Evidence map›Paper›PMID 42620158›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Circulating microRNAs Predict Longitudinal Asthma Control and Treatment Response.

Parham Hadikhani, Alvin T Kho, Shraddha Piparia, Rinku Sharma, Scott T Weiss, Michael McGeachie, Kelan G Tantisira

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Parham HadikhaniDepartment of Pediatrics, Division of Pediatric Respiratory Medicine, University of California San Diego, San Diego, California, USA.ORCID 0000-0002-4832-4368
Alvin T KhoChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-9887-312X
Shraddha PipariaDepartment of Pediatrics, Division of Pediatric Respiratory Medicine, University of California San Diego, San Diego, California, USA.
Rinku SharmaChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Scott T WeissChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Michael McGeachieChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Kelan G TantisiraDepartment of Pediatrics, Division of Pediatric Respiratory Medicine, University of California San Diego, San Diego, California, USA.ORCID 0000-0003-2950-3384

Funding

Leveraging Pharmacogenomics in Asthma for Predication, Mechanism and EndotypingR01HL161362 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI EUGENE ROLAND BLEECKER, GEOFFREY L CHUPP · 2022 to 2026
$8.4M
Omic Determinants of Longitudinal Lung Function in AsthmaR01HL155742 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LASKY-SU, JESSICA A, MCGEACHIE, MICHAEL JOHN · 2021 to 2025
$3.9M
Genomics and Pharmacogenomics of Symptoms in AsthmaR01HL162570 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI TANTISIRA, KELAN G · 2021 to 2024
$2.9M
MicroRNAs in Airway Smooth Muscle Function and AsthmaR01HL177625 · NHLBI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Quan Lu · 2025 to 2026
$1.2M
Exploring the Molecular Landscape of Lung Health and Aging Through a Multi-Omics LensK99HL183694 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Rinku Sharma · 2026 to 2026
$171k
NHLBI NIH HHS K99 HL183694NHLBI NIH HHS R01 HL155742NHLBI NIH HHS R01 HL161362NHLBI NIH HHS R01 HL162570NHLBI NIH HHS R01 HL177625
6 · The paper itself

Abstract

Background: GINA-based clinical assessment of asthma control provides limited insight into the molecular mechanisms driving disease progression and treatment response. Circulating microRNAs (miRNAs) are implicated in immune regulation and airway remodeling, but their relationship to longitudinal, treatment-specific asthma control is not well characterized. We aimed to identify treatment-specific miRNAs associated with longitudinal asthma control and evaluate their ability to discriminate well-controlled from uncontrolled asthma. Methods: Baseline serum miRNA sequencing data from 491 children in the Childhood Asthma Management Program (CAMP), a randomized trial of budesonide versus placebo, were analyzed, with GINA-based composite symptom scores assessed at baseline and 2, 4, 8, and 12 months. Cumulative link mixed models were fitted across 266 miRNAs to identify associations with longitudinal ordinal asthma control, adjusting for time, baseline status, and treatment. Random Forest classifiers were trained within each treatment group using Group K-Fold cross-validation. Pathway enrichment of validated miRNA targets was performed with DAVID. Results: In the budesonide group, hsa-miR-1224-5p was associated with lower symptom severity and hsa-miR-199a-3p|hsa-miR-199b-3p with higher severity; both associations persisted at 12 months. The placebo group showed a broader pattern, with ten miRNAs associated with symptoms. Random Forest classifiers achieved mean AUC of 0.776 (budesonide) and 0.714 (placebo) for 12-month control status. Budesonide-associated targets were enriched for glucocorticoid-responsive and MAPK/Ras signaling, while placebo-associated targets showed broad enrichment for general regulatory processes. Conclusion: Treatment-specific circulating miRNAs distinguish asthma control over time and implicate distinct signaling pathways, supporting their potential as complementary molecular markers for asthma monitoring in children.

Indexed as

AsthmaBiomarkersBudesonideLongitudinalmicroRNAPlaceboRandom Forest

Identifiers

PMID42620158
PMCPMC13484763

What OpenQuestion holds

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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.