Evidence map›Paper›PMID 39229267›Full record

ArticleFrontiers in immunology2024

Valentin F Wjst, Sabrina Lübke, Bettina Wagner, Claudio Rhyner, Maria-Christin Jentsch, Corinna Arnold, Katharina L Lohmann, Christiane L Schnabel

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

8 authors.

Valentin F WjstInstitute of Immunology, Faculty of Veterinary Medicine, Leipzig University, Leipzig, Germany.
Sabrina LübkeInstitute of Immunology, Faculty of Veterinary Medicine, Leipzig University, Leipzig, Germany.
Bettina WagnerDepartment of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, United States.
Claudio RhynerChristine Kühne Center for Allergy, Research, and Education (CK-CARE), Davos, Switzerland.
Maria-Christin JentschInstitute of Immunology, Faculty of Veterinary Medicine, Leipzig University, Leipzig, Germany.
Corinna ArnoldDepartment for Horses, Faculty of Veterinary Medicine, Leipzig University, Leipzig, Germany.
Katharina L LohmannDepartment for Horses, Faculty of Veterinary Medicine, Leipzig University, Leipzig, Germany.
Christiane L SchnabelInstitute of Immunology, Faculty of Veterinary Medicine, Leipzig University, Leipzig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Equine asthma (EA) is a common disease of adult horses with chronic respiratory pathology and common neutrophilic airway inflammation. It presents with hyperreactivity to hay dust components such as molds, and underlying dysregulated T cell responses have been suggested. Thus far, T cells have been analysed in EA with conflicting results and the antigen reactivity of T cells has not been demonstrated. Serological and epidemiological data point to the relevance of Methods: Cryopreserved bronchoalveolar lavage cells (BALC) and peripheral blood mononuclear cells (PBMC) from healthy horses (HE, n=9) and those with mild-moderate (MEA, n=3) or severe asthma (SEA, n=8) were stimulated Results: Antigen restimulation of BALC with Asp f 1 or Asp f 7/8 provoked higher frequencies of IL-17 Conclusion: Horses with SEA have increased

Indexed as

Antigens, FungalAspergillus fumigatusAsthmaBronchoalveolar Lavage FluidCytokinesHorse DiseasesTh17 CellsAnimalsFemaleHorsesMaleAntigens, FungalCytokinesallergenchemokinecytokineheavesmoldRAOT cellstype 3

Identifiers

PMID39229267
PMCPMC11368783

What Socratic 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 Socratic graph.