SynthesisScientific reports2020
Transcriptomic analysis delineates potential signature genes and miRNAs associated with the pathogenesis of asthma.
Synthesis in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05078021 (Phenotyping Disease Severity in Asthma), which is not on this map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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.
Phenotyping Disease Severity in Asthma: Molecular Investigations of Corticosteroid
Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 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
- ITGA5 as a Dual Regulator of Epithelial-Mesenchymal Transition and Epithelial Cell Anoikis Resistance: Functional Validation and Drug Prediction.Cell proliferation · 2026Article
- MicroRNAs as Diagnostic and Therapeutic Biomarkers in Childhood Asthma: A Systematic Review with Bioinformatics Analysis.Journal of personalized medicine · 2026Review
- Combining co-expression analysis and machine learning to explore the diagnostic value of complement and coagulation cascade-related genes in asthma and the functional role of SERPINB2.Briefings in functional genomics · 2026Article
- Elucidating molecular mechanisms of allergic sensitization to olive pollen through transcriptomics.Frontiers in immunology · 2026Article
- Single-cell transcriptomic analysis of the heterogeneity of mesenchymal and stromal cells and their regulon alteration during airway remodeling in asthma.Scientific reports · 2025Article
- Identification and validation of differentially expressed genes in allergic asthma pathogenesis using whole-transcriptome sequencing.Frontiers in medicine · 2025Article
- Investigation of lactotransferrin messenger RNA expression levels as an anti-type 2 asthma biomarker.The Journal of allergy and clinical immunology · 2024Article
- Airway Proteotypes of E-Cigarette Users Overlap with Those Found in Asthmatics.American journal of respiratory cell and molecular biology · 2024Article
- Integrative analysis identifies gene signatures mediating the effect of DNA methylation on asthma severity and lung function.Clinical epigenetics · 2024Article
- The functional role of CST1 and CCL26 in asthma development.Immunity, inflammation and disease · 2024Article
- Genomics of Treatable Traits in Asthma.Genes · 2023Review
- Development and validation of asthma risk prediction models using co-expression gene modules and machine learning methods.Scientific reports · 2023Article
- Peripheral blood transcriptomic clusters uncovered immune phenotypes of asthma.Respiratory research · 2022Article
- Integrated transcriptomic and regulatory network analyses uncovers the role of let-7b-5p, SPIB, and HLA-DPB1 in sepsis.Scientific reports · 2022Article
- Asthma and Post-Asthmatic Fibrosis: A Search for New Promising Molecular Markers of Transition from Acute Inflammation to Pulmonary Fibrosis.Biomedicines · 2022Article
- Hsa-Mir-320c, Hsa-Mir-200c-3p, and Hsa-Mir-449c-5p as Potential Specific miRNA Biomarkers of COPD: A Pilot Study.Pathophysiology : the official journal of the International Society for Pathophysiology · 2022Article
- Identification of pyroptosis-related subtypes and establishment of prognostic model and immune characteristics in asthma.Frontiers in immunology · 2022Article
- The Specific microRNA Profile and Functional Networks for Children with Allergic Asthma.Journal of asthma and allergy · 2022Article
- Identification of Molecular Markers Related to Immune Infiltration in Patients with Severe Asthma: A Comprehensive Bioinformatics Analysis Based on the Human Bronchial Epithelial Transcriptome.Disease markers · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Asthma is a multifarious disease affecting several million people around the world. It has a heterogeneous risk architecture inclusive of both genetic and environmental factors. This heterogeneity can be utilised to identify differentially expressed biomarkers of the disease, which may ultimately aid in the development of more localized and molecularly targeted therapies. In this respect, our study complies with meta-analysis of microarray datasets containing mRNA expression profiles of both asthmatic and control patients, to identify the critical Differentially Expressed Genes (DEGs) involved in the pathogenesis of asthma. We found a total of 30 DEGs out of which 13 were involved in the pathway and functional enrichment analysis. Moreover, 5 DEGs were identified as the hub genes by network centrality-based analysis. Most hub genes were involved in protease/antiprotease pathways. Also, 26 miRNAs and 20 TFs having an association with these hub genes were found to be intricated in a 3-node miRNA Feed-Forward Loop. Out of these, miR-34b and miR-449c were identified as the key miRNAs regulating the expression of SERPINB2 gene and SMAD4 transcription factor. Thus, our study is suggestive of certain miRNAs and unexplored pathways which may pave a way to unravel critical therapeutic targets in 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.