Identification of key genes and signaling pathways associated with acute pancreatitis and acute lung injury by bioinformatics analysis

OBJECTIVE: To identify key genes and shared pathogenic pathways associated with acute pancreatitis-associated acute lung injury (AP-ALI), through bioinformatics analysis, and to provide potential molecular targets for the diagnosis and treatment of AP-ALI. METHODS: The cerulein-induced severe acute pancreatitis (SAP) mouse lung tissue dataset (GSE244335), lipopolysaccharide (LPS)-induced acute lung injury (ALI) mouse lung tissue dataset (GSE216943), and human AP patient peripheral blood dataset (GSE194331) were retrieved from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were screened. Subsequently, we conducted a series of bioinformatic analyses, including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and protein-protein interaction (PPI) network construction. The PPI network was constructed and hub genes were screened. Cross-species consistency of key pathways was verified using the human dataset. RESULTS: A total of 469 and 153 DEGs were screened from GSE244335 and GSE216943, respectively, with 94 overlapping common DEGs. GO/KEGG enrichment analyses showed that these common DEGs were mainly enriched in immune-inflammatory responses, chemokine receptor binding, and NF-κB signaling pathways. PPI network analysis identified the top 10 hub genes in mice (IL-1β, CCL3, CXCL2, CXCL10, CCL2, CXCL9, CXCL1, CXCR2, TLR2, TNF). Ten hub genes (S100A9, ARG1, RETN, etc.) were screened from the human AP dataset (GSE194331). Cross-species comparison of mouse lung tissue and human peripheral blood revealed 6 common GO-BP terms related to systemic inflammatory responses, suggesting shared mechanisms between local lung injury and systemic inflammation in AP. CONCLUSIONS: The identified hub genes (e.g., IL-1β, CXCL2) and the IL-17/NF-κB signaling pathway represent candidate molecular signatures implicated in AP-ALI. These computational findings generate testable hypotheses regarding inflammatory mechanisms, potentially highlighting shared systemic inflammatory processes between mouse lung injury and human peripheral blood. Direct validation in human pulmonary tissue or bronchoalveolar lavage fluid is warranted to confirm their local pathogenic relevance.

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Journal
PLoS ONE
Published
2026-05-22
DOI
https://doi.org/10.1371/journal.pone.0350013
Primary Topic
Pancreatitis Pathology and Treatment
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article
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article

Identification of key genes and signaling pathways associated with acute pancreatitis and acute lung injury by bioinformatics analysis

Lingfeng Chen, 洪春霖, Fengzhu Guo
PLoS ONE
Pancreatitis Pathology and Treatment
article

Identification of key genes and signaling pathways associated with acute pancreatitis and acute lung injury by bioinformatics analysis

Lingfeng Chen, 洪春霖, Fengzhu Guo
article en

Abstract

OBJECTIVE: To identify key genes and shared pathogenic pathways associated with acute pancreatitis-associated acute lung injury (AP-ALI), through bioinformatics analysis, and to provide potential molecular targets for the diagnosis and treatment of AP-ALI. METHODS: The cerulein-induced severe acute pancreatitis (SAP) mouse lung tissue dataset (GSE244335), lipopolysaccharide (LPS)-induced acute lung injury (ALI) mouse lung tissue dataset (GSE216943), and human AP patient peripheral blood dataset (GSE194331) were retrieved from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were screened. Subsequently, we conducted a series of bioinformatic analyses, including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and protein-protein interaction (PPI) network construction. The PPI network was constructed and hub genes were screened. Cross-species consistency of key pathways was verified using the human dataset. RESULTS: A total of 469 and 153 DEGs were screened from GSE244335 and GSE216943, respectively, with 94 overlapping common DEGs. GO/KEGG enrichment analyses showed that these common DEGs were mainly enriched in immune-inflammatory responses, chemokine receptor binding, and NF-κB signaling pathways. PPI network analysis identified the top 10 hub genes in mice (IL-1β, CCL3, CXCL2, CXCL10, CCL2, CXCL9, CXCL1, CXCR2, TLR2, TNF). Ten hub genes (S100A9, ARG1, RETN, etc.) were screened from the human AP dataset (GSE194331). Cross-species comparison of mouse lung tissue and human peripheral blood revealed 6 common GO-BP terms related to systemic inflammatory responses, suggesting shared mechanisms between local lung injury and systemic inflammation in AP. CONCLUSIONS: The identified hub genes (e.g., IL-1β, CXCL2) and the IL-17/NF-κB signaling pathway represent candidate molecular signatures implicated in AP-ALI. These computational findings generate testable hypotheses regarding inflammatory mechanisms, potentially highlighting shared systemic inflammatory processes between mouse lung injury and human peripheral blood. Direct validation in human pulmonary tissue or bronchoalveolar lavage fluid is warranted to confirm their local pathogenic relevance.

PLoS ONEVol. 21(5)
Fujian Medical University (CN), Zhangzhou Municipal Hospital of Fujian Province (CN)
Good health and well-being
Openalex Percentile: Top 5%
Pancreatitis Pathology and Treatment
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