Evidence map›Paper›PMID 30116242›Full record

ReviewFrontiers in immunology2018

Natural Killer T Cells and Mucosal-Associated Invariant T Cells in Lung Infections.

François Trottein, Christophe Paget

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

33 citing papers in PubMed, 53 citations in OpenAlex.

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  10. Mucosal vaccines - fortifying the frontiers.Nature reviews. Immunology · 2022
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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

2 authors at 2 institutions in 1 country.

François TrotteinUniv. Lille, U1019 - UMR 8204 - CIIL - Centre d'Infection et d'Immunité de Lille, Lille, France.
Christophe PagetInstitut National de la Santé et de la Recherche Médicale U1100, Centre d'Etude des Pathologies Respiratoires (CEPR), Tours, France.
Centre d'Étude des Pathologies RespiratoiresInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The immune system has been traditionally divided into two arms called innate and adaptive immunity. Typically, innate immunity refers to rapid defense mechanisms that set in motion within minutes to hours following an insult. Conversely, the adaptive immune response emerges after several days and relies on the innate immune response for its initiation and subsequent outcome. However, the recent discovery of immune cells displaying merged properties indicates that this distinction is not mutually exclusive. These populations that span the innate-adaptive border of immunity comprise, among others, CD1d-restricted natural killer T cells and MR1-restricted mucosal-associated invariant T cells. These cells have the unique ability to swiftly activate in response to non-peptidic antigens through their T cell receptor and/or to activating cytokines in order to modulate many aspects of the immune response. Despite they recirculate all through the body

Indexed as

Adaptive ImmunityAnimalsAntigens, CD1dHistocompatibility Antigens Class IHumansImmunity, InnateImmunotherapy, AdoptiveMinor Histocompatibility AntigensMucosal-Associated Invariant T CellsNatural Killer T-CellsPneumonia, BacterialPneumonia, ViralTuberculosis, PulmonaryVaccinesAntigens, CD1dCD1D protein, humanHistocompatibility Antigens Class IMinor Histocompatibility AntigensMR1 protein, humanVaccinesbacteriaimmunotherapyinfectionlungmucosal-associated invariant T cellsmucosal immunitynatural killer T cellsviruses

Identifiers

PMID30116242
PMCPMC6082944
OpenAlexW2886219342

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.