ArticleScientific reports2016
Metabolomics Profiling for Obstructive Sleep Apnea and Simple Snorers.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.
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Who cites it
50 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Sleep and frailty risk: a systematic review and meta-analysis.Sleep & breathing = Schlaf & Atmung · 2020Pooled it
- Insufficient sleep and weekend recovery sleep: classification by a metabolomics-based machine learning ensemble.Scientific reports · 2023Trial
- Trial
- Metabolomic Profiling in Children with Sleep Disorders: An Exploratory Pilot Study.Journal of clinical medicine · 2026Article
- Urinary Metabolomic Profiling in Obstructive Sleep Apnoea Hypopnoea Syndrome.Journal of sleep research · 2026Observational
- Risk of hyperlactatemia in patients with obstructive sleep apnea receiving metformin: a cross-sectional study.Sleep & breathing = Schlaf & Atmung · 2025Article
- Correlation between gut microbiota and metabolomics under intermittent hypoxic conditions.BMC microbiology · 2025Article
- Alteration of Metabolic Profile in Patients with Narcolepsy Type 1.Metabolites · 2025Article
- Machine learning identifies potential diagnostic biomarkers associated with ferroptosis in obstructive sleep apnea.Experimental and therapeutic medicine · 2025Article
- Serum sphingomyelin levels define oxyhemoglobin desaturation-related metabolic threshold in symptomatic obstructive sleep apnea.Scientific reports · 2025Observational
- Exploring the pharmacological mechanisms for alleviating OSA: Adenosine A2A receptor downregulation of the PI3K/Akt/HIF‑1 pathway (Review).Biomedical reports · 2025Review
- Nitrogen waste metabolism as a locus of nitrergic co-transmission in the brain.Frontiers in behavioral neuroscience · 2025Review
- Review
- Gut microbiota changes in healthy individuals, obstructive sleep apnea patients, and patients treated using continuous positive airway pressure: a whole-genome metagenomic analysis.Sleep & breathing = Schlaf & Atmung · 2024Article
- Metabolomic profiles predict clinical severity in patients with obstructive sleep apnea-hypopnea syndrome.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024Article
- Untargeted Metabolome Atlas for Sleep Phenotypes in the Hispanic Community Health Study/Study of Latinos.medRxiv : the preprint server for health sciences · 2024Article
- Urinary Epinephrine Sulfate Can Predict Cardiovascular Risk in Moderate-to-Severe OSA: A Metabolomics-Based Study.Nature and science of sleep · 2024Article
- Sleep insufficiency, circadian rhythms, and metabolomics: the connection between metabolic and sleep disorders.Sleep & breathing = Schlaf & Atmung · 2023Review
- Causality Investigation between Gut Microbiota, Derived Metabolites, and Obstructive Sleep Apnea: A Bidirectional Mendelian Randomization Study.Nutrients · 2023Article
- Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Few clinical studies have explored altered urinary metabolite levels in patients with obstructive sleep apnea (OSA). Thus, we applied a metabolomics approach to analyze urinary metabolites in three groups of participants: patients with polysomnography (PSG)-confirmed OSA, simple snorers (SS), and normal subjects. Ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry and gas chromatography coupled with time-of-flight mass spectrometry were used. A total of 21 and 31 metabolites were differentially expressed in the SS and OSA groups, respectively. Patients with OSA had 18 metabolites different from those with SS. Of the 56 metabolites detected among the 3 groups, 24 were consistently higher or lower. A receiver operator curve analysis revealed that the combination of 4-hydroxypentenoic acid, arabinose, glycochenodeoxycholate-3-sulfate, isoleucine, serine, and xanthine produced a moderate diagnostic score with a sensitivity (specificity) of 75% (78%) for distinguishing OSA from those without OSA. The combination of 4-hydroxypentenoic acid, 5-dihydrotestosterone sulfate, serine, spermine, and xanthine distinguished OSA from SS with a sensitivity of 85% and specificity of 80%. Multiple metabolites and metabolic pathways associated with SS and OSA were identified using the metabolomics approach, and the altered metabolite signatures could potentially serve as an alternative diagnostic method to PSG.
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