Evidence map›Paper›PMID 27755564›Full record

ArticlePloS one2016

Untargeted Metabolomic Analysis of Amniotic Fluid in the Prediction of Preterm Delivery and Bronchopulmonary Dysplasia.

Eugenio Baraldi, Giuseppe Giordano, Matteo Stocchero, Laura Moschino, Patrizia Zaramella, Maria Rosa Tran, Silvia Carraro, Roberto Romero, Maria Teresa Gervasi

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
5.9field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 89 citations in OpenAlex.

  1. Pooled it
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  5. Bronchopulmonary dysplasia and extremely preterm birth: time for a broader perspective on long-term outcomes.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
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  7. Observational
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  10. [Metabolomic alterations in preterm infants with bronchopulmonary dysplasia].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Eugenio BaraldiDepartment of Women's and Children's Health, University of Padova, Padova, Italy.
Giuseppe GiordanoDepartment of Women's and Children's Health, University of Padova, Padova, Italy.
Matteo StoccheroS-IN Soluzioni Informatiche, Vicenza, Italy.
Laura MoschinoDepartment of Women's and Children's Health, University of Padova, Padova, Italy.
Patrizia ZaramellaDepartment of Women's and Children's Health, University of Padova, Padova, Italy.
Maria Rosa TranDepartment of Women's and Children's Health, University of Padova, Padova, Italy.
Silvia CarraroDepartment of Women's and Children's Health, University of Padova, Padova, Italy.
Roberto RomeroPerinatology Research Branch, NICHD, NIH, DHHS, Wayne State University/Hutzel Women's Hospital, Detroit, United States of America.
Maria Teresa GervasiDepartment of Women's and Children's Health, University of Padova, Padova, Italy.
University of Padua · ITCittà della Speranza Foundation · ITWayne State University · US

Funding

Prenatal Diagnosis Of Congenital AnomaliesZIAHD002401 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI ROMERO, ROBERTO · 2009 to 2025
$81.1M
6 · The paper itself

Abstract

objectiveBronchopulmonary 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

designWe 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.

resultsOrthogonally 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: R2 = 0.47, mean AUC ROC in prediction = 0.65; positive ionization data set: R2 = 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: R2 = 0.48, mean AUC ROC in prediction = 0.73; positive data set: R2 = 0.55, mean AUC ROC in prediction = 0.71).

conclusionsThis 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.

Indexed as

MetabolomicsAmniotic FluidArea Under CurveBronchopulmonary DysplasiaChromatography, High Pressure LiquidDiscriminant AnalysisFemaleGestational AgeHumansInfant, NewbornLeast-Squares AnalysisMaleMass SpectrometryMetabolomePregnancyPremature Birth

Identifiers

PMID27755564
PMCPMC5068788
OpenAlexW2537912173

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.