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Remodeling adipose tissue through in silico modulation of fat storage for the prevention of type 2 diabetes

Overview of attention for article published in BMC Systems Biology, June 2017
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1 tweeter

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Title
Remodeling adipose tissue through in silico modulation of fat storage for the prevention of type 2 diabetes
Published in
BMC Systems Biology, June 2017
DOI 10.1186/s12918-017-0438-9
Pubmed ID
Authors

Thierry Chénard, Frédéric Guénard, Marie-Claude Vohl, André Carpentier, André Tchernof, Rafael J. Najmanovich

Abstract

Type 2 diabetes is one of the leading non-infectious diseases worldwide and closely relates to excess adipose tissue accumulation as seen in obesity. Specifically, hypertrophic expansion of adipose tissues is related to increased cardiometabolic risk leading to type 2 diabetes. Studying mechanisms underlying adipocyte hypertrophy could lead to the identification of potential targets for the treatment of these conditions. We present iTC1390adip, a highly curated metabolic network of the human adipocyte presenting various improvements over the previously published iAdipocytes1809. iTC1390adip contains 1390 genes, 4519 reactions and 3664 metabolites. We validated the network obtaining 92.6% accuracy by comparing experimental gene essentiality in various cell lines to our predictions of biomass production. Using flux balance analysis under various test conditions, we predict the effect of gene deletion on both lipid droplet and biomass production, resulting in the identification of 27 genes that could reduce adipocyte hypertrophy. We also used expression data from visceral and subcutaneous adipose tissues to compare the effect of single gene deletions between adipocytes from each compartment. We generated a highly curated metabolic network of the human adipose tissue and used it to identify potential targets for adipose tissue metabolic dysfunction leading to the development of type 2 diabetes.

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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 22%
Student > Master 5 14%
Unspecified 3 8%
Other 2 6%
Student > Bachelor 2 6%
Other 5 14%
Unknown 11 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 17%
Agricultural and Biological Sciences 3 8%
Unspecified 3 8%
Computer Science 2 6%
Medicine and Dentistry 2 6%
Other 5 14%
Unknown 15 42%

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 17 June 2017.
All research outputs
#18,555,330
of 22,981,247 outputs
Outputs from BMC Systems Biology
#836
of 1,144 outputs
Outputs of similar age
#242,034
of 317,411 outputs
Outputs of similar age from BMC Systems Biology
#14
of 15 outputs
Altmetric has tracked 22,981,247 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,144 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 11th percentile – i.e., 11% 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 317,411 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.