ArticleExperimental biology and medicine (Maywood, N.J.)2022
Identifying a novel serum microRNA biomarker panel for the diagnosis of childhood asthma.
Article in Experimental biology and medicine (Maywood, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Meta-analysis of microarray data to identify potential signature genes and MiRNAs associated with the pathogenesis of asthma.Journal of translational medicine · 2025Pooled it
- MicroRNAs as Diagnostic and Therapeutic Biomarkers in Childhood Asthma: A Systematic Review with Bioinformatics Analysis.Journal of personalized medicine · 2026Review
- miRNA profiling shows shared signatures in pediatric asthma, obesity and their comorbidity.Frontiers in immunology · 2026Article
- miR-18a-5p promotes phenotypic transformation of airway smooth muscle cells by targeting SPRY1 to activate the RAS-MAPK pathway.Frontiers in genetics · 2026Article
- Early-life microRNA signatures in cord blood associated with allergic rhinitis and asthma development.The Journal of allergy and clinical immunology · 2025Article
- The Role of miR-144 in Inflammatory Diseases: A Review.Immunity, inflammation and disease · 2025Review
- Analysis of miRNA Expression in Patients With NSAID-Exacerbated Respiratory Disease.Allergy, asthma & immunology research · 2025Article
- Review
- The Potential Role of Serum and Exhaled Breath Condensate miRNAs in Diagnosis and Predicting Exacerbations in Pediatric Asthma.Biomedicines · 2023Review
- Advances and Highlights of miRNAs in Asthma: Biomarkers for Diagnosis and Treatment.International journal of molecular sciences · 2023Review
- Bioinformatic analysis and preliminary validation of potential therapeutic targets for COVID-19 infection in asthma patients.Cell communication and signaling : CCS · 2022Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The pathological mechanism of childhood asthma is complex, and timely diagnosis is the key to effective prevention and control of childhood asthma. We collected 170 serum samples from 95 children with asthma and 75 healthy children. Serum miRNA biomarkers were analyzed by Illumina sequencing for childhood asthma. Differentially serum miRNAs were confirmed with quantitative reverse transcription polymerase chain reaction (qRT-PCR) assay. The Illumina sequencing data showed the differential expression of 111 serum miRNAs among asthmatic and healthy children. After confirmation of miRNAs expression through qRT-PCR, four of them (namely hsa-miR-106a-5p, hsa-miR-18a-5p, hsa-miR-144-3p, and hsa-miR-375) manifested significant differential expression between asthmatic children and healthy controls. The biomarkers classification tree model created with these four miRNAs using the Biomarker Patterns Software could effectively separate childhood asthma and healthy children, with a specificity of 88.3%, a sensitivity of 95.0%, and an area under the curve (AUC) value of 0.942. The regulatory networks containing miRNAs and their gene targets suggested that the four miRNAs might have gene targets implicated in inflammation, immunity, and transcriptional efficiency. Taken together, this four-serum-miRNA panel is a promising biomarker to diagnose childhood asthma noninvasively.
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