Insufficient sleep and weekend recovery sleep: classification by a metabolomics-based machine learning ensemble.

Autor: Gombert M; Department of Pediatrics, Obstetrics and Gynecology, University of Valencia, 46010, Valencia, Spain.; Center for Health Sciences, SRI International, Menlo Park, CA, USA., Reisdorph N; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, USA., Morton SJ; Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, 1725 Pleasant Street; Clare Small 114, Boulder, CO, 80309-0354, USA., Wright KP Jr; Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, 1725 Pleasant Street; Clare Small 114, Boulder, CO, 80309-0354, USA. kenneth.wright@colorado.edu.; Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA. kenneth.wright@colorado.edu., Depner CM; Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, 1725 Pleasant Street; Clare Small 114, Boulder, CO, 80309-0354, USA. christopher.depner@utah.edu.; Department of Health and Kinesiology, University of Utah, 250 S 1850 E; HPER North, RM 206, Salt Lake City, UT, 84112, USA. christopher.depner@utah.edu.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2023 Nov 30; Vol. 13 (1), pp. 21123. Date of Electronic Publication: 2023 Nov 30.
DOI: 10.1038/s41598-023-48208-z
Abstrakt: Although weekend recovery sleep is common, the physiological responses to weekend recovery sleep are not fully elucidated. Identifying molecular biomarkers that represent adequate versus insufficient sleep could help advance our understanding of weekend recovery sleep. Here, we identified potential molecular biomarkers of insufficient sleep and defined the impact of weekend recovery sleep on these biomarkers using metabolomics in a randomized controlled trial. Healthy adults (n = 34) were randomized into three groups: control (CON: 9-h sleep opportunities); sleep restriction (SR: 5-h sleep opportunities); or weekend recovery (WR: simulated workweek of 5-h sleep opportunities followed by ad libitum weekend recovery sleep and then 2 days with 5-h sleep opportunities). Blood for metabolomics was collected on the simulated Monday immediately following the weekend. Nine machine learning models, including a machine learning ensemble, were built to classify samples from SR versus CON. Notably, SR showed decreased glycerophospholipids and sphingolipids versus CON. The machine learning ensemble showed the highest G-mean performance and classified 50% of the WR samples as insufficient sleep. Our findings show insufficient sleep and recovery sleep influence the plasma metabolome and suggest more than one weekend of recovery sleep may be necessary for the identified biomarkers to return to healthy adequate sleep levels.
(© 2023. The Author(s).)
Databáze: MEDLINE
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