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Investigating the Relationships Between Unfavourable Habitual Sleep and Metabolomic Traits: Evidence from Multi-cohort Multivariable Regression and Mendelian Randomization Analyses

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.

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References
1.
Wurtz P, Havulinna A, Soininen P, Tynkkynen T, Prieto-Merino D, Tillin T . Metabolite profiling and cardiovascular event risk: a prospective study of 3 population-based cohorts. Circulation. 2015; 131(9):774-85. PMC: 4351161. DOI: 10.1161/CIRCULATIONAHA.114.013116. View

2.
Lawlor D, Harbord R, Sterne J, Timpson N, Davey Smith G . Mendelian randomization: using genes as instruments for making causal inferences in epidemiology. Stat Med. 2007; 27(8):1133-63. DOI: 10.1002/sim.3034. View

3.
Noordam R, Bos M, Wang H, Winkler T, Bentley A, Kilpelainen T . Multi-ancestry sleep-by-SNP interaction analysis in 126,926 individuals reveals lipid loci stratified by sleep duration. Nat Commun. 2019; 10(1):5121. PMC: 6851116. DOI: 10.1038/s41467-019-12958-0. View

4.
Sliz E, Kettunen J, Holmes M, Williams C, Boachie C, Wang Q . Metabolomic consequences of genetic inhibition of PCSK9 compared with statin treatment. Circulation. 2018; 138(22):2499-2512. PMC: 6254781. DOI: 10.1161/CIRCULATIONAHA.118.034942. View

5.
Cappuccio F, Cooper D, DElia L, Strazzullo P, Miller M . Sleep duration predicts cardiovascular outcomes: a systematic review and meta-analysis of prospective studies. Eur Heart J. 2011; 32(12):1484-92. DOI: 10.1093/eurheartj/ehr007. View