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2018 ; 115
(30
): 7825-7830
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Separation of circadian- and behavior-driven metabolite rhythms in humans
provides a window on peripheral oscillators and metabolism
#MMPMID29991600
Skene DJ
; Skornyakov E
; Chowdhury NR
; Gajula RP
; Middleton B
; Satterfield BC
; Porter KI
; Van Dongen HPA
; Gaddameedhi S
Proc Natl Acad Sci U S A
2018[Jul]; 115
(30
): 7825-7830
PMID29991600
show ga
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 metabolomics
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, and PER3
expression-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.