Observational studyJournal of sleep research2026
Urinary Metabolomic Profiling in Obstructive Sleep Apnoea Hypopnoea Syndrome.
Observational study in Journal of sleep research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
- Recent advances in the bioanalysis of acylcarnitines: Methodologies, challenges, and clinical perspectives.Pharmaceutical science advances · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We examined the urinary metabolome of those with obstructive sleep apnoea hypopnoea syndrome (OSAHS), and how continuous positive airway pressure (CPAP) affects it. We compared it with their non-OSAHS counterparts to identify any distinguishing biomarkers that could be used to diagnose and monitor, as well as highlight those at increased cardiometabolic risk. Observational, prospective and longitudinal study including 70 consecutive attenders referred to our sleep service. OSAHS was defined as apnoea-hypopnoea index ≥ 15 events/h and Epworth sleepiness score (ESS) > 10. Patients treated with CPAP were followed up 6-10 weeks following treatment set-up. Untargeted urinary metabolomic profiling was performed using high-throughput flow-infusion electrospray high-resolution mass spectrometry (FIE-MS). A panel of metabolites was identified (mainly glycerophospholipids, acylcarnitines and fatty acids), with a single metabolite, octadecanamide, being able to differentiate between OSAHS and non-OSAHS with an accuracy (95% CI) of 0.86 [0.76-0.93]. Levels of the panel of metabolites were significantly lower with CPAP, with the effect on 2-anilino-6-cyclohexylmethoxypurine (a hypoxanthine) being particularly marked (AUC 0.93 [0.858-0.971]). Metabolomics in urine offers a promising and non-invasive way to differentiate and diagnose OSAHS from non-OSAHS, while identifying pathways activated by chronic intermittent hypoxia, oxidative stress and inflammation. Correlation of these key metabolites with the known cardiometabolic consequences of OSAHS could potentially highlight those at an increased risk of adverse complications and provide areas for future personalised targeted treatments that CPAP is unable to impact currently, whilst also being a surrogate marker of treatment compliance.
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Registered trials
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