SynthesisJournal of translational medicine2025
Meta-analysis of microarray data to identify potential signature genes and MiRNAs associated with the pathogenesis of asthma.
Synthesis in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07230912 (Impact of Comorbidities, Some Biomarkers, Micro RNA in Childhood Asthma Phenotypes, Severity and Response to Therapy), which is not on this map. Cited by 1 paper.
What it found
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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.
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.
Impact of Comorbidities, Some Biomarkers, Micro RNA in Childhood Asthma Phenotypes, Severity and Response to Therapy
Who cites it
1 citing paper in PubMed.
- Role of miR-191-3p in HDM-induced airway epithelial inflammation by targeting CD247 in allergic asthma.BMC immunology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundAsthma is a chronic inflammatory airway disease characterized by variable degrees of inflammation and airway hyperresponsiveness. The current study used a bioinformatic meta-analysis to identify key target genes and miRNA biomarkers for early diagnostics, thereby suggesting possible therapeutic targets that could impact the management and treatment of asthma sufferers.
methodsThis study used microarray bioinformatic analysis to discover potential asthma biomarkers by analyzing four microarray datasets of asthma patients and normal groups, namely GSE64913, GSE41863, GSE41862, and GSE165934. Additionally, pathway analysis, gene ontology (GO), and a protein-protein interaction (PPI) network were performed to investigate crucial pathways related to possible biological processes. A meta-analysis of the datasets to identify differentially expressed genes (DEGs) and their hub genes, with their targeting microRNAs, was implemented using bioinformatics tools.
resultsIn this regard, the genes CD44, KRT6A, FOSL1, PTGS2, JUN, CXCL8, IL1B, and DUSP1 were identified as the hub genes while considering the results of the present study. GO analysis of the DEGs revealed significant enrichment of genes involved in antigen presentation and recognition by T cells, along with pathways related to inflammation and metabolism. Finally, hsa-let-7a-5p, hsa-miR-27a-3p, hsa-miR-34a-5p, hsa-miR-92a-3p, hsa-miR-18a-5p, hsa-mir-155-5p, hsa-mir-129-2-3p, hsa-miR-101-3p, hsa-miR-191-5p, and hsa-miR-185-5p presented considerable associations with most hub genes.
conclusionsThese genetic factors may serve as valuable biomarkers for understanding the etiology and progression of asthma.
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Registered trials
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.