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Evaluation of markers of beige adipocytes in white adipose tissue of the mouse

Overview of attention for article published in Nutrition & Metabolism, March 2016
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Title
Evaluation of markers of beige adipocytes in white adipose tissue of the mouse
Published in
Nutrition & Metabolism, March 2016
DOI 10.1186/s12986-016-0081-2
Pubmed ID
Authors

Rolando A. Garcia, James N. Roemmich, Kate J. Claycombe

Abstract

There is a growing interest in exploiting the induction of beige or "brite" (brown in white) adipocytes (beigeing) to combat obesity and its comorbidities. However, there is some uncertainty regarding the best markers to evaluate the occurrence or magnitude of beigeing in white adipose tissue in the mouse model. We evaluated the transcript expression of several thermoregulatory genes and proposed beige markers employing cell culture, whole white adipose tissue, and the adipocyte and stromal vascular fractions. Most beige markers tested with the exception of TMEM26 can discriminate white from beige adipocytes in culture. Markers FGF21, P2RX5, PAT2, or CAR4 can successfully mark beigeing in whole tissue of younger mice, or in the adipocyte subfraction of older mice. However, markers for the thermoregulatory genes UCP1, CIDEA, and Cox8b displayed the greatest dynamic range and were consistently elevated in vitro, in vivo, and in the adipocyte fraction by treatments that induce beige adipogenesis. While most putative beige markers are clearly expressed in beige adipocytes in vitro, in vivo the small dynamic range of most of these markers, the strength of the beigeing stimulus, and the age of the mice may limit their utility, although this limitation may be overcome by specifically evaluating these markers in the adipocyte fraction. Thermoregulatory markers like UCP1, CIDEA, or Cox8b represent the best options to evaluate the beigeing of white adipose tissue in vivo.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 <1%
Unknown 130 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 25%
Researcher 20 15%
Student > Bachelor 19 15%
Student > Master 18 14%
Student > Postgraduate 11 8%
Other 19 15%
Unknown 11 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 49 37%
Agricultural and Biological Sciences 27 21%
Medicine and Dentistry 18 14%
Nursing and Health Professions 4 3%
Neuroscience 4 3%
Other 10 8%
Unknown 19 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 March 2016.
All research outputs
#6,429,351
of 7,424,901 outputs
Outputs from Nutrition & Metabolism
#464
of 504 outputs
Outputs of similar age
#233,783
of 276,266 outputs
Outputs of similar age from Nutrition & Metabolism
#21
of 21 outputs
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