Literature DB >> 29657561

Habitual Sleep and human plasma metabolomics.

Qian Xiao1, Andriy Derkach2, Steven C Moore3, Wei Zheng4, Xiao-Ou Shu4, Fangyi Gu5, Neil E Caporaso5, Joshua N Sampson2, Charles E Matthews3.   

Abstract

INTRODUCTION: Sleep plays an important role in cardiometabolic health. The sleep-wake cycle is partially driven by the endogenous circadian clock, which governs a range of metabolic pathways. The association between sleep and cardiometabolic health may be mediated by alterations of the human metabolome.
OBJECTIVES: To better understand the biological mechanism underlying the association between sleep and health, we examined human plasma metabolites in relation to sleep duration and sleep timing.
METHODS: Using an untargeted approach, 329 fasting plasma metabolites were measured in 277 Chinese participants. We measured sleep timing (midpoint between bedtime and wake up time) using repeated time-use surveys (4 weeks during one year) and previous night sleep duration from questionnaires completed before sample donation.
RESULTS: We found 64 metabolites that were associated with sleep timing with a false discovery rate of 0.2 or lower, after adjusting for potential confounders. Notably, we found that later sleep timing was associated with higher levels of multiple metabolites in amino acid metabolism, including branched chain amino acids and their gamma-glutamyl dipeptides. We also found widespread associations between sleep timing and numerous metabolites in lipid metabolism, including bile acids, carnitines and fatty acids. In contrast, previous night sleep duration was not associated with plasma metabolites in our study.
CONCLUSION: Sleep timing was associated with a large number of metabolites across a variety of biochemical pathways. Some metabolite associations are consistent with a relationship between late chronotype and adverse effects on cardiometabolic health.

Entities:  

Keywords:  Sleep duration; metabolomics; sleep timing

Year:  2017        PMID: 29657561      PMCID: PMC5897041          DOI: 10.1007/s11306-017-1205-z

Source DB:  PubMed          Journal:  Metabolomics        ISSN: 1573-3882            Impact factor:   4.290


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