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Common dysregulated pathways in obese adipose tissue and atherosclerosis

Overview of attention for article published in Cardiovascular Diabetology, August 2016
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Title
Common dysregulated pathways in obese adipose tissue and atherosclerosis
Published in
Cardiovascular Diabetology, August 2016
DOI 10.1186/s12933-016-0441-2
Pubmed ID
Authors

V. Moreno-Viedma, M. Amor, A. Sarabi, M. Bilban, G. Staffler, M. Zeyda, T. M. Stulnig

Abstract

The metabolic syndrome is becoming increasingly prevalent in the general population that is at simultaneous risk for both type 2 diabetes and cardiovascular disease. The critical pathogenic mechanisms underlying these diseases are obesity-driven insulin resistance and atherosclerosis, respectively. To obtain a better understanding of molecular mechanisms involved in pathogenesis of the metabolic syndrome as a basis for future treatment strategies, studies considering both inherent risks, namely metabolic and cardiovascular, are needed. Hence, the aim of this study was to identify pathways commonly dysregulated in obese adipose tissue and atherosclerotic plaques. We carried out a gene set enrichment analysis utilizing data from two microarray experiments with obese white adipose tissue and atherosclerotic aortae as well as respective controls using a combined insulin resistance-atherosclerosis mouse model. We identified 22 dysregulated pathways common to both tissues with p values below 0.05, and selected inflammatory response and oxidative phosphorylation pathways from the Hallmark gene set to conduct a deeper evaluation at the single gene level. This analysis provided evidence of a vast overlap in gene expression alterations in obese adipose tissue and atherosclerosis with Il7r, C3ar1, Tlr1, Rgs1 and Semad4d being the highest ranked genes for the inflammatory response pathway and Maob, Bckdha, Aldh6a1, Echs1 and Cox8a for the oxidative phosphorylation pathway. In conclusion, this study provides extensive evidence for common pathogenic pathways underlying obesity-driven insulin resistance and atherogenesis which could provide a basis for the development of novel strategies to simultaneously prevent type 2 diabetes and cardiovascular disease in patients with metabolic syndrome.

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The data shown below were collected from the profile of 1 X user 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 2%
Unknown 61 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 15%
Researcher 8 13%
Student > Ph. D. Student 7 11%
Student > Bachelor 7 11%
Student > Doctoral Student 5 8%
Other 11 18%
Unknown 15 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 21%
Medicine and Dentistry 10 16%
Agricultural and Biological Sciences 8 13%
Nursing and Health Professions 3 5%
Economics, Econometrics and Finance 2 3%
Other 6 10%
Unknown 20 32%
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 27 August 2016.
All research outputs
#18,468,369
of 22,884,315 outputs
Outputs from Cardiovascular Diabetology
#1,044
of 1,386 outputs
Outputs of similar age
#259,271
of 338,621 outputs
Outputs of similar age from Cardiovascular Diabetology
#24
of 34 outputs
Altmetric has tracked 22,884,315 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 1,386 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.