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Plasma Metabolic Profiling of Pediatric Sepsis in a Chinese Cohort
Sepsis represents one of the most pressing problems in pediatrics, characterized by pathogenic bacteria invading the blood, growing and multiplying in the blood circulation, and ultimately causing severe infections. Most children with sepsis have a rapid disease onset and frequently exhibit sudden h...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7917179/ https://www.ncbi.nlm.nih.gov/pubmed/33659257 http://dx.doi.org/10.3389/fcell.2021.643979 |
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author | Li, Guo-Bang Hu, Hong-Rong Pan, Wen-Feng Li, Bo Ou, Zhi-Ying Liang, Hui-Ying Li, Cong |
author_facet | Li, Guo-Bang Hu, Hong-Rong Pan, Wen-Feng Li, Bo Ou, Zhi-Ying Liang, Hui-Ying Li, Cong |
author_sort | Li, Guo-Bang |
collection | PubMed |
description | Sepsis represents one of the most pressing problems in pediatrics, characterized by pathogenic bacteria invading the blood, growing and multiplying in the blood circulation, and ultimately causing severe infections. Most children with sepsis have a rapid disease onset and frequently exhibit sudden high fever or first chills. Here we performed comprehensive metabolomic profiling of plasma samples collected from pediatric sepsis patients to identify specific metabolic alterations associated with these patients (n = 84, designated as case subjects) as compared to healthy cohorts (n = 59, designated as control subjects). Diagnostic models were constructed using MetaboAnalyst, R packages, and multiple statistical methods, such as orthogonal partial least squares-discriminant analysis, principal component analysis, volcano plotting, and one-way ANOVA. Our study revealed a panel of metabolites responsible for the discrimination between case and control subjects with a high predictive value of prognosis. Moreover, significantly altered metabolites in sepsis survivors versus deceased patients (non-survivors) were identified as those involved in amino acids, fatty acids, and carbohydrates metabolism. Nine metabolites including organic acids and fatty acids were also identified with significantly higher abundance in sepsis patients with related microbes, implicating greater potentials to distinguish bacterial species using metabolomic analysis than blood culture. Pathway enrichment analysis further revealed that fatty acid metabolism might play an important role in the pathogenesis of sepsis. |
format | Online Article Text |
id | pubmed-7917179 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79171792021-03-02 Plasma Metabolic Profiling of Pediatric Sepsis in a Chinese Cohort Li, Guo-Bang Hu, Hong-Rong Pan, Wen-Feng Li, Bo Ou, Zhi-Ying Liang, Hui-Ying Li, Cong Front Cell Dev Biol Cell and Developmental Biology Sepsis represents one of the most pressing problems in pediatrics, characterized by pathogenic bacteria invading the blood, growing and multiplying in the blood circulation, and ultimately causing severe infections. Most children with sepsis have a rapid disease onset and frequently exhibit sudden high fever or first chills. Here we performed comprehensive metabolomic profiling of plasma samples collected from pediatric sepsis patients to identify specific metabolic alterations associated with these patients (n = 84, designated as case subjects) as compared to healthy cohorts (n = 59, designated as control subjects). Diagnostic models were constructed using MetaboAnalyst, R packages, and multiple statistical methods, such as orthogonal partial least squares-discriminant analysis, principal component analysis, volcano plotting, and one-way ANOVA. Our study revealed a panel of metabolites responsible for the discrimination between case and control subjects with a high predictive value of prognosis. Moreover, significantly altered metabolites in sepsis survivors versus deceased patients (non-survivors) were identified as those involved in amino acids, fatty acids, and carbohydrates metabolism. Nine metabolites including organic acids and fatty acids were also identified with significantly higher abundance in sepsis patients with related microbes, implicating greater potentials to distinguish bacterial species using metabolomic analysis than blood culture. Pathway enrichment analysis further revealed that fatty acid metabolism might play an important role in the pathogenesis of sepsis. Frontiers Media S.A. 2021-02-15 /pmc/articles/PMC7917179/ /pubmed/33659257 http://dx.doi.org/10.3389/fcell.2021.643979 Text en Copyright © 2021 Li, Hu, Pan, Li, Ou, Liang and Li. http://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 | Cell and Developmental Biology Li, Guo-Bang Hu, Hong-Rong Pan, Wen-Feng Li, Bo Ou, Zhi-Ying Liang, Hui-Ying Li, Cong Plasma Metabolic Profiling of Pediatric Sepsis in a Chinese Cohort |
title | Plasma Metabolic Profiling of Pediatric Sepsis in a Chinese Cohort |
title_full | Plasma Metabolic Profiling of Pediatric Sepsis in a Chinese Cohort |
title_fullStr | Plasma Metabolic Profiling of Pediatric Sepsis in a Chinese Cohort |
title_full_unstemmed | Plasma Metabolic Profiling of Pediatric Sepsis in a Chinese Cohort |
title_short | Plasma Metabolic Profiling of Pediatric Sepsis in a Chinese Cohort |
title_sort | plasma metabolic profiling of pediatric sepsis in a chinese cohort |
topic | Cell and Developmental Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7917179/ https://www.ncbi.nlm.nih.gov/pubmed/33659257 http://dx.doi.org/10.3389/fcell.2021.643979 |
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