Evidence map›Paper›PMID 41142807›Full record

ArticleFrontiers in immunology2025

Integrated bioinformatics and molecular docking analysis reveal potential hub genes and targeted therapeutics in sepsis-associated acute lung injury.

Qiongyan Chen, Yifeng Mao, Shangwen Cai, Xijiang Zhang, Chenghao Zeng, Qingqing Chen, Cheng Zheng

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

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Qiongyan Chen *Department of Respiratory and Critical Care Medicine, Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine, Wenzhou, China.
Yifeng Mao *Department of Critical Care Medicine, Taizhou Municipal Hospital (Taizhou University Affiliated Municipal Hospital), School of Medicine, Taizhou University, Taizhou, China.
Shangwen Cai *Department of Gastroenterology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Xijiang ZhangDepartment of Critical Care Medicine, Taizhou Municipal Hospital (Taizhou University Affiliated Municipal Hospital), School of Medicine, Taizhou University, Taizhou, China.
Chenghao ZengDepartment of Anesthesiology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Qingqing ChenRehabilitation Center, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, China.
Cheng ZhengDepartment of Critical Care Medicine, Taizhou Municipal Hospital (Taizhou University Affiliated Municipal Hospital), School of Medicine, Taizhou University, Taizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sepsis-associated acute lung injury (SA-ALI) is a severe complication of sepsis with high mortality. This study aimed to identify key diagnostic genes and potential therapeutic drugs for SA-ALI. Methods: Transcriptomic data from GSE10474 and GSE32707 were integrated for differential expression and WGCNA analysis. Hub genes were screened using PPI network construction and three machine learning algorithms, and validated by Western blot. Functional enrichment, immune infiltration, and drug prediction (DSigDB) were performed, followed by molecular docking. Results: Six hub genes ( Conclusion: Six diagnostic hub genes and two priority candidate drugs, Celastrol and Thiostrepton, were identified for SA-ALI, providing potential biomarkers and therapeutic targets.

Indexed as

Acute Lung InjuryComputational BiologyMolecular Docking SimulationSepsisGene Expression ProfilingGene Regulatory NetworksHumansProtein Interaction MapsTranscriptomehub genesmachine learningmolecular dockingsepsis-associated acute lung injury (SA-ALI)small-molecule drugs

Identifiers

PMID41142807
PMCPMC12549261

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