ArticleInternational journal of chronic obstructive pulmonary disease2020
Article in International journal of chronic obstructive pulmonary disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Meta-analysis identifies key genes and pathways implicated in Benzo[a]pyrene exposure response.Chemosphere · 2024Pooled it
- Integrated machine learning and multi-omics analysis identifies CYP1B1 as a candidate target of orientin in intervertebral disc degeneration-associated low back pain.Frontiers in pain research (Lausanne, Switzerland) · 2026Article
- Identification of four key genes related to the diagnosis of chronic obstructive pulmonary disease using bioinformatics analysis.Frontiers in genetics · 2025Article
- Identification and Characterization of a ceRNA Regulatory Network Involving LINC00482 and PRRC2B in Peripheral Blood Mononuclear Cells: Implications for COPD Pathogenesis and Diagnosis.International journal of chronic obstructive pulmonary disease · 2024Article
- Dynamic analysis of gene signatures in the progression of COPD.ERJ open research · 2023Article
- Comparative transcriptomics in human COPD reveals dysregulated genes uniquely expressed in ferrets.Respiratory research · 2022Article
- Identification and validation of aging-related genes in COPD based on bioinformatics analysis.Aging · 2022Article
- Identification and Validation of CDKN1A and HDAC1 as Senescence-Related Hub Genes in Chronic Obstructive Pulmonary Disease.International journal of chronic obstructive pulmonary disease · 2022Article
- Identification of Ferroptosis-Related Hub Genes and Their Association with Immune Infiltration in Chronic Obstructive Pulmonary Disease by Bioinformatics Analysis.International journal of chronic obstructive pulmonary disease · 2022Article
- Identification of Inflammation-Related Biomarker Lp-PLA2 for Patients With COPD by Comprehensive Analysis.Frontiers in immunology · 2021Article
- m6A RNA methylation regulators could contribute to the occurrence of chronic obstructive pulmonary disease.Journal of cellular and molecular medicine · 2020Article
- Identification and Validation of Autophagy-Related Genes in Chronic Obstructive Pulmonary Disease.International journal of chronic obstructive pulmonary diseaseArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Chronic obstructive pulmonary disease (COPD) is a progressive lung disease characterized by poor airflow. The purpose of this study was to explore the mechanisms involved in the development of COPD. Patients and Methods: The mRNA expression profile GSE100281, consisting of 79 COPD and 16 healthy samples, was acquired from the Gene Expression Omnibus database. The differentially expressed genes (DEGs) between COPD samples and healthy samples were analyzed using the limma package. Functional enrichment analysis for the DEGs was carried out using the Database for Annotation, Visualization, and Integrated Discovery (DAVID) tool. Furthermore, DEG-compound pairs were predicted using the Comparative Toxicogenomics Database. The KEGG metabolite IDs corresponding to the compounds were also obtained through the MetaboAnalyst pipeline. Based on the diffusion algorithm, the metabolite network was constructed. Finally, the expression levels of key genes were determined using quantitative PCR (qPCR). Results: There were 594 DEGs identified between the COPD and healthy samples, including 242 upregulated and 352 downregulated genes. A total of 696 DEG-compound pairs, such as Conclusion:
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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.