Evidence map›Paper›PMID 28135326›Full record

ArticlePloS one2017

Early Postnatal Exposure to Cigarette Smoke Leads to Later Airway Inflammation in Asthmatic Mice.

Fei Huang, Hang Cheng, Yu-Tong Zhang, Yang-Hua Ju, Ya-Nan Li

Abstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. American journal of respiratory cell and molecular biology · 2023
    Article
  2. 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

5 authors.

Fei HuangDepartment of Orthopedics, China-Japan Union Hospital of Jilin University, Changchun, Jilin, PR China.
Hang ChengDepartment of Pediatrics, The First Hospital of Jilin University, Changchun, Jilin, PR China.
Yu-Tong ZhangDepartment of Pediatrics, The First Hospital of Jilin University, Changchun, Jilin, PR China.
Yang-Hua JuDepartment of Pediatrics, The First Hospital of Jilin University, Changchun, Jilin, PR China.
Ya-Nan LiDepartment of Pediatrics, The First Hospital of Jilin University, Changchun, Jilin, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveAsthma is one of the most common airway inflammatory diseases. In most cases, asthma development is related to ubiquitous harmful environmental exposure factors in early-life. Previous studies have indicated that smoking can promote asthma development and increase the difficulty of asthma control. The aim of this study was to determine the effects of early-life CS exposure on ovalbumin (OVA)-sensitized asthmatic mice.

methodsPathological and immunological functions were analyzed in an adult asthma mice model in which mice were sensitized with OVA combined with early-life CS exposure.

resultsMice exposed to CS for only 5 weeks demonstrated significantly reduced pulmonary compliance, increased airway inflammation, and augmented cellular and humoral immune responses. In addition, CS inhalation was sufficient to facilitate OVA sensitization and challenge asthmatic development. Meanwhile, CS exposure amplified regulatory T cell-mediated immunity inhibition, but still did not offset the increased effector T cell-mediated inflammatory response.

conclusionEarly-life CS exposure is significantly associated with later pulmonary injury and aggravation of T-cell immunologic derangement in asthmatic mice.

Indexed as

AnimalsAnimals, NewbornAsthmaDisease Models, AnimalEnvironmental ExposureFemaleImmunity, CellularImmunosuppression TherapyMaleMice, Inbred BALB CPneumoniaSmokingT-Lymphocytes, Regulatory

Identifiers

PMID28135326
PMCPMC5279757

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LicenceCC BY
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Registered trials

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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.