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Insulin Resistance in HIV-Patients: Causes and Consequences

Overview of attention for article published in Frontiers in endocrinology, September 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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2 news outlets
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2 X users
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1 YouTube creator

Citations

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44 Dimensions

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109 Mendeley
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Title
Insulin Resistance in HIV-Patients: Causes and Consequences
Published in
Frontiers in endocrinology, September 2018
DOI 10.3389/fendo.2018.00514
Pubmed ID
Authors

Marcelo N. Pedro, Guilherme Z. Rocha, Dioze Guadagnini, Andrey Santos, Daniela O. Magro, Heloisa B. Assalin, Alexandre G. Oliveira, Rogerio de Jesus Pedro, Mario J. A. Saad

Abstract

Here we review how immune activation and insulin resistance contribute to the metabolic alterations observed in HIV-infected patients, and how these alterations increase the risk of developing CVD. The introduction and evolution of antiretroviral drugs over the past 25 years has completely changed the clinical prognosis of HIV-infected patients. The deaths of these individuals are now related to atherosclerotic CVDs, rather than from the viral infection itself. However, HIV infection, cART, and intestinal microbiota are associated with immune activation and insulin resistance, which can lead to the development of a variety of diseases and disorders, especially with regards to CVDs. The increase in LPS and proinflammatory cytokines circulating levels and intracellular mechanisms activate serine kinases, resulting in insulin receptor substrate-1 (IRS-1) serine phosphorylation and consequently a down regulation in insulin signaling. While lifestyle modifications and pharmaceutical interventions can be employed to treat these altered metabolic functions, the mechanisms involved in the development of these chronic complications remain largely unresolved. The elucidation and understanding of these mechanisms will give rise to new classes of drugs that will further improve the quality of life of HIV-infected patients, over the age of 50.

X Demographics

X Demographics

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 109 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 15%
Other 13 12%
Student > Ph. D. Student 9 8%
Student > Master 9 8%
Student > Doctoral Student 8 7%
Other 19 17%
Unknown 35 32%
Readers by discipline Count As %
Medicine and Dentistry 33 30%
Nursing and Health Professions 9 8%
Biochemistry, Genetics and Molecular Biology 8 7%
Immunology and Microbiology 6 6%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 9 8%
Unknown 40 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 11 June 2024.
All research outputs
#2,146,429
of 26,127,783 outputs
Outputs from Frontiers in endocrinology
#575
of 13,361 outputs
Outputs of similar age
#42,197
of 348,987 outputs
Outputs of similar age from Frontiers in endocrinology
#21
of 216 outputs
Altmetric has tracked 26,127,783 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,361 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 95% 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 348,987 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 216 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.