Circulating metabolites associated with objectively measured sleep duration and sleep variability in overweight/obese participants: A metabolomics approach within the SATIN study
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Objectives: To investigate the associations of circulating metabolites with sleep duration and sleep variability. We also assessed the ability of metabolites to discriminate between sleep duration and sleep variability categories.
Methods: Cross-sectional analysis of 205 participants with overweight/obesity from the "Satiety Innovation" (SATIN) study. A targeted metabolite profiling (n = 159 metabolites) approach was applied using three different platforms (NMR, LC-MS, GC-MS). Associations between circulating metabolite concentrations and accelerometer-derived sleep duration and variability in sleep duration were assessed using elastic-net regression analysis. Ten-fold cross-validation was used to estimate the discriminative accuracy of metabolites for sleep duration, and sleep variability categories.
Results: A metabolite profile, including acyl-carnitines (C11:0/C5:1-DC/iso-C11:0, 2-M-C4:1/3-M-C4:1, C4:0); sphingomyelins (42:1, 33:1); glycerol; stearic acid; 2- and 3- hydroxyl-butyric acid; docosahexaenoic acid; serotonin; and phosphatidylcholine (34:2), was significantly associated with high sleep duration (4th plus 5th quintile). Ten metabolites, including acyl-carnitines (C18:1, C7:0, C6-OH); phosphatidylcholine (40:6, 37:4, 42:5); lyso-phosphatidylcholine, (20:1); sucrose; glutamic acid, and triacylglycerol (52:4), were significantly associated with high sleep variability (4th plus 5th quintile). The area under the curve was 0.69 (95% CI 0.62-0.75), and 0.63 (95% CI 0.53-0.72), in the multi-metabolite score for high sleep duration, and sleep variability, respectively. The variance in sleep duration explained by metabolites was 7%. No metabolites were selected for prediction of sleep variability (continuous).
Conclusion: A small set of metabolites within distinct biochemical pathways were associated with high sleep duration and sleep variability. These metabolites appeared to moderately discriminate sleep duration and sleep variability categories.
|Status||Udgivet - 2019|
CURIS 2019 NEXS 086
- Det Naturvidenskabelige Fakultet