Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Exploring the relationship between social jetlag with gut microbial composition, diet and cardiometabolic health, in the ZOE PREDICT 1 cohort

Bermingham, Kate M. ; Stensrud, Sophie ; Asnicar, Francesco ; Valdes, Ana M. ; Franks, Paul W. LU ; Wolf, Jonathan ; Hadjigeorgiou, George ; Davies, Richard ; Spector, Tim D. and Segata, Nicola , et al. (2023) In European Journal of Nutrition 62(8). p.3135-3147
Abstract

Purpose: In this study, we explore the relationship between social jetlag (SJL), a parameter of circadian misalignment, and gut microbial composition, diet and cardiometabolic health in the ZOE PREDICT 1 cohort (NCT03479866). Methods: We assessed demographic, diet, cardiometabolic, stool metagenomics and postprandial metabolic measures (n = 1002). We used self-reported habitual sleep (n = 934) to calculate SJL (difference in mid-sleep time point of ≥ 1.5 h on week versus weekend days). We tested group differences (SJL vs no-SJL) in cardiometabolic markers and diet (ANCOVA) adjusting for sex, age, BMI, ethnicity, and socio-economic status. We performed comparisons of gut microbial composition using machine learning and association... (More)

Purpose: In this study, we explore the relationship between social jetlag (SJL), a parameter of circadian misalignment, and gut microbial composition, diet and cardiometabolic health in the ZOE PREDICT 1 cohort (NCT03479866). Methods: We assessed demographic, diet, cardiometabolic, stool metagenomics and postprandial metabolic measures (n = 1002). We used self-reported habitual sleep (n = 934) to calculate SJL (difference in mid-sleep time point of ≥ 1.5 h on week versus weekend days). We tested group differences (SJL vs no-SJL) in cardiometabolic markers and diet (ANCOVA) adjusting for sex, age, BMI, ethnicity, and socio-economic status. We performed comparisons of gut microbial composition using machine learning and association analyses on the species level genome bins present in at least 20% of the samples. Results: The SJL group (16%, n = 145) had a greater proportion of males (39% vs 25%), shorter sleepers (average sleep < 7 h; 5% vs 3%), and were younger (38.4 ± 11.3y vs 46.8 ± 11.7y) compared to the no-SJL group. SJL was associated with a higher relative abundance of 9 gut bacteria and lower abundance of 8 gut bacteria (q < 0.2 and absolute Cohen’s effect size > 0.2), in part mediated by diet. SJL was associated with unfavourable diet quality (less healthful Plant-based Diet Index), higher intakes of potatoes and sugar-sweetened beverages, and lower intakes of fruits, and nuts, and slightly higher markers of inflammation (GlycA and IL-6) compared with no-SJL (P < 0.05 adjusted for covariates); rendered non-significant after multiple testing adjustments. Conclusions: Novel associations between SJL and a more disadvantageous gut microbiome in a cohort of predominantly adequate sleepers highlight the potential implications of SJL for health.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; ; ; and , et al. (More)
; ; ; ; ; ; ; ; ; ; and (Less)
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Diet, Gut microbiome, Social jetlag
in
European Journal of Nutrition
volume
62
issue
8
pages
13 pages
publisher
Springer
external identifiers
  • pmid:37528259
  • scopus:85166302839
ISSN
1436-6207
DOI
10.1007/s00394-023-03204-x
language
English
LU publication?
yes
id
d2bad265-11b9-40aa-9f56-e928f1891b26
date added to LUP
2023-11-21 13:26:49
date last changed
2024-05-16 20:14:06
@article{d2bad265-11b9-40aa-9f56-e928f1891b26,
  abstract     = {{<p>Purpose: In this study, we explore the relationship between social jetlag (SJL), a parameter of circadian misalignment, and gut microbial composition, diet and cardiometabolic health in the ZOE PREDICT 1 cohort (NCT03479866). Methods: We assessed demographic, diet, cardiometabolic, stool metagenomics and postprandial metabolic measures (n = 1002). We used self-reported habitual sleep (n = 934) to calculate SJL (difference in mid-sleep time point of ≥ 1.5 h on week versus weekend days). We tested group differences (SJL vs no-SJL) in cardiometabolic markers and diet (ANCOVA) adjusting for sex, age, BMI, ethnicity, and socio-economic status. We performed comparisons of gut microbial composition using machine learning and association analyses on the species level genome bins present in at least 20% of the samples. Results: The SJL group (16%, n = 145) had a greater proportion of males (39% vs 25%), shorter sleepers (average sleep &lt; 7 h; 5% vs 3%), and were younger (38.4 ± 11.3y vs 46.8 ± 11.7y) compared to the no-SJL group. SJL was associated with a higher relative abundance of 9 gut bacteria and lower abundance of 8 gut bacteria (q &lt; 0.2 and absolute Cohen’s effect size &gt; 0.2), in part mediated by diet. SJL was associated with unfavourable diet quality (less healthful Plant-based Diet Index), higher intakes of potatoes and sugar-sweetened beverages, and lower intakes of fruits, and nuts, and slightly higher markers of inflammation (GlycA and IL-6) compared with no-SJL (P &lt; 0.05 adjusted for covariates); rendered non-significant after multiple testing adjustments. Conclusions: Novel associations between SJL and a more disadvantageous gut microbiome in a cohort of predominantly adequate sleepers highlight the potential implications of SJL for health.</p>}},
  author       = {{Bermingham, Kate M. and Stensrud, Sophie and Asnicar, Francesco and Valdes, Ana M. and Franks, Paul W. and Wolf, Jonathan and Hadjigeorgiou, George and Davies, Richard and Spector, Tim D. and Segata, Nicola and Berry, Sarah E. and Hall, Wendy L.}},
  issn         = {{1436-6207}},
  keywords     = {{Diet; Gut microbiome; Social jetlag}},
  language     = {{eng}},
  number       = {{8}},
  pages        = {{3135--3147}},
  publisher    = {{Springer}},
  series       = {{European Journal of Nutrition}},
  title        = {{Exploring the relationship between social jetlag with gut microbial composition, diet and cardiometabolic health, in the ZOE PREDICT 1 cohort}},
  url          = {{http://dx.doi.org/10.1007/s00394-023-03204-x}},
  doi          = {{10.1007/s00394-023-03204-x}},
  volume       = {{62}},
  year         = {{2023}},
}