Evidence map›Paper›PMID 40642530›Full record

ArticleFrontiers in molecular biosciences2025

Identification of diagnostic hub genes related to energy metabolism in idiopathic pulmonary fibrosis.

S Zhao, B C Sun, N Liu, R Huo, L S Liu, J P Wang, C Y Fang

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

S Zhao *College of Traditional Chinese Medicine, Hebei University of Chinese Medicine, Shijiazhuang, Hebei, China.
B C Sun *College of Traditional Chinese Medicine, Hebei University of Chinese Medicine, Shijiazhuang, Hebei, China.
N LiuCollege of Traditional Chinese Medicine, Hebei University of Chinese Medicine, Shijiazhuang, Hebei, China.
R HuoCollege of Traditional Chinese Medicine, Hebei University of Chinese Medicine, Shijiazhuang, Hebei, China.
L S LiuCollege of Traditional Chinese Medicine, Hebei University of Chinese Medicine, Shijiazhuang, Hebei, China.
J P WangCollege of Traditional Chinese Medicine, Hebei University of Chinese Medicine, Shijiazhuang, Hebei, China.
C Y FangCollege of Traditional Chinese Medicine, Hebei University of Chinese Medicine, Shijiazhuang, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Idiopathic pulmonary fibrosis (IPF) is a chronic and progressive lung disease that worsens over time, culminating in respiratory failure. Emerging evidence implicates dysregulated energy metabolism in driving fibroblast activation and extracellular matrix remodeling during IPF pathogenesis. To systematically investigate metabolic reprogramming mechanisms, we performed integrated bioinformatics analyses focusing on energy metabolism-related differentially expressed genes (EMRDEGs) and their regulatory networks in fibrotic remodeling. Methods: Differentially Expressed Genes (DEGs) were identified by accessing datasets GSE242063 and GSE110147 from the GEO database. Energy metabolism-related genes (EMRGs) were extracted from GeneCards, followed by Venn diagram analysis to obtain EMRDEGs. Subsequent analyses included functional enrichment (GO/KEGG), protein-protein interaction network, and mRNA-miRNA, mRNA-transcription factor interaction networks. Immune infiltration analyses, including the CIBERSORT algorithm, and single-sample gene set enrichment analysis (ssGSEA), were subsequently conducted. Results: We identified 12 EMRDEGs and eight hub genes ( Conclusion: The core EMRDEGs (

Indexed as

DGE analysisenergy matebolismGEOhub genesIPF (idiopathic pulmonary fibrosis)

Identifiers

PMID40642530
PMCPMC12241802

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.