Evidence map›Paper›PMID 40978164›Full record

ArticleThe journal of allergy and clinical immunology. Global2025

Determinants of airway morphology in asthma: Inflammatory and noninflammatory factors.

Kaoruko Shimizu, Naoya Tanabe, Hirokazu Kimura, Jun Miyata, Shotaro Chubachi, Yuji Nakamaru, Akira Oguma, Nobuyasu Wakazono, Kazufumi Okada, Houman Goudarzi and 4 more

Abstract read
In one paragraph

Article in The journal of allergy and clinical immunology. Global, 2025. 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. Review
  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

14 authors.

Kaoruko ShimizuDepartment of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Naoya TanabeDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Hirokazu KimuraDepartment of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Jun MiyataDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Shotaro ChubachiDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Yuji NakamaruDepartment of Otolaryngology Head and Neck Surgery, School of Medicine, Hokkaido University, Sapporo, Japan.
Akira OgumaDepartment of Respiratory Medicine, Oji General Hospital, Tomakomai, Hokkaido, Japan.
Nobuyasu WakazonoDepartment of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Kazufumi OkadaData Science Center, Promotion Unit, Institute of Health Science Innovation for Medical Care, Hokkaido University Hospital, Sapporo, Japan.
Houman GoudarziDepartment of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Ichizo TsujinoDepartment of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Hironi MakiraDepartment of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Masaharu NishimuraDepartment of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Satoshi KonnoDepartment of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients with asthma may exhibit impaired airway tree morphology. The impact of difficult-to-treat traits on airway tree morphology remains unclear. Objective: We sought to identify determinants of total airway branch count (TAC) detectable via computed tomography and explore associated blood and sputum biomarkers in nonsmokers and smokers with asthma. Methods: Baseline computed tomography scans and pulmonary function tests (spirometry, diffusion capacity of carbon monoxide, and lung volume) were analyzed from the Hokkaido Severe Asthma Cohort (N = 190). TAC, segmental airway, visually evident mucus plugging and bronchiectasis, and parenchymal and extrapulmonary indices, such as the Lund-Mackay score, were evaluated. Relationships between TAC, difficult-to-treat traits, and blood/sputum biomarkers were analyzed using crude or multivariable regression models, adjusted for demographic factors. Results: Blood or sputum eosinophilia, mucus plugs, high body mass index (BMI), asthma duration, and higher Lund-Mackay score correlated with low TAC. Low TAC was linked to airflow obstruction and heterogeneous ventilation (low alveolar volume/total lung capacity). BMI was inversely associated with TAC, independent of age, sex, smoking status, sputum eosinophil ratio, and asthma duration. The presence of bronchiectasis correlated with an increase in TAC. Sputum IL-5, IL-6, RANTES, and circulating YKL-40 (chitinase-3-like-1 protein) and leptin also inversely correlated with TAC. Conclusions: BMI, asthma duration, sinusitis, and the presence of bronchiectasis are significant determinants of airway tree morphology in asthma, alongside inflammation and mucus plugs. Both inflammatory and noninflammatory biomarkers were associated with low TAC.

Indexed as

Airway remodelingasthmabody mass indexcomputed tomographyeosinophilsleptinLund-Mackay scoremucus plugsobesitytype 2 inflammation

Identifiers

PMID40978164
PMCPMC12446637

What Socratic holds

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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 Socratic graph.