Evidence map›Paper›PMID 29030870›Full record

ArticleImmunology2018

The competitive nature of signal transducer and activator of transcription complex formation drives phenotype switching of T cells.

Ildar I Sadreev, Michael Z Q Chen, Yoshinori Umezawa, Vadim N Biktashev, Claudia Kemper, Diana V Salakhieva, Gavin I Welsh, Nikolay V Kotov

Open access · bronzeAbstract read
In one paragraph

Article in Immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

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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

8 authors at 6 institutions in 6 countries.

Ildar I SadreevCentre for Systems, Dynamics and Control, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK.ORCID 0000-0003-2628-8287
Michael Z Q ChenSchool of Automation, Nanjing University of Science and Technology, Nanjing, Jiangsu, China.
Yoshinori UmezawaDepartment of Dermatology, The Jikei University School of Medicine, Minato-ku, Tokyo, Japan.
Vadim N BiktashevCentre for Systems, Dynamics and Control, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK.
Claudia KemperLaboratory of Molecular Immunology and Immunology Center, National Heart, Lung and Blood Institute, Bethesda, MD, USA.
Diana V SalakhievaInstitute of Fundamental Medicine and Biology, Kazan (Volga Region) Federal University, Kazan, Russia.
Gavin I WelshBristol Renal, School of Clinical Sciences, University of Bristol, Bristol, UK.
Nikolay V KotovBiophysics & Bionics Laboratory, Institute of Physics, Kazan (Volga Region) Federal University, Kazan, Russia.
Kazan Federal University · RUUniversity of Exeter · GBAt Bristol · GBJikei University School of Medicine · JPKing's College London · GBNanjing University of Science and Technology · CN

Funding

The role of the intracellular complement system - the complosome - in Th1 biologyZIAHL006223 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI KEMPER, CLAUDIA · 2017 to 2025
$16.9M
6 · The paper itself

Abstract

Signal transducers and activators of transcription (STATs) are key molecular determinants of T-cell fate and effector function. Several inflammatory diseases are characterized by an altered balance of T-cell phenotypes and cytokine secretion. STATs, therefore, represent viable therapeutic targets in numerous pathologies. However, the underlying mechanisms by which the same STAT proteins regulate both the development of different T-cell phenotypes and their plasticity during changes in extracellular conditions remain unclear. In this study, we investigated the STAT-mediated regulation of T-cell phenotype formation and plasticity using mathematical modelling and experimental data for intracellular STAT signalling proteins. The close fit of our model predictions to the experimental data allows us to propose a potential mechanism for T-cell switching. According to this mechanism, T-cell phenotype switching is the result of the relative redistribution of STAT dimer complexes caused by the extracellular cytokine-dependent STAT competition effects. The developed model predicts that the balance between the intracellular STAT species defines the amount of the produced cytokines and thereby T-cell phenotypes. The model predictions are consistent with the experimentally observed interferon-γ to interleukin-10 switching that regulates human T helper type 1/type 1 regulatory T-cell responses. The proposed model is applicable to a number of STAT signalling circuits.

Indexed as

Models, ImmunologicalHumansPhenotypeSignal TransductionSTAT Transcription FactorsT-LymphocytesSTAT Transcription Factorsinterferon-γinterleukin-10phenotype switchingsignal transducers and activators of transcriptionT cells

Identifiers

PMID29030870
PMCPMC5838427
OpenAlexW2581953446

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.