Evidence map›Paper›PMID 39991151›Full record

ArticleFrontiers in immunology2025

Contribution of cuproptosis and immune-related genes to idiopathic pulmonary fibrosis disease.

Chengji Jin, Jia Li, Qiaoyu Li, Lipeng Zhang, Shaomao Zheng, Qiong Feng, Yongjie Li, Yu Zheng, Qiuli Nie, Jin Liang and 1 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Regulated Cell Death in Idiopathic Pulmonary Fibrosis.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Review
  2. Review
  3. 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

11 authors.

Chengji Jin *Department of Respiratory Medicine, The Second Affiliated Hospital, Hainan Medical University, Haikou, China.
Jia Li *The Second School of Clinical Medicine, Hainan Medical University, Haikou, China.
Qiaoyu LiThe Second School of Clinical Medicine, Hainan Medical University, Haikou, China.
Lipeng ZhangThe Second School of Clinical Medicine, Hainan Medical University, Haikou, China.
Shaomao ZhengDepartment of Respiratory Medicine, The Second Affiliated Hospital, Hainan Medical University, Haikou, China.
Qiong FengDepartment of Respiratory Medicine, The Second Affiliated Hospital, Hainan Medical University, Haikou, China.
Yongjie LiDepartment of Thoracic Surgery, The Second Affiliated Hospital, Hainan Medical University, Haikou, China.
Yu ZhengThe Second School of Clinical Medicine, Hainan Medical University, Haikou, China.
Qiuli NieThe Second School of Clinical Medicine, Hainan Medical University, Haikou, China.
Jin LiangDepartment of Rheumatology and Immunology, The Second Affiliated Hospital, Hainan Medical University, Haikou, China.
Jing WangDepartment of Respiratory Medicine, The Second Affiliated Hospital, Hainan Medical University, Haikou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Idiopathic pulmonary fibrosis (IPF) is a degenerative respiratory condition characterized by significant mortality rates and a scarcity of available treatment alternatives. Cuproptosis, a novel form of copper-induced cell death, has garnered attention for its potential implications. The study aimed to explore the diagnostic value of cuproptosis-related hub genes in patients with IPF. Additionally, multiple bioinformatics analyses were employed to identify immune-related biomarkers associated with the diagnosis of IPF, offering valuable insights for future treatment strategies. Methods: Four microarray datasets were selected from the Gene Expression Omnibus (GEO) collection for screening. Differentially expressed genes (DEGs) associated with IPF were analyzed. Additionally, weighted gene coexpression network analysis (WGCNA) was employed to identify the DEGs most associated with IPF. Ultimately, we analyzed five cuproptosis-related hub genes and assessed their diagnostic value for IPF in both the training and validation sets. Additionally, four immune-related hub genes were screened using a protein-protein interaction (PPI) network and evaluated through the receiver operating characteristic (ROC) curve. Lastly, single-cell RNA-seq was employed to further investigate differential gene distribution. Results: We identified a total of 92 DEGs. Bioinformatics analysis highlighted five cuproptosis-related genes as candidate biomarkers, including three upregulated genes ( Conclusion: The research methodically depicted the intricate interplay among five cuproptosis-related genes, four immune-related hub genes, and IPF, offering new ideas for diagnosing and treating patients with IPF.

Indexed as

CopperIdiopathic Pulmonary FibrosisBiomarkersComputational BiologyGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansProtein Interaction MapsSingle-Cell AnalysisTranscriptomeBiomarkersCoppercuproptosis -related genesidiopathic pulmonary fibrosis diseaseimmune infiltrationimmune-related genessingle-cell RNA-seq

Identifiers

PMID39991151
PMCPMC11842377

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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.