ArticleAnnals of translational medicine2022
Identification of the key genes in chronic obstructive pulmonary disease by weighted gene co-expression network analysis.
Article in Annals of translational medicine, 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, 11 citations in OpenAlex.
- Research trends in COPD-associated invasive pulmonary aspergillosis over the past two decades: a bibliometric and topic modelling analysis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Review
- [Overexpressing NDUFA13 and CRIP1 improves B cell injury and lung Lesions in COPD mouse models].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026Article
- Article
- Construction of an early diagnostic model for pulmonary hypertension based on aging-related signature genes and identification of potential therapeutic targets.Scientific reports · 2025Article
- Extracellular Matrix and Endothelial Activation Markers in the Bronchial and Pulmonary Arteries in COPD.The clinical respiratory journal · 2025Article
- Article
- Extracellular vesicle dynamics in COPD: understanding the role of miR-422a, SPP1 and IL-17 A in smoking-related pathology.BMC pulmonary medicine · 2024Article
- Exploratory research on the probable shared molecular mechanism and transcription factors between chronic periodontitis and chronic obstructive pulmonary disease.Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology · 2023Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Chronic obstructive pulmonary disease (COPD) is prevalent mainly in older adults, especially those who are smokers. It appears to be regulated by multiple genes, but there is some degree of familial clustering. The evidence to date suggests that COPD-associated biomarkers are largely inadequate for disease diagnosis, so we conducted a comprehensive search for more specific genetic markers. Methods: We used 3 datasets from the Gene Expression Omnibus (GEO) database. By investigating the biological information [i.e., Gene Ontology, Kyoto Encyclopedia of Genes and Genomes and weighted gene co-expression network analysis (WGCNA)], we filtered out 8 differentially expressed genes (DEGs) and validated the transcript levels of those hub genes in 16HBE cell lines, THP-1 cell lines and lung tissue of COPD patients. Results: The 8 hub genes comprised amyloid precursor protein ( Conclusions: We identified 8 hub genes of COPD based on GO, KEGG and WGCNA, which have provided insights into the pathophysiological mechanisms of COPD.
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