Metabolomics

, 13:63 | Cite as

Habitual sleep and human plasma metabolomics

  • Qian Xiao
  • Andriy Derkach
  • Steven C. Moore
  • Wei Zheng
  • Xiao-Ou Shu
  • Fangyi Gu
  • Neil E. Caporaso
  • Joshua N. Sampson
  • Charles E. Matthews
Original Article

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 1 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.

Keywords

Sleep duration Sleep timing Metabolomics 

Notes

Funding

This research was supported by the Intramural Research Program of the National Institutes of Health, National Cancer Institute, Department of Health and Human Services.

Compliance with ethical standards

Conflict of interest

The authors declare no conflicts of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Supplementary material

11306_2017_1205_MOESM1_ESM.doc (3 mb)
Supplementary material 1 (DOC 3097 KB)

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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  1. 1.Department of Health and Human PhysiologyUniversity of IowaIowa CityUSA
  2. 2.Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institutes of HealthRockvilleUSA
  3. 3.Nutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institutes of HealthRockvilleUSA
  4. 4.Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer CenterVanderbilt University School of MedicineNashvilleUSA
  5. 5.Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institutes of HealthRockvilleUSA

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