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Exploring plasma metabolomic changes in sepsis: a clinical matching study based on gas chromatography–mass spectrometry
BACKGROUND: Sepsis is a deleterious systemic inflammatory response to infection, and despite advances in treatment, the mortality rate remains high. We hypothesized that plasma metabolism could clarify sepsis in patients complicated by organ dysfunction. METHODS: Plasma samples from 31 patients with...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7791264/ https://www.ncbi.nlm.nih.gov/pubmed/33437767 http://dx.doi.org/10.21037/atm-20-3562 |
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author | Lin, Shi-Hui Fan, Jing Zhu, Jing Zhao, Yi-Si Wang, Chuan-Jiang Zhang, Mu Xu, Fang |
author_facet | Lin, Shi-Hui Fan, Jing Zhu, Jing Zhao, Yi-Si Wang, Chuan-Jiang Zhang, Mu Xu, Fang |
author_sort | Lin, Shi-Hui |
collection | PubMed |
description | BACKGROUND: Sepsis is a deleterious systemic inflammatory response to infection, and despite advances in treatment, the mortality rate remains high. We hypothesized that plasma metabolism could clarify sepsis in patients complicated by organ dysfunction. METHODS: Plasma samples from 31 patients with sepsis and 23 healthy individuals of comparable age, gender, and body mass index (BMI) were collected. Plasma metabolites were detected through gas chromatography–mass spectrometry (GC–MS), and relevant metabolic pathways were predicted using the Kyoto Encyclopedia of Genes and Genomics (KEGG) pathway database. Student’s t-test was employed for statistical analysis. In addition, to explore sepsis organ dysfunction, plasma samples of sepsis patients were further analyzed by metabolomics subgroup analysis according to organ dysfunction. RESULTS: A total of 222 metabolites were detected, which included 124 metabolites with statistical significance between the sepsis and control groups. Among these, we found 26 were fatty acids, including 3 branched fatty acids, 10 were saturated fatty acids, and 13 were unsaturated fatty acids that were found in sepsis plasma samples but not in the controls. In addition, 158 metabolic pathways were predicted, 74 of which were significant. Further subgroup analysis identified seven metabolites in acute kidney injury (AKI), three metabolites in acute respiratory distress syndrome (ARDS), seven metabolites in sepsis-induced myocardial dysfunction (SIMD), and four metabolites in acute hepatic ischemia (AHI) that were significantly different. The results showed that the sepsis samples exhibited extensive changes in amino acids, fatty acids, and tricarboxylic acid (TCA)–cycle products. In addition, three metabolic pathways—namely, energy metabolism, amino acid metabolism, and lipid metabolism—were downregulated in sepsis patients. CONCLUSIONS: The downregulated energy, amino acid, and lipid metabolism found in our study may serve as a novel clinical marker for the dysregulated internal environment, particularly involving energy metabolism, which results in sepsis. |
format | Online Article Text |
id | pubmed-7791264 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-77912642021-01-11 Exploring plasma metabolomic changes in sepsis: a clinical matching study based on gas chromatography–mass spectrometry Lin, Shi-Hui Fan, Jing Zhu, Jing Zhao, Yi-Si Wang, Chuan-Jiang Zhang, Mu Xu, Fang Ann Transl Med Original Article BACKGROUND: Sepsis is a deleterious systemic inflammatory response to infection, and despite advances in treatment, the mortality rate remains high. We hypothesized that plasma metabolism could clarify sepsis in patients complicated by organ dysfunction. METHODS: Plasma samples from 31 patients with sepsis and 23 healthy individuals of comparable age, gender, and body mass index (BMI) were collected. Plasma metabolites were detected through gas chromatography–mass spectrometry (GC–MS), and relevant metabolic pathways were predicted using the Kyoto Encyclopedia of Genes and Genomics (KEGG) pathway database. Student’s t-test was employed for statistical analysis. In addition, to explore sepsis organ dysfunction, plasma samples of sepsis patients were further analyzed by metabolomics subgroup analysis according to organ dysfunction. RESULTS: A total of 222 metabolites were detected, which included 124 metabolites with statistical significance between the sepsis and control groups. Among these, we found 26 were fatty acids, including 3 branched fatty acids, 10 were saturated fatty acids, and 13 were unsaturated fatty acids that were found in sepsis plasma samples but not in the controls. In addition, 158 metabolic pathways were predicted, 74 of which were significant. Further subgroup analysis identified seven metabolites in acute kidney injury (AKI), three metabolites in acute respiratory distress syndrome (ARDS), seven metabolites in sepsis-induced myocardial dysfunction (SIMD), and four metabolites in acute hepatic ischemia (AHI) that were significantly different. The results showed that the sepsis samples exhibited extensive changes in amino acids, fatty acids, and tricarboxylic acid (TCA)–cycle products. In addition, three metabolic pathways—namely, energy metabolism, amino acid metabolism, and lipid metabolism—were downregulated in sepsis patients. CONCLUSIONS: The downregulated energy, amino acid, and lipid metabolism found in our study may serve as a novel clinical marker for the dysregulated internal environment, particularly involving energy metabolism, which results in sepsis. AME Publishing Company 2020-12 /pmc/articles/PMC7791264/ /pubmed/33437767 http://dx.doi.org/10.21037/atm-20-3562 Text en 2020 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Lin, Shi-Hui Fan, Jing Zhu, Jing Zhao, Yi-Si Wang, Chuan-Jiang Zhang, Mu Xu, Fang Exploring plasma metabolomic changes in sepsis: a clinical matching study based on gas chromatography–mass spectrometry |
title | Exploring plasma metabolomic changes in sepsis: a clinical matching study based on gas chromatography–mass spectrometry |
title_full | Exploring plasma metabolomic changes in sepsis: a clinical matching study based on gas chromatography–mass spectrometry |
title_fullStr | Exploring plasma metabolomic changes in sepsis: a clinical matching study based on gas chromatography–mass spectrometry |
title_full_unstemmed | Exploring plasma metabolomic changes in sepsis: a clinical matching study based on gas chromatography–mass spectrometry |
title_short | Exploring plasma metabolomic changes in sepsis: a clinical matching study based on gas chromatography–mass spectrometry |
title_sort | exploring plasma metabolomic changes in sepsis: a clinical matching study based on gas chromatography–mass spectrometry |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7791264/ https://www.ncbi.nlm.nih.gov/pubmed/33437767 http://dx.doi.org/10.21037/atm-20-3562 |
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