Evidence map›Paper›PMID 26119966›Full record

ArticleImmunology2015

Mathematical model reveals how regulating the three phases of T-cell response could counteract immune evasion.

Tommaso Lorenzi, Rebecca H Chisholm, Matteo Melensi, Alexander Lorz, Marcello Delitala

Open access · bronzeAbstract read
In one paragraph

Article in Immunology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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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

5 authors at 5 institutions in 3 countries.

Tommaso LorenziCentre de Mathématiques et de Leurs Applications, ENS Cachan, CNRS, Cachan Cedex, France.
Rebecca H ChisholmSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia.
Matteo MelensiDepartment of Health Sciences, A. Avogadro Università del Piemonte Orientale, Novara, Italy.
Alexander LorzMAMBA Team, INRIA-Paris-Rocquencourt, Le Chesnay Cedex, France.
Marcello DelitalaDepartment of Mathematical Sciences, Politecnico di Torino, Torino, Italy.
Centre National de la Recherche Scientifique · FRÉcole Normale Supérieure Paris-Saclay · FRPolytechnic University of Turin · ITUniversità degli Studi del Piemonte Orientale “Amedeo Avogadro” · ITUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T cells are key players in immune action against the invasion of target cells expressing non-self antigens. During an immune response, antigen-specific T cells dynamically sculpt the antigenic distribution of target cells, and target cells concurrently shape the host's repertoire of antigen-specific T cells. The succession of these reciprocal selective sweeps can result in 'chase-and-escape' dynamics and lead to immune evasion. It has been proposed that immune evasion can be countered by immunotherapy strategies aimed at regulating the three phases of the immune response orchestrated by antigen-specific T cells: expansion, contraction and memory. Here, we test this hypothesis with a mathematical model that considers the immune response as a selection contest between T cells and target cells. The outcomes of our model suggest that shortening the duration of the contraction phase and stabilizing as many T cells as possible inside the long-lived memory reservoir, using dual immunotherapies based on the cytokines interleukin-7 and/or interleukin-15 in combination with molecular factors that can keep the immunomodulatory action of these interleukins under control, should be an important focus of future immunotherapy research.

Indexed as

Computer SimulationImmune EvasionLymphocyte ActivationModels, ImmunologicalAnimalsAntigensCell DeathCell ProliferationHumansImmunologic MemoryImmunotherapyNumerical Analysis, Computer-AssistedTime FactorsT-LymphocytesAntigensmathematical modellingmemoryT cellstheoretical immunologyvaccination

Identifiers

PMID26119966
PMCPMC4582968
OpenAlexW1510195410

What OpenQuestion holds

Textmetadata
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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.