Circadian transcriptome oscillations in human adipose tissue depend on napping status and link to metabolic and inflammatory pathways

Sleep. 2024 Nov 8;47(11):zsae160. doi: 10.1093/sleep/zsae160.

Abstract

Study objectives: Napping is a common habit in many countries. Nevertheless, studies about the chronic effects of napping on obesity are contradictory, and the molecular link between napping and metabolic alterations has yet to be studied. We aim to identify molecular mechanisms in adipose tissue (AT) that may connect napping and abdominal obesity.

Methods: In this cross-sectional study, we extracted the RNA repeatedly across 24 hours from cultured AT explants and performed RNA sequencing. Circadian rhythms were analyzed using six consecutive time points across 24 hours. We also assessed global gene expression in each group (nappers vs. non-nappers).

Results: With napping, there was an 88% decrease in the number of rhythmic genes compared to that in non-nappers, a reduction in rhythm amplitudes of 29%, and significant phase changes from a coherent unimodal acrophase in non-nappers, towards a scattered and bimodal acrophase in nappers. Those genes that lost rhythmicity with napping were mainly involved in pathways of glucose and lipid metabolism, and of the circadian clock. Additionally, we found differential global gene expression between nappers and non-nappers with 34 genes down- and 32 genes upregulated in nappers. The top upregulated gene (IER3) and top down-regulated pseudogene (VDAC2P2) in nappers have been previously shown to be involved in inflammation.

Conclusions: These new findings have implications for our understanding of napping's relationship with obesity and metabolic disorders.

Keywords: RNAseq; circadian rhythm; napping; obesity.

MeSH terms

  • Adipose Tissue* / metabolism
  • Adult
  • Circadian Rhythm* / genetics
  • Circadian Rhythm* / physiology
  • Cross-Sectional Studies
  • Female
  • Humans
  • Inflammation / genetics
  • Male
  • Middle Aged
  • Sleep* / genetics
  • Sleep* / physiology
  • Transcriptome*