Evidence map›Paper›PMID 25182274›Full record

ArticleNature communications2014

Sequential transcriptional changes dictate safe and effective antigen-specific immunotherapy.

Bronwen R Burton, Graham J Britton, Hai Fang, Johan Verhagen, Ben Smithers, Catherine A Sabatos-Peyton, Laura J Carney, Julian Gough, Stephan Strobel, David C Wraith

Open access · hybridAbstract read
In one paragraph

Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed, 2 pooled it
7.1field-weighted citation impact, top 2% 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

100 citing papers in PubMed, 2 syntheses or guidelines pooled it, 182 citations in OpenAlex.

  1. Pooled it
  2. Resisting Resistance to Immune Checkpoint Therapy: A Systematic Review.International journal of molecular sciences · 2020
    Pooled it
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40 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

10 authors at 1 institution in 1 country.

Bronwen R BurtonSchool of Cellular and Molecular Medicine, University of Bristol, Bristol BS8 1TD, UK.
Graham J BrittonSchool of Cellular and Molecular Medicine, University of Bristol, Bristol BS8 1TD, UK.
Hai FangComputational Genomics Group, Department of Computer Science, University of Bristol, Bristol BS8 1UB, UK.
Johan VerhagenSchool of Cellular and Molecular Medicine, University of Bristol, Bristol BS8 1TD, UK.
Ben SmithersComputational Genomics Group, Department of Computer Science, University of Bristol, Bristol BS8 1UB, UK.
Catherine A Sabatos-PeytonSchool of Cellular and Molecular Medicine, University of Bristol, Bristol BS8 1TD, UK.
Laura J CarneySchool of Cellular and Molecular Medicine, University of Bristol, Bristol BS8 1TD, UK.
Julian GoughComputational Genomics Group, Department of Computer Science, University of Bristol, Bristol BS8 1UB, UK.
Stephan StrobelDivision of Biomedical Sciences, Institute of Child Health, University College London, London WC1N 1EH, UK.
David C WraithSchool of Cellular and Molecular Medicine, University of Bristol, Bristol BS8 1TD, UK.
University of Bristol · GB

Funding

Biotechnology and Biological Sciences Research Council BB/G022771/1Multiple Sclerosis Society 900Wellcome TrustWellcome Trust 086779/Z/08/AWellcome Trust 091074/z/09/z
6 · The paper itself

Abstract

Antigen-specific immunotherapy combats autoimmunity or allergy by reinstating immunological tolerance to target antigens without compromising immune function. Optimization of dosing strategy is critical for effective modulation of pathogenic CD4(+) T-cell activity. Here we report that dose escalation is imperative for safe, subcutaneous delivery of the high self-antigen doses required for effective tolerance induction and elicits anergic, interleukin (IL)-10-secreting regulatory CD4(+) T cells. Analysis of the CD4(+) T-cell transcriptome, at consecutive stages of escalating dose immunotherapy, reveals progressive suppression of transcripts positively regulating inflammatory effector function and repression of cell cycle pathways. We identify transcription factors, c-Maf and NFIL3, and negative co-stimulatory molecules, LAG-3, TIGIT, PD-1 and TIM-3, which characterize this regulatory CD4(+) T-cell population and whose expression correlates with the immunoregulatory cytokine IL-10. These results provide a rationale for dose escalation in T-cell-directed immunotherapy and reveal novel immunological and transcriptional signatures as surrogate markers of successful immunotherapy.

Indexed as

AnimalsAntigens, CDAutoantigensBasic-Leucine Zipper Transcription FactorsCD4-Positive T-LymphocytesClonal AnergyComplex MixturesDesensitization, ImmunologicDose-Response Relationship, ImmunologicEncephalomyelitis, Autoimmune, ExperimentalFemaleFreund's AdjuvantGene Expression RegulationHepatitis A Virus Cellular Receptor 2Injections, SubcutaneousInterleukin-10Antigens, CDAutoantigensBasic-Leucine Zipper Transcription FactorsComplex MixturesFreund's AdjuvantHavcr2 protein, mouseHepatitis A Virus Cellular Receptor 2IL10 protein, mouseInterleukin-10Lag3 protein, mouseLymphocyte Activation Gene 3 ProteinMaf protein, mouseNfil3 protein, mousePdcd1 protein, mousePeptidesProgrammed Cell Death 1 ReceptorProto-Oncogene Proteins c-mafReceptors, ImmunologicReceptors, VirusT cell Ig and ITIM domain protein, mouse

Identifiers

PMID25182274
PMCPMC4167604
OpenAlexW2068848860

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.