Gestational age-specific metabolic biomarkers for early prediction of bronchopulmonary dysplasia following standardized enteral feeding.

Authors

Pingjiao Gu, Yang Yang, Jipeng Shi, Weiji Li, Qiaoyi Shao, Yiheng Dai

Published in

Journal of perinatology : official journal of the California Perinatal Association. Aug 03, 2026. Epub Aug 03, 2026.

Abstract

Early prediction of Bronchopulmonary dysplasia (BPD) remains challenging. Utilizing the NRN 2019 definition and a standardized feeding protocol, this study aimed to identify gestational age (GA)-specific metabolic signatures to optimize early prediction.
This retrospective study enrolled 455 preterm infants (GA < 32 weeks). Dried blood spots collected at ~14 days postnatal age following standardized nutritional management were analyzed for 83 metabolites via LC-MS/MS to construct GA-stratified predictive models.
Distinct GA-specific metabolic signatures involving specific amino acid and acylcarnitine alterations were identified. Incorporating these biomarkers significantly improved predictive models compared to baseline clinical models: the AUC increased from 0.765 to 0.852 in the GA < 28 weeks subgroup, and from 0.629 to 0.707 in the GA 28-31⁺⁶ weeks subgroup (both P < 0.05).
Post-standardized feeding metabolic profiling at 2 weeks captures distinct GA-specific alterations. Integrating these biomarkers with NRN 2019 criteria significantly enhances early BPD prediction, offering clinical utility for targeted risk stratification.

PMID:
42547526
Bibliographic data and abstract were imported from PubMed on 04 Aug 2026.

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