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Metabolomics reveals sex-specific metabolic shifts and predicts the duration from positive to negative in non-severe COVID-19 patients during recovery process
Metabolic profiling in COVID-19 patients has been associated with disease severity, but there is no report on sex-specific metabolic changes in discharged survivors. Herein we used an integrated approach of LC-MS-and GC–MS-based untargeted metabolomics to analyze plasma metabolic characteristics in...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8021501/ https://www.ncbi.nlm.nih.gov/pubmed/33841749 http://dx.doi.org/10.1016/j.csbj.2021.03.039 |
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author | Zheng, Hong Jin, Shengwei Li, Ting Ying, Weiyang Ying, Binyu Chen, Dong Ning, Jie Zheng, Chanfan Li, Yuping Li, Chen Chen, Chengshui Li, Xiaokun Gao, Hongchang |
author_facet | Zheng, Hong Jin, Shengwei Li, Ting Ying, Weiyang Ying, Binyu Chen, Dong Ning, Jie Zheng, Chanfan Li, Yuping Li, Chen Chen, Chengshui Li, Xiaokun Gao, Hongchang |
author_sort | Zheng, Hong |
collection | PubMed |
description | Metabolic profiling in COVID-19 patients has been associated with disease severity, but there is no report on sex-specific metabolic changes in discharged survivors. Herein we used an integrated approach of LC-MS-and GC–MS-based untargeted metabolomics to analyze plasma metabolic characteristics in men and women with non-severe COVID-19 at both acute period and 30 days after discharge. The results demonstrate that metabolic alterations in plasma of COVID-19 patients during the recovery and rehabilitation process were presented in a sex specific manner. Overall, the levels of most metabolites were increased in COVID-19 patients after the cure relative to acute period. The major plasma metabolic changes were identified including fatty acids in men and glycerophosphocholines and carbohydrates in women. In addition, we found that women had shorter length of hospitalization than men and metabolic characteristics may contribute to predict the duration from positive to negative in non-severe COVID-19 patients. Collectively, this study shed light on sex-specific metabolic shifts in non-severe COVID-19 patients during the recovery process, suggesting a sex bias in prognostic and therapeutic evaluations based on metabolic profiling. |
format | Online Article Text |
id | pubmed-8021501 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-80215012021-04-06 Metabolomics reveals sex-specific metabolic shifts and predicts the duration from positive to negative in non-severe COVID-19 patients during recovery process Zheng, Hong Jin, Shengwei Li, Ting Ying, Weiyang Ying, Binyu Chen, Dong Ning, Jie Zheng, Chanfan Li, Yuping Li, Chen Chen, Chengshui Li, Xiaokun Gao, Hongchang Comput Struct Biotechnol J Research Article Metabolic profiling in COVID-19 patients has been associated with disease severity, but there is no report on sex-specific metabolic changes in discharged survivors. Herein we used an integrated approach of LC-MS-and GC–MS-based untargeted metabolomics to analyze plasma metabolic characteristics in men and women with non-severe COVID-19 at both acute period and 30 days after discharge. The results demonstrate that metabolic alterations in plasma of COVID-19 patients during the recovery and rehabilitation process were presented in a sex specific manner. Overall, the levels of most metabolites were increased in COVID-19 patients after the cure relative to acute period. The major plasma metabolic changes were identified including fatty acids in men and glycerophosphocholines and carbohydrates in women. In addition, we found that women had shorter length of hospitalization than men and metabolic characteristics may contribute to predict the duration from positive to negative in non-severe COVID-19 patients. Collectively, this study shed light on sex-specific metabolic shifts in non-severe COVID-19 patients during the recovery process, suggesting a sex bias in prognostic and therapeutic evaluations based on metabolic profiling. Research Network of Computational and Structural Biotechnology 2021-04-06 /pmc/articles/PMC8021501/ /pubmed/33841749 http://dx.doi.org/10.1016/j.csbj.2021.03.039 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Zheng, Hong Jin, Shengwei Li, Ting Ying, Weiyang Ying, Binyu Chen, Dong Ning, Jie Zheng, Chanfan Li, Yuping Li, Chen Chen, Chengshui Li, Xiaokun Gao, Hongchang Metabolomics reveals sex-specific metabolic shifts and predicts the duration from positive to negative in non-severe COVID-19 patients during recovery process |
title | Metabolomics reveals sex-specific metabolic shifts and predicts the duration from positive to negative in non-severe COVID-19 patients during recovery process |
title_full | Metabolomics reveals sex-specific metabolic shifts and predicts the duration from positive to negative in non-severe COVID-19 patients during recovery process |
title_fullStr | Metabolomics reveals sex-specific metabolic shifts and predicts the duration from positive to negative in non-severe COVID-19 patients during recovery process |
title_full_unstemmed | Metabolomics reveals sex-specific metabolic shifts and predicts the duration from positive to negative in non-severe COVID-19 patients during recovery process |
title_short | Metabolomics reveals sex-specific metabolic shifts and predicts the duration from positive to negative in non-severe COVID-19 patients during recovery process |
title_sort | metabolomics reveals sex-specific metabolic shifts and predicts the duration from positive to negative in non-severe covid-19 patients during recovery process |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8021501/ https://www.ncbi.nlm.nih.gov/pubmed/33841749 http://dx.doi.org/10.1016/j.csbj.2021.03.039 |
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