#AI reads Urine# Urinary Metabolomic Profiling in Obstructive Sleep Apnoea Hypopnoea Syndrome

This study analyzed the urinary metabolomics of patients with obstructive sleep apnoea hypopnoea syndrome and people without the syndrome, and found that a metabolite panel dominated by octadecanamide could distinguish between the two groups with high accuracy, with the diagnostic accuracy of octadecanamide alone reaching 0.86. Continuous positive airway pressure treatment could significantly alter the characteristics of urinary metabolomics in patients, especially reducing the level of 2-anilino-6-cyclohexylmethoxypurine, but it did not affect the core metabolites that distinguish obstructive sleep apnoea hypopnoea syndrome from non-obstructive sleep apnoea hypopnoea syndrome. The study confirmed that urinary metabolomics is a non-invasive and reliable tool for diagnosing obstructive sleep apnoea hypopnoea syndrome, evaluating its metabolic disorders and the therapeutic effect of continuous positive airway pressure. It can also provide a basis for identifying patients' cardiometabolic risks and developing personalized treatment plans.

J Sleep Res. 2026 Feb 2:e70271. doi: 10.1111/jsr.70271.

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/