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Rodent models to study the metabolic effects of shiftwork in humans

Overview of attention for article published in Frontiers in Pharmacology, March 2015
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Title
Rodent models to study the metabolic effects of shiftwork in humans
Published in
Frontiers in Pharmacology, March 2015
DOI 10.3389/fphar.2015.00050
Pubmed ID
Authors

Anne-Loes Opperhuizen, Linda W. M. van Kerkhof, Karin I. Proper, Wendy Rodenburg, Andries Kalsbeek

Abstract

Our current 24-h society requires an increasing number of employees to work nightshifts with millions of people worldwide working during the evening or night. Clear associations have been found between shiftwork and the risk to develop metabolic health problems, such as obesity. An increasing number of studies suggest that the underlying mechanism includes disruption of the rhythmically organized body physiology. Normally, daily 24-h rhythms in physiological processes are controlled by the central clock in the brain in close collaboration with peripheral clocks present throughout the body. Working schedules of shiftworkers greatly interfere with these normal daily rhythms by exposing the individual to contrasting inputs, i.e., at the one hand (dim)light exposure at night, nightly activity and eating and at the other hand daytime sleep and reduced light exposure. Several different animal models are being used to mimic shiftwork and study the mechanism responsible for the observed correlation between shiftwork and metabolic diseases. In this review we aim to provide an overview of the available animal studies with a focus on the four most relevant models that are being used to mimic human shiftwork: altered timing of (1) food intake, (2) activity, (3) sleep, or (4) light exposure. For all studies we scored whether and how relevant metabolic parameters, such as bodyweight, adiposity and plasma glucose were affected by the manipulation. In the discussion, we focus on differences between shiftwork models and animal species (i.e., rat and mouse). In addition, we comment on the complexity of shiftwork as an exposure and the subsequent difficulties when using animal models to investigate this condition. In view of the added value of animal models over human cohorts to study the effects and mechanisms of shiftwork, we conclude with recommendations to improve future research protocols to study the causality between shiftwork and metabolic health problems using animal models.

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The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 123 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 25%
Student > Bachelor 18 15%
Student > Master 16 13%
Researcher 13 11%
Student > Doctoral Student 10 8%
Other 20 16%
Unknown 15 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 21%
Neuroscience 20 16%
Medicine and Dentistry 19 15%
Biochemistry, Genetics and Molecular Biology 10 8%
Nursing and Health Professions 5 4%
Other 19 15%
Unknown 24 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 July 2015.
All research outputs
#13,938,371
of 22,796,179 outputs
Outputs from Frontiers in Pharmacology
#4,284
of 16,014 outputs
Outputs of similar age
#134,313
of 263,362 outputs
Outputs of similar age from Frontiers in Pharmacology
#27
of 82 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,014 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 71% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 263,362 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.