bims-ciryme Biomed News
on Circadian rhythms and metabolism
Issue of 2026–03–15
four papers selected by
Gabriela Da Silva Xavier, University of Birmingham



  1. Proc Natl Acad Sci U S A. 2026 Mar 17. 123(11): e2525373123
      PER2 is a central transcriptional regulator in the mammalian circadian clock that closes the negative transcription-translation feedback loop by repressing its own transcription. The balance between the synthesis of PER2 and its degradation is a key factor that determines the circadian period. PER2 stability hinges on antagonistic phosphorylation events-phosphorylation at the familial advanced sleep phase site stabilizes PER2 while phosphorylation at the phosphodegron promotes degradation. The molecular mechanism by which phosphorylation elicits structural changes remains unclear, particularly because the phosphodegron is located in an intrinsically disordered region. Here, we show that the region encompassing the structured PER-ARNT-SIM (PAS) domains of PER2 and the downstream phosphodegron region form a large ~30 subunit homo-oligomer that resembles PER2 microbodies observed in mouse fibroblasts. Oligomerization is an emergent property that requires the cooperative interplay between the ordered PAS domains and the neighboring disordered segment. The phosphodegron is sequestered within this oligomer and inaccessible to Casein Kinase 1 (CK1). Intriguingly, Dark-state Exchange Saturation Transfer NMR experiments reveal that the oligomer coexists with dimeric PER2 and phosphorylation of the phosphodegron by CK1 occurs via this sparsely populated dimer. Using phosphomimetic variants, we then demonstrate that phosphorylation at the phosphodegron region destabilizes the oligomer. Our findings reveal the existence of structural polymorphism in PER2 and establish that oligomerization prevents CK1 from phosphorylating the phosphodegron, while phosphorylation of the dimer opposes oligomerization. This mutually antagonistic switch links structural assembly to posttranslational modifications and provides a mechanism by which phosphorylation tunes PER2 turnover and regulates circadian time-period.
    Keywords:  NMR spectroscopy; PER2 oligomerization; bidirectional switch; circadian clock; phosphorylation
    DOI:  https://doi.org/10.1073/pnas.2525373123
  2. Diabetologia. 2026 Mar 09.
       AIMS/HYPOTHESIS: Gestational diabetes (GDM) results in adverse outcomes for the pregnant individual and neonate. Lifestyle modifications are first-line interventions used to achieve pregnancy-specific glucose targets. We investigated how temporal eating patterns influence glucose concentrations in individuals with GDM. We hypothesise that eating the first meal early in the morning may lower overall 24 h interstitial glucose, which could be an intervention to improve 24 h glucose metrics among people with GDM.
    METHODS: This is a secondary analysis of pregnant people with GDM randomised to self-capillary blood glucose (SCBG) with or without additional real-time continuous glucose monitoring (CGM) for management of GDM. Participants measured SCBG and were included in the analysis if postprandial SCBG were available to infer meal timing (n=71). The cohort was split by the median time of first meal into early (first meal before 09:56 hours) and late eating (first meal after 09:56 hours) groups. The 24 h CGM glucose profiles were compared between groups by cosinor and linear analyses, adjusted for maternal and gestational age, medication usage, and primary study group assignment.
    RESULTS: Over 24 h, glucose increased during the day and decreased during the night. This rhythm was shifted earlier for the early eating group (time-of-day: 24 h component: -0.32 mmol l-1 min-1, t102,232=-188.9, p<0.001; 12 h component: -0.11 mmol l-1 min-1, t102,232=-65.2, p<0.001; and group × time-of-day: 24 h component: 0.09 mmol l-1 min-1, t102,232=37.9, p<0.001; 12 h component: 0.04 mmol l-1 min-1, t102,232=15.3, p<0.001). During the daytime, there was a significant time-of-day (7.0 × 10-4 mmol l-1 min-1, t72,418=150.8, p<0.001) and group × time-of-day effect (7.0 × 10-5 mmol l-1 min-1, t72,418=10.0, p<0.001), but no group effect (0.01 mmol/l, t65=0.06, p=0.950). Overnight, glucose decreased in both groups by approximately 0.67 ± 0.39 mmol/l. The late eating group, however, had significantly higher nocturnal glucose compared with the early eating group (group: 0.26 mmol/l, t65=2.3, p=0.023, time-of-day: -0.09 mmol l-1 min-1, t29,818=-119.0, p<0.001; and group × time-of-day effect: -0.01 mmol l-1 min-1, t29,818=-11.8, p<001).
    CONCLUSIONS/INTERPRETATION: These results suggest that meal timing, with an emphasis on earlier eating patterns, is a potential lifestyle intervention that can improve nocturnal interstitial glucose.
    Keywords:  Circadian rhythm; Food timing; Gestational diabetes; Hyperglycaemia; Hypoglycaemia; Pregnancy diet
    DOI:  https://doi.org/10.1007/s00125-026-06701-w
  3. Proc Natl Acad Sci U S A. 2026 Mar 17. 123(11): e2506313123
      Host circadian signaling, feeding, and the gut microbiome are tightly interconnected. Changes in the gut microbial community can affect the expression of core clock genes, but the specific metabolites and molecular mechanisms that mediate this relationship remain largely unknown. Here, we sought to identify gut microbial metabolites that impact circadian signaling. Through a phenotypic screen of a focused library of gut microbial metabolites, we identified a bile acid metabolite, lithocholic acid (LCA), as a circadian modulator. LCA lengthened the circadian period of core clock gene hPer2 transcription in a dose-responsive manner in human colonic cells. We found evidence that LCA modulates the casein kinase 1 δ/ε (CK1δ/ε)-protein phosphatase 1 (PP1) feedback loop and stabilizes core clock protein cryptochrome 2 (CRY2). Furthermore, we showed that LCA feeding alters circadian transcription in mouse distal ileum and colon. Taken together, our work identifies LCA as a molecular link between host circadian biology and the microbiome. Because bile acids are secreted in response to feeding, our work provides potential mechanistic insight into the molecular nature of the food-entrainable oscillator (FEO) by which peripheral clocks adapt to the timing of food intake. Given the association between circadian rhythm, feeding, and metabolic disease, our insights may offer an avenue for modulating host health.
    Keywords:  bile acids; circadian rhythm; microbiome
    DOI:  https://doi.org/10.1073/pnas.2506313123
  4. Diabetes Obes Metab. 2026 Mar 08.
       AIMS: Circadian regulation of metabolism is an important factor in metabolic health, yet the role of rhythmic metabolites in Type 2 diabetes development remains poorly understood. This study investigated associations between circulating rhythmic metabolites and incident Type 2 diabetes risk and evaluated causal relationships using two-sample Mendelian randomisation.
    MATERIALS AND METHODS: We analysed longitudinal data from 9992 community-dwelling adults aged 45-85 years (49.1% male) in the Canadian Longitudinal Study on Aging with baseline (2012-2015) serum metabolomics data. Untargeted metabolomics profiling was conducted using ultrahigh-performance liquid chromatography-tandem mass spectrometry. Incident Type 2 diabetes at 3-year follow-up was assessed based on diabetes medication use and HbA1c level. Associations between rhythmic metabolites and diabetes risk were evaluated using multivariable binomial regression. Pathway and network analyses were conducted to explore underlying biological mechanisms. Causality was assessed using two-sample Mendelian randomisation for rhythmic metabolites significantly associated with diabetes risk.
    RESULTS: Altogether, 20 rhythmic metabolites were associated with Type 2 diabetes risk, including a subset overlapping with genetic predisposition to chronotype, suggesting potential circadian regulation. Key pathways included leucine, isoleucine and valine biosynthesis and degradation, and glycine, serine and threonine metabolism. Mendelian randomisation analyses revealed causal associations between higher levels of mannose, valine, isoleucine, threonine and sphingomyelin (d18:0/18:0, d19:0/17:0) and higher Type 2 diabetes risk, whereas creatine, glycine, 1-linoleoyl-GPC (18:2), 1-palmitoyl-2-oleoyl-GPE, 1-palmitoyl-2-linoleoyl-GPE (16:0/18:2) and 1-stearoyl-2-oleoyl-GPE (18:0/18:1) were protective.
    CONCLUSIONS: Disruptions in rhythmic metabolites are implicated in Type 2 diabetes pathophysiology through specific metabolic pathways, highlighting the potential for biomarkers to support circadian-based prevention strategies.
    Keywords:  CLSA; Mendelian randomization; Type 2 diabetes; circadian rhythm; metabolomics; rhythmic
    DOI:  https://doi.org/10.1111/dom.70616