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Circadian metabolism is an emerging field aiming to elucidate the interconnected network between circadian biology and metabolism for better understanding of spatiotemporal organization of metabolism and to translate into improved fitness and health.
Time of eating is crucial to maintain the homeostasis of the body, in part through resetting the daily rhythms of organ physiology. It is generally thought that circadian-aligned night-restricted feeding (NRF, akin to 8-16 intermittent fasting) synchronizes the circadian physiology with the center of biological rhythms in the brain (hypothalamus), whereas circadian-misaligned day-restricted feeding (DRF, akin to Ramadan-style fasting) disrupts the harmony within the body and increases the risks to obesity- and age-associated non-communicable diseases, such as obesity, diabetes, and cardiovascular disease. Recently, Xin et al. and Chen et al. have reported that short-term DRF increases physical performance in rodent models by modulating the fat-muscle crosstalk via clock-modulated checkpoints.
CircaMetDB (Circadian Metabolism Multi-omics Profiles DataBase) is generated and timely updated by the Department of Cardiovascular Medicine, Center for Circadian Metabolism and Cardiovascular Disease, Southwest Hospital, Chongqing, China.
1. CircaMetDB provides a database to inquire whether your gene(s) of interest is expressed in a circadian manner and reset by feed-fast cycle in mouse tissues, such as the heart, liver, kidneys, gonadal visceral adipose tissue (GWAT), skeletal muscle, and anterior hypothalamus. (See “Search - mRNA” page)
2. Or to inquire whether a liver protein with/without any of its post-translational modification is rhythmic during different feeding rhythms. (See “Search - Proteome” page)
3. To inquire whether your favorite non-coding RNA, polar metabolite or lipid is circadian and entrained by time-restricted feeding. (See “Browse” page)
Rhythmicity statistics were assessed by MetaCycle, CircaCompare and RAIN algorithms. TRF, time-restricted feeding. NRF denotes night/wake time-restricted feeding or active-phase feeding. DRF denotes day/sleep time-restricted feeding or rest-phase feeding.
Suggested Citations:
Transcriptomics and metabolomics/lipidomics profiling
[1] Xin H, Huang R, Zhou M, Chen J, Zhang J, Zhou T, et al. Daytime-restricted feeding enhances running endurance without prior exercise in mice. Nat Metab 2023;5:1236–51. https://doi.org/10.1038/s42255-023-00826-7.
[2] Xin H, Deng F, Zhou M, Huang R, Ma X, Tian H, et al. A multi-tissue multi-omics analysis reveals distinct kinetics in entrainment of diurnal transcriptomes by inverted feeding. IScience 2021;24:102335. https://doi.org/10.1016/j.isci.2021.102335.
Proteomics and PTM-omics profiling:
[1] Chen J, Xiang J, Zhou M, Huang R, Zhang J, Cui Y, et al. Dietary timing enhances exercise by modulating fat-muscle crosstalk via adipocyte AMPKa2 signaling. Cell Metab 2025;37:1–17. https://doi.org/10.1016/j.cmet.2025.02.007.
[2] Huang R, Chen J, Zhou M, Xin H, Lam SM, Jiang X, et al. Multi-omics profiling reveals rhythmic liver function shaped by meal timing. Nat Commun 2023;14:6086. https://doi.org/10.1038/s41467-023-41759-9.
Stories behind science:
[1] Zhang Z, Yan L, Treebak JT, Li M. Circadian nutrition: is meal timing an elixir for fatigue? Sci Bull 2025;70:309–12. https://doi.org/10.1016/j.scib.2024.11.043.
[2] Jang C, Li M. Career pathways, part 16. Nat Metab 2025;7:231–3. https://doi.org/10.1038/s42255-024-01192-8.
[3] Li M-D. Clock-modulated checkpoints in time-restricted eating. Trends Mol Med 2022;28:25–35. https://doi.org/10.1016/j.molmed.2021.10.006.
[4] Zhang Z, Shui G, Li M-D. Time to eat reveals the hierarchy of peripheral clocks. Trends Cell Biol 2021;31:869–72. https://doi.org/10.1016/j.tcb.2021.08.003.
Resource:
CircaDB: Circadian Expression Profiles Data Base. http://circadb.hogeneschlab.org/
Nitecap: easy-to-use circadian and rhythmic analyses. https://nitecap.org/