Evidence map›Paper›PMID 41710133›Full record

ArticleJournal of asthma and allergy2026

Metabolomic Clusters and Their Association with Small Airway Disease in Asthma.

Joon Young Choi, Sang Hyuk Kim, Young Jin Pyung, Cheol-Heui Yun, Chin Kook Rhee, Deog Kyeom Kim, Hyun Woo Lee

Abstract read
In one paragraph

Article in Journal of asthma and allergy, 2026. 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. 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

7 authors.

Joon Young ChoiDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID 0000-0001-6298-2204
Sang Hyuk KimDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Young Jin PyungDepartment of Agricultural Biotechnology, and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea.
Cheol-Heui YunDepartment of Agricultural Biotechnology, and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea.ORCID 0000-0002-0041-2887
Chin Kook RheeDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID 0000-0003-4533-7937
Deog Kyeom KimDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea.ORCID 0000-0003-1186-3728
Hyun Woo LeeDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea.ORCID 0000-0003-4379-0260

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Asthma is a heterogeneous airway disease in which small airway dysfunction (SAD) plays a central role, but its biochemical basis are not yet fully understood. This study aimed to identify distinct serum metabolomic clusters in asthma and to evaluate their associations with physiologic and structural indicators of small airway involvement. Methods: Fifty-four adults with well-controlled asthma were enrolled. Serum metabolites were quantified using proton nuclear magnetic resonance spectroscopy and liquid chromatography-tandem mass spectrometry. Hierarchical clustering of 40 metabolites identified metabolic subgroups. SAD was assessed using impulse oscillometry and structural airway remodeling was quantified using chest computed tomography. Multivariable linear regression was used to assess associations between metabolite concentrations and small airway indices after adjustment for demographic and clinical factors. Results: Three metabolomic clusters were identified with distinct biochemical and clinical features. Cluster 1, enriched in lipid and fatty acid metabolites, showed higher airway resistance, thicker airway walls, and increased serum C-reactive protein levels, suggesting more pronounced small airway involvement. Cluster 2 was characterized by elevated levels of sugars and alkylamines while maintaining relatively preserved airway function. Cluster 3 had reduced concentrations of amino acids and tricarboxylic acid cycle metabolites, along with increased proportion of current smokers. Phenylalanine was inversely associated with airway resistance and a positive correlation with reactance, while methanol and dimethylamine showed opposite patterns. These relationships remained significant after multivariable adjustment, indicating independent metabolic correlates of small airway disease. Conclusion: Systemic metabolic profiles are associated with small airway inflammation and structural remodeling through bidirectional interactions between circulating metabolites and airway pathophysiology.

Indexed as

airway resistanceasthmacluster analysismetabolomicssmall airway disease

Identifiers

PMID41710133
PMCPMC12911995

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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.