#AI reads Urine#Metabolomic fingerprints of clustered preterm and term neonates - the potential of metabolome-guided interventions

This pilot study aimed to identify adrenal steroid metabolomic clusters in neonates and correlate them with clinical outcomes. From June 2021 to July 2022, 50 neonates (12 early preterm, 18 late preterm, 20 full-term) with respiratory distress underwent 24-hour urine collection, and steroid profiles were analyzed by gas chromatography-mass spectrometry. K-means clustering identified three distinct metabolic clusters. Cluster 1 showed suppressed steroidogenesis, linked to higher risks of bronchopulmonary dysplasia, mortality, and small for gestational age/intrauterine growth restriction. Cluster 2 had adrenal hyperactivation with elevated cortisol derivatives, associated with increased risks of intraventricular hemorrhage and mortality. Cluster 3 exhibited robust steroidogenesis, featuring the lowest mortality and no cases of bronchopulmonary dysplasia or growth issues. The study highlights the potential of metabolome-guided interventions for neonatal care, suggesting that steroid metabolomic signatures can help stratify neonates and inform personalized treatments.

Front Endocrinol (Lausanne). 2025 May 16:16:1569355. doi: 10.3389/fendo.2025.1569355. eCollection 2025.

Miłosz Lorek 1 2, Teresa Joanna Stradomska 3, Anna Siejka 3, Janusz Fuchs 1, Dominika Januś 4, Aneta Gawlik-Starzyk 2

Youhe Gao

Statement: During the preparation of this work the author(s) used Doubao / AI reading for summarizing the content. After using this tool/service, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the content of the published article.

For earlier AI Reads Urine articles：

https://www.keaipublishing.com/en/journals/advances-in-biomarker-sciences-and-technology/ai-reads-urine/