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Systematic Discovery and Pathway Analyses of Metabolic Disturbance in COVID-19
BACKGROUND: The ongoing global coronavirus disease 2019 (COVID-19) pandemic is posing a serious public health threat to nations worldwide. Understanding the pathogenesis of the disease and host immune responses will facilitate the discovery of therapeutic targets and better management of infected pa...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8291038/ http://dx.doi.org/10.1097/ID9.0000000000000010 |
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author | Li, Bo-Wen Fan, Xing Cao, Wen-Jing Tian, He Wang, Si-Yu Zhang, Ji-Yuan Lam, Sin Man Song, Jin-Wen Zhang, Chao Zhang, Shao-Hua Xu, Zhe Xu, Ruo-Nan Fu, Jun-Liang Huang, Lei Jiang, Tian-Jun Shi, Ming Wang, Fu-Sheng Shui, Guang-Hou |
author_facet | Li, Bo-Wen Fan, Xing Cao, Wen-Jing Tian, He Wang, Si-Yu Zhang, Ji-Yuan Lam, Sin Man Song, Jin-Wen Zhang, Chao Zhang, Shao-Hua Xu, Zhe Xu, Ruo-Nan Fu, Jun-Liang Huang, Lei Jiang, Tian-Jun Shi, Ming Wang, Fu-Sheng Shui, Guang-Hou |
author_sort | Li, Bo-Wen |
collection | PubMed |
description | BACKGROUND: The ongoing global coronavirus disease 2019 (COVID-19) pandemic is posing a serious public health threat to nations worldwide. Understanding the pathogenesis of the disease and host immune responses will facilitate the discovery of therapeutic targets and better management of infected patients. Metabolomics technology can provide an unbiased tool to explore metabolic perturbation. METHODS: Twenty-six healthy controls and 50 COVID-19 patients with mild, moderate, and severe symptoms in the Fifth Medical Center of PLA General Hospital from January 22 to February 16, 2020 were recruited into the study. Fasting blood samples were collected and subject to metabolomics analysis by liquid chromatography–mass spectrometry. Metabolite abundance was measured by peak area and was log-transformed before statistical analysis. The principal component analysis, different expression analysis, and metabolic pathway analysis were performed using R package. Co-regulated metabolites and their associations with clinical indices were identified by the weighted correlation network analysis and Spearman correlation coefficients. The potential metabolite biomarkers were analyzed using a random forest model. RESULTS: We uncovered over 100 metabolites that were associated with COVID-19 disease and many of them correlated with disease severity. Sets of highly correlated metabolites were identified and their correlations with clinical indices were presented. Further analyses linked the differential metabolites with biochemical reactions, metabolic pathways, and biomedical MeSH terms, offering contextual insights into disease pathogenesis and host responses. Finally, a panel of metabolites was discovered to be able to discriminate COVID-19 patients from healthy controls, and also another list for mild against more severe cases. Our findings showed that in COVID-19 patients, citrate cycle, sphingosine 1-phosphate in sphingolipid metabolism, and steroid hormone biosynthesis were downregulated, while purine metabolism and tryptophan metabolism were disturbed. CONCLUSION: This study discovered key metabolites as well as their related biological and medical concepts pertaining to COVID-19 pathogenesis and host immune response, which will facilitate the selection of potential biomarkers for prognosis and discovery of therapeutic targets. |
format | Online Article Text |
id | pubmed-8291038 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-82910382021-07-20 Systematic Discovery and Pathway Analyses of Metabolic Disturbance in COVID-19 Li, Bo-Wen Fan, Xing Cao, Wen-Jing Tian, He Wang, Si-Yu Zhang, Ji-Yuan Lam, Sin Man Song, Jin-Wen Zhang, Chao Zhang, Shao-Hua Xu, Zhe Xu, Ruo-Nan Fu, Jun-Liang Huang, Lei Jiang, Tian-Jun Shi, Ming Wang, Fu-Sheng Shui, Guang-Hou Infectious Diseases & Immunity Original Article BACKGROUND: The ongoing global coronavirus disease 2019 (COVID-19) pandemic is posing a serious public health threat to nations worldwide. Understanding the pathogenesis of the disease and host immune responses will facilitate the discovery of therapeutic targets and better management of infected patients. Metabolomics technology can provide an unbiased tool to explore metabolic perturbation. METHODS: Twenty-six healthy controls and 50 COVID-19 patients with mild, moderate, and severe symptoms in the Fifth Medical Center of PLA General Hospital from January 22 to February 16, 2020 were recruited into the study. Fasting blood samples were collected and subject to metabolomics analysis by liquid chromatography–mass spectrometry. Metabolite abundance was measured by peak area and was log-transformed before statistical analysis. The principal component analysis, different expression analysis, and metabolic pathway analysis were performed using R package. Co-regulated metabolites and their associations with clinical indices were identified by the weighted correlation network analysis and Spearman correlation coefficients. The potential metabolite biomarkers were analyzed using a random forest model. RESULTS: We uncovered over 100 metabolites that were associated with COVID-19 disease and many of them correlated with disease severity. Sets of highly correlated metabolites were identified and their correlations with clinical indices were presented. Further analyses linked the differential metabolites with biochemical reactions, metabolic pathways, and biomedical MeSH terms, offering contextual insights into disease pathogenesis and host responses. Finally, a panel of metabolites was discovered to be able to discriminate COVID-19 patients from healthy controls, and also another list for mild against more severe cases. Our findings showed that in COVID-19 patients, citrate cycle, sphingosine 1-phosphate in sphingolipid metabolism, and steroid hormone biosynthesis were downregulated, while purine metabolism and tryptophan metabolism were disturbed. CONCLUSION: This study discovered key metabolites as well as their related biological and medical concepts pertaining to COVID-19 pathogenesis and host immune response, which will facilitate the selection of potential biomarkers for prognosis and discovery of therapeutic targets. Lippincott Williams & Wilkins 2021-06-09 /pmc/articles/PMC8291038/ http://dx.doi.org/10.1097/ID9.0000000000000010 Text en Copyright © 2021 The Chinese Medical Association, published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections. |
spellingShingle | Original Article Li, Bo-Wen Fan, Xing Cao, Wen-Jing Tian, He Wang, Si-Yu Zhang, Ji-Yuan Lam, Sin Man Song, Jin-Wen Zhang, Chao Zhang, Shao-Hua Xu, Zhe Xu, Ruo-Nan Fu, Jun-Liang Huang, Lei Jiang, Tian-Jun Shi, Ming Wang, Fu-Sheng Shui, Guang-Hou Systematic Discovery and Pathway Analyses of Metabolic Disturbance in COVID-19 |
title | Systematic Discovery and Pathway Analyses of Metabolic Disturbance in COVID-19 |
title_full | Systematic Discovery and Pathway Analyses of Metabolic Disturbance in COVID-19 |
title_fullStr | Systematic Discovery and Pathway Analyses of Metabolic Disturbance in COVID-19 |
title_full_unstemmed | Systematic Discovery and Pathway Analyses of Metabolic Disturbance in COVID-19 |
title_short | Systematic Discovery and Pathway Analyses of Metabolic Disturbance in COVID-19 |
title_sort | systematic discovery and pathway analyses of metabolic disturbance in covid-19 |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8291038/ http://dx.doi.org/10.1097/ID9.0000000000000010 |
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