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Evening chronotype is associated with elevated biomarkers of cardiometabolic risk in the EpiHealth cohort: a cross-sectional study

Baldanzi, Gabriel (författare)
Uppsala University,Uppsala universitet,Molekylär epidemiologi,Science for Life Laboratory, SciLifeLab,Tove Fall
Hammar, Ulf (författare)
Uppsala University,Uppsala universitet,Molekylär epidemiologi,Science for Life Laboratory, SciLifeLab,Tove Fall
Fall, Tove, 1979- (författare)
Uppsala University,Uppsala universitet,Science for Life Laboratory, SciLifeLab,Molekylär epidemiologi,Tove Fall
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Lindberg, Eva (författare)
Uppsala University,Uppsala universitet,Lung- allergi- och sömnforskning
Lind, Lars (författare)
Uppsala University,Uppsala universitet,Klinisk epidemiologi
Elmståhl, Sölve (författare)
Lund University,Lunds universitet,Geriatrik,Forskargrupper vid Lunds universitet,Geriatrics,Lund University Research Groups,Skåne University Hospital
Theorell-Haglöw, Jenny (författare)
Uppsala University,Uppsala universitet,Lung- allergi- och sömnforskning,Molekylär epidemiologi
visa färre...
 (creator_code:org_t)
2021-09-04
2022
Engelska.
Ingår i: Sleep. - : Oxford University Press. - 0161-8105 .- 1550-9109. ; 45:2
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Study objectives: Individuals with evening chronotype have a higher risk of cardiovascular and metabolic disorders, although the underlying mechanisms are not well understood. In a population- based cohort, we aimed to investigate the association between chronotype and 242 circulating proteins from three panels of established or candidate biomarkers of cardiometabolic processes. Methods: In 2,471 participants (49.7% men, mean age 61.2±8.4 SD years) from the EpiHealth cohort, circulating proteins were analyzed with a multiplex proximity extension technique. Participants self- reported their chronotype on a five-level scale from extreme morning to extreme evening chronotype. With the intermediate chronotype set as the reference, each protein was added as the dependent variable in a series of linear regression models adjusted for confounders. Next, the chronotype coefficients were jointly tested and the resulting p-values adjusted for multiple testing using false discovery rate (5%). For the associations identified, we then analyzed the marginal effect of each chronotype category. Results: We identified 17 proteins associated with chronotype. Evening chronotype was positively associated with proteins previously linked to insulin resistance and cardiovascular risk, namely retinoic acid receptor protein 2, fatty acid-binding protein adipocyte, tissue-type plasminogen activator, and plasminogen activator inhibitor 1 (PAI-1). Additionally, PAI-1 was inversely associated with the extreme morning chronotype. Conclusions: In this population-based study, proteins previously related with cardiometabolic risk were elevated in the evening chronotypes. These results may guide future research in the relation between chronotype and cardiometabolic disorders. 

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Kardiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cardiac and Cardiovascular Systems (hsv//eng)

Nyckelord

chronotype
sleep habits
proteomics
cohort studies
cardiovascular diseases
metabolic diseases
cardiovascular diseases
chronotype
cohort studies
metabolic diseases
proteomics
sleep habits

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