ReviewFEBS letters2026
Time after time - circadian clocks through the lens of oscillator theory.
Review in FEBS letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Theoretical chronobiology of circadian timing-gold mine or minefield?Npj biological timing and sleep · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Biological systems are fundamentally rhythmic, with oscillations emerging at multiple scales, from intracellular gene circuits to organ-level coordination. Many of these rhythms, including the circadian clock, arise from feedback-driven genetic networks that interact to produce coherent temporal organisation. In this review, we examine the circadian system as a model for understanding the dynamics of coupled biological oscillators. We introduce the core theoretical concepts of delayed feedback, nonlinearity and coupling, and show how these principles govern the emergence of synchronisation, entrainment, and complex dynamics across cellular populations and tissues. Drawing on tools from nonlinear dynamics, we explore how oscillator models help explain robustness, plasticity, and failure modes in circadian systems. Finally, we discuss how this theoretical framework informs experimental design and translational applications in circadian medicine, from optimising drug timing to understanding rhythm disruptions in disease.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.