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

Baldanzi, Gabriel ; Hammar, Ulf ; Fall, Tove LU ; Lindberg, Eva ; Lind, Lars ; Elmståhl, Sölve LU and Theorell-Haglöw, Jenny (2022) In Sleep 45(2).
Abstract

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... (More)

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 a 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 to cardiometabolic risk were elevated in the evening chronotypes. These results may guide future research in the relation between chronotype and cardiometabolic disorders.

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author
; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
cardiovascular diseases, chronotype, cohort studies, metabolic diseases, proteomics, sleep habits
in
Sleep
volume
45
issue
2
article number
zsab226
publisher
Oxford University Press
external identifiers
  • pmid:34480568
  • scopus:85124577371
ISSN
0161-8105
DOI
10.1093/sleep/zsab226
language
English
LU publication?
yes
id
a4a1348b-9568-40d4-9bf7-348ed06eb504
date added to LUP
2022-04-13 11:39:27
date last changed
2024-05-07 12:14:54
@article{a4a1348b-9568-40d4-9bf7-348ed06eb504,
  abstract     = {{<p>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 a 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 to cardiometabolic risk were elevated in the evening chronotypes. These results may guide future research in the relation between chronotype and cardiometabolic disorders. </p>}},
  author       = {{Baldanzi, Gabriel and Hammar, Ulf and Fall, Tove and Lindberg, Eva and Lind, Lars and Elmståhl, Sölve and Theorell-Haglöw, Jenny}},
  issn         = {{0161-8105}},
  keywords     = {{cardiovascular diseases; chronotype; cohort studies; metabolic diseases; proteomics; sleep habits}},
  language     = {{eng}},
  number       = {{2}},
  publisher    = {{Oxford University Press}},
  series       = {{Sleep}},
  title        = {{Evening chronotype is associated with elevated biomarkers of cardiometabolic risk in the EpiHealth cohort : A cross-sectional study}},
  url          = {{http://dx.doi.org/10.1093/sleep/zsab226}},
  doi          = {{10.1093/sleep/zsab226}},
  volume       = {{45}},
  year         = {{2022}},
}