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

Authors :
Ruifang Li-Gao
Naveed Sattar
M.M. Bos
Carolien A. Wijsman
Stella Trompet
Aeilko H. Zwinderman
Gisela M. Terwindt
Irene de Boer
Abbas Dehghan
Diana van Heemst
P. Eline Slagboom
Matt J. Neville
Dennis O. Mook-Kanamori
L.H. Lumey
Frits R. Rosendaal
Xiang Zhang
Robert A. Schoevers
Fredrik Karpe
Ian Ford
Rima Mustafa
Neil Goulding
Dorret I. Boomsma
Nienke R. Biermasz
Raymond Noordam
Debbie A Lawlor
Bastiaan T. Heijmans
Annemarie I. Luik
Carisha S. Thesing
M. Arfan Ikram
Mohsen Ghanbari
Gonneke Willemsen
Marian Beekman
Lisanne S. Vijfhuizen
Patrick C.N. Rensen
Renée de Mutsert
J. Wouter Jukema
Matthew Lee
Simon P. Mooijaart
Amy Hofman
Chihua Li
Mariska Bot
Brenda W.J.H. Penninx
Constantinos Christodoulides
Arn M. J. M. van den Maagdenberg
Rebecca C Richmond
He Gao
Ko Willems van Dijk
René Pool
Kaitlin H Wade
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

BackgroundSleep 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.MethodsWe used AMV (N=17,370) 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.ResultsWe 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-hour [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.ConclusionsWhilst 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

Database :
OpenAIRE
Accession number :
edsair.doi...........b10733fe8f267da8702659c609a52a95