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Investigating the relationships between unfavourable habitual sleep and metabolomic traits: evidence from multi-cohort multivariable regression and Mendelian randomization analyses

Authors :
Maxime M. Bos
Neil J. Goulding
Matthew A. Lee
Amy Hofman
Mariska Bot
René Pool
Lisanne S. Vijfhuizen
Xiang Zhang
Chihua Li
Rima Mustafa
Matt J. Neville
Ruifang Li-Gao
Stella Trompet
Marian Beekman
Nienke R. Biermasz
Dorret I. Boomsma
Irene de Boer
Constantinos Christodoulides
Abbas Dehghan
Ko Willems van Dijk
Ian Ford
Mohsen Ghanbari
Bastiaan T. Heijmans
M. Arfan Ikram
J. Wouter Jukema
Dennis O. Mook-Kanamori
Fredrik Karpe
Annemarie I. Luik
L. H. Lumey
Arn M. J. M. van den Maagdenberg
Simon P. Mooijaart
Renée de Mutsert
Brenda W. J. H. Penninx
Patrick C. N. Rensen
Rebecca C. Richmond
Frits R. Rosendaal
Naveed Sattar
Robert A. Schoevers
P. Eline Slagboom
Gisela M. Terwindt
Carisha S. Thesing
Kaitlin H. Wade
Carolien A. Wijsman
Gonneke Willemsen
Aeilko H. Zwinderman
Diana van Heemst
Raymond Noordam
Deborah A. Lawlor
Source :
BMC Medicine, Vol 19, Iss 1, Pp 1-20 (2021)
Publication Year :
2021
Publisher :
BMC, 2021.

Abstract

Abstract Background Sleep traits are associated with cardiometabolic disease risk, with evidence from Mendelian randomization (MR) suggesting that insomnia symptoms and shorter sleep duration increase coronary artery disease risk. We combined adjusted multivariable regression (AMV) and MR analyses of phenotypes of unfavourable sleep on 113 metabolomic traits to investigate possible biochemical mechanisms linking sleep to cardiovascular disease. Methods We used AMV (N = 17,368) combined with two-sample MR (N = 38,618) to examine effects of self-reported insomnia symptoms, total habitual sleep duration, and chronotype on 113 metabolomic traits. The AMV analyses were conducted on data from 10 cohorts of mostly Europeans, adjusted for age, sex, and body mass index. For the MR analyses, we used summary results from published European-ancestry genome-wide association studies of self-reported sleep traits and of nuclear magnetic resonance (NMR) serum metabolites. We used the inverse-variance weighted (IVW) method and complemented this with sensitivity analyses to assess MR assumptions. Results We found consistent evidence from AMV and MR analyses for associations of usual vs. sometimes/rare/never insomnia symptoms with lower citrate (− 0.08 standard deviation (SD)[95% confidence interval (CI) − 0.12, − 0.03] in AMV and − 0.03SD [− 0.07, − 0.003] in MR), higher glycoprotein acetyls (0.08SD [95% CI 0.03, 0.12] in AMV and 0.06SD [0.03, 0.10) in MR]), lower total very large HDL particles (− 0.04SD [− 0.08, 0.00] in AMV and − 0.05SD [− 0.09, − 0.02] in MR), and lower phospholipids in very large HDL particles (− 0.04SD [− 0.08, 0.002] in AMV and − 0.05SD [− 0.08, − 0.02] in MR). Longer total sleep duration associated with higher creatinine concentrations using both methods (0.02SD per 1 h [0.01, 0.03] in AMV and 0.15SD [0.02, 0.29] in MR) and with isoleucine in MR analyses (0.22SD [0.08, 0.35]). No consistent evidence was observed for effects of chronotype on metabolomic measures. Conclusions Whilst our results suggested that unfavourable sleep traits may not cause widespread metabolic disruption, some notable effects were observed. The evidence for possible effects of insomnia symptoms on glycoprotein acetyls and citrate and longer total sleep duration on creatinine and isoleucine might explain some of the effects, found in MR analyses of these sleep traits on coronary heart disease, which warrant further investigation.

Details

Language :
English
ISSN :
17417015
Volume :
19
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.3a4e89b02a4e4bc9b561d382d0215d2b
Document Type :
article
Full Text :
https://doi.org/10.1186/s12916-021-01939-0