Evidence map›Paper›PMID 24483185›Full record

ArticleBMC immunology2014

High CD56++CD16- natural killer (NK) cells among suboptimal immune responders after four years of suppressive antiretroviral therapy in an African adult HIV treatment cohort.

Lois Bayigga, Rose Nabatanzi, Prossy Naluyima Sekiziyivu, Harriet Mayanja-Kizza, Moses R Kamya, Andrew Kambugu, Joseph Olobo, Agnes Kiragga, Sam Kirimunda, Moses Joloba and 1 more

Abstract read
In one paragraph

Article in BMC immunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  4. Review
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  8. Article
  9. CD56International journal of general medicine · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Lois Bayigga
Rose Nabatanzi
Prossy Naluyima Sekiziyivu
Harriet Mayanja-Kizza
Moses R Kamya
Andrew Kambugu
Joseph Olobo
Agnes Kiragga
Sam Kirimunda
Moses Joloba
Damalie NakanjakoDepartment of Internal Medicine, Makerere University College of Health Sciences, Makerere University, Kampala, Uganda. dnakanjako@gmail.com.

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS · 1988 to 2026
$93.6M
University of California Global Health Institute Program for Fellows and ScholarsR25TW009343 · FIC · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COHEN, CRAIG R, STRATHDEE, STEFFANIE A. · 2012 to 2017
$6.4M
Training of Ugandans in Basic Research on TB and Emerging Infectious DiseasesD43TW009093 · FIC · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI ELLNER, JERROLD J. · 2014 to 2023
$2.2M
FIC NIH HHS D43 TW009093FIC NIH HHS R25 TW009343NIAID NIH HHS P30 AI027763Wellcome Trust 084344
6 · The paper itself

Abstract

backgroundUp to 40% of HIV-infected individuals receiving Highly Active Antiretroviral Therapy (HAART) have poor CD4+ T-cell recovery. The role of natural killer (NK) cells in immune recovery during HAART is not well understood. We described the profiles of NK cell subsets and their expression of activating receptor, NKG2D and cytotoxicity receptor NKp46 among suboptimal immune responders to despite four years of suppressive HAART.

methodsA case control study utilized frozen peripheral blood mononuclear cells (PBMC) from a cohort of HIV-infected adults that initiated HAART in 2004/5, at CD4 < 200 cells/μl. Cases were 'suboptimal' responders; patients within the lowest quartile of CD4+ T-cell reconstitution, with a median CD4 count increase of 129 (-43-199) cells/μl (difference between CD4 count at baseline and after 4 years of HAART) and controls were 'super-optimal' responders; patients within the highest quartile of CD4 T-cell reconstitution with a median CD4 count increase of 528 (416-878) cells/μl). Expression of NK cell lineage markers (CD56+/-CD16+/-) and receptors NKG2D and NKp46, was measured among PBMC from 29 cases of 'suboptimal' responders' and 23 controls of 'super-optimal responders', and compared among 'suboptimal' and 'super-optimal' responders. NK cell populations were compared using the Holm Sidak multiple comparison test and p values < 0.05 were considered statistically significant. Data was analyzed using FLOWJO and GraphPad Prism 6.

results'Suboptimal responders' had a higher proportion of cytokine producing CD56(++)CD16(+/-) (CD56bri) NK cells than the 'super-optimal responders' p = 0.017, and CD56(neg) NK cells were lower among suboptimal than super-optimal responders (p = 0.007). The largest NK cell subset, CD56(dim), was comparable among suboptimal responders and 'super-optimal immune responders'. Expression of NKG2D and NKp46 receptors on NK cell subsets (CD56(bri), CD56(neg) and CD56(dim)), was comparable among 'suboptimal' and 'super-optimal' immune responders.

conclusionsThe pro-inflammatory CD56++CD16-- NK cells were higher among 'suboptimal' responders relative to 'super-optimal' responders, despite four years of suppressive HAART. Alteration of NK cell populations could inhibit host immune responses to infections among suboptimal responders. We recommend further analysis of NK cell function among suboptimal immune responders in order to inform targeted interventions to optimize immune recovery among HAART-treated adults.

Indexed as

Black PeopleAdultAntiretroviral Therapy, Highly ActiveCase-Control StudiesCD56 AntigenHIV InfectionsHumansImmunophenotypingKiller Cells, NaturalLeukocytes, MononuclearNatural Cytotoxicity Triggering Receptor 1NK Cell Lectin-Like Receptor Subfamily KPhenotypeReceptors, IgGCD56 AntigenKLRK1 protein, humanNatural Cytotoxicity Triggering Receptor 1NCR1 protein, humanNK Cell Lectin-Like Receptor Subfamily KReceptors, IgG

Identifiers

PMID24483185
PMCPMC3915033

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.