Your browser doesn't support javascript.
loading
Investigating the relationships between unfavourable habitual sleep and metabolomic traits: evidence from multi-cohort multivariable regression and Mendelian randomization analyses.
Bos, Maxime M; Goulding, Neil J; Lee, Matthew A; Hofman, Amy; Bot, Mariska; Pool, René; Vijfhuizen, Lisanne S; Zhang, Xiang; Li, Chihua; Mustafa, Rima; Neville, Matt J; Li-Gao, Ruifang; Trompet, Stella; Beekman, Marian; Biermasz, Nienke R; Boomsma, Dorret I; de Boer, Irene; Christodoulides, Constantinos; Dehghan, Abbas; van Dijk, Ko Willems; Ford, Ian; Ghanbari, Mohsen; Heijmans, Bastiaan T; Ikram, M Arfan; Jukema, J Wouter; Mook-Kanamori, Dennis O; Karpe, Fredrik; Luik, Annemarie I; Lumey, L H; van den Maagdenberg, Arn M J M; Mooijaart, Simon P; de Mutsert, Renée; Penninx, Brenda W J H; Rensen, Patrick C N; Richmond, Rebecca C; Rosendaal, Frits R; Sattar, Naveed; Schoevers, Robert A; Slagboom, P Eline; Terwindt, Gisela M; Thesing, Carisha S; Wade, Kaitlin H; Wijsman, Carolien A; Willemsen, Gonneke; Zwinderman, Aeilko H; van Heemst, Diana; Noordam, Raymond; Lawlor, Deborah A.
Afiliación
  • Bos MM; Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.
  • Goulding NJ; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Lee MA; MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
  • Hofman A; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
  • Bot M; MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
  • Pool R; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
  • Vijfhuizen LS; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Zhang X; Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health research institute, Amsterdam, The Netherlands.
  • Li C; Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.
  • Mustafa R; Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
  • Neville MJ; Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
  • Li-Gao R; Department of Experimental Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Trompet S; Human and Animal Physiology, Wageningen University, Wageningen, The Netherlands.
  • Beekman M; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA.
  • Biermasz NR; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
  • Boomsma DI; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals Foundation Trust, Oxford, UK.
  • de Boer I; Radcliffe Department of Medicine, Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Oxford, UK.
  • Christodoulides C; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Dehghan A; Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.
  • van Dijk KW; Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
  • Ford I; Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands.
  • Ghanbari M; Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.
  • Heijmans BT; Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
  • Ikram MA; Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.
  • Jukema JW; Radcliffe Department of Medicine, Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Oxford, UK.
  • Mook-Kanamori DO; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
  • Karpe F; Dementia Research Institute at Imperial College London, London, W2 1PG, UK.
  • Luik AI; MRC Centre for Environment and Health, School of Public Health, Imperial College, London, UK.
  • Lumey LH; Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
  • van den Maagdenberg AMJM; Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands.
  • Mooijaart SP; Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands.
  • de Mutsert R; Robertson Center for Biostatistics, University of Glasgow, Glasgow, UK.
  • Penninx BWJH; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Rensen PCN; Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
  • Richmond RC; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Rosendaal FR; Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Sattar N; Netherlands Heart Institute, Utrecht, The Netherlands.
  • Schoevers RA; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Slagboom PE; Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.
  • Terwindt GM; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals Foundation Trust, Oxford, UK.
  • Thesing CS; Radcliffe Department of Medicine, Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Oxford, UK.
  • Wade KH; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Wijsman CA; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA.
  • Willemsen G; Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
  • Zwinderman AH; Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
  • van Heemst D; Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.
  • Noordam R; Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.
  • Lawlor DA; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
BMC Med ; 19(1): 69, 2021 03 18.
Article en En | MEDLINE | ID: mdl-33731105
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.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sueño / Enfermedad de la Arteria Coronaria / Estudio de Asociación del Genoma Completo / Análisis de la Aleatorización Mendeliana / Enfermedades Metabólicas Tipo de estudio: Clinical_trials / Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Humans Idioma: En Revista: BMC Med Asunto de la revista: MEDICINA Año: 2021 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sueño / Enfermedad de la Arteria Coronaria / Estudio de Asociación del Genoma Completo / Análisis de la Aleatorización Mendeliana / Enfermedades Metabólicas Tipo de estudio: Clinical_trials / Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Humans Idioma: En Revista: BMC Med Asunto de la revista: MEDICINA Año: 2021 Tipo del documento: Article País de afiliación: Países Bajos