Evidence map›Paper›PMID 27124481›Full record

ReviewClinical and experimental immunology2016

Phenotypical characterization of regulatory T cells in humans and rodents.

A L Rodríguez-Perea, E D Arcia, C M Rueda, P A Velilla

Abstract readReview
In one paragraph

Review in Clinical and experimental immunology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.

0numbers the graph read from it
0cells of the map it votes in
97citing 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

97 citing papers in PubMed.

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37 more citing papers are in PubMed but not listed here.

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

4 authors.

A L Rodríguez-PereaGrupo Inmunovirología, Facultad de Medicina, Universidad de Antioquia UdeA, Medellín, Colombia.
E D ArciaGrupo Inmunovirología, Facultad de Medicina, Universidad de Antioquia UdeA, Medellín, Colombia.
C M RuedaClinical Laboratory, Cancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
P A VelillaGrupo Inmunovirología, Facultad de Medicina, Universidad de Antioquia UdeA, Medellín, Colombia.ORCID 0000-0003-0885-1320

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regulatory T cells (Tregs ) constitute a fascinating subpopulation of CD4(+) T cells due to their ability to limit the immune response against self and non-self antigens. Murine models and antibodies directed against surface and intracellular molecules have allowed elucidation of the mechanisms that govern their development and function. However, these markers used to their classification lack of specificity, as they can be expressed by activated T cells. Similarly, there are slight differences between animal models, in steady state and pathological conditions, anatomical localization and strategy of analysis by flow cytometry. Here, we revised the most common markers utilized for Treg typification by flow cytometry such as CD25, forkhead box protein 3 (FoxP3) and CD127, along with our data obtained in different body compartments of humans, mice and rats. Furthermore, we revised and determined the expression of other molecules important for the phenotypical characterization of Treg cells. We draw attention to the drawbacks of those markers used in chronic states of inflammation. However, until a specific marker for the identification of Tregs is discovered, the best combination of markers will depend upon the tissue or the degree of inflammation from which Tregs derive.

Indexed as

AnimalsBiomarkersCD4 AntigensFlow CytometryForkhead Transcription FactorsHumansInflammationLymph NodesLymphocyte ActivationMicePhenotypeRatsSpleenT-Lymphocytes, RegulatoryBiomarkersCD4 AntigensForkhead Transcription Factorshumanregulatory T cellsrodentspleen and lymph nodes

Identifiers

PMID27124481
PMCPMC4991523

What OpenQuestion holds

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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.