Evidence map›Paper›PMID 23995627›Full record

ReviewNature reviews. Immunology2013

The speed of change: towards a discontinuity theory of immunity?

Thomas Pradeu, Sébastien Jaeger, Eric Vivier

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Immunology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 1 pooled it
7.2field-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

82 citing papers in PubMed, 1 synthesis or guideline pooled it, 183 citations in OpenAlex.

  1. Pooled it
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  14. Reuniting philosophy and science to advance cancer research.Biological reviews of the Cambridge Philosophical Society · 2023
    Article
  15. Article
  16. An inference model gives insights into innate immune adaptation and repertoire diversity.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  17. Review
  18. Article
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22 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Thomas PradeuUniversité Paris-Sorbonne, Philosophy Department, 1 rue Victor Cousin, 75005 Paris, France.
Sébastien Jaeger
Eric Vivier
Aix-Marseille Université · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunology - though deeply experimental in everyday practice - is also a theoretical discipline. Recent advances in the understanding of innate immunity, how it is triggered and how it shares features that have previously been uniquely ascribed to the adaptive immune system, can contribute to the refinement of the theoretical framework of immunology. In particular, natural killer cells and macrophages are activated by transient modifications, but adapt to long-lasting modifications that occur in the surrounding tissue environment. This process facilitates the maintenance of self-tolerance while permitting efficient immune responses. In this Essay we extend this idea to other components of the immune system and we propose some general principles that lay the foundations for a unifying theory of immunity - the discontinuity theory. According to this theoretical framework, effector immune responses (namely, activated responses that lead to the potential elimination of the target antigen) are induced by an antigenic discontinuity; that is, by the sudden modification of molecular motifs with which immune cells interact.

Indexed as

Immunity, InnateModels, ImmunologicalAnimalsAntigens, BacterialAntigens, ViralAutoantigensGene ExpressionHumansKiller Cells, NaturalMacrophagesSelf ToleranceTime FactorsAntigens, BacterialAntigens, ViralAutoantigens

Identifiers

PMID23995627
OpenAlexW2064189084

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.