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The FAT expandability (FATe) Project: Biomarkers to determine the limit of expansion and the complications of obesity

Overview of attention for article published in Cardiovascular Diabetology, April 2015
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Title
The FAT expandability (FATe) Project: Biomarkers to determine the limit of expansion and the complications of obesity
Published in
Cardiovascular Diabetology, April 2015
DOI 10.1186/s12933-015-0203-6
Pubmed ID
Authors

Elena Torres-Perez, Monica Valero, Beatriz Garcia-Rodriguez, Yolanda Gonzalez-Irazabal, Pilar Calmarza, Luisa Calvo-Ruata, Carmen Ortega, Maria Pilar Garcia-Sobreviela, Alejandro Sanz-Paris, Jose Maria Artigas, Javier Lagos, Jose M Arbones-Mainar

Abstract

Obesity is an excessive accumulation of fat frequently, but not always, associated with health problems, mainly type 2 diabetes and cardiovascular disease. During a positive energy balance, as caused by excessive intake or sedentary lifestyle, subcutaneous adipose tissue expands and accumulates lipids as triglycerides. However, the amount of adipose tissue per se is unlikely to be the factor linking obesity and metabolic complications. The expandability hypothesis states that, if this positive energy balance is prolonged, a point is eventually reached where subcutaneous adipose tissue can not further expand and energy surplus no longer can be safely stored. Once the limit on storage capacity has been exceeded, the dietary lipids start spilling and accumulate ectopically in other organs (omentum, liver, muscle, pancreas) forming lipid byproducts toxic to cells. FATe is a multidisciplinary clinical project aimed to fill gaps that still exist in the expandability hypothesis. Imaging techniques (CT-scan), metabolomics, and transcriptomics will be used to identify the factors that set the limit expansion of subcutaneous adipose tissue in a cohort of caucasian individuals with varying degrees of adiposity. Subsequently, a set of biomarkers that inform the individual limits of expandability will be developed using computational and mathematical modeling. A different validation cohort will be used to minimize the risk of false positive rates and increase biomarkers' predictive performance. The work proposed here will render a clinically useful screening method to predict which obese individuals will develop metabolic derangements, specially diabetes and cardiovascular disease. This study will also provide mechanistic evidence that promoting subcutaneous fat expansion might be a suitable therapy to reduce metabolic complications associated with positive energy balance characteristic of Westernized societies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 22%
Student > Ph. D. Student 11 19%
Other 7 12%
Student > Master 6 10%
Student > Bachelor 5 9%
Other 7 12%
Unknown 9 16%
Readers by discipline Count As %
Medicine and Dentistry 12 21%
Biochemistry, Genetics and Molecular Biology 8 14%
Nursing and Health Professions 5 9%
Agricultural and Biological Sciences 4 7%
Computer Science 2 3%
Other 7 12%
Unknown 20 34%
Attention Score in Context

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 April 2015.
All research outputs
#18,781,379
of 23,940,793 outputs
Outputs from Cardiovascular Diabetology
#1,073
of 1,466 outputs
Outputs of similar age
#184,977
of 268,558 outputs
Outputs of similar age from Cardiovascular Diabetology
#17
of 27 outputs
Altmetric has tracked 23,940,793 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,466 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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 268,558 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.