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Urine metabolomics in neonates with late-onset sepsis in a case-control study
Although late-onset sepsis (LOS) is a major cause of neonatal morbidity and mortality, biomarkers evaluated in LOS lack high diagnostic accuracy. In this prospective, case-control, pilot study, we aimed to determine the metabolic profile of neonates with LOS. Urine samples were collected at the day...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379623/ https://www.ncbi.nlm.nih.gov/pubmed/28374757 http://dx.doi.org/10.1038/srep45506 |
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author | Sarafidis, Kosmas Chatziioannou, Anastasia Chrysovalantou Thomaidou, Agathi Gika, Helen Mikros, Emmanouel Benaki, Dimitra Diamanti, Elisavet Agakidis, Charalampos Raikos, Nikolaos Drossou, Vasiliki Theodoridis, Georgios |
author_facet | Sarafidis, Kosmas Chatziioannou, Anastasia Chrysovalantou Thomaidou, Agathi Gika, Helen Mikros, Emmanouel Benaki, Dimitra Diamanti, Elisavet Agakidis, Charalampos Raikos, Nikolaos Drossou, Vasiliki Theodoridis, Georgios |
author_sort | Sarafidis, Kosmas |
collection | PubMed |
description | Although late-onset sepsis (LOS) is a major cause of neonatal morbidity and mortality, biomarkers evaluated in LOS lack high diagnostic accuracy. In this prospective, case-control, pilot study, we aimed to determine the metabolic profile of neonates with LOS. Urine samples were collected at the day of initial LOS evaluation, the 3(rd) and 10(th) day, thereafter, from 16 septic neonates (9 confirmed and 7 possible LOS cases) and 16 non-septic ones (controls) at respective time points. Urine metabolic profiles were assessed using non-targeted nuclear magnetic resonance spectroscopy and targeted liquid chromatography-tandem mass spectrometry analysis. Multivariate statistical models with data from either analytical approach showed clear separation between the metabolic profiles of septic neonates (both possible and confirmed) and the controls. Metabolic changes appeared to be related to disease progression. Overall, neonates with confirmed or possible LOS exhibited comparable metabolic profiles indicating similar metabolic alternations upon the onset of clinical manifestations. This methodology therefore enabled the discrimination of neonates with LOS from non-septic individuals, providing potential for further research toward the discovery of LOS-related biomarkers. |
format | Online Article Text |
id | pubmed-5379623 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53796232017-04-07 Urine metabolomics in neonates with late-onset sepsis in a case-control study Sarafidis, Kosmas Chatziioannou, Anastasia Chrysovalantou Thomaidou, Agathi Gika, Helen Mikros, Emmanouel Benaki, Dimitra Diamanti, Elisavet Agakidis, Charalampos Raikos, Nikolaos Drossou, Vasiliki Theodoridis, Georgios Sci Rep Article Although late-onset sepsis (LOS) is a major cause of neonatal morbidity and mortality, biomarkers evaluated in LOS lack high diagnostic accuracy. In this prospective, case-control, pilot study, we aimed to determine the metabolic profile of neonates with LOS. Urine samples were collected at the day of initial LOS evaluation, the 3(rd) and 10(th) day, thereafter, from 16 septic neonates (9 confirmed and 7 possible LOS cases) and 16 non-septic ones (controls) at respective time points. Urine metabolic profiles were assessed using non-targeted nuclear magnetic resonance spectroscopy and targeted liquid chromatography-tandem mass spectrometry analysis. Multivariate statistical models with data from either analytical approach showed clear separation between the metabolic profiles of septic neonates (both possible and confirmed) and the controls. Metabolic changes appeared to be related to disease progression. Overall, neonates with confirmed or possible LOS exhibited comparable metabolic profiles indicating similar metabolic alternations upon the onset of clinical manifestations. This methodology therefore enabled the discrimination of neonates with LOS from non-septic individuals, providing potential for further research toward the discovery of LOS-related biomarkers. Nature Publishing Group 2017-04-04 /pmc/articles/PMC5379623/ /pubmed/28374757 http://dx.doi.org/10.1038/srep45506 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Sarafidis, Kosmas Chatziioannou, Anastasia Chrysovalantou Thomaidou, Agathi Gika, Helen Mikros, Emmanouel Benaki, Dimitra Diamanti, Elisavet Agakidis, Charalampos Raikos, Nikolaos Drossou, Vasiliki Theodoridis, Georgios Urine metabolomics in neonates with late-onset sepsis in a case-control study |
title | Urine metabolomics in neonates with late-onset sepsis in a case-control study |
title_full | Urine metabolomics in neonates with late-onset sepsis in a case-control study |
title_fullStr | Urine metabolomics in neonates with late-onset sepsis in a case-control study |
title_full_unstemmed | Urine metabolomics in neonates with late-onset sepsis in a case-control study |
title_short | Urine metabolomics in neonates with late-onset sepsis in a case-control study |
title_sort | urine metabolomics in neonates with late-onset sepsis in a case-control study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379623/ https://www.ncbi.nlm.nih.gov/pubmed/28374757 http://dx.doi.org/10.1038/srep45506 |
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