bims-ciryme Biomed News
on Circadian rhythms and metabolism
Issue of 2024‒08‒04
four papers selected by
Gabriela Da Silva Xavier, University of Birmingham



  1. Proc Natl Acad Sci U S A. 2024 Aug 06. 121(32): e2403770121
      Time-restricted feeding (RF) is known to shift the phasing of gene expression in most primary metabolic tissues, whereas a time misalignment between the suprachiasmatic nucleus circadian clock (SCNCC) and its peripheral CCs (PCC's) is known to induce various pathophysiological conditions, including a metabolic syndrome. We now report that a unique "light therapy," involving different light intensities (TZT0-ZT12150-TZT0-ZT12700 lx, TZT0-ZT1275-TZT0-ZT12150 lx, and TZT0-ZT12350-TZT0-ZT12700 lx), realigns the RF-generated misalignment between the SCNCC and the PCC's. Using such high-light regime, we show that through shifting the SCNCC and its activity, it is possible in a RF and "night-shifted mouse model" to prevent/correct pathophysiologies (e.g., a metabolic syndrome, a loss of memory, cardiovascular abnormalities). Our data indicate that such a "high-light regime" could be used as a unique chronotherapy, for those working on night shifts or suffering from jet-lag, in order to realign their SCNCC and PCC's, thereby preventing the generation of pathophysiological conditions.
    Keywords:  SCN; circadian clock; high-light; metabolic syndrome; realignment
    DOI:  https://doi.org/10.1073/pnas.2403770121
  2. bioRxiv. 2024 Jul 23. pii: 2024.07.22.604631. [Epub ahead of print]
    Estonian Biobank Research Team
      Circadian rhythms not only coordinate the timing of wake and sleep but also regulate homeostasis within the body, including glucose metabolism. However, the genetic variants that contribute to temporal control of glucose levels have not been previously examined. Using data from 420,000 individuals from the UK Biobank and replicating our findings in 100,000 individuals from the Estonian Biobank, we show that diurnal serum glucose is under genetic control. We discover a robust temporal association of glucose levels at the Melatonin receptor 1B ( MTNR1B) (rs10830963, P = 1e-22) and a canonical circadian pacemaker gene Cryptochrome 2 ( CRY2) loci (rs12419690, P = 1e-16). Furthermore, we show that sleep modulates serum glucose levels and the genetic variants have a separate mechanism of diurnal control. Finally, we show that these variants independently modulate risk of type 2 diabetes. Our findings, together with earlier genetic and epidemiological evidence, show a clear connection between sleep and metabolism and highlight variation at MTNR1B and CRY2 as temporal regulators for glucose levels.
    DOI:  https://doi.org/10.1101/2024.07.22.604631
  3. Lancet Reg Health Eur. 2024 Jul;42 100943
      Background: Light at night disrupts circadian rhythms, and circadian disruption is a risk factor for type 2 diabetes. Whether personal light exposure predicts diabetes risk has not been demonstrated in a large prospective cohort. We therefore assessed whether personal light exposure patterns predicted risk of incident type 2 diabetes in UK Biobank participants, using ∼13 million hours of light sensor data.Methods: Participants (N = 84,790, age (M ± SD) = 62.3 ± 7.9 years, 58% female) wore light sensors for one week, recording day and night light exposure. Circadian amplitude and phase were modeled from weekly light data. Incident type 2 diabetes was recorded (1997 cases; 7.9 ± 1.2 years follow-up; excluding diabetes cases prior to light-tracking). Risk of incident type 2 diabetes was assessed as a function of day and night light, circadian phase, and circadian amplitude, adjusting for age, sex, ethnicity, socioeconomic and lifestyle factors, and polygenic risk.
    Findings: Compared to people with dark nights (0-50th percentiles), diabetes risk was incrementally higher across brighter night light exposure percentiles (50-70th: multivariable-adjusted HR = 1.29 [1.14-1.46]; 70-90th: 1.39 [1.24-1.57]; and 90-100th: 1.53 [1.32-1.77]). Diabetes risk was higher in people with lower modeled circadian amplitude (aHR = 1.07 [1.03-1.10] per SD), and with early or late circadian phase (aHR range: 1.06-1.26). Night light and polygenic risk independently predicted higher diabetes risk. The difference in diabetes risk between people with bright and dark nights was similar to the difference between people with low and moderate genetic risk.
    Interpretation: Type 2 diabetes risk was higher in people exposed to brighter night light, and in people exposed to light patterns that may disrupt circadian rhythms. Avoidance of light at night could be a simple and cost-effective recommendation that mitigates risk of diabetes, even in those with high genetic risk.
    Funding: Australian Government Research Training Program.
    Keywords:  Cardiometabolic; Circadian; Circadian disruption; Light at night; Light sensor; Metabolic disease; Prospective; Sleep; Type 2 diabetes; UK biobank
    DOI:  https://doi.org/10.1016/j.lanepe.2024.100943
  4. J Biol Rhythms. 2024 Aug 02. 7487304241265439
      Seasonal daylength, or circadian photoperiod, is a pervasive environmental signal that profoundly influences physiology and behavior. In mammals, the central circadian clock resides in the suprachiasmatic nuclei (SCN) of the hypothalamus where it receives retinal input and synchronizes, or entrains, organismal physiology and behavior to the prevailing light cycle. The process of entrainment induces sustained plasticity in the SCN, but the molecular mechanisms underlying SCN plasticity are incompletely understood. Entrainment to different photoperiods persistently alters the timing, waveform, period, and light resetting properties of the SCN clock and its driven rhythms. To elucidate novel candidate genes for molecular mechanisms of photoperiod plasticity, we performed RNA sequencing on whole SCN dissected from mice raised in long (light:dark [LD] 16:8) and short (LD 8:16) photoperiods. Fewer rhythmic genes were detected in mice subjected to long photoperiod, and in general, the timing of gene expression rhythms was advanced 4-6 h. However, a few genes showed significant delays, including Gem. There were significant changes in the expression of the clock-associated gene Timeless and in SCN genes related to light responses, neuropeptides, gamma aminobutyric acid (GABA), ion channels, and serotonin. Particularly striking were differences in the expression of the neuropeptide signaling genes Prokr2 and Cck, as well as convergent regulation of the expression of 3 SCN light response genes, Dusp4, Rasd1, and Gem. Transcriptional modulation of Dusp4 and Rasd1 and phase regulation of Gem are compelling candidate molecular mechanisms for plasticity in the SCN light response through their modulation of the critical NMDAR-MAPK/ERK-CREB/CRE light signaling pathway in SCN neurons. Modulation of Prokr2 and Cck may critically support SCN neural network reconfiguration during photoperiodic entrainment. Our findings identify the SCN light response and neuropeptide signaling gene sets as rich substrates for elucidating novel mechanisms of photoperiod plasticity. Data are also available at http://circadianphotoperiodseq.com/, where users can view the expression and rhythmic properties of genes across these photoperiod conditions.
    Keywords:  RNAseq; circadian; clock; mouse; photoperiod; suprachiasmatic nucleus
    DOI:  https://doi.org/10.1177/07487304241265439