Evidence map›Paper›PMID 29746501›Full record

ArticlePloS one2018

Dietary challenges differentially affect activity and sleep/wake behavior in mus musculus: Isolating independent associations with diet/energy balance and body weight.

Isaac J Perron, Brendan T Keenan, Karthikeyani Chellappa, Nicholas F Lahens, Nicole L Yohn, Keith R Shockley, Allan I Pack, Sigrid C Veasey

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

8 authors.

Isaac J PerronCenter for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0002-2080-6189
Brendan T KeenanCenter for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Karthikeyani ChellappaInstitute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Nicholas F LahensDepartment of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Nicole L YohnDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Keith R ShockleyBiostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, United States of America.
Allan I PackCenter for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Sigrid C VeaseyCenter for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.

Funding

Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Trevor M Penning · 2006 to 2026
$35.3M
THE ROLE OF SLEEP IN MEMORY STORAGEP01AG017628 · NIA · UNIVERSITY OF PENNSYLVANIA · PI PACK, ALLAN I · 2001 to 2017
$19.2M
Short Sleep: Locus Coeruleus Metabolics and the Temporal Progression of AlzheimersRF1AG054104 · NIA · UNIVERSITY OF PENNSYLVANIA · PI VEASEY, SIGRID C · 2016 to 2016
$3.1M
Metabolic regulation of wakefulnessR01HL123331 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI VEASEY, SIGRID C · 2015 to 2018
$2.2M
Shift Work Sleep Loss: Locus Coeruleus Neuron Senescence and DegenerationR01HL124576 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI VEASEY, SIGRID C · 2014 to 2017
$1.8M
DNA Microarray Data AnalysisZIAES103166 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI SHOCKLEY, KEITH · 2013 to 2025
$1.3M
Defining mechanisms that regulate diet-induced wake impairmentsF31HL128124 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI PERRON, ISAAC JEFFREY · 2015 to 2017
$98k
NHLBI NIH HHS F31 HL128124NHLBI NIH HHS R01 HL123331NHLBI NIH HHS R01 HL124576NIA NIH HHS P01 AG017628NIA NIH HHS RF1 AG054104NIEHS NIH HHS P30 ES013508NIH HHS HL123331NIH HHS HL124576NIH HHS HL128124NIH HHS P01-AG017628
6 · The paper itself

Abstract

BACKGROUND AND

aimsAssociated with numerous metabolic and behavioral abnormalities, obesity is classified by metrics reliant on body weight (such as body mass index). However, overnutrition is the common cause of obesity, and may independently contribute to these obesity-related abnormalities. Here, we use dietary challenges to parse apart the relative influence of diet and/or energy balance from body weight on various metabolic and behavioral outcomes. MATERIALS AND

methodsSeventy male mice (mus musculus) were subjected to the diet switch feeding paradigm, generating groups with various body weights and energetic imbalances. Spontaneous activity patterns, blood metabolite levels, and unbiased gene expression of the nutrient-sensing ventral hypothalamus (using RNA-sequencing) were measured, and these metrics were compared using standardized multivariate linear regression models.

resultsSpontaneous activity patterns were negatively related to body weight (p<0.0001) but not diet/energy balance (p = 0.63). Both body weight and diet/energy balance predicted circulating glucose and insulin levels, while body weight alone predicted plasma leptin levels. Regarding gene expression within the ventral hypothalamus, only two genes responded to diet/energy balance (neuropeptide y [npy] and agouti-related peptide [agrp]), while others were related only to body weight.

conclusionsCollectively, these results demonstrate that individual components of obesity-specifically obesogenic diets/energy imbalance and elevated body mass-can have independent effects on metabolic and behavioral outcomes. This work highlights the shortcomings of using body mass-based indices to assess metabolic health, and identifies novel associations between blood biomarkers, neural gene expression, and animal behavior following dietary challenges.

Indexed as

Agouti-Related ProteinAnimalsBehavior, AnimalBiomarkersBody WeightCircadian RhythmDietEnergy IntakeEnergy MetabolismGene ExpressionHypothalamusLeptinMaleMiceMice, Inbred C57BLNeuropeptide YAgouti-Related ProteinBiomarkersLeptinNeuropeptide Y

Identifiers

PMID29746501
PMCPMC5945034

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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.