Evidence map›Paper›PMID 42509289›Full record

ArticleNpj biological timing and sleep2026

Timing of feeding mitigates metabolic effects of circadian disruption.

Nathan J Skinner, Victoria A Acosta-Rodríguez, Filipa Rijo-Ferreira, Alexander Tups, Joseph S Takahashi

Abstract read
In one paragraph

Article in Npj biological timing and sleep, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Nathan J SkinnerDepartment of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Victoria A Acosta-RodríguezDepartment of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Filipa Rijo-FerreiraDepartment of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Alexander TupsCentre for Neuroendocrinology, Department of Physiology, Faculty of Biomedical Sciences, University of Otago, Dunedin, New Zealand. alexander.tups@otago.ac.nz.
Joseph S TakahashiDepartment of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA. Joseph.Takahashi@UTSouthwestern.edu.

Funding

UT Southwestern NORCP30DK127984 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI Jeffrey M Zigman · 2022 to 2026
$7.4M
Alumni of the University of Otago in America Inc MacGibbon FellowshipNIDDK NIH HHS P30 DK127984
6 · The paper itself

Abstract

Disrupted light-dark cycles and mistimed feeding are recognized metabolic stressors. In this study, we investigated the independent and combined effects of a 12:12 light:dark cycle, advanced by 6 h every 6 days (Chronic Disruption; CD), and time-restricted feeding on the metabolic health of male C57BL/6J mice. Ad libitum mice under the CD cycle gained significantly more body weight and body fat compared to animals under a control light cycle (LD), despite similar caloric intake and wheel running activity. Using specialized equipment to dissociate light cues from nutrient access, we demonstrate that light-cycle disruption induces metabolic dysfunction specifically through fragmented and misaligned eating patterns. Crucially, restricting food access to a 12-h window synchronized with the shifting dark phase abrogated the weight gain and adiposity observed in the ad libitum group. Conversely, shifting the feeding window under a stable light cycle significantly reduced food intake and weight gain, revealing that feeding regularity is a primary determinant of energy balance independent of light-cycle stability. Overall, while the light-dark cycle is the dominant zeitgeber for activity, the temporal consolidation of food intake is the primary driver of metabolic alignment, offering a potential intervention for managing metabolic risk in shift workers.

Identifiers

PMID42509289
PMCPMC13408633

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Registered trials

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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 OpenQuestion graph.