Evidence map›Paper›PMID 40270985›Full record

ArticleJournal of asthma and allergy2025

Serum miR-130a-3p and miR-326: Correlation with Airway Inflammation and Prognostic Implications in Pediatric Bronchial Asthma.

Danhong Liu, Fanda Liao, Hongbing Wang

Abstract read
In one paragraph

Article in Journal of asthma and allergy, 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. Multi-omics identifies severe asthma endotypes linked toThe World Allergy Organization journal · 2025
    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

3 authors.

Danhong Liu *Department of Pediatrics, Suizhou Hospital, Hubei University of Medicine, Suizhou, Hubei, 441300, People's Republic of China.
Fanda Liao *Department of Pediatrics, Suizhou Hospital, Hubei University of Medicine, Suizhou, Hubei, 441300, People's Republic of China.
Hongbing WangDepartment of Pediatrics, Suizhou Hospital, Hubei University of Medicine, Suizhou, Hubei, 441300, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the relationship between serum microRNA (miR)-130a-3p, miR-326 and airway inflammation in children suffering from bronchial asthma. Methods: A retrospective study was conducted on 122 children suffering from bronchial asthma. According to the disease progression, 122 cases were divided into a remission group of 73 cases and an attack group of 49 cases. Total 50 healthy children received physical examinations during the same period were taken as the control group. These cases were graded as a well-controlled group of 91 cases and a poorly controlled group of 31 cases following 8 weeks of symptomatic treatment. The interaction was analyzed using a multiplication model (by calculating the odds ratio and other indicators of the occurrence of outcomes under different combinations of factor exposures). ROC curve was used to analyze the predictive value. Multivariate Logistic regression was used to analyze the influencing factors. Results: Serum miR-130a-3p and miR-326 levels were negatively correlated with serum IL-4, TGF-β1 and CKLF-1 levels (all Conclusion: The decreased levels of serum miR-130a-3p and miR-326 were related to airway inflammation in children with bronchial asthma. The interaction between the two miRNAs may increase the risk of poor prognosis in children. Detection of the two miRNAs can provide important reference for clinicians to judge the prognosis of children.

Indexed as

airway inflammationbronchial asthmamiR-130a-3pmiR-326prognosis

Identifiers

PMID40270985
PMCPMC12017269

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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.