Evidence map›Paper›PMID 34094548›Full record

ArticleClinical & translational immunology2021

Differential transcriptional and functional properties of regulatory T cells in HIV-infected individuals on antiretroviral therapy and long-term non-progressors.

Shima Shahbaz, Juan Jovel, Shokrollah Elahi

Open access · goldAbstract read
In one paragraph

Article in Clinical & translational immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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

20 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  5. HIV reservoirs in lymphomagenesis: hidden driver in the era of viral suppression?Microbiology and molecular biology reviews : MMBR · 2025
    Review
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  8. Polyfunctional CD8Molecular oncology · 2025
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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

3 authors at 1 institution in 1 country.

Shima ShahbazSchool of Dentistry Faculty of Medicine and Dentistry University of Alberta Edmonton AB Canada.
Juan JovelSchool of Dentistry Faculty of Medicine and Dentistry University of Alberta Edmonton AB Canada.
Shokrollah ElahiSchool of Dentistry Faculty of Medicine and Dentistry University of Alberta Edmonton AB Canada.ORCID https://orcid.org/0000-0002-7215-2009
University of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesRegulatory T cells (Tregs) are widely recognised as a subset of CD4

methodsRNA sequencing (RNAseq), flow cytometry-based immunophenotyping and functional assays were performed to study Tregs in different HIV cohorts.

resultsOur RNAseq analysis revealed that Tregs exhibit different transcriptional profiles in HIV-infected individuals. While Tregs from patients on ART upregulate pathways associated with a more suppressive (activated) phenotype, Tregs in LTNPs exhibit upregulation of pathways associated with impaired suppressive properties. These observations may explain a higher propensity for autoimmune diseases in LTNPs. Also, we found substantial upregulation of HLA-F mRNA and HLA-F protein in Tregs from HIV-infected subjects compared to healthy individuals. These observations highlight a potential role for this non-classical HLA in Tregs in the context of HIV infection, which should be investigated further in other chronic viral infections and cancer.

conclusionOur study has provided a novel insight into Tregs at the transcriptional and functional levels in different HIV-infected groups.

Indexed as

gene expressionHIV infectionlong‐term non‐progressorsregulatory T cells

Identifiers

PMID34094548
PMCPMC8155695
OpenAlexW3172814911

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.