Details

Autor(en) / Beteiligte

• Grant, LK
• Ftouni, S
• Nijagal, B
• De Souza, D
• 
Rajaratnam, SW
• Lockley, SW
• Anderson, C

Titel

0007 CIRCADIAN AND WAKE-DEPENDENT CHANGES IN THE HUMAN PLASMA METABOLOME

Ist Teil von

• Sleep (New York, N.Y.), 2017-04, Vol.40 (suppl_1), p.A3-A3

Ort / Verlag

US: Oxford University Press

Erscheinungsjahr

2017

Link zum Volltext

Quelle

Oxford Journals 2020 Medicine

Beschreibungen/Notizen

• Abstract Introduction: Several studies, using group level analyses, have identified plasma metabolites that display 24-hour rhythms and/or change with time awake. Inter-individual differences in these patterns have not been examined in detail, however. The aim of the current study was to assess endogenous self-sustained circadian rhythms and wake-dependent changes in the human plasma metabolome under highly controlled conditions. Methods: Thirteen healthy participants aged 20–32 years (9 males) were studied during a 40h constant routine (CR). Four-hourly plasma samples were analyzed using hydrophilic interaction liquid chromatography coupled with mass spectrometry (HILIC/MS) in order to conduct an untargeted analysis of polar metabolites. Data were fitted with a non-linear regression model which consisted of a cosinor function with a linear component. Results: We found that ~40% of metabolites (~700) showed a significant circadian rhythm at the group level. Of these, ~25% had an acrophase (peak time) that occurred during the biological night. Approximately 10% of metabolites (~140) had a significant linear component, and of these ~35% increased with time awake. Overall, ~60 metabolites (3%) showed both a significant circadian and wake-dependent component. Between individuals, there was only a modest overlap in the consistency of metabolite patterns; none of the metabolites showed significant changes across all participants and only a small proportion of metabolites were consistently rhythmic (~130, ~10%) or wake-dependent (~40, ~2%) in approximately half of the group. Conclusion: These findings extend previous work identifying circadian- and wake-dependent changes in the human plasma metabolome. Once individual metabolites and their metabolic pathways are identified, we will test their utility in predicting the impact of circadian phase and sleep loss. Understanding the role of the circadian clock and the effects of sleep deprivation on the human metabolome, particularly at the individual-level, will be an important step in understanding the relationship between sleep and circadian disruption and metabolic health outcomes. Support (If Any): The study was supported by the Cooperative Research Centre for Alertness, Safety and Productivity.