ArticleMetabolomics : Official journal of the Metabolomic Society2024
Assessing the influence of sleep and sampling time on metabolites in oral fluid: implications for metabolomics studies.
Article in Metabolomics : Official journal of the Metabolomic Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Leveraging the Metabolic Fingerprint of Sleep Deprivation and Sleep Restriction for Forensic Applications: A Machine Learning Study in Oral Fluid Metabolomics.Journal of proteome research · 2026Article
- A comprehensive assessment of carbon monoxide caused mortality via bioinformatics assisted untargeted metabolomics analysis.Forensic science, medicine, and pathology · 2026Article
- Advancements and Challenges in Salivary Metabolomics for Early Detection and Monitoring of Systemic Diseases.MedComm · 2025Review
- Identification of Non-Invasive Diagnostic Markers for Oral Squamous Cell Carcinoma Through Salivary Microbiome and Gene Expression Analysis.International journal of molecular sciences · 2025Article
- Characteristics and influencing factors of gut microbiota in population with sleep disorders.Frontiers in microbiology · 2025Article
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Authors and funding
5 authors.
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Abstract
introductionThe human salivary metabolome is a rich source of information for metabolomics studies. Among other influences, individual differences in sleep-wake history and time of day may affect the metabolome.
objectivesWe aimed to characterize the influence of a single night of sleep deprivation compared to sufficient sleep on the metabolites present in oral fluid and to assess the implications of sampling time points for the design of metabolomics studies.
methodsOral fluid specimens of 13 healthy young males were obtained in Salivette
resultsAnalysis of variance results showed factor 'time' (i.e., sampling time point) representing the major influencer (median 9.24%, range 3.02-42.91%), surpassing the intervention of sleep deprivation (median 1.81%, range 0.19-12.46%). In addition, we found about 10% of all metabolic features to have significantly changed in at least one time point after a night of sleep deprivation when compared to 8 h of sleep.
conclusionThe majority of significant alterations in metabolites' abundances were found when sampled in the morning hours, which can lead to subsequent misinterpretations of experimental effects in metabolomics studies. Beyond applying a within-subject design with identical sample collection times, we highly recommend monitoring participants' sleep-wake schedules prior to and during experiments, even if the study focus is not sleep-related (e.g., via actigraphy).
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