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Network signatures link hepatic effects of anti-diabetic interventions with systemic disease parameters

Overview of attention for article published in BMC Systems Biology, September 2014
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  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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Title
Network signatures link hepatic effects of anti-diabetic interventions with systemic disease parameters
Published in
BMC Systems Biology, September 2014
DOI 10.1186/s12918-014-0108-0
Pubmed ID
Authors

Thomas Kelder, Lars Verschuren, Ben van Ommen, Alain J van Gool, Marijana Radonjic

Abstract

BackgroundMultifactorial diseases such as type 2 diabetes mellitus (T2DM), are driven by a complex network of interconnected mechanisms that translate to a diverse range of complications at the physiological level. To optimally treat T2DM, pharmacological interventions should, ideally, target key nodes in this network that act as determinants of disease progression.ResultsWe set out to discover key nodes in molecular networks based on the hepatic transcriptome dataset from a preclinical study in obese LDLR-/- mice recently published by Radonjic et al. Here, we focus on comparing efficacy of anti-diabetic dietary (DLI) and two drug treatments, namely PPARA agonist fenofibrate and LXR agonist T0901317. By combining knowledge-based and data-driven networks with a random walks based algorithm, we extracted network signatures that link the DLI and two drug interventions to dyslipidemia-related disease parameters.ConclusionsThis study identified specific and prioritized sets of key nodes in hepatic molecular networks underlying T2DM, uncovering pathways that are to be modulated by targeted T2DM drug interventions in order to modulate the complex disease phenotype.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 3 9%
Germany 1 3%
Unknown 31 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 49%
Student > Ph. D. Student 7 20%
Student > Master 3 9%
Student > Bachelor 2 6%
Lecturer 1 3%
Other 2 6%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 29%
Computer Science 6 17%
Biochemistry, Genetics and Molecular Biology 5 14%
Medicine and Dentistry 5 14%
Engineering 2 6%
Other 5 14%
Unknown 2 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 October 2014.
All research outputs
#13,392,287
of 23,940,793 outputs
Outputs from BMC Systems Biology
#416
of 1,134 outputs
Outputs of similar age
#107,654
of 242,277 outputs
Outputs of similar age from BMC Systems Biology
#10
of 32 outputs
Altmetric has tracked 23,940,793 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,134 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 63% 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 242,277 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 32 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 68% of its contemporaries.