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Developing preliminary blood metabolomics-based biomarkers of insufficient sleep in humans

ABSTRACT: Study Objective: Identify small molecule biomarkers of insufficient sleep using untargeted plasma metabolomics in humans undergoing experimental insufficient sleep. Methods: We conducted a cross-over laboratory study where 16 normal weight participants (8 men; age 22 ± 5 years; body mass index < 25 kg/m2) completed three baseline days (BL; 9h sleep opportunity per night) followed by five day insufficient (5H; 5h sleep opportunity per night) and adequate (9H; 9h sleep opportunity per night) sleep conditions. Energy balanced diets were provided during baseline, with ad libitum energy intake provided during the insufficient and adequate sleep conditions. Untargeted plasma metabolomics analyses were performed using blood samples collected every 4h across the final 24h of each condition. Biomarker models were developed using logistic regression and linear support vector machine algorithms. Results: The top performing biomarker model was developed by linear support vector machine modeling, consisted of 65 compounds, and discriminated insufficient versus adequate sleep with 74% overall accuracy and a Matthew’s Correlation Coefficient of 0.39. The compounds in the top performing biomarker model were associated with ATP Binding Cassette Transporters in Lipid Homeostasis, Phospholipid Metabolic Process, Plasma Lipoprotein Remodeling, and sphingolipid metabolism. Conclusion: We identified potential metabolomics-based biomarkers of insufficient sleep in humans. Further development and validation of omics-based biomarkers of insufficient sleep will advance our understanding of the negative consequences of insufficient sleep, improve diagnosis of poor sleep health, and identify targets for countermeasures designed to mitigate the negative health consequences of insufficient sleep.

ORGANISM(S): Human Homo Sapiens

TISSUE(S): Blood

SUBMITTER: Christopher Depner

PROVIDER: ST001440 | MetabolomicsWorkbench | Thu Aug 29 00:00:00 BST 2019

REPOSITORIES: MetabolomicsWorkbench

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Project description:Introduction: Sleep deprivation is associated with increased cardiovascular risk, which is more pronounced in women than men; however, causal evidence is lacking and the underlying mechanisms are unclear. We used randomized crossover design of prolonged sleep deprivation that mimics “life-like conditions” and endothelial cells (ECs) harvested from healthy women to investigate directly whether sleep deprivation impairs endothelial function and to identify underlying mechanisms. Methods: Healthy women with normal habitual sleep (7-9 h/day) were randomly allocated to 6-weeks of adequate sleep (7-9 h/day) or sleep deprivation (1.5 h less than habitual sleep) in a crossover design. Sleep duration was monitored objectively by actigraphy. EC harvesting and brachial artery flow-mediated dilation (FMD) were performed at baseline and the end of adequate sleep and sleep deprivation period. Results: Twenty-eight healthy women (mean [SE] age 35±13 years; BMI 25±3 kg/m2) participated. Compared with adequate sleep, sleep deprivation reduced FMD (mean±SE 8.65±0.48 vs. 7.35±0.39, p=0.02) and increased EC inflammation (nuclear factor-κB nuclear fluorescence area mean±SE 1.36±0.24 vs. 2.04±0.38 μm2, p=0.03 and mRNA expression of vascular cell adhesion molecule-1 mean±SE 1.00±0.19 vs. 2.31±0.72, p=0.04) compared with adequate sleep. Sleep deprivation increased EC oxidative stress by 67% compared with adequate sleep (redox sensitive fluorogenic probe fluorescence intensity, p=0.002) without upregulating antioxidant response. Using RNA-seq and a predicted protein-protein interaction algorithm, we identified reduced expression of serum response factor, a transcription factor that primes cortical response to sleep deprivation, and its endothelial target Defective in Cullin Neddylation-1 Domain Containing 3 as novel mediators of impaired nuclear factor (erythroid-derived 2)-like 2-mediated antioxidant responses in ECs in sleep deprivation. Conclusion: Sleep deprivation impairs clearance of endothelial oxidant stress accumulated during wakefulness leading to endothelial dysfunction and potentially increased cardiovascular risk in women. Trial Registration Number: ClinicalTrials.gov NCT02835261

Project description:Sleep is essential for life. A good night's sleep is pleasurable and sleep deprivation is stressful. Prolonged sleep loss impairs temperature control, metabolism, immunity, and ultimately leads to death. Extensive observational and epidemiological evidence indicates that optimal sleep duration of 8 hours is associated with the maintenance of good health. In our society, however, most people only get 6.5 - 7 hours. Suboptimal sleep duration has a strong association with mortality and morbidity. Lack of sleep has been linked to cardiovascular diseases, obesity, hypertension, type 2 diabetes, and other health/cognition conditions. It is clear that the biological need for sleep varies dramatically among humans. Sleep and circadian disorders can include Familial Advanced Sleep Phase (FASP), Delayed Sleep Phase (DSP), Advanced Sleep Phase (ASP), Natural Short Sleepers (NSS) or Long Sleeping. In example, Natural Short Sleepers (NSS) have a lifelong tendency to sleep only 4 - 6 hours per night and to awaken refreshed and energetic. Natural Long Sleepers biologically require 9 - 10 hours/night to feel well rested. The 'Sleep and Circadian Disorders Study' (SACDS) at the University of California San Francisco, set out to investigate the mechanisms involved in regulating sleep duration, patterns and sleep quality regulation by identifying and characterization of individuals and families with unusual sleep and circadian rhythm behavior patterns. SACDS participants were screened with a "General Sleep Questionnaire" that inquired about multiple aspects of sleep, including habitual work-day versus non-work day sleep-wake schedules, permits calculation of subjective habitual initial sleep onset, final sleep offset, and number of awakenings. There was an additional screening process including demographic data, sleep, mood, behavioral and general medical questionnaires, plus the study consent. After the extensive screening of 117 participants, blood samples were collected from 38 individuals and of those 10 samples were chosen for whole exome sequencing analysis.

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Developing preliminary blood metabolomics-based biomarkers of insufficient sleep in humans

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