Cluster analysis and profiling of airway fluid metabolites in pediatric acute hypoxemic respiratory failure

Abstract Hierarchal clustering of amino acid metabolites may identify a metabolic signature in children with pediatric acute hypoxemic respiratory failure. Seventy-four immunocompetent children, 41 (55.4%) with pediatric acute respiratory distress syndrome (PARDS), who were between 2 days to 18 year...

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Autores principales: Jocelyn R. Grunwell, Milad G. Rad, Susan T. Stephenson, Ahmad F. Mohammad, Cydney Opolka, Anne M. Fitzpatrick, Rishikesan Kamaleswaran
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/21c9b9db24a246c3bc322db8f011aa06
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spelling oai:doaj.org-article:21c9b9db24a246c3bc322db8f011aa062021-11-28T12:19:19ZCluster analysis and profiling of airway fluid metabolites in pediatric acute hypoxemic respiratory failure10.1038/s41598-021-02354-42045-2322https://doaj.org/article/21c9b9db24a246c3bc322db8f011aa062021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-02354-4https://doaj.org/toc/2045-2322Abstract Hierarchal clustering of amino acid metabolites may identify a metabolic signature in children with pediatric acute hypoxemic respiratory failure. Seventy-four immunocompetent children, 41 (55.4%) with pediatric acute respiratory distress syndrome (PARDS), who were between 2 days to 18 years of age and within 72 h of intubation for acute hypoxemic respiratory failure, were enrolled. We used hierarchal clustering and partial least squares-discriminant analysis to profile the tracheal aspirate airway fluid using quantitative LC–MS/MS to explore clusters of metabolites that correlated with acute hypoxemia severity and ventilator-free days. Three clusters of children that differed by severity of hypoxemia and ventilator-free days were identified. Quantitative pathway enrichment analysis showed that cysteine and methionine metabolism, selenocompound metabolism, glycine, serine and threonine metabolism, arginine biosynthesis, and valine, leucine, and isoleucine biosynthesis were the top five enriched, impactful pathways. We identified three clusters of amino acid metabolites found in the airway fluid of intubated children important to acute hypoxemia severity that correlated with ventilator-free days < 21 days. Further studies are needed to validate our findings and to test our models.Jocelyn R. GrunwellMilad G. RadSusan T. StephensonAhmad F. MohammadCydney OpolkaAnne M. FitzpatrickRishikesan KamaleswaranNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Jocelyn R. Grunwell
Milad G. Rad
Susan T. Stephenson
Ahmad F. Mohammad
Cydney Opolka
Anne M. Fitzpatrick
Rishikesan Kamaleswaran
Cluster analysis and profiling of airway fluid metabolites in pediatric acute hypoxemic respiratory failure
description Abstract Hierarchal clustering of amino acid metabolites may identify a metabolic signature in children with pediatric acute hypoxemic respiratory failure. Seventy-four immunocompetent children, 41 (55.4%) with pediatric acute respiratory distress syndrome (PARDS), who were between 2 days to 18 years of age and within 72 h of intubation for acute hypoxemic respiratory failure, were enrolled. We used hierarchal clustering and partial least squares-discriminant analysis to profile the tracheal aspirate airway fluid using quantitative LC–MS/MS to explore clusters of metabolites that correlated with acute hypoxemia severity and ventilator-free days. Three clusters of children that differed by severity of hypoxemia and ventilator-free days were identified. Quantitative pathway enrichment analysis showed that cysteine and methionine metabolism, selenocompound metabolism, glycine, serine and threonine metabolism, arginine biosynthesis, and valine, leucine, and isoleucine biosynthesis were the top five enriched, impactful pathways. We identified three clusters of amino acid metabolites found in the airway fluid of intubated children important to acute hypoxemia severity that correlated with ventilator-free days < 21 days. Further studies are needed to validate our findings and to test our models.
format article
author Jocelyn R. Grunwell
Milad G. Rad
Susan T. Stephenson
Ahmad F. Mohammad
Cydney Opolka
Anne M. Fitzpatrick
Rishikesan Kamaleswaran
author_facet Jocelyn R. Grunwell
Milad G. Rad
Susan T. Stephenson
Ahmad F. Mohammad
Cydney Opolka
Anne M. Fitzpatrick
Rishikesan Kamaleswaran
author_sort Jocelyn R. Grunwell
title Cluster analysis and profiling of airway fluid metabolites in pediatric acute hypoxemic respiratory failure
title_short Cluster analysis and profiling of airway fluid metabolites in pediatric acute hypoxemic respiratory failure
title_full Cluster analysis and profiling of airway fluid metabolites in pediatric acute hypoxemic respiratory failure
title_fullStr Cluster analysis and profiling of airway fluid metabolites in pediatric acute hypoxemic respiratory failure
title_full_unstemmed Cluster analysis and profiling of airway fluid metabolites in pediatric acute hypoxemic respiratory failure
title_sort cluster analysis and profiling of airway fluid metabolites in pediatric acute hypoxemic respiratory failure
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/21c9b9db24a246c3bc322db8f011aa06
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