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Untargeted Metabolomic Analysis of Amniotic Fluid in the Prediction of Preterm Delivery and Bronchopulmonary Dysplasia
OBJECTIVE: Bronchopulmonary dysplasia (BPD) is a serious complication associated with preterm birth. A growing body of evidence suggests a role for prenatal factors in its pathogenesis. Metabolomics allows simultaneous characterization of low molecular weight compounds and may provide a picture of s...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5068788/ https://www.ncbi.nlm.nih.gov/pubmed/27755564 http://dx.doi.org/10.1371/journal.pone.0164211 |
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author | Baraldi, Eugenio Giordano, Giuseppe Stocchero, Matteo Moschino, Laura Zaramella, Patrizia Tran, Maria Rosa Carraro, Silvia Romero, Roberto Gervasi, Maria Teresa |
author_facet | Baraldi, Eugenio Giordano, Giuseppe Stocchero, Matteo Moschino, Laura Zaramella, Patrizia Tran, Maria Rosa Carraro, Silvia Romero, Roberto Gervasi, Maria Teresa |
author_sort | Baraldi, Eugenio |
collection | PubMed |
description | OBJECTIVE: Bronchopulmonary dysplasia (BPD) is a serious complication associated with preterm birth. A growing body of evidence suggests a role for prenatal factors in its pathogenesis. Metabolomics allows simultaneous characterization of low molecular weight compounds and may provide a picture of such a complex condition. The aim of this study was to evaluate whether an unbiased metabolomic analysis of amniotic fluid (AF) can be used to investigate the risk of spontaneous preterm delivery (PTD) and BPD development in the offspring. STUDY DESIGN: We conducted an exploratory study on 32 infants born from mothers who had undergone an amniocentesis between 21 and 28 gestational weeks because of spontaneous preterm labor with intact membranes. The AF samples underwent untargeted metabolomic analysis using mass spectrometry combined with ultra-performance liquid chromatography. The data obtained were analyzed using multivariate and univariate statistical data analysis tools. RESULTS: Orthogonally Constrained Projection to Latent Structures-Discriminant Analysis (oCPLS2-DA) excluded effects on data modelling of crucial clinical variables. oCPLS2-DA was able to find unique differences in select metabolites between term (n = 11) and preterm (n = 13) deliveries (negative ionization data set: R(2) = 0.47, mean AUC ROC in prediction = 0.65; positive ionization data set: R(2) = 0.47, mean AUC ROC in prediction = 0.70), and between PTD followed by the development of BPD (n = 10), and PTD without BPD (n = 11) (negative data set: R(2) = 0.48, mean AUC ROC in prediction = 0.73; positive data set: R(2) = 0.55, mean AUC ROC in prediction = 0.71). CONCLUSIONS: This study suggests that amniotic fluid metabolic profiling may be promising for identifying spontaneous preterm birth and fetuses at risk for developing BPD. These findings support the hypothesis that some prenatal metabolic dysregulations may play a key role in the pathogenesis of PTD and the development of BPD. |
format | Online Article Text |
id | pubmed-5068788 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-50687882016-10-27 Untargeted Metabolomic Analysis of Amniotic Fluid in the Prediction of Preterm Delivery and Bronchopulmonary Dysplasia Baraldi, Eugenio Giordano, Giuseppe Stocchero, Matteo Moschino, Laura Zaramella, Patrizia Tran, Maria Rosa Carraro, Silvia Romero, Roberto Gervasi, Maria Teresa PLoS One Research Article OBJECTIVE: Bronchopulmonary dysplasia (BPD) is a serious complication associated with preterm birth. A growing body of evidence suggests a role for prenatal factors in its pathogenesis. Metabolomics allows simultaneous characterization of low molecular weight compounds and may provide a picture of such a complex condition. The aim of this study was to evaluate whether an unbiased metabolomic analysis of amniotic fluid (AF) can be used to investigate the risk of spontaneous preterm delivery (PTD) and BPD development in the offspring. STUDY DESIGN: We conducted an exploratory study on 32 infants born from mothers who had undergone an amniocentesis between 21 and 28 gestational weeks because of spontaneous preterm labor with intact membranes. The AF samples underwent untargeted metabolomic analysis using mass spectrometry combined with ultra-performance liquid chromatography. The data obtained were analyzed using multivariate and univariate statistical data analysis tools. RESULTS: Orthogonally Constrained Projection to Latent Structures-Discriminant Analysis (oCPLS2-DA) excluded effects on data modelling of crucial clinical variables. oCPLS2-DA was able to find unique differences in select metabolites between term (n = 11) and preterm (n = 13) deliveries (negative ionization data set: R(2) = 0.47, mean AUC ROC in prediction = 0.65; positive ionization data set: R(2) = 0.47, mean AUC ROC in prediction = 0.70), and between PTD followed by the development of BPD (n = 10), and PTD without BPD (n = 11) (negative data set: R(2) = 0.48, mean AUC ROC in prediction = 0.73; positive data set: R(2) = 0.55, mean AUC ROC in prediction = 0.71). CONCLUSIONS: This study suggests that amniotic fluid metabolic profiling may be promising for identifying spontaneous preterm birth and fetuses at risk for developing BPD. These findings support the hypothesis that some prenatal metabolic dysregulations may play a key role in the pathogenesis of PTD and the development of BPD. Public Library of Science 2016-10-18 /pmc/articles/PMC5068788/ /pubmed/27755564 http://dx.doi.org/10.1371/journal.pone.0164211 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 Baraldi, Eugenio Giordano, Giuseppe Stocchero, Matteo Moschino, Laura Zaramella, Patrizia Tran, Maria Rosa Carraro, Silvia Romero, Roberto Gervasi, Maria Teresa Untargeted Metabolomic Analysis of Amniotic Fluid in the Prediction of Preterm Delivery and Bronchopulmonary Dysplasia |
title | Untargeted Metabolomic Analysis of Amniotic Fluid in the Prediction of Preterm Delivery and Bronchopulmonary Dysplasia |
title_full | Untargeted Metabolomic Analysis of Amniotic Fluid in the Prediction of Preterm Delivery and Bronchopulmonary Dysplasia |
title_fullStr | Untargeted Metabolomic Analysis of Amniotic Fluid in the Prediction of Preterm Delivery and Bronchopulmonary Dysplasia |
title_full_unstemmed | Untargeted Metabolomic Analysis of Amniotic Fluid in the Prediction of Preterm Delivery and Bronchopulmonary Dysplasia |
title_short | Untargeted Metabolomic Analysis of Amniotic Fluid in the Prediction of Preterm Delivery and Bronchopulmonary Dysplasia |
title_sort | untargeted metabolomic analysis of amniotic fluid in the prediction of preterm delivery and bronchopulmonary dysplasia |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5068788/ https://www.ncbi.nlm.nih.gov/pubmed/27755564 http://dx.doi.org/10.1371/journal.pone.0164211 |
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