Literature DB >> 30722060

Circulating metabolites associated with objectively measured sleep duration and sleep variability in overweight/obese participants: a metabolomics approach within the SATIN study.

Christopher Papandreou1,2, Lucia Camacho-Barcia1,2, Jesús García-Gavilán1,2, Thea Toft Hansen3, Mads F Hjorth3, Jason C G Halford4, Jordi Salas-Salvadó1,2, Anders Sjödin3, Mónica Bulló1,2.   

Abstract

STUDY
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 analyses were performed on baseline data from 205 participants with overweight/obesity in the "Satiety Innovation" (SATIN) study. A targeted metabolite profiling (n = 159 metabolites) approach was applied using three different platforms (nuclear magnetic resonance, liquid chromatography coupled to mass spectrometry, and gas chromatography coupled to mass spectrometry). 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 multimetabolite 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).
CONCLUSIONS: 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. © Sleep Research Society 2019. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please e-mail journals.permissions@oup.com.

Entities:  

Keywords:  SATIN; metabolomics; sleep duration; sleep variability

Mesh:

Substances:

Year:  2019        PMID: 30722060     DOI: 10.1093/sleep/zsz030

Source DB:  PubMed          Journal:  Sleep        ISSN: 0161-8105            Impact factor:   5.849


  5 in total

1.  Effects of exercise and dietary interventions on serum metabolites in men with insomnia symptoms: A 6-month randomized controlled trial.

Authors:  Xiaobo Zhang; Xiuqiang Wang; Shenglong Le; Xiaowei Ojanen; Xiao Tan; Petri Wiklund; Sulin Cheng
Journal:  Sports Med Health Sci       Date:  2020-05-22

2.  The Role of BTBD9 in the Cerebellum, Sleep-like Behaviors and the Restless Legs Syndrome.

Authors:  Shangru Lyu; Hong Xing; Mark P DeAndrade; Pablo D Perez; Fumiaki Yokoi; Marcelo Febo; Arthur S Walters; Yuqing Li
Journal:  Neuroscience       Date:  2020-05-22       Impact factor: 3.590

3.  Metabolomic profile associated with obstructive sleep apnoea severity in obese pregnant women with gestational diabetes mellitus: A pilot study.

Authors:  Sirimon Reutrakul; Hui Chen; Naricha Chirakalwasan; Suranut Charoensri; Ekasitt Wanitcharoenkul; Somvang Amnakkittikul; Sunee Saetung; Brian T Layden; George E Chlipala
Journal:  J Sleep Res       Date:  2021-04-01       Impact factor: 5.296

4.  Effect of COVID-19 Pandemic on Dietary Habits and Sleep Quality Applying the Pittsburgh Sleep Quality Index in Adult Saudi Population: A Cross-Sectional Study.

Authors:  Hend F Alharbi; Hassan Barakat
Journal:  Int J Environ Res Public Health       Date:  2022-09-21       Impact factor: 4.614

5.  Ganoderma lucidum promotes sleep through a gut microbiota-dependent and serotonin-involved pathway in mice.

Authors:  Chunyan Yao; Zhiyuan Wang; Huiyong Jiang; Ren Yan; Qianfei Huang; Yin Wang; Hui Xie; Ying Zou; Ying Yu; Longxian Lv
Journal:  Sci Rep       Date:  2021-07-01       Impact factor: 4.379

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.