Nearly 95% of metabolites with a 24-h rhythmicity were influenced by external behavioral time cues during a simulated night-shift schedule.
Misaligned sleep/wake and feeding/fasting cycles may disturb peripheral clock functions.
A total of 132 circulating metabolites were analyzed for rhythmicity during a 24-h constant routine.
Approximately half of the metabolites exhibited 24-h rhythmicity under constant routine after both simulated shift schedules.
Traditional circadian markers such as melatonin and cortisol maintained stable phase alignment regardless of shift schedule.
Many metabolites showed altered rhythms, including reversed rhythms or loss of rhythmicity, particularly after the night-shift schedule.
Simplified
Misalignment between internal circadian rhythmicity and externally imposed behavioral schedules, such as occurs in shift workers, has been implicated in elevated risk of metabolic disorders. To determine underlying mechanisms, it is essential to assess whether and how peripheral clocks are disturbed during shift work and to what extent this is linked to the central suprachiasmatic nuclei (SCN) pacemaker and/or misaligned behavioral time cues. Investigating rhythms in circulating metabolites as biomarkers of peripheral clock disturbances may offer new insights. We evaluated the impact of misaligned sleep/wake and feeding/fasting cycles on circulating metabolites using a targeted approach. Sequential plasma samples obtained during a 24-h constant routine that followed a 3-d simulated night-shift schedule, compared with a simulated day-shift schedule, were analyzed for 132 circulating metabolites. Nearly half of these metabolites showed a 24-h rhythmicity under constant routine following either or both simulated shift schedules. However, while traditional markers of the circadian clock in the SCN-melatonin, cortisol, andexpression-maintained a stable phase alignment after both schedules, only a few metabolites did the same. Many showed reversed rhythms, lost their rhythms, or showed rhythmicity only under constant routine following the night-shift schedule. Here, 95% of the metabolites with a 24-h rhythmicity showed rhythms that were driven by behavioral time cues externally imposed during the preceding simulated shift schedule rather than being driven by the central SCN circadian clock. Characterization of these metabolite rhythms will provide insight into the underlying mechanisms linking shift work and metabolic disorders. PER3
Key numbers
65 of 132
with 24-h rhythmicity
Significant rhythmicity observed during constant routine after simulated shift work.
3
Stable rhythmic
Serotonin, taurine, and maintained rhythms after both day and night shifts.
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