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CD32-Expressing CD4 T Cells Are Phenotypically Diverse and Can Contain Proviral HIV DNA

Overview of attention for article published in Frontiers in immunology, May 2018
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Title
CD32-Expressing CD4 T Cells Are Phenotypically Diverse and Can Contain Proviral HIV DNA
Published in
Frontiers in immunology, May 2018
DOI 10.3389/fimmu.2018.00928
Pubmed ID
Authors

Genevieve E. Martin, Matthew Pace, John P. Thornhill, Chansavath Phetsouphanh, Jodi Meyerowitz, Morgane Gossez, Helen Brown, Natalia Olejniczak, Julianne Lwanga, Gita Ramjee, Pontiano Kaleebu, Kholoud Porter, Christian B. Willberg, Paul Klenerman, Nneka Nwokolo, Julie Fox, Sarah Fidler, John Frater

Abstract

Efforts to both characterize and eradicate the HIV reservoir have been limited by the rarity of latently infected cells and the absence of a specific denoting biomarker. CD32a (FcγRIIa) has been proposed to be a marker for an enriched CD4 T cell HIV reservoir, but this finding remains controversial. Here, we explore the expression of CD32 on CD3+CD4+ cells in participants from two primary HIV infection studies and identify at least three distinct phenotypes (CD32low, CD32+CD14+, and CD32high). Of note, CD4 negative enrichment kits remove the majority of CD4+CD32+ T cells, potentially skewing subsequent analyses if used. CD32high CD4 T cells had higher levels of HLA-DR and HIV co-receptor expression than other subsets, compatible with their being more susceptible to infection. Surprisingly, they also expressed high levels of CD20, TCRαβ, IgD, and IgM (but not IgG), markers for both T cells and naïve B cells. Compared with other populations, CD32low cells had a more differentiated memory phenotype and high levels of immune checkpoint receptors, programmed death receptor-1 (PD-1), Tim-3, and TIGIT. Within all three CD3+CD4+CD32+ phenotypes, cells could be identified in infected participants, which contained HIV DNA. CD32 expression on CD4 T cells did not correlate with HIV DNA or cell-associated HIV RNA (both surrogate measures of overall reservoir size) or predict time to rebound viremia following treatment interruption, suggesting that it is not a dominant biomarker for HIV persistence. Our data suggest that while CD32+ T cells can be infected with HIV, CD32 is not a specific marker of the reservoir although it might identify a population of HIV enriched cells in certain situations.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 16%
Student > Ph. D. Student 8 14%
Student > Bachelor 8 14%
Student > Master 6 10%
Student > Doctoral Student 3 5%
Other 8 14%
Unknown 16 28%
Readers by discipline Count As %
Immunology and Microbiology 14 24%
Medicine and Dentistry 12 21%
Agricultural and Biological Sciences 7 12%
Biochemistry, Genetics and Molecular Biology 5 9%
Computer Science 1 2%
Other 2 3%
Unknown 17 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 22 August 2019.
All research outputs
#14,411,265
of 25,411,814 outputs
Outputs from Frontiers in immunology
#11,689
of 31,614 outputs
Outputs of similar age
#165,848
of 339,826 outputs
Outputs of similar age from Frontiers in immunology
#339
of 717 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,614 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 61% 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 339,826 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 717 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.