Evidence map›Paper›PMID 40253492›Full record

ArticleScientific reports2025

Identification of shared important genes associated with ferroptosis across different etiologies of acute lung injury.

Jing Li, Yanming Yang, Zhengjun Cui

Abstract read
In one paragraph

Article in Scientific reports, 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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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

  1. Structural Characterization of Acidic Polysaccharides fromAntioxidants (Basel, Switzerland) · 2026
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Jing LiDepartment of Burns and Reconstructive Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
Yanming YangDepartment of Respiratory Medicine, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China.
Zhengjun CuiDepartment of Burns and Reconstructive Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China. czj0371456@163.com.

Funding

National Natural Science Cooperation Foundation of China U1604188
6 · The paper itself

Abstract

Acute lung injury (ALI) of different etiologies has shared pathophysiologic process, from which we speculated that ALI of different etiologies may share common molecular features. While the shared genetic characteristics of ALI remain unclear. In this paper, we aimed to identify shared ferroptosis-associated and bottleneck genes from acute lung injury of different etiologies. Firstly, we extracted five groups of gene sets related to three distinct models of ALI from the Gene Expression Omnibus (GEO) database. Then, through the utilization of weighted gene co-expression network analysis (WGCNA), we identified 3 significant gene modules and ascertained 7 shared co-expressed genes affected by these models. Subsequently, through the utilization of differential gene expression analysis and protein-protein interaction network analysis for the 3 gene modules, the shared bottleneck gene Slc7a11 was identified. Moreover, the 7 shared co-expressed genes subjected to these three ALI models were used to identify shared ferroptosis-associated genes via the FerrDb database. Finally, the key gene Slc7a11 was confirmed and validated. In addition, we observed that Slc7a11 is both a driver and a suppressor gene in the FerrDb database. Interestingly, we found the expression level of Slc7a11 was significantly upregulated in the three ALI models. Experimentally, we confirmed the expression of Slc7a11 in rat ALI tissues by using immunofluorescence staining and real-time polymerase chain reaction (qRT-PCR) assays. Collectively, our findings complement the exploration of the shared pathogenesis of ALI. There are genetic features shared by ALI of different etiology and the increased expression of Slc7a11 was identified in the three different etiologies of ALI, which can improve our understanding of the shared molecular mechanisms underlying ALI.

Indexed as

Acute Lung InjuryAmino Acid Transport System y+FerroptosisAnimalsDatabases, GeneticDisease Models, AnimalGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansProtein Interaction MapsRatsAmino Acid Transport System y+Acute lung injuryBioinformaticsFerroptosisShared geneWGCNA

Identifiers

PMID40253492
PMCPMC12009320

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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.