ArticleArchives of medical science : AMS2025
Identifying potential molecular markers and therapeutic targets for chronic obstructive pulmonary disease using transcriptome sequencing and gene expression chip technology.
Article in Archives of medical science : AMS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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
1 citing paper in PubMed.
- Associations between leisure sedentary behaviors, physical activity, and chronic respiratory diseases: a Mendelian randomization study.Archives of medical science : AMS · 2025Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Chronic obstructive pulmonary disease (COPD) is a progressive lung disorder characterized by persistent respiratory symptoms and progressive airflow obstruction. The global rise in COPD incidence and mortality imposes a significant societal burden. Despite its prevalence, the intricate pathogenesis of COPD remains incompletely understood. This study aimed to identify molecular markers and potential therapeutic targets by integrating known COPD-related genes and analyzing RNA-Seq and expression microarray data. Material and methods: We conducted a comprehensive analysis by combining RNA-Seq and expression microarray data for COPD, focusing on known COPD-associated genes. Differential expression analysis revealed insights into the cellular biological processes and signaling pathways underlying COPD pathogenesis. Functional modules closely linked to COPD were identified through protein interaction network analysis. Results: The analysis of differentially expressed genes (DEGs) highlighted the significance of cellular processes such as chemotaxis, cell migration, cellular stress, and apoptosis in COPD pathogenesis. Key signaling pathways, including NF-κB, JAK-STAT, T cell receptor, and NOD-like receptor pathways, were identified as crucial contributors to COPD development. Protein interaction network analysis revealed functional modules associated with COPD. Validation through qRT-PCR and immunoblotting confirmed Conclusions: Our findings provide valuable insights into the molecular landscape of COPD, identifying PTX3 and CYP1B1 as promising candidates for further investigation as potential biomarkers and therapeutic targets. This research contributes to a better understanding of COPD pathogenesis, offering avenues for the development of targeted interventions to address this escalating global health concern.
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