ArticleInternational journal of molecular sciences2020
Novel Comprehensive Bioinformatics Approaches to Determine the Molecular Genetic Susceptibility Profile of Moderate and Severe Asthma.
Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 15 citations in OpenAlex.
- A Multilevel Redox-Based Prognostic Model for Asthma Severity: From Genotype to Serum Biomarkers.Biomedicines · 2026Review
- Copy Number Variation in Asthma: An Integrative Review.Clinical reviews in allergy & immunology · 2025Review
- Skin tape-strips in old order Mennonite toddlers reveal upregulated barrier markers and low T-helper inflammatory tone.Allergy · 2024Article
- CDC167 exhibits potential as a biomarker for airway inflammation in asthma.Mammalian genome : official journal of the International Mammalian Genome Society · 2024Article
- 5-HTP inhibits eosinophilia via intracellular endothelial 5-HTRs; SNPs in 5-HTRs associate with asthmatic lung function.Frontiers in allergy · 2024Article
- Asthma and Post-Asthmatic Fibrosis: A Search for New Promising Molecular Markers of Transition from Acute Inflammation to Pulmonary Fibrosis.Biomedicines · 2022Article
- Autophagy-Related Genes Are Involved in the Progression and Prognosis of Asthma and Regulate the Immune Microenvironment.Frontiers in immunology · 2022Article
- Functional Genomics in Health and Disease.International journal of molecular sciences · 2021Article
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Authors and funding
1 author at 1 institution in 1 country.
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Abstract
backgroundAsthma is a chronic inflammatory condition linked to hyperresponsiveness in the airways. There is currently no cure available for asthma, and therapy choices are limited. Asthma is the result of the interplay between genes and the environment. The exact molecular genetic mechanism of asthma remains elusive.
aimsThe aim of this study is to provide a comprehensive, detailed molecular etiology profile for the molecular factors that regulate the severity of asthma and pathogenicity using integrative bioinformatics tools.
methodsThe GSE43696 omnibus gene expression dataset, which contains 50 moderate cases, 38 severe cases, and 20 healthy controls, was used to investigate differentially expressed genes (DEGs), susceptible chromosomal loci, gene networks, pathways, gene ontologies, and protein-protein interactions (PPIs) using an intensive bioinformatics pipeline.
resultsThe PPI network analysis yielded DEGs that contribute to interactions that differ from moderate-to-severe asthma. The combined interaction scores resulted in higher interactions for the genes
conclusionNew genetic risk factors for the development of moderate-to-severe asthma were identified in this study, and these could provide a better understanding of the molecular pathology of asthma and might provide a platform for the treatment of asthma.
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