Evidence map›Paper›PMID 42129970›Full record

ArticlePediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology2026

MicroRNA clustering in pediatric asthma reveals differential corticosteroid responsiveness.

Minsuk Yang, Upasna Srivastava, Alvin Kho, Anshul Tiwari, Alberta Wang, Shraddha Piparia, Scott T Weiss, Michael McGeachie, Kelan Tantisira

Abstract read
In one paragraph

Article in Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. MicroRNA clustering in pediatric asthma reveals differential corticosteroid responsiveness.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2026
    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

9 authors.

Minsuk YangDivision of Pediatric Respiratory Medicine, Department of Pediatrics, University of California san Diego, La Jolla, California, USA.ORCID https://orcid.org/0000-0002-9861-0530
Upasna SrivastavaDepartment of Neurology, Yale School of Medicine, Yale University, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0003-4096-9257
Alvin KhoComputational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts, USA.
Anshul TiwariMolecular Physiology and Biophysics, Vanderbilt University, Nashville, Tennessee, USA.
Alberta WangChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Shraddha PipariaDivision of Pediatric Respiratory Medicine, Department of Pediatrics, University of California san Diego, La Jolla, California, USA.
Scott T WeissChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Michael McGeachieChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Kelan TantisiraDivision of Pediatric Respiratory Medicine, Department of Pediatrics, University of California san Diego, La Jolla, California, USA.

Funding

NIH HHS
6 · The paper itself

Abstract

backgroundAsthma is a heterogeneous disease with variable treatment responses. miRNAs play a critical role in asthma pathogenesis and may serve as biomarkers for distinct asthma endotypes. We tried to identify possible molecular asthma clusters based on miRNA expression profiles in pediatric patients from the Childhood Asthma Management Program (CAMP) cohort.

methodsWe performed miRNA profiling and k-means clustering on 462 CAMP participants. Differential miRNA expression and pathway enrichment analyses were conducted to characterize cluster-associated molecular features. Clinical characteristics and budesonide-related changes in lung function were compared across clusters, including analyses stratified by peripheral blood eosinophil counts.

resultsThree possible molecular clusters were identified, each with distinct miRNA expression patterns and enriched biological pathways. All clusters showed enrichment in IL-4/IL-13 signaling and PIP3/AKT pathways. Cluster 1 was characterized by Toll-like receptor-related signaling pathways, Cluster 2 by FOXO-mediated transcription pathways, and Cluster 3 by pathways associated with SCF-KIT signaling. Baseline demographic and clinical characteristics were largely similar across clusters. However, patterns of budesonide-related lung function change differed. Clusters 1 and 3 showed more favorable lung function profiles after budesonide treatment than Cluster 2. In Cluster 1, eosinophilic participants had a higher proportion of moderate asthma, whereas those without eosinophilia were more often classified as having mild asthma. In Cluster 3, eosinophilic participants had greater baseline airway hyperresponsiveness and lower baseline FEV

conclusionmiRNA profiling identified possible molecular asthma clusters with different clinical, physiologic, and treatment-related patterns.

Indexed as

Adrenal Cortex HormonesAsthmaBudesonideMicroRNAsAdolescentBiomarkersChildChild, PreschoolCluster AnalysisClustering AlgorithmsEosinophilsFemaleGene Expression ProfilingHumansMaleSignal TransductionAdrenal Cortex HormonesBiomarkersBudesonideMicroRNAsasthmacluster analysismicroRNA

Identifiers

PMID42129970
PMCPMC13172431

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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.