ArticleMolecular biology reports2016
Identifying a biomarker network for corticosteroid resistance in asthma from bronchoalveolar lavage samples.
Article in Molecular biology reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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.
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Who cites it
10 citing papers in PubMed, 18 citations in OpenAlex.
- Multicellular crosstalk in neutrophilic asthma: unraveling the pathogenic web of steroid resistance and emerging precision therapies.Journal of translational medicine · 2026Review
- Integrated airway epithelial signaling networks linking allergen-driven inflammation to airway remodeling in asthma.Frontiers in immunology · 2026Review
- Integrated Multi-Omics Analysis Reveals Mountain-Cultivated Ginseng Ameliorates Cold-Stimulated Steroid-Resistant Asthma by Regulating Interactions among Microbiota, Genes, and Metabolites.International journal of molecular sciences · 2024Article
- MYC: there is more to it than cancer.Frontiers in cell and developmental biology · 2024Review
- Article
- Molecular Mechanism Underlying Effects of Wumeiwan on Steroid-Dependent Asthma: A Network Pharmacology, Molecular Docking, and Experimental Verification Study.Drug design, development and therapy · 2022Article
- [Pathogenesis of steroid-resistant asthma and the influence of vitamin D].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2019Review
- Association between pathologic factors and ERG expression in prostate cancer: finding pivotal networking.Journal of cancer research and clinical oncology · 2018Article
- Identification of the difference in the pathogenesis in heart failure arising from different etiologies using a microarray dataset.Clinics (Sao Paulo, Brazil) · 2017Article
- Asthma biomarkers in the age of biologics.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2017Review
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Corticosteroid resistance (CR) is a major barrier to the effective treatment of severe asthma. Hence, a better understanding of the molecular mechanisms involved in this condition is a priority. Network analysis is an emerging strategy to explore this complex heterogeneous disorder at system level to identify a small own network for CR in asthma. Gene expression profile of GSE7368 from bronchoalveolar lavage (BAL) of CR in subjects with asthma was downloaded from the gene expression omnibus (GEO) database and compared to BAL of corticosteroid-sensitive (CS) patients. DEGs were identified by the Limma package in R language. In addition, DEGs were mapped to STRING to acquire protein-protein interaction (PPI) pairs. Topological properties of PPI network were calculated by Centiscape, ClusterOne and BINGO. Subsequently, text-mining tools were applied to design one own cell signalling for CR in asthma. Thirty-five PPI networks were obtained; including a major network consisted of 370 nodes, connected by 777 edges. After topological analysis, a minor PPI network composed by 48 nodes was indentified, which is composed by most relevant nodes of major PPI network. In this subnetwork, several receptors (EGFR, EGR1, ESR2, PGR), transcription factors (MYC, JAK), cytokines (IL8, IL6, IL1B), one chemokine (CXCL1), one kinase (SRC) and one cyclooxygenase (PTGS2) were described to be associated with inflammatory environment and steroid resistance in asthma. We suggest a biomarker network composed by 48 nodes that could be potentially explored with diagnostic or therapeutic use.
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