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HIV inhibits endothelial reverse cholesterol transport through impacting subcellular Caveolin-1 trafficking

Overview of attention for article published in Retrovirology, July 2015
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Title
HIV inhibits endothelial reverse cholesterol transport through impacting subcellular Caveolin-1 trafficking
Published in
Retrovirology, July 2015
DOI 10.1186/s12977-015-0188-y
Pubmed ID
Authors

Shanshan Lin, Peter E Nadeau, Ayalew Mergia

Abstract

Human immunodeficiency virus (HIV) infection leads to decreased reverse cholesterol transport (RCT) in macrophages, and Nef mediated down-regulation and redistribution of ATP-binding cassette transporter A1 (ABCA1) are identified as key factors for this effect. This may partially explain the increased risk of atherosclerosis in HIV infected individuals. Since endothelial dysfunction is key in the initial stages of atherosclerosis, we sought to determine whether RCT was affected in human aortic endothelial cells (HAECs). We found that apoA-I does not significantly stimulate cholesterol efflux in HAECs while cholesterol efflux to high-density lipoprotein (HDL) was dramatically reduced in HAECs co-cultured with HIV infected cells. Studies with wild type and Nef defective HIV revealed no significant differences suggesting that multiple factors are working perhaps in concert with Nef to affect cholesterol efflux to HDL from HAECs. Interestingly, treating HAECs with recombinant Nef showed similar effect in HDL mediated cholesterol efflux as observed in HAECs co-cultured with HIV infected cells. Using a detergent-free based subcellular fractionation approach, we demonstrated that exposure of HAECs to HIV infected cells or Nef alone disrupts caveolin 1 (Cav-1) subcellular trafficking upon HDL stimulation. Moreover, Nef significantly enhanced tyrosine 14 phosphorylation of Cav-1 which may have an impact on recycling of Cav-1 and caveolae. These results suggest that HIV interferes with cholesterol efflux by HDL in HAECs through the disruption of Cav-1s' cellular distribution and that multiple factors are involved, possibly including Nef, for the inhibition of HDL mediated cholesterol efflux and alteration of cellular distribution of Cav-1.

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The data shown below were collected from the profiles of 2 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 27%
Student > Ph. D. Student 3 12%
Professor 2 8%
Student > Bachelor 2 8%
Student > Master 2 8%
Other 1 4%
Unknown 9 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 19%
Medicine and Dentistry 4 15%
Biochemistry, Genetics and Molecular Biology 3 12%
Pharmacology, Toxicology and Pharmaceutical Science 2 8%
Immunology and Microbiology 1 4%
Other 1 4%
Unknown 10 38%
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 14 July 2015.
All research outputs
#17,286,645
of 25,377,790 outputs
Outputs from Retrovirology
#864
of 1,273 outputs
Outputs of similar age
#165,017
of 276,542 outputs
Outputs of similar age from Retrovirology
#21
of 30 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,273 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 19th percentile – i.e., 19% 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 276,542 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 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.