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Identification of Mest/Peg1 gene expression as a predictive biomarker of adipose tissue expansion sensitive to dietary anti-obesity interventions

Overview of attention for article published in Genes & Nutrition, July 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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3 tweeters

Citations

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19 Dimensions

Readers on

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23 Mendeley
Title
Identification of Mest/Peg1 gene expression as a predictive biomarker of adipose tissue expansion sensitive to dietary anti-obesity interventions
Published in
Genes & Nutrition, July 2015
DOI 10.1007/s12263-015-0477-z
Pubmed ID
Authors

Anja Voigt, Joan Ribot, Agustín G. Sabater, Andreu Palou, M. Luisa Bonet, Susanne Klaus

Abstract

Food components with anti-obesity properties are commonly evaluated using mouse models of diet-induced obesity. The ability of these components to reduce or prevent white adipose tissue (WAT) accumulation is usually tested in feeding trials of several weeks duration in order to detect significant effects on fat mass expansion. Here, we aimed to identify early, predictive biomarkers for WAT expansion. We performed a 5-day high-fat diet (HFD) feeding trial with C57BL/6J mice using different established anti-obesity interventions: epigallocatechin gallate, replacing dietary lipids by n-3 PUFA, and increasing dietary protein. WAT gene expression was analyzed of genes known to be similarly affected by short- and long-term HFD. Gene expression of Leptin and Mest (mesoderm-specific transcript) was increased by HFD and normalized by all anti-obesity interventions. In a second experiment, translatability to whole blood-based expression data was assessed. Mice were challenged for 21 days with a HFD without or with simultaneous treatment with anti-obesity bioactives, hydroxytyrosol or resveratrol, and compared for parameters including Leptin and Mest expression in whole blood at day 5. While Leptin mRNA could not be detected in mouse whole blood, there was an induction of Mest mRNA by HFD which was suppressed by hydroxytyrosol. Moreover, Mest expression in whole blood at day 5 positively correlated with adiposity and negatively with lean body mass and the subcutaneous/visceral fat ratio at day 21. We conclude that gene expression of Leptin and Mest in WAT and of Mest in whole blood represent early, predictive markers of adipose tissue expansion of potential usefulness in nutritional studies and trials.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 9%
Turkey 1 4%
Canada 1 4%
Unknown 19 83%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 17%
Student > Master 3 13%
Professor 3 13%
Researcher 3 13%
Student > Doctoral Student 3 13%
Other 7 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 30%
Agricultural and Biological Sciences 6 26%
Medicine and Dentistry 4 17%
Unspecified 4 17%
Energy 1 4%
Other 1 4%

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 07 July 2015.
All research outputs
#7,141,424
of 12,445,334 outputs
Outputs from Genes & Nutrition
#155
of 315 outputs
Outputs of similar age
#103,207
of 233,042 outputs
Outputs of similar age from Genes & Nutrition
#4
of 10 outputs
Altmetric has tracked 12,445,334 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 315 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 50% 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 233,042 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.