Evidence map›Paper›PMID 29867994›Full record

ReviewFrontiers in immunology2018

Dual Role of Toll-like Receptors in Human and Experimental Asthma Models.

Amin Zakeri, Momtchilo Russo

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 75 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 1 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

75 citing papers in PubMed, 1 synthesis or guideline pooled it, 133 citations in OpenAlex.

  1. A molecular systems architecture of asthma.Frontiers in immunology · 2026
    Pooled it
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  8. Molecular Study from the Signaling Pathways of Four PotentialInternational journal of molecular sciences · 2025
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15 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

2 authors at 2 institutions in 2 countries.

Amin ZakeriDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Momtchilo RussoDepartment of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Aarhus University Hospital · DKUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma is a chronic airway inflammatory disease that is influenced by the interplay between genetic factors and exposure to environmental allergens, microbes, or microbial products where toll-like receptors (TLRs) play a pivotal role. TLRs recognize a wide range of microbial or endogenous molecules as well as airborne environmental allergens and act as adjuvants that influence positively or negatively allergic sensitization. TLRs are qualitatively and differentially expressed on hematopoietic and non-hematopoietic stromal or structural airway cells that when activated by TLRs agonists exert an immune-modulatory role in asthma development. Therefore, understanding mechanisms and pathways by which TLRs orchestrate asthma outcomes may offer new strategies to control the disease. Here, we aim to review and critically discuss the role of TLRs in human asthma and murine models of allergic airway inflammation, highlighting the complexity of TLRs function in development, exacerbation, or control of airway allergic inflammation.

Indexed as

Signal TransductionAllergensAnimalsAsthmaDendritic CellsDisease Models, AnimalEosinophilsHumansInflammationMast CellsMiceRespiratory SystemTh17 CellsTh1 CellsTh2 CellsToll-Like ReceptorsAllergensToll-Like Receptorsasthmaasthma modelsbacterial lipopolysaccharideTh2/Th1/Th17 cellstoll-like receptors

Identifiers

PMID29867994
PMCPMC5963123
OpenAlexW2799381817

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.