Hong, Jian Chen, Guobing Zhang, Hao Zheng, Lingling Deng, Xilong Ke, Changwen Gao, Yunfei Fan, Jun Di, Biao Liang, Huiying Eur Respir J Original Research Articles The current pandemic of coronavirus disease 2019 (COVID-19) has affected >160 million individuals to date, and has caused millions of deaths worldwide, at least in part due to the unclarified pathophysiology of this disease. Identifying the underlying molecular mechanisms of COVID-19 is critical to overcome this pandemic. Metabolites mirror the disease progression of an individual and can provide extensive insights into their pathophysiological significance at each stage of disease. We provide a comprehensive view of metabolic characterisation of sera from COVID-19 patients at all stages using untargeted and targeted metabolomic analysis. As compared with the healthy controls, we observed different alteration patterns of circulating metabolites from the mild, severe and recovery stages, in both the discovery cohort and the validation cohort, which suggests that metabolic reprogramming of glucose metabolism and the urea cycle are potential pathological mechanisms for COVID-19 progression. Our findings suggest that targeting glucose metabolism and the urea cycle may be a viable approach to fight COVID-19 at various stages along the disease course. European Respiratory Society 2022-02-24 /pmc/articles/PMC8311281/ /pubmed/34289974 http://dx.doi.org/10.1183/13993003.00284-2021 Text en Copyright ©The authors 2022. https://creativecommons.org/licenses/by-nc/4.0/This version is distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0. For commercial reproduction rights and permissions contact permissions@ersnet.org (mailto:permissions@ersnet.org)
spellingShingle Original Research Articles
Jia, Hongling
Liu, Chaowu
Li, Dantong
Huang, Qingsheng
Liu, Dong
Zhang, Ying
Ye, Chang
Zhou, Di
Wang, Yang
Tan, Yanlian
Li, Kuibiao
Lin, Fangqin
Zhang, Haiqing
Lin, Jingchao
Xu, Yang
Liu, Jingwen
Zeng, Qing
Hong, Jian
Chen, Guobing
Zhang, Hao
Zheng, Lingling
Deng, Xilong
Ke, Changwen
Gao, Yunfei
Fan, Jun
Di, Biao
Liang, Huiying
Metabolomic analyses reveal new stage-specific features of COVID-19
title Metabolomic analyses reveal new stage-specific features of COVID-19
title_full Metabolomic analyses reveal new stage-specific features of COVID-19
title_fullStr Metabolomic analyses reveal new stage-specific features of COVID-19
title_full_unstemmed Metabolomic analyses reveal new stage-specific features of COVID-19
title_short Metabolomic analyses reveal new stage-specific features of COVID-19
title_sort metabolomic analyses reveal new stage-specific features of covid-19
topic Original Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8311281/
https://www.ncbi.nlm.nih.gov/pubmed/34289974
http://dx.doi.org/10.1183/13993003.00284-2021
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