↓ Skip to main content

CRF19_cpx is an Evolutionary fit HIV-1 Variant Strongly Associated With Rapid Progression to AIDS in Cuba

Overview of attention for article published in EBioMedicine, January 2015
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
25 news outlets
blogs
6 blogs
twitter
87 X users
weibo
2 weibo users
facebook
24 Facebook pages
wikipedia
8 Wikipedia pages

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
123 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
CRF19_cpx is an Evolutionary fit HIV-1 Variant Strongly Associated With Rapid Progression to AIDS in Cuba
Published in
EBioMedicine, January 2015
DOI 10.1016/j.ebiom.2015.01.015
Pubmed ID
Authors

Vivian Kouri, Ricardo Khouri, Yoan Alemán‬, Yeissel Abrahantes, Jurgen Vercauteren, Andrea-Clemencia Pineda-Peña, Kristof Theys, Sarah Megens, Michel Moutschen, Nico Pfeifer, Johan Van Weyenbergh, Ana B. Pérez, Jorge Pérez, Lissette Pérez, Kristel Van Laethem, Anne-Mieke Vandamme

Abstract

Clinicians reported an increasing trend of rapid progression (RP) (AIDS within 3 years of infection) in Cuba. Recently infected patients were prospectively sampled, 52 RP at AIDS diagnosis (AIDS-RP) and 21 without AIDS in the same time frame (non-AIDS). 22 patients were sampled at AIDS diagnosis (chronic-AIDS) retrospectively assessed as > 3 years infected. Clinical, demographic, virological, epidemiological and immunological data were collected. Pol and env sequences were used for subtyping, transmission cluster analysis, and prediction of resistance, co-receptor use and evolutionary fitness. Host, immunological and viral predictors of RP were explored through data mining. Subtyping revealed 26 subtype B strains, 6 C, 6 CRF18_cpx, 9 CRF19_cpx, 29 BG-recombinants and other subtypes/URFs. All patients infected with CRF19 belonged to the AIDS-RP group. Data mining identified CRF19, oral candidiasis and RANTES levels as the strongest predictors of AIDS-RP. CRF19 was more frequently predicted to use the CXCR4 co-receptor, had higher fitness scores in the protease region, and patients had higher viral load at diagnosis. CRF19 is a recombinant of subtype D (C-part of Gag, PR, RT and nef), subtype A (N-part of Gag, Integrase, Env) and subtype G (Vif, Vpr, Vpu and C-part of Env). Since subtypes D and A have been associated with respectively faster and slower disease progression, our findings might indicate a fit PR driving high viral load, which in combination with co-infections may boost RANTES levels and thus CXCR4 use, potentially explaining the fast progression. We propose that CRF19 is evolutionary very fit and causing rapid progression to AIDS in many newly infected patients in Cuba.

X Demographics

X Demographics

The data shown below were collected from the profiles of 87 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 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Belgium 1 <1%
South Africa 1 <1%
Brazil 1 <1%
Unknown 119 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 22%
Student > Ph. D. Student 20 16%
Student > Bachelor 19 15%
Researcher 14 11%
Other 9 7%
Other 19 15%
Unknown 15 12%
Readers by discipline Count As %
Medicine and Dentistry 28 23%
Agricultural and Biological Sciences 28 23%
Biochemistry, Genetics and Molecular Biology 15 12%
Immunology and Microbiology 8 7%
Computer Science 6 5%
Other 20 16%
Unknown 18 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 295. 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 December 2023.
All research outputs
#120,225
of 25,709,917 outputs
Outputs from EBioMedicine
#78
of 4,062 outputs
Outputs of similar age
#1,300
of 362,991 outputs
Outputs of similar age from EBioMedicine
#1
of 50 outputs
Altmetric has tracked 25,709,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,062 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.0. This one has done particularly well, scoring higher than 98% 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 362,991 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 50 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 98% of its contemporaries.