Evidence map›Paper›PMID 28245238›Full record

ArticlePloS one2017

Impacts of allergic airway inflammation on lung pathology in a mouse model of influenza A virus infection.

Akira Kawaguchi, Tadaki Suzuki, Yuki Ohara, Kenta Takahashi, Yuko Sato, Akira Ainai, Noriyo Nagata, Masato Tashiro, Hideki Hasegawa

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. A Narrative Review of Occupational Air Pollution and Respiratory Health in Farmworkers.International journal of environmental research and public health · 2021
    Review
  7. Review
  8. Influenza in High-Risk Hosts-Lessons Learned from Animal Models.Cold Spring Harbor perspectives in medicine · 2020
    Review
  9. Article
  10. Article
  11. Article
  12. Review
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

9 authors at 1 institution in 1 country.

Akira KawaguchiDepartment of Pathology, National Institute of Infectious Diseases, Shinjuku, Tokyo, Japan.
Tadaki SuzukiDepartment of Pathology, National Institute of Infectious Diseases, Shinjuku, Tokyo, Japan.ORCID http://orcid.org/0000-0002-3820-9542
Yuki OharaDepartment of Pathology, National Institute of Infectious Diseases, Shinjuku, Tokyo, Japan.
Kenta TakahashiDepartment of Pathology, National Institute of Infectious Diseases, Shinjuku, Tokyo, Japan.
Yuko SatoDepartment of Pathology, National Institute of Infectious Diseases, Shinjuku, Tokyo, Japan.
Akira AinaiDepartment of Pathology, National Institute of Infectious Diseases, Shinjuku, Tokyo, Japan.
Noriyo NagataDepartment of Pathology, National Institute of Infectious Diseases, Shinjuku, Tokyo, Japan.
Masato TashiroCenter for Influenza Virus Research, National Institute of Infectious Diseases, Musashimurayama, Tokyo, Japan.
Hideki HasegawaDepartment of Pathology, National Institute of Infectious Diseases, Shinjuku, Tokyo, Japan.
National Institute of Infectious Diseases · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Influenza A virus is the respiratory pathogen responsible for influenza. Infection by the 2009 pandemic influenza A (H1N1) virus caused severe lower airway inflammation and pneumonia. Asthma is a chronic inflammatory disorder of the airways that affects the entire brachial tree, and was one of the commonest underlying medical conditions among patients hospitalized with the 2009 pandemic influenza virus infection. Although respiratory virus infections are the major causes of asthma exacerbation, the mechanism by which influenza exacerbates asthma is poorly understood. Animal models of disease comorbidity are crucial to understanding host-pathogen interactions and elucidating complex pathologies. Existing murine models of influenza virus infection in asthmatics show that asthmatic mice are highly resistant to influenza virus infection, which contradicts clinical observations in humans. Here, we developed a murine model of influenza virus/asthma comorbidity using NC/Nga mice, which are highly sensitive to allergic reactions such as atopic dermatitis and allergic airway inflammation. This model was then used to examine the impact of allergic airway inflammation on lung pathology in the 2009 pandemic influenza virus infected mice. The results showed that induction of acute allergic airway inflammation in pre-existing influenza virus infection had additive effects on exacerbation of lung pathology, which mirrors findings in human epidemiological studies. In contrast, pre-existing allergic airway inflammation protected from subsequent influenza virus infection, which was compatible with those of previous murine models of influenza virus infection in asthmatic mice. These variable outcomes of this murine model indicate that the temporal relation between allergic airway inflammation and influenza virus infection might play a critical role in asthma and influenza comorbidity. Thus, this murine model will further our understanding of how influenza virus infection affects an asthmatic host and may aid the development of strategies to improve treatments and outcomes for asthmatics harboring influenza virus infection.

Indexed as

AnimalsBronchoalveolar Lavage FluidChemokinesCytokinesDisease Models, AnimalFemaleHypersensitivityImmunohistochemistryInflammationInfluenza A virusMiceMice, Inbred BALB COrthomyxoviridae InfectionsChemokinesCytokines

Identifiers

PMID28245238
PMCPMC5330494
OpenAlexW2592385548

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.