ArticleJournal of cellular and molecular medicine2024
Analysis of neutrophil extracellular trap-related genes in Crohn's disease based on bioinformatics.
Article in Journal of cellular and molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Neutrophils and NETs in Pathophysiology and Treatment of Inflammatory Bowel Disease.International journal of molecular sciences · 2025Review
- Unveiling the Temporal Dynamics and Molecular Regulation Profiles of Neutrophil Extracellular Traps Following Spinal Cord Injury.Journal of inflammation research · 2025Article
- Shielding the Gut: Ghrelin and Ferrostatin-1's Protective Role Against Sepsis-Induced Intestinal Ferroptosis.Biomedicines · 2024Article
- Analysis of neutrophil extracellular trap-related genes in Crohn's disease based on bioinformatics.Journal of cellular and molecular medicine · 2024Article
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Authors and funding
9 authors.
Funding
Abstract
Crohn's disease (CD) presents with diverse clinical phenotypes due to persistent inflammation of the gastrointestinal tract. Its global incidence is on the rise. Neutrophil extracellular traps (NETs) are networks released by neutrophils that capture microbicidal proteins and oxidases targeting pathogens. Research has shown that NETs are implicated in the pathogenesis of several immune-mediated diseases such as rheumatoid arthritis, systemic lupus erythematosus and inflammatory bowel disease. The goal of this study was to identify a panel of NET-related genes to construct a diagnostic and therapeutic model for CD. Through analysis of the GEO database, we identified 1950 differentially expressed genes (DEGs) associated with CD. Gene enrichment and immune cell infiltration analyses indicate that neutrophil infiltrates and chemokine-related pathways are predominantly involved in CD, with other immune cells such as CD4 and M1 macrophages also playing a role in disease progression. Utilizing weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) networks, we identified six hub genes (SPP1, SOCS3, TIMP1, IRF1, CXCL2 and CD274). To validate the accuracy of our model, we performed external validation with statistical differences(p < 0.05). Additionally, immunohistochemical experiments demonstrated higher protein expression of the hub genes in colonic tissues from CD patients compared to healthy subjects (p < 0.05). In summary, we identified six effective hub genes associated with NETs as potential diagnostic markers for CD. These markers not only offer targets for future research but also hold promise for the development of novel therapeutic interventions for CD.
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