Cargando…
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...
Autores principales: | , , , , , , , , , , |
---|---|
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 |
_version_ | 1783284319975899136 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5718427 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT fattuoniclaudia urinarymetabolomicanalysistoidentifypretermneonatesexposedtohistologicalchorioamnionitisapilotstudy AT pietrasantacarlo urinarymetabolomicanalysistoidentifypretermneonatesexposedtohistologicalchorioamnionitisapilotstudy AT pugnilorenza urinarymetabolomicanalysistoidentifypretermneonatesexposedtohistologicalchorioamnionitisapilotstudy AT ronchiandrea urinarymetabolomicanalysistoidentifypretermneonatesexposedtohistologicalchorioamnionitisapilotstudy AT palmasfrancesco urinarymetabolomicanalysistoidentifypretermneonatesexposedtohistologicalchorioamnionitisapilotstudy AT barberiniluigi urinarymetabolomicanalysistoidentifypretermneonatesexposedtohistologicalchorioamnionitisapilotstudy AT dessiangelica urinarymetabolomicanalysistoidentifypretermneonatesexposedtohistologicalchorioamnionitisapilotstudy AT pintusroberta urinarymetabolomicanalysistoidentifypretermneonatesexposedtohistologicalchorioamnionitisapilotstudy AT fanosvassilios urinarymetabolomicanalysistoidentifypretermneonatesexposedtohistologicalchorioamnionitisapilotstudy AT notoantonio urinarymetabolomicanalysistoidentifypretermneonatesexposedtohistologicalchorioamnionitisapilotstudy AT moscafabio urinarymetabolomicanalysistoidentifypretermneonatesexposedtohistologicalchorioamnionitisapilotstudy |