#AI reads Urine#Maternal urinary metabolomic signatures preceding spontaneous preterm birth

This is a pilot study on spontaneous preterm birth. Researchers selected 30 pregnant women suspected of imminent preterm birth, dividing them into three groups based on their final delivery outcomes: spontaneous preterm birth without chorioamnionitis, spontaneous preterm birth with chorioamnionitis, and term delivery. They collected urine samples from the women upon admission before any treatment and analyzed the signaling lipids and other metabolites using liquid chromatography-tandem mass spectrometry. The study found that the preterm group had lower levels of lipoxygenase- and cytochrome P450-derived oxylipins in their urine, indicating impaired inflammation resolution. Additionally, 8,9-dihydroxyeicosatrienoic acid and 9-hydroxyoctadecadienoic acid emerged as potential etiology-independent biomarkers. Non-infectious preterm birth was dominated by oxidative stress, while infectious preterm birth was characterized by inflammatory cascades. A predictive model combining 9-hydroxyoctadecadienoic acid and vaginal discharge showed high accuracy in distinguishing between preterm and term deliveries. This study provides a non-invasive tool and new insights for the pathophysiological research and risk prediction of spontaneous preterm birth.

Sci Rep. 2025 Dec 4. doi: 10.1038/s41598-025-28436-1.

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/