Evidence map›Paper›PMID 41684571›Full record

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.

Lihai Zhang, Zhipeng Zhang, Tong Yu, Zhangyan Geng, Lindong Yuan

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Lihai ZhangDepartment of Respiratory and Critical Care, First Hospital of Hebei Medical University, Shijiazhuang City, Hebei Province, China.
Zhipeng ZhangRespiratory Medicine, Jiyang District People's Hospital, Jiyang District, Jinan, Shandong Province, China.
Tong YuDepartment of Respiratory and Critical Care Medicine, Liaocheng People's Hospital, Liaocheng City, China.
Zhangyan GengDepartment of Geriatrics, First Hospital of Hebei Medical University, Shijiazhuang City, Hebei Province, China.
Lindong YuanDepartment of Respiratory and Critical Care Medicine, Liaocheng People's Hospital, Liaocheng City, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

biomarkerchronic obstructive pulmonary disease (COPD)pathogenesisRNA-Seq

Identifiers

PMID41684571
PMCPMC12892272

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