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Frequency of coreceptor tropism in PBMC samples from HIV-1 recently infected blood donors by massively parallel sequencing: the REDS II study

Overview of attention for article published in Virology Journal, May 2015
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3 tweeters

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Title
Frequency of coreceptor tropism in PBMC samples from HIV-1 recently infected blood donors by massively parallel sequencing: the REDS II study
Published in
Virology Journal, May 2015
DOI 10.1186/s12985-015-0307-3
Pubmed ID
Authors

Rodrigo Pessôa, Ester C Sabino, Sabri S Sanabani

Abstract

The interaction of HIV-1 and target cells involves sequential binding of the viral gp120 Env protein to the CD4 receptor and a chemokine co-receptor (either CCR5 or CXCR4). CCR5 antagonists have proved to be an effective salvage therapy in patients with CCR5 using variants (R5) but not with variants capable of using CXCR4 (×4) phenotype. Thus, it is critically important to determine cellular tropism of a country's circulating HIV strains to guide a management decision to improve treatment outcome. In this study, we report the prevalence of R5 and ×4 HIV strains in 45 proviral DNA massively parallel sequencing "MPS" data from recently infected Brazilian blood donors. The MPS data encompassing the tropism-related V3 loop region of the HIV-1 env gene was extracted from our recently published HIV-1 genomes sequenced by a paired-end protocol (Illumina). HIV-1 tropism was inferred using Geno2Pheno Geno2pheno[coreceptor] algorithm (3.5 % false-positive rate). V3 net charge and 11/25 rules were also used for coreceptor prediction. Among the 45 samples for which tropism were determined, 39 were exclusively R5 variants, 5 ×4 variants, and one dual-tropic or mixed (D/M) populations of R5 and ×4 viruses, corresponding to 86.7, 11.1 and 2.2 %, respectively. Thus, the proportion of all blood donors that harbor CXCR4-using virus was 13.3 % including individuals with D/M-tropic viruses. The presence of CCR5-tropic variants in more than 85 % of our cohort of antiretroviral-naïve blood donors with recent HIV-1 infection indicates a potential benefit of CCR5 antagonists as a therapeutic option in Brazil. Therefore, determination of viral co-receptor tropism is an important diagnostic prerequisite.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 19%
Researcher 4 15%
Student > Ph. D. Student 4 15%
Student > Bachelor 3 12%
Student > Doctoral Student 1 4%
Other 3 12%
Unknown 6 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 31%
Medicine and Dentistry 6 23%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Social Sciences 1 4%
Agricultural and Biological Sciences 1 4%
Other 0 0%
Unknown 9 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 18 May 2015.
All research outputs
#11,673,450
of 19,214,062 outputs
Outputs from Virology Journal
#1,366
of 2,735 outputs
Outputs of similar age
#118,437
of 241,058 outputs
Outputs of similar age from Virology Journal
#1
of 1 outputs
Altmetric has tracked 19,214,062 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,735 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.1. This one is in the 49th percentile – i.e., 49% 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 241,058 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them