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Metabolite profiles associated with disease progression in influenza infection

BACKGROUND: We performed metabolomic profiling to identify metabolites that correlate with disease progression and death. METHODS: We performed a study of adults hospitalized with Influenza A(H1N1)pdm09. Cases (n = 32) were defined by a composite outcome of death or transfer to the intensive care un...

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Autores principales: Wendt, Chris H., Castro-Pearson, Sandra, Proper, Jennifer, Pett, Sarah, Griffin, Timothy J., Kan, Virginia, Carbone, Javier, Koulouris, Nikolaos, Reilly, Cavan, Neaton, James D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8018623/
https://www.ncbi.nlm.nih.gov/pubmed/33798209
http://dx.doi.org/10.1371/journal.pone.0247493
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author Wendt, Chris H.
Castro-Pearson, Sandra
Proper, Jennifer
Pett, Sarah
Griffin, Timothy J.
Kan, Virginia
Carbone, Javier
Koulouris, Nikolaos
Reilly, Cavan
Neaton, James D.
author_facet Wendt, Chris H.
Castro-Pearson, Sandra
Proper, Jennifer
Pett, Sarah
Griffin, Timothy J.
Kan, Virginia
Carbone, Javier
Koulouris, Nikolaos
Reilly, Cavan
Neaton, James D.
author_sort Wendt, Chris H.
collection PubMed
description BACKGROUND: We performed metabolomic profiling to identify metabolites that correlate with disease progression and death. METHODS: We performed a study of adults hospitalized with Influenza A(H1N1)pdm09. Cases (n = 32) were defined by a composite outcome of death or transfer to the intensive care unit during the 60-day follow-up period. Controls (n = 64) were survivors who did not require transfer to the ICU. Four hundred and eight metabolites from eight families were measured on plasma sample at enrollment using a mass spectrometry based Biocrates platform. Conditional logistic regression was used to summarize the association of the individual metabolites and families with the composite outcome and its major two components. RESULTS: The ten metabolites with the strongest association with disease progression belonged to five different metabolite families with sphingolipids being the most common. The acylcarnitines, glycerides, sphingolipids and biogenic metabolite families had the largest odds ratios based on the composite endpoint. The tryptophan odds ratio for the composite is largely associated with death (OR 17.33: 95% CI, 1.60–187.76). CONCLUSIONS: Individuals that develop disease progression when infected with Influenza H1N1 have a metabolite signature that differs from survivors. Low levels of tryptophan had a strong association with death. REGISTRY: ClinicalTrials.gov Identifier: NCT01056185
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spelling pubmed-80186232021-04-13 Metabolite profiles associated with disease progression in influenza infection Wendt, Chris H. Castro-Pearson, Sandra Proper, Jennifer Pett, Sarah Griffin, Timothy J. Kan, Virginia Carbone, Javier Koulouris, Nikolaos Reilly, Cavan Neaton, James D. PLoS One Research Article BACKGROUND: We performed metabolomic profiling to identify metabolites that correlate with disease progression and death. METHODS: We performed a study of adults hospitalized with Influenza A(H1N1)pdm09. Cases (n = 32) were defined by a composite outcome of death or transfer to the intensive care unit during the 60-day follow-up period. Controls (n = 64) were survivors who did not require transfer to the ICU. Four hundred and eight metabolites from eight families were measured on plasma sample at enrollment using a mass spectrometry based Biocrates platform. Conditional logistic regression was used to summarize the association of the individual metabolites and families with the composite outcome and its major two components. RESULTS: The ten metabolites with the strongest association with disease progression belonged to five different metabolite families with sphingolipids being the most common. The acylcarnitines, glycerides, sphingolipids and biogenic metabolite families had the largest odds ratios based on the composite endpoint. The tryptophan odds ratio for the composite is largely associated with death (OR 17.33: 95% CI, 1.60–187.76). CONCLUSIONS: Individuals that develop disease progression when infected with Influenza H1N1 have a metabolite signature that differs from survivors. Low levels of tryptophan had a strong association with death. REGISTRY: ClinicalTrials.gov Identifier: NCT01056185 Public Library of Science 2021-04-02 /pmc/articles/PMC8018623/ /pubmed/33798209 http://dx.doi.org/10.1371/journal.pone.0247493 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Wendt, Chris H.
Castro-Pearson, Sandra
Proper, Jennifer
Pett, Sarah
Griffin, Timothy J.
Kan, Virginia
Carbone, Javier
Koulouris, Nikolaos
Reilly, Cavan
Neaton, James D.
Metabolite profiles associated with disease progression in influenza infection
title Metabolite profiles associated with disease progression in influenza infection
title_full Metabolite profiles associated with disease progression in influenza infection
title_fullStr Metabolite profiles associated with disease progression in influenza infection
title_full_unstemmed Metabolite profiles associated with disease progression in influenza infection
title_short Metabolite profiles associated with disease progression in influenza infection
title_sort metabolite profiles associated with disease progression in influenza infection
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8018623/
https://www.ncbi.nlm.nih.gov/pubmed/33798209
http://dx.doi.org/10.1371/journal.pone.0247493
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