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Adaptive Reconfiguration of Natural Killer Cells in HIV-1 Infection

Overview of attention for article published in Frontiers in immunology, March 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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Title
Adaptive Reconfiguration of Natural Killer Cells in HIV-1 Infection
Published in
Frontiers in immunology, March 2018
DOI 10.3389/fimmu.2018.00474
Pubmed ID
Authors

Dimitra Peppa, Isabela Pedroza-Pacheco, Pierre Pellegrino, Ian Williams, Mala K. Maini, Persephone Borrow

Abstract

Human cytomegalovirus (HCMV) co-infection is highly prevalent within HIV-1 cohorts and is an important cofactor in driving ongoing immune activation, even during effective antiretroviral treatment. HCMV infection has recently been associated with expansion of adaptive-like natural killer (NK) cells, which harbor epigenetic alterations that impact on their cellular function and phenotype. The influence of HCMV co-infection on the considerable heterogeneity among NK cells and their functional responses to different stimuli was assessed in a cohort of HIV-1-infected individuals sampled during different stages of infection, compared with healthy subjects stratified according to HCMV serostatus. Our data demonstrate a reshaping of the NK cell pool in HIV-1 infection of HCMV-seropositive individuals, with an accentuated peripheral transition of CD56dim NK cells toward a mature CD57+ CD85j+ NKG2C+ NKG2A- phenotype. Lack of PLZF further distinguishes adaptive NK cells from other NK cells expressing CD57 or NKG2C. PLZF- NK cells from HIV-infected individuals had high expression of CD2, were Siglec-7 negative and exhibited downregulation of key signaling molecules, SYK and FcεRI-γ, overwhelmingly displaying features of adaptive NK cells that correlated with HCMV serum Ab levels. Notably this adaptive-like signature was detected during early HIV-1 infection and persisted during treatment. Adaptive-like NK cell subsets in HIV-1-infected individuals displayed enhanced IFN-γ production following Fc receptor triggering compared with their conventional NK cell counterparts, and their ability to produce TNF-α and degranulate was preserved. Together, these data suggest that HMCV infection/reactivation, a hallmark of HIV-1 infection, plays a role in driving a relative expansion of NK cells with adaptive features during HIV-1 infection. The identification of selective NK subsets with retained effector activity in HIV-1-infected subjects raises the possibility of developing therapeutic strategies that exploit specific NK subpopulations to achieve better HIV-1 control.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 16%
Student > Master 10 14%
Researcher 7 9%
Student > Doctoral Student 4 5%
Student > Bachelor 4 5%
Other 8 11%
Unknown 29 39%
Readers by discipline Count As %
Immunology and Microbiology 16 22%
Biochemistry, Genetics and Molecular Biology 12 16%
Medicine and Dentistry 8 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Agricultural and Biological Sciences 2 3%
Other 4 5%
Unknown 30 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 April 2018.
All research outputs
#4,405,344
of 26,184,649 outputs
Outputs from Frontiers in immunology
#4,825
of 33,037 outputs
Outputs of similar age
#80,524
of 355,589 outputs
Outputs of similar age from Frontiers in immunology
#157
of 700 outputs
Altmetric has tracked 26,184,649 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,037 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has done well, scoring higher than 85% 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 355,589 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 77% of its contemporaries.
We're also able to compare this research output to 700 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.