↓ Skip to main content

Common dysregulated pathways in obese adipose tissue and atherosclerosis

Overview of attention for article published in Cardiovascular Diabetology, August 2016
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
38 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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.

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

Geographical breakdown

Country Count As %
China 1 3%
Unknown 37 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Student > Ph. D. Student 6 16%
Unspecified 5 13%
Student > Doctoral Student 4 11%
Student > Master 4 11%
Other 12 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 29%
Medicine and Dentistry 8 21%
Unspecified 7 18%
Agricultural and Biological Sciences 5 13%
Economics, Econometrics and Finance 2 5%
Other 5 13%

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
#6,286,890
of 8,286,032 outputs
Outputs from Cardiovascular Diabetology
#401
of 574 outputs
Outputs of similar age
#179,565
of 252,710 outputs
Outputs of similar age from Cardiovascular Diabetology
#27
of 39 outputs
Altmetric has tracked 8,286,032 research outputs across all sources so far. This one is in the 13th percentile – i.e., 13% of other outputs scored the same or lower than it.
So far Altmetric has tracked 574 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 17th percentile – i.e., 17% 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 252,710 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.