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Urinary metabolomic analysis to identify preterm neonates exposed to histological chorioamnionitis: A pilot study

OBJECTIVE: Chorioamnionitis is a leading cause of preterm birth worldwide, with higher incidence at lower gestational ages. An early and reliable diagnosis of histological chorioamnionitis (HCA) in preterm infants may be helpful in guiding postnatal management, especially the administration of proph...

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Autores principales: Fattuoni, Claudia, Pietrasanta, Carlo, Pugni, Lorenza, Ronchi, Andrea, Palmas, Francesco, Barberini, Luigi, Dessì, Angelica, Pintus, Roberta, Fanos, Vassilios, Noto, Antonio, Mosca, Fabio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5718427/
https://www.ncbi.nlm.nih.gov/pubmed/29211784
http://dx.doi.org/10.1371/journal.pone.0189120
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author Fattuoni, Claudia
Pietrasanta, Carlo
Pugni, Lorenza
Ronchi, Andrea
Palmas, Francesco
Barberini, Luigi
Dessì, Angelica
Pintus, Roberta
Fanos, Vassilios
Noto, Antonio
Mosca, Fabio
author_facet Fattuoni, Claudia
Pietrasanta, Carlo
Pugni, Lorenza
Ronchi, Andrea
Palmas, Francesco
Barberini, Luigi
Dessì, Angelica
Pintus, Roberta
Fanos, Vassilios
Noto, Antonio
Mosca, Fabio
author_sort Fattuoni, Claudia
collection PubMed
description OBJECTIVE: Chorioamnionitis is a leading cause of preterm birth worldwide, with higher incidence at lower gestational ages. An early and reliable diagnosis of histological chorioamnionitis (HCA) in preterm infants may be helpful in guiding postnatal management, especially the administration of prophylactic antibiotics to prevent early-onset sepsis. The main aim of this study was to investigate metabolomic analysis of urines collected in the first 24 hours of life as diagnostic tool of HCA. METHODS: Gestational age-, birth weight-, delivery mode- and sex- matched (1:2) preterm neonates (< 35 weeks’ gestation) born to mothers with or without HCA were enrolled from an observational study. Gas chromatography-mass spectrometry (GC-MS)-based metabolomic analysis was performed on urine samples non-invasively collected in the first 24 hours of life. Univariate analysis, partial least square discriminant analysis (PLS-DA) and its associated variable importance in projection (VIP) score were performed. The most affected metabolic pathways were examined by Metabolite Sets Enrichment Analysis (MSEA). RESULTS: Fifteen cases (mean GA 30.2 ± 3.8 weeks, mean BW 1415 ± 471.9 grams) and 30 controls (mean GA 30.2 ± 2.9 weeks, mean BW 1426 ± 569.8 grams) were enrolled. Following univariate analysis, 29 metabolites had a significantly different concentration between cases and controls. The supervised PLS-DA model confirmed a separation between the two groups. Only gluconic acid, an oxidation product of glucose, was higher in cases than in controls. All other VIP metabolites were more abundant in the control group. Glutamate metabolism, mitochondrial electron transport chain, citric acid cycle, galactose metabolism, and fructose and mannose degradation metabolism were the most significantly altered pathways (P < 0.01). CONCLUSIONS: For the first time, urinary metabolomics was able to discriminate neonates born to mothers with and without HCA. The identification of specifically altered metabolic pathways may be helpful in understanding metabolic derangement following chorioamnionitis.
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spelling pubmed-57184272017-12-15 Urinary metabolomic analysis to identify preterm neonates exposed to histological chorioamnionitis: A pilot study Fattuoni, Claudia Pietrasanta, Carlo Pugni, Lorenza Ronchi, Andrea Palmas, Francesco Barberini, Luigi Dessì, Angelica Pintus, Roberta Fanos, Vassilios Noto, Antonio Mosca, Fabio PLoS One Research Article OBJECTIVE: Chorioamnionitis is a leading cause of preterm birth worldwide, with higher incidence at lower gestational ages. An early and reliable diagnosis of histological chorioamnionitis (HCA) in preterm infants may be helpful in guiding postnatal management, especially the administration of prophylactic antibiotics to prevent early-onset sepsis. The main aim of this study was to investigate metabolomic analysis of urines collected in the first 24 hours of life as diagnostic tool of HCA. METHODS: Gestational age-, birth weight-, delivery mode- and sex- matched (1:2) preterm neonates (< 35 weeks’ gestation) born to mothers with or without HCA were enrolled from an observational study. Gas chromatography-mass spectrometry (GC-MS)-based metabolomic analysis was performed on urine samples non-invasively collected in the first 24 hours of life. Univariate analysis, partial least square discriminant analysis (PLS-DA) and its associated variable importance in projection (VIP) score were performed. The most affected metabolic pathways were examined by Metabolite Sets Enrichment Analysis (MSEA). RESULTS: Fifteen cases (mean GA 30.2 ± 3.8 weeks, mean BW 1415 ± 471.9 grams) and 30 controls (mean GA 30.2 ± 2.9 weeks, mean BW 1426 ± 569.8 grams) were enrolled. Following univariate analysis, 29 metabolites had a significantly different concentration between cases and controls. The supervised PLS-DA model confirmed a separation between the two groups. Only gluconic acid, an oxidation product of glucose, was higher in cases than in controls. All other VIP metabolites were more abundant in the control group. Glutamate metabolism, mitochondrial electron transport chain, citric acid cycle, galactose metabolism, and fructose and mannose degradation metabolism were the most significantly altered pathways (P < 0.01). CONCLUSIONS: For the first time, urinary metabolomics was able to discriminate neonates born to mothers with and without HCA. The identification of specifically altered metabolic pathways may be helpful in understanding metabolic derangement following chorioamnionitis. Public Library of Science 2017-12-06 /pmc/articles/PMC5718427/ /pubmed/29211784 http://dx.doi.org/10.1371/journal.pone.0189120 Text en © 2017 Fattuoni et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Fattuoni, Claudia
Pietrasanta, Carlo
Pugni, Lorenza
Ronchi, Andrea
Palmas, Francesco
Barberini, Luigi
Dessì, Angelica
Pintus, Roberta
Fanos, Vassilios
Noto, Antonio
Mosca, Fabio
Urinary metabolomic analysis to identify preterm neonates exposed to histological chorioamnionitis: A pilot study
title Urinary metabolomic analysis to identify preterm neonates exposed to histological chorioamnionitis: A pilot study
title_full Urinary metabolomic analysis to identify preterm neonates exposed to histological chorioamnionitis: A pilot study
title_fullStr Urinary metabolomic analysis to identify preterm neonates exposed to histological chorioamnionitis: A pilot study
title_full_unstemmed Urinary metabolomic analysis to identify preterm neonates exposed to histological chorioamnionitis: A pilot study
title_short Urinary metabolomic analysis to identify preterm neonates exposed to histological chorioamnionitis: A pilot study
title_sort urinary metabolomic analysis to identify preterm neonates exposed to histological chorioamnionitis: a pilot study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5718427/
https://www.ncbi.nlm.nih.gov/pubmed/29211784
http://dx.doi.org/10.1371/journal.pone.0189120
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