ArticleAmerican journal of translational research2022
Identification of potential key autophagy-related genes in asthma with bioinformatics approaches.
Article in American journal of translational research, 2022. 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, 8 citations in OpenAlex.
- PYGO2 as a novel prognostic biomarker and its correlation with immune infiltrates in liver cancer.American journal of clinical and experimental immunology · 2025Article
- Identification of immune infiltration-related ZNF480 for predicting prognosis in breast cancer.American journal of clinical and experimental immunology · 2025Article
- The prognostic significance of FMR1 expression and its immunomodulatory implications in esophageal carcinoma.American journal of clinical and experimental immunology · 2025Article
- Evaluating the significance of ECSCR in the diagnosis of ulcerative colitis and drug efficacy assessment.Frontiers in immunology · 2024Article
- TNFSF12 is associated with breast cancer prognosis and immune cell infiltration.American journal of translational research · 2024Article
- Analysis of changes in platelet parameters and inflammatory markers in intrahepatic cholestasis of pregnancy before disease development.American journal of translational research · 2024Article
- IL18R1-Related Molecules as Biomarkers for Asthma Severity and Prognostic Markers for Idiopathic Pulmonary Fibrosis.Journal of proteome research · 2023Article
- Comprehensive analysis of immune-related genes for classification and immune microenvironment of asthma.American journal of translational research · 2023Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesAsthma is a chronic respiratory disease characterized by airway remodeling and inflammation. Recent studies have demonstrated that multiple autophagy-related genes are involved in the pathogenesis of asthma. However, the roles of many of these autophagy-related genes in asthma remain unclear, particularly with regard to the diagnosis of asthma.
methodsIn this study, autophagy-related differentially expressed genes (DEGs) in asthma were identified by bioinformatics analysis of the GSE76262 datasets. Hub genes were screened by protein-protein interaction (PPI) network and module analyses. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were used to explore potential signaling pathways. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic value of autophagy-related biomarkers in asthma.
resultsA total of 17 autophagy-related DEGs were identified, most of which were involved in autophagy and protein processing in the endoplasmic reticulum signaling pathway. ROC curve analysis demonstrated that the hub genes (
conclusionsThe results of this study indicate that specific signaling pathways and autophagy-related DEGs are potential diagnostic biomarkers related to the inception and progression of asthma.
Indexed as
Identifiers
36398258PMC9641494W4309413711What OpenQuestion holds
Registered trials
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