Sleep duration, plasma metabolites, and obesity and diabetes: A metabolome-wide association study in US women.
Josef FritzTianyi HuangChristopher M DepnerOana A ZeleznikElizabeth M Cespedes FelicianoWenjun LiKatie L StoneJo Ann E MansonAndrew T ChanTamar SoferEva SchernhammerKathryn RexrodeSusan RedlineKenneth P WrightCéline VetterPublished in: Sleep (2022)
Short and long sleep duration are associated with adverse metabolic outcomes, such as obesity and diabetes. We evaluated cross-sectional differences in metabolite levels between women with self-reported habitual short (<7h), medium (7-8h), and long (≥9h) sleep duration to delineate potential underlying biological mechanisms. In total, 210 metabolites were measured via liquid chromatography-mass spectrometry in 9,207 women from the Nurses' Health Study (NHS; N=5,027), the NHSII (N=2,368), and the Women's Health Initiative (WHI; N=2,287). Twenty metabolites were consistently (i.e. praw<0.05 in ≥2 cohorts) and/or strongly (pFDR<0.05 in at least one cohort) associated with short sleep duration after multi-variable adjustment. Specifically, levels of two lysophosphatidylethanolamines, four lysophosphatidylcholines, hydroxyproline and phenylacetylglutamine were higher compared to medium sleep duration, while levels of one diacylglycerol and eleven triacylglycerols (TAGs; all with ≥3 double bonds) were lower. Moreover, enrichment analysis assessing associations of metabolites with short sleep based on biological categories demonstrated significantly increased acylcarnitine levels for short sleep. A metabolite score for short sleep duration based on 12 LASSO-regression selected metabolites was not significantly associated with prevalent and incident obesity and diabetes. Associations of single metabolites with long sleep duration were less robust. However, enrichment analysis demonstrated significant enrichment scores for four lipid classes, all of which (most markedly TAGs) were of opposite sign than the scores for short sleep. Habitual short sleep exhibits a signature on the human plasma metabolome which is different from medium and long sleep. However, we could not detect a direct link of this signature with obesity and diabetes risk.
Keyphrases
- type diabetes
- ms ms
- cardiovascular disease
- mass spectrometry
- insulin resistance
- metabolic syndrome
- weight loss
- glycemic control
- physical activity
- healthcare
- liquid chromatography
- public health
- sleep quality
- polycystic ovary syndrome
- cross sectional
- mental health
- weight gain
- pregnant women
- social media
- high resolution
- skeletal muscle
- health information
- cervical cancer screening