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The influence of perivascular adipose tissue on vascular homeostasis

Overview of attention for article published in Vascular Health and Risk Management, April 2013
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1 tweeter

Citations

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86 Dimensions

Readers on

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106 Mendeley
Title
The influence of perivascular adipose tissue on vascular homeostasis
Published in
Vascular Health and Risk Management, April 2013
DOI 10.2147/vhrm.s33760
Pubmed ID
Authors

Theodora Szasz, G.f. Bomfim, Webb

Abstract

The perivascular adipose tissue (PVAT) is now recognized as an active contributor to vascular function. Adipocytes and stromal cells contained within PVAT are a source of an ever-growing list of molecules with varied paracrine effects on the underlying smooth muscle and endothelial cells, including adipokines, cytokines, reactive oxygen species, and gaseous compounds. Their secretion is regulated by systemic or local cues and modulates complex processes, including vascular contraction and relaxation, smooth muscle cell proliferation and migration, and vascular inflammation. Recent evidence demonstrates that metabolic and cardiovascular diseases alter the morphological and secretory characteristics of PVAT, with notable consequences. In obesity and diabetes, the expanded PVAT contributes to vascular insulin resistance. PVAT-derived cytokines may influence key steps of atherogenesis. The physiological anticontractile effect of PVAT is severely diminished in hypertension. Above all, a common denominator of the PVAT dysfunction in all these conditions is the immune cell infiltration, which triggers the subsequent inflammation, oxidative stress, and hypoxic processes to promote vascular dysfunction. In this review, we discuss the currently known mechanisms by which the PVAT influences blood vessel function. The important discoveries in the study of PVAT that have been made in recent years need to be further advanced, to identify the mechanisms of the anticontractile effects of PVAT, to explore the vascular-bed and species differences in PVAT function, to understand the regulation of PVAT secretion of mediators, and finally, to uncover ways to ameliorate cardiovascular disease by targeting therapeutic approaches to PVAT.

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

Geographical breakdown

Country Count As %
Brazil 2 2%
Portugal 1 <1%
United States 1 <1%
Argentina 1 <1%
Unknown 101 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 22%
Student > Ph. D. Student 21 20%
Researcher 15 14%
Student > Bachelor 15 14%
Professor > Associate Professor 8 8%
Other 24 23%
Readers by discipline Count As %
Medicine and Dentistry 35 33%
Agricultural and Biological Sciences 27 25%
Biochemistry, Genetics and Molecular Biology 16 15%
Unspecified 9 8%
Pharmacology, Toxicology and Pharmaceutical Science 9 8%
Other 10 9%

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 01 May 2013.
All research outputs
#3,554,158
of 4,507,280 outputs
Outputs from Vascular Health and Risk Management
#259
of 314 outputs
Outputs of similar age
#71,231
of 89,521 outputs
Outputs of similar age from Vascular Health and Risk Management
#14
of 17 outputs
Altmetric has tracked 4,507,280 research outputs across all sources so far. This one is in the 3rd percentile – i.e., 3% of other outputs scored the same or lower than it.
So far Altmetric has tracked 314 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 2nd percentile – i.e., 2% 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 89,521 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.