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Lack of concordance between residual viremia and viral variants driving de novo infection of CD4+ T cells on ART

Overview of attention for article published in Retrovirology, August 2016
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Title
Lack of concordance between residual viremia and viral variants driving de novo infection of CD4+ T cells on ART
Published in
Retrovirology, August 2016
DOI 10.1186/s12977-016-0282-9
Pubmed ID
Authors

Maria C. Puertas, Marc Noguera-Julian, Marta Massanella, Christian Pou, Maria J. Buzon, Bonaventura Clotet, Mario Stevenson, Roger Paredes, Julià Blanco, Javier Martinez-Picado

Abstract

In most patients, current antiretroviral therapy (ART) regimens can rapidly reduce plasma viral load. However, even after years of effective treatment, a significant proportion of patients show residual plasma viremia below the clinical detection limit. Although residual viremia might be associated with increased chronic immune activation and morbidity, its origin and its potential role in the replenishment of the viral reservoir during suppressive ART is not completely understood. We performed an in-depth genetic analysis of the total and episomal cell-associated viral DNA (vDNA) repertoire in purified CD4(+) T cell subsets of three HIV-infected individuals, and used phylogenetic analysis to explore its relationship with plasma viruses. The predominant proviral reservoir was established in naïve or memory (central and transitional) CD4(+) T cell subsets in patients harboring X4- or R5-tropic viruses, respectively. Regardless of the viral tropism, most plasma viruses detected under suppressive ART resembled the proviral reservoir identified in effector and transitional memory CD4(+) T-cell subsets in blood, suggesting that residual viremia originates from these cells in either blood or lymphoid tissue. Most importantly, sequences in episomal vDNA in CD4(+) T-cells were not well represented in residual viremia. Viral tropism determines the differential distribution of viral reservoir among CD4(+) T-cell subsets. In spite of viral tropism, the effector and transitional memory CD4(+) T-cells subsets are the main source of residual viremia during suppressive ART, even though their contribution to the total proviral pool is small. However, the lack of concordance between residual viremia and viral variants driving de novo infection of CD4(+) T cells on ART may reflect the predominance of defective plasma HIV RNA genomes. These findings highlight the need for monitoring the multiple viral RNA/DNA persistence markers, based on their differential contribution to viral persistence.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 32%
Student > Master 7 15%
Student > Ph. D. Student 4 9%
Student > Bachelor 3 6%
Other 3 6%
Other 9 19%
Unknown 6 13%
Readers by discipline Count As %
Medicine and Dentistry 14 30%
Immunology and Microbiology 9 19%
Agricultural and Biological Sciences 7 15%
Biochemistry, Genetics and Molecular Biology 5 11%
Unspecified 1 2%
Other 2 4%
Unknown 9 19%
Attention Score in Context

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 13 May 2017.
All research outputs
#14,268,952
of 22,881,964 outputs
Outputs from Retrovirology
#693
of 1,108 outputs
Outputs of similar age
#216,030
of 366,909 outputs
Outputs of similar age from Retrovirology
#19
of 27 outputs
Altmetric has tracked 22,881,964 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,108 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 34th percentile – i.e., 34% 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 366,909 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.