Evidence map›Paper›PMID 29946071›Full record

ArticleScientific reports2018

Betamethasone prevents human rhinovirus- and cigarette smoke- induced loss of respiratory epithelial barrier function.

Eva E Waltl, Regina Selb, Julia Eckl-Dorna, Christian A Mueller, Clarissa R Cabauatan, Thomas Eiwegger, Yvonne Resch-Marat, Katarzyna Niespodziana, Susanne Vrtala, Rudolf Valenta and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. The role of virus in nasal inflammation.European journal of medical research · 2025
    Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Toward personalization of asthma treatment according to trigger factors.The Journal of allergy and clinical immunology · 2020
    Review
  14. Article
  15. 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

11 authors at 2 institutions in 3 countries.

Eva E WaltlDepartment of Otorhinolaryngology, Medical University of Vienna, Vienna, Austria.
Regina SelbDepartment of Otorhinolaryngology, Medical University of Vienna, Vienna, Austria.
Julia Eckl-DornaDepartment of Otorhinolaryngology, Medical University of Vienna, Vienna, Austria.
Christian A MuellerDepartment of Otorhinolaryngology, Medical University of Vienna, Vienna, Austria.
Clarissa R CabauatanDepartment of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Division of Immunpathology, Medical University of Vienna, Vienna, Austria.
Thomas EiweggerDivision of Immunology and Allergy, Food allergy and Anaphylaxis Program, The Department of Paediatrics, The Hospital for Sick Children, Toronto, Canada.
Yvonne Resch-MaratDepartment of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Division of Immunpathology, Medical University of Vienna, Vienna, Austria.
Katarzyna NiespodzianaDepartment of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Division of Immunpathology, Medical University of Vienna, Vienna, Austria.
Susanne VrtalaDepartment of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Division of Immunpathology, Medical University of Vienna, Vienna, Austria.
Rudolf ValentaDepartment of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Division of Immunpathology, Medical University of Vienna, Vienna, Austria.
Verena NiederbergerDepartment of Otorhinolaryngology, Medical University of Vienna, Vienna, Austria. verena.niederberger@meduniwien.ac.at.
Medical University of Vienna · ATHospital for Sick Children · CA

Funding

Austrian Science Fund FWF P 29398
6 · The paper itself

Abstract

The respiratory epithelium is a barrier against pathogens and allergens and a target for therapy in respiratory allergy, asthma and chronic obstructive pulmonary disease (COPD). We investigated barrier-damaging factors and protective factors by real-time measurement of respiratory cell barrier integrity. Barrier integrity to cigarette smoke extract (CSE), house dust mite (HDM) extract, interferon-γ (IFN-γ) or human rhinovirus (HRV) infection alone or in combination was assessed. Corticosteroids, lipopolysaccharide (LPS), and nasal mucus proteins were tested for their ability to prevent loss of barrier integrity. Real-time impedance-based measurement revealed different patterns of CSE-, HDM-, IFN-γ- and HRV-induced damage. When per se non-damaging concentrations of harmful factors were combined, a synergetic effect was observed only for CSE and HDM. Betamethasone prevented the damaging effect of HRV and CSE, but not damage caused by HDM or IFN-γ. Real-time impedance-based measurement of respiratory epithelial barrier function is useful to study factors, which are harmful or protective. The identification of a synergetic damaging effect of CSE and HDM as well as the finding that Betamethasone protects against HRV- and CSE-induced damage may be important for asthma and COPD.

Indexed as

AdultBetamethasoneCells, CulturedCell SurvivalEpithelial CellsFemaleHumansInterferon-gammaMaleMiddle AgedNoseRespiratory MucosaRhinovirusSignal TransductionSmokeYoung AdultBetamethasoneInterferon-gammaSmoke

Identifiers

PMID29946071
PMCPMC6018698
OpenAlexW2809431466

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.