Evidence map›Paper›PMID 24627733›Full record

ArticleThe open AIDS journal2014

Modulation of Regulatory T-Cell Subsets in Very Long-Term Treated Aviremic HIV(+) Patients and Untreated Viremic Patients.

Federico Serana, Marco Chiarini, Eugenia Quiros-Roldan, Daria Gotti, Cinzia Zanotti, Alessandra Sottini, Diego Bertoli, Luigi Caimi, Luisa Imberti

Abstract read
In one paragraph

Article in The open AIDS journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

9 authors.

Federico SeranaLaboratory of Biotechnology, Diagnostics Department, Spedali Civili of Brescia, Brescia, Italy.
Marco ChiariniLaboratory of Biotechnology, Diagnostics Department, Spedali Civili of Brescia, Brescia, Italy.
Eugenia Quiros-RoldanInstitute of Infectious and Tropical Diseases, University of Brescia, Brescia, Italy.
Daria GottiInstitute of Infectious and Tropical Diseases, University of Brescia, Brescia, Italy.
Cinzia ZanottiLaboratory of Biotechnology, Diagnostics Department, Spedali Civili of Brescia, Brescia, Italy.
Alessandra SottiniLaboratory of Biotechnology, Diagnostics Department, Spedali Civili of Brescia, Brescia, Italy.
Diego BertoliLaboratory of Biotechnology, Diagnostics Department, Spedali Civili of Brescia, Brescia, Italy.
Luigi CaimiLaboratory of Biotechnology, Diagnostics Department, Spedali Civili of Brescia, Brescia, Italy.
Luisa ImbertiLaboratory of Biotechnology, Diagnostics Department, Spedali Civili of Brescia, Brescia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Naïve, central- and effector-like memory regulatory T cells (Tregs) were evaluated in untreated and long-term antiretroviral-treated HIV(+) patients that showed comparable CD4(+) cell levels, while being, respectively, viremic and aviremic. In the untreated patients, the percentage of naïve-like Tregs was significantly increased to the detriment of central memory regulatory T cells. This redistribution of regulatory Treg subsets may contribute to explain the partially preserved CD4(+) cell counts seen in these patients despite the ongoing viremia. On the contrary, in the long-term treated patients, the percentages of Treg subsets were similar to those of healthy donors, demonstrating a restored Treg homeostasis. The characterization of Treg subsets, rather than an evaluation of the total Treg population, may lead to a deeper understanding of the Treg role in HIV infection and therapy.

Indexed as

combined antiretroviral therapy.HIVregulatory T cells

Identifiers

PMID24627733
PMCPMC3952203

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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.