Cargando…

Sera Metabolomics Characterization of Patients at Different Stages in Wuhan Identifies Critical Biomarkers of COVID-19

We have witnessed the 2-year-long global rampage of COVID-19 caused by the wide spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, knowledge about biomarkers of the entire COVID-19 process is limited. Identification of the systemic features of COVID-19 will lead to crit...

Descripción completa

Detalles Bibliográficos
Autores principales: Gu, Meijia, Pan, Huaqin, Yuan, Yuncong, Zhou, Xuemin, Chen, Luojia, Wang, Xingran, Fang, Fang, Hu, Liu, Xie, Yaxuan, Shen, Chao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9108257/
https://www.ncbi.nlm.nih.gov/pubmed/35586248
http://dx.doi.org/10.3389/fcimb.2022.882661
_version_ 1784708660678623232
author Gu, Meijia
Pan, Huaqin
Yuan, Yuncong
Zhou, Xuemin
Chen, Luojia
Wang, Xingran
Fang, Fang
Hu, Liu
Xie, Yaxuan
Shen, Chao
author_facet Gu, Meijia
Pan, Huaqin
Yuan, Yuncong
Zhou, Xuemin
Chen, Luojia
Wang, Xingran
Fang, Fang
Hu, Liu
Xie, Yaxuan
Shen, Chao
author_sort Gu, Meijia
collection PubMed
description We have witnessed the 2-year-long global rampage of COVID-19 caused by the wide spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, knowledge about biomarkers of the entire COVID-19 process is limited. Identification of the systemic features of COVID-19 will lead to critical biomarkers and therapeutic targets for early intervention and clinical disease course prediction. Here, we performed a comprehensive analysis of clinical measurements and serum metabolomics in 199 patients with different stages of COVID-19. In particular, our study is the first serum metabolomic analysis of critical rehabilitation patients and critical death patients. We found many differential metabolites in the comparison of metabolomic results between ordinary, severe, and critical patients and uninfected patients. Through the metabolomic results of COVID-19 patients in various stages, and critical rehabilitation patients and critical death patients, we identified a series of differential metabolites as biomarkers, a separate queue and precise distinction, and predicted COVID-19 verification. These differentially expressed metabolites, included 1,2-di-(9Z,12Z-octadecadienoyl)-sn-glycero-3-phosphate, propylparaben, 20-hydroxyeicosatetraenoic acid, triethanolamine, chavicol, disialosyl galactosyl globoside, 1-arachidonoylglycerophosphoinositol, and alpha-methylstyrene, all of which have been identified for the first time as biomarkers in COVID-19 progression. These biomarkers are involved in many pathological and physiological pathways of COVID-19, for example, immune responses, platelet degranulation, and metabolism which might result in pathogenesis. Our results showed valuable information about metabolites obviously altered in COVID-19 patients with different stages, which could shed light on the pathogenesis as well as serve as potential therapeutic agents of COVID-19.
format Online
Article
Text
id pubmed-9108257
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-91082572022-05-17 Sera Metabolomics Characterization of Patients at Different Stages in Wuhan Identifies Critical Biomarkers of COVID-19 Gu, Meijia Pan, Huaqin Yuan, Yuncong Zhou, Xuemin Chen, Luojia Wang, Xingran Fang, Fang Hu, Liu Xie, Yaxuan Shen, Chao Front Cell Infect Microbiol Cellular and Infection Microbiology We have witnessed the 2-year-long global rampage of COVID-19 caused by the wide spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, knowledge about biomarkers of the entire COVID-19 process is limited. Identification of the systemic features of COVID-19 will lead to critical biomarkers and therapeutic targets for early intervention and clinical disease course prediction. Here, we performed a comprehensive analysis of clinical measurements and serum metabolomics in 199 patients with different stages of COVID-19. In particular, our study is the first serum metabolomic analysis of critical rehabilitation patients and critical death patients. We found many differential metabolites in the comparison of metabolomic results between ordinary, severe, and critical patients and uninfected patients. Through the metabolomic results of COVID-19 patients in various stages, and critical rehabilitation patients and critical death patients, we identified a series of differential metabolites as biomarkers, a separate queue and precise distinction, and predicted COVID-19 verification. These differentially expressed metabolites, included 1,2-di-(9Z,12Z-octadecadienoyl)-sn-glycero-3-phosphate, propylparaben, 20-hydroxyeicosatetraenoic acid, triethanolamine, chavicol, disialosyl galactosyl globoside, 1-arachidonoylglycerophosphoinositol, and alpha-methylstyrene, all of which have been identified for the first time as biomarkers in COVID-19 progression. These biomarkers are involved in many pathological and physiological pathways of COVID-19, for example, immune responses, platelet degranulation, and metabolism which might result in pathogenesis. Our results showed valuable information about metabolites obviously altered in COVID-19 patients with different stages, which could shed light on the pathogenesis as well as serve as potential therapeutic agents of COVID-19. Frontiers Media S.A. 2022-05-02 /pmc/articles/PMC9108257/ /pubmed/35586248 http://dx.doi.org/10.3389/fcimb.2022.882661 Text en Copyright © 2022 Gu, Pan, Yuan, Zhou, Chen, Wang, Fang, Hu, Xie and Shen https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cellular and Infection Microbiology
Gu, Meijia
Pan, Huaqin
Yuan, Yuncong
Zhou, Xuemin
Chen, Luojia
Wang, Xingran
Fang, Fang
Hu, Liu
Xie, Yaxuan
Shen, Chao
Sera Metabolomics Characterization of Patients at Different Stages in Wuhan Identifies Critical Biomarkers of COVID-19
title Sera Metabolomics Characterization of Patients at Different Stages in Wuhan Identifies Critical Biomarkers of COVID-19
title_full Sera Metabolomics Characterization of Patients at Different Stages in Wuhan Identifies Critical Biomarkers of COVID-19
title_fullStr Sera Metabolomics Characterization of Patients at Different Stages in Wuhan Identifies Critical Biomarkers of COVID-19
title_full_unstemmed Sera Metabolomics Characterization of Patients at Different Stages in Wuhan Identifies Critical Biomarkers of COVID-19
title_short Sera Metabolomics Characterization of Patients at Different Stages in Wuhan Identifies Critical Biomarkers of COVID-19
title_sort sera metabolomics characterization of patients at different stages in wuhan identifies critical biomarkers of covid-19
topic Cellular and Infection Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9108257/
https://www.ncbi.nlm.nih.gov/pubmed/35586248
http://dx.doi.org/10.3389/fcimb.2022.882661
work_keys_str_mv AT gumeijia serametabolomicscharacterizationofpatientsatdifferentstagesinwuhanidentifiescriticalbiomarkersofcovid19
AT panhuaqin serametabolomicscharacterizationofpatientsatdifferentstagesinwuhanidentifiescriticalbiomarkersofcovid19
AT yuanyuncong serametabolomicscharacterizationofpatientsatdifferentstagesinwuhanidentifiescriticalbiomarkersofcovid19
AT zhouxuemin serametabolomicscharacterizationofpatientsatdifferentstagesinwuhanidentifiescriticalbiomarkersofcovid19
AT chenluojia serametabolomicscharacterizationofpatientsatdifferentstagesinwuhanidentifiescriticalbiomarkersofcovid19
AT wangxingran serametabolomicscharacterizationofpatientsatdifferentstagesinwuhanidentifiescriticalbiomarkersofcovid19
AT fangfang serametabolomicscharacterizationofpatientsatdifferentstagesinwuhanidentifiescriticalbiomarkersofcovid19
AT huliu serametabolomicscharacterizationofpatientsatdifferentstagesinwuhanidentifiescriticalbiomarkersofcovid19
AT xieyaxuan serametabolomicscharacterizationofpatientsatdifferentstagesinwuhanidentifiescriticalbiomarkersofcovid19
AT shenchao serametabolomicscharacterizationofpatientsatdifferentstagesinwuhanidentifiescriticalbiomarkersofcovid19