Evidence map›Paper›PMID 39950319›Full record

ArticleMolecular medicine reports2025

Identification and validation of biomarkers related to mitophagy in chronic obstructive pulmonary disease.

Jie Chen, Xiaofeng Zhang, Gengyun Sun

Abstract read
In one paragraph

Article in Molecular medicine reports, 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

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

1 citing paper in PubMed.

  1. Exploring the Roles of Wnt Signaling Pathway and Non-Coding RNAs in COPD.International journal of chronic obstructive pulmonary disease · 2026
    Review
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

3 authors.

Jie ChenDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, P.R. China.
Xiaofeng ZhangDepartment of General Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230601, P.R. China.
Gengyun SunDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitophagy plays significant roles in chronic obstructive pulmonary disease (COPD). The present study aimed to screen and validate mitophagy‑related genes in COPD by using bioinformatic analysis and experimental validation. The original data were downloaded from Gene Expression Omnibus datasets and 29 mitophagy‑related genes sets were acquired from the Molecular Signatures Database. The differentially expressed mitophagy‑related genes (DEMRGs) were screened using the Wilcoxon test. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis were conducted for the identification of DEMRGs. In addition, clustering analysis was used to assess the differential expression characteristics of DEMRGs in patients with COPD. Least absolute shrinkage and selection operator (LASSO) regression analysis was performed to identify signature genes with COPD diagnostic significance; these genes were validated using the test dataset. In addition, the degree of infiltration of 28 immune cells in COPD and control samples was assessed. Finally, cigarette smoke extract (CSE)‑treated bronchial epithelial cells were employed to verify the role of signature genes in regulating mitophagy

Indexed as

BiomarkersMitophagyPulmonary Disease, Chronic ObstructiveComputational BiologyFemaleGene Expression ProfilingGene OntologyHumansMaleMiddle AgedBiomarkersbioinformatics analysischronic obstructive pulmonary diseasemitophagymitophagy‑related genesMTERF3

Identifiers

PMID39950319
PMCPMC11843435

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Registered trials

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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.