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Urine metabolomic profiling of children with respiratory tract infections in the emergency department: a pilot study
BACKGROUND: Clinicians lack objective tests to help determine the severity of bronchiolitis or to distinguish a viral from bacterial causes of respiratory distress. We hypothesized that children with respiratory syncytial virus (RSV) infection would have a different metabolomic profile compared to t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4994221/ https://www.ncbi.nlm.nih.gov/pubmed/27549246 http://dx.doi.org/10.1186/s12879-016-1709-6 |
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author | Adamko, Darryl J. Saude, Erik Bear, Matthew Regush, Shana Robinson, Joan L. |
author_facet | Adamko, Darryl J. Saude, Erik Bear, Matthew Regush, Shana Robinson, Joan L. |
author_sort | Adamko, Darryl J. |
collection | PubMed |
description | BACKGROUND: Clinicians lack objective tests to help determine the severity of bronchiolitis or to distinguish a viral from bacterial causes of respiratory distress. We hypothesized that children with respiratory syncytial virus (RSV) infection would have a different metabolomic profile compared to those with bacterial infection or healthy controls, and this might also vary with bronchiolitis severity. METHODS: Clinical information and urine-based metabolomic data were collected from healthy age-matched children (n = 37) and those admitted to hospital with a proven infection (RSV n = 55; Non-RSV viral n = 16; bacterial n = 24). Nuclear magnetic resonance (NMR) measured 86 metabolites per urine sample. Partial least squares discriminant analysis (PLS-DA) was performed to create models of separation. RESULTS: Using a combination of metabolites, a strong PLS-DA model (R2 = 0.86, Q2 = 0.76) was created differentiating healthy children from those with RSV infection. This model had over 90 % accuracy in classifying blinded infants with similar illness severity. Two other models differentiated length of hospitalization and viral versus bacterial infection. CONCLUSION: While the sample sizes remain small, this is the first report suggesting that metabolomic analysis of urine samples has the potential to become a diagnostic aid. Future studies with larger sample sizes are required to validate the utility of metabolomics in pediatric patients with respiratory distress. |
format | Online Article Text |
id | pubmed-4994221 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-49942212016-08-31 Urine metabolomic profiling of children with respiratory tract infections in the emergency department: a pilot study Adamko, Darryl J. Saude, Erik Bear, Matthew Regush, Shana Robinson, Joan L. BMC Infect Dis Research Article BACKGROUND: Clinicians lack objective tests to help determine the severity of bronchiolitis or to distinguish a viral from bacterial causes of respiratory distress. We hypothesized that children with respiratory syncytial virus (RSV) infection would have a different metabolomic profile compared to those with bacterial infection or healthy controls, and this might also vary with bronchiolitis severity. METHODS: Clinical information and urine-based metabolomic data were collected from healthy age-matched children (n = 37) and those admitted to hospital with a proven infection (RSV n = 55; Non-RSV viral n = 16; bacterial n = 24). Nuclear magnetic resonance (NMR) measured 86 metabolites per urine sample. Partial least squares discriminant analysis (PLS-DA) was performed to create models of separation. RESULTS: Using a combination of metabolites, a strong PLS-DA model (R2 = 0.86, Q2 = 0.76) was created differentiating healthy children from those with RSV infection. This model had over 90 % accuracy in classifying blinded infants with similar illness severity. Two other models differentiated length of hospitalization and viral versus bacterial infection. CONCLUSION: While the sample sizes remain small, this is the first report suggesting that metabolomic analysis of urine samples has the potential to become a diagnostic aid. Future studies with larger sample sizes are required to validate the utility of metabolomics in pediatric patients with respiratory distress. BioMed Central 2016-08-22 /pmc/articles/PMC4994221/ /pubmed/27549246 http://dx.doi.org/10.1186/s12879-016-1709-6 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Adamko, Darryl J. Saude, Erik Bear, Matthew Regush, Shana Robinson, Joan L. Urine metabolomic profiling of children with respiratory tract infections in the emergency department: a pilot study |
title | Urine metabolomic profiling of children with respiratory tract infections in the emergency department: a pilot study |
title_full | Urine metabolomic profiling of children with respiratory tract infections in the emergency department: a pilot study |
title_fullStr | Urine metabolomic profiling of children with respiratory tract infections in the emergency department: a pilot study |
title_full_unstemmed | Urine metabolomic profiling of children with respiratory tract infections in the emergency department: a pilot study |
title_short | Urine metabolomic profiling of children with respiratory tract infections in the emergency department: a pilot study |
title_sort | urine metabolomic profiling of children with respiratory tract infections in the emergency department: a pilot study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4994221/ https://www.ncbi.nlm.nih.gov/pubmed/27549246 http://dx.doi.org/10.1186/s12879-016-1709-6 |
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