Evidence map›Paper›PMID 42125926›Full record

ArticlePediatric pulmonology2026

Urine Metabolomics to Predict Bronchopulmonary Dysplasia: A Single-Center Prospective Study.

Lauren Strauch, Patrick Lang, Zoya Cheema, Caitlyn Winter, Leah May, Halina Ramamurthy, Vanessa Trivino, Bryan McOmber, Kartikeya Makker, Jordan Kuiper and 5 more

Abstract read
In one paragraph

Article in Pediatric pulmonology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

15 authors.

Lauren StrauchDepartment of Pediatrics, University of Texas Health at San Antonio, San Antonio, TX, USA.
Patrick LangDepartment of Pediatrics, University of Texas Health at San Antonio, San Antonio, TX, USA.
Zoya CheemaDepartment of Pediatrics, University of Texas Health at San Antonio, San Antonio, TX, USA.
Caitlyn WinterDepartment of Pediatrics, University of Texas Health at San Antonio, San Antonio, TX, USA.
Leah MayDepartment of Pediatrics, University of Texas Health at San Antonio, San Antonio, TX, USA.
Halina RamamurthyDepartment of Pediatrics, University of Texas Health at San Antonio, San Antonio, TX, USA.
Vanessa TrivinoDepartment of Pediatrics, University of Texas Health at San Antonio, San Antonio, TX, USA.
Bryan McOmberDepartment of Pediatrics, University of Texas Health at San Antonio, San Antonio, TX, USA.
Kartikeya MakkerDepartment of Pediatrics, Johns Hopkins University, Baltimore, MD, USA.
Jordan KuiperDepartment of Environmental and Occupational Health, George Washington University, Washington DC, USA.
Khyzer AzizDepartment of Pediatrics, Johns Hopkins University, Baltimore, MD, USA.
Sarim RizviDepartment of Pediatrics, University of Texas Health at San Antonio, San Antonio, TX, USA.
Lois RandolphDepartment of Pediatrics, University of Texas Health at San Antonio, San Antonio, TX, USA.
Shamimunisa B MustafaDepartment of Pediatrics, University of Texas Health at San Antonio, San Antonio, TX, USA.
Alvaro MoreiraDepartment of Pediatrics, University of Texas Health at San Antonio, San Antonio, TX, USA.

Funding

Translational Approaches to Health Disparities in Lung, Sleep, and PandemicsR25HL126140 · NHLBI · UNIVERSITY OF ARIZONA · PI FRANCISCO A MORENO, JANKO Z. NIKOLICH · 2014 to 2026
$4.6M
Genomic determinants of bronchopulmonary dysplasia development in humans and an animal modelK23HD101701 · NICHD · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI MOREIRA, ALVARO G · 2021 to 2024
$652k
National Institute of Child Health and Human Development K23HD101701NHLBI NIH HHS 5R25HL126140-06 SubawardNHLBI NIH HHS R25 HL126140NICHD NIH HHS K23 HD101701Parker B Francis
6 · The paper itself

Abstract

backgroundBronchopulmonary dysplasia (BPD) remains a major cause of morbidity in extremely preterm infants, yet early prediction remains limited using clinical factors alone. Urine is a non-invasive and routinely available specimen in the NICU, making it well suited for early biomarker discovery.

objectiveTo determine whether urinary metabolites collected on day of life five can predict BPD development in preterm neonates and to identify associated metabolic pathways. STUDY

designIn this prospective single-center study, urine samples collected on day of life five from preterm infants were analyzed using liquid chromatography-mass spectrometry-based metabolomics. A multivariable modeling approach integrating urinary metabolites with clinical features was used to identify metabolic patterns associated with subsequent BPD development. Model performance was assessed using area under the receiver operating characteristic curve (AUC).

resultsEarly urinary metabolomic profiling identified a multivariate metabolic signature associated with later BPD development (40.9% of infants; n = 44). The integrated clinical-metabolic model demonstrated good predictive performance (AUC = 0.805) using a limited number of metabolites and clinical variables. Key metabolic pathways implicated included purine metabolism, oxidative stress, and amino acid degradation, consistent with known mechanisms of lung injury in prematurity.

conclusionA single urine sample collected early in life can provide clinically meaningful information about BPD risk. These findings support the feasibility of urine-based, non-invasive metabolic profiling as a complement to existing clinical risk assessment tools. Larger, multicenter studies are needed to validate these findings and define their role in clinical care.

Indexed as

Bronchopulmonary DysplasiaMetabolomicsBiomarkersChromatography, LiquidFemaleHumansInfant, Extremely PrematureInfant, NewbornInfant, PrematureMaleMass SpectrometryPredictive Value of TestsProspective StudiesROC CurveBiomarkersbioinformaticschronic lung diseasepreterm neonates

Identifiers

PMID42125926
PMCPMC13383976

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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.