Evidence map›Paper›PMID 33731105›Full record

ArticleBMC medicine2021

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

Maxime M Bos, Neil J Goulding, Matthew A Lee, Amy Hofman, Mariska Bot, René Pool, Lisanne S Vijfhuizen, Xiang Zhang, Chihua Li, Rima Mustafa and 38 more

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Sleep and Risk for Heart Disease and Stroke.Arteriosclerosis, thrombosis, and vascular biology · 2026
    Review
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  5. Article
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  12. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

48 authors at 12 institutions in 4 countries.

Maxime M Bos *Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.
Neil J Goulding *MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
Matthew A LeeMRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
Amy HofmanDepartment of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Mariska BotAmsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health research institute, Amsterdam, The Netherlands.
René PoolAmsterdam Public Health Research Institute, Amsterdam, The Netherlands.
Lisanne S VijfhuizenDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Xiang ZhangDepartment of Experimental Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Chihua LiDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA.
Rima MustafaDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Matt J NevilleNIHR Oxford Biomedical Research Centre, Oxford University Hospitals Foundation Trust, Oxford, UK.
Ruifang Li-GaoDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Stella TrompetDepartment of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.
Marian BeekmanMolecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
Nienke R BiermaszDepartment of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands.
Dorret I BoomsmaAmsterdam Public Health Research Institute, Amsterdam, The Netherlands.
Irene de BoerDepartment of Neurology, Leiden University Medical Center, Leiden, The Netherlands.
Constantinos ChristodoulidesRadcliffe Department of Medicine, Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Oxford, UK.
Abbas DehghanDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Ko Willems van DijkDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Ian FordRobertson Center for Biostatistics, University of Glasgow, Glasgow, UK.
Mohsen GhanbariDepartment of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Bastiaan T HeijmansMolecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
M Arfan IkramDepartment of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
J Wouter JukemaDepartment of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.
Dennis O Mook-KanamoriDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Fredrik KarpeNIHR Oxford Biomedical Research Centre, Oxford University Hospitals Foundation Trust, Oxford, UK.
Annemarie I LuikDepartment of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
L H LumeyDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA.
Arn M J M van den MaagdenbergDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Simon P MooijaartDepartment of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.
Renée de MutsertDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Brenda W J H PenninxAmsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health research institute, Amsterdam, The Netherlands.
Patrick C N RensenDepartment of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands.
Rebecca C RichmondMRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
Frits R RosendaalDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Naveed SattarBHF Glasgow Cardiovascular Research Centre, Faculty of Medicine, Glasgow, UK.
Robert A SchoeversDepartment of Psychiatry, Groningen, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
P Eline SlagboomMolecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
Gisela M TerwindtDepartment of Neurology, Leiden University Medical Center, Leiden, The Netherlands.
Carisha S ThesingAmsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health research institute, Amsterdam, The Netherlands.
Kaitlin H WadeMRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
Carolien A WijsmanDepartment of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.
Gonneke WillemsenAmsterdam Public Health Research Institute, Amsterdam, The Netherlands.
Aeilko H ZwindermanDepartment of Clinical Epidemiology, Biostatistics, and Bioinformatics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Diana van Heemst *Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.
Raymond Noordam *Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands. r.noordam@lumc.nl.ORCID 0000-0001-7801-809X
Deborah A Lawlor *MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK. d.a.lawlor@bristol.ac.uk.ORCID 0000-0002-6793-2262
Leiden University Medical Center · NLAmsterdam University Medical Centers · NLErasmus MC · NLUniversity of Bristol · GBUniversity of Oxford · GBVrije Universiteit Amsterdam · NLAt Bristol · GBColumbia University · USImperial College London · GBUK Dementia Research Institute · GBUniversity Medical Center Groningen · NLUniversity of Glasgow · GB

Funding

British Heart Foundation 17/0005700British Heart Foundation AA/18/7/34219British Heart Foundation FS/16/45/32359British Heart Foundation RG/17/1/32663Diabetes UK 17/0005700Medical Research Council MC_UU_00011/6Wellcome Trust 204813/Z/16/ZWellcome Trust 206046/Z/17/Z
6 · The paper itself

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 = 17,368) 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.

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 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.

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.

Indexed as

Coronary Artery DiseaseGenome-Wide Association StudyMendelian Randomization AnalysisMetabolic DiseasesSleepAgedCreatinineCross-Sectional StudiesHumansIsoleucinePhenotypePolymorphism, Single NucleotideRisk FactorsCreatinineIsoleucineEpidemiologyMendelian randomizationMetabolomicsSleep

Identifiers

PMID33731105
PMCPMC7971964
OpenAlexW3131515324

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.