ArticleInflammation research : official journal of the European Histamine Research Society ... [et al.]2022
Novel insight into ferroptosis-related genes, molecular subtypes, and immune characteristics in intracranial aneurysms.
Article in Inflammation research : official journal of the European Histamine Research Society ... [et al.], 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 11 citations in OpenAlex.
- RCDRank: a web server to prioritize regulated cell death modalities.BMC bioinformatics · 2026Article
- Unraveling the Link: Ferroptosis and Its Implications in Cerebrovascular Diseases.Biomolecules · 2026Review
- Decoding the biology and clinical implication of neutrophils in intracranial aneurysm.Annals of clinical and translational neurology · 2024Article
- Renal interferon-inducible protein 16 expression is associated with disease activity and prognosis in lupus nephritis.Arthritis research & therapy · 2023Article
- Review
- Identification of diagnostic gene biomarkers and immune infiltration in patients with diabetic kidney disease using machine learning strategies and bioinformatic analysis.Frontiers in medicine · 2022Article
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Authors and funding
6 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis study aimed to identify the role of ferroptosis in intracranial aneurysm (IA).
methodsGSE122897, GSE75436, GSE15629, and GSE75434 datasets were downloaded from the Gene Expression Omnibus database. The differentially expressed ferroptosis-related genes (DEFRGs) were selected to construct a diagnostic model integrating with machine learning. Then, a consensus clustering algorithm was performed to classify IA patients into distinct ferroptosis-related clusters. Functional analyses, including GO, KEGG, GSVA, and GSEA analyses, were conducted to elucidate the underlying mechanisms. ssGSEA and xCell algorithms were performed to uncover the immune characteristics.
resultsWe identified 28 DEFRGs between IAs and controls from the GSE122897 dataset. GO and KEGG results showed that these genes were enriched in cytokine activity, ferroptosis, and the IL-17 signaling pathway. Immune analysis showed that the IAs had higher levels of immune infiltration. A four FRGs model (MT3, CDKN1A, ZEP69B, and ABCC1) was established and validated with great IA diagnostic ability. We divided the IA samples into two clusters and found that cluster 2 had a higher proportion of rupture and immune infiltration. We identified 10 ferroptosis phenotypes-related markers in IAs.
conclusionFerroptosis and the immune microenvironment are closely associated with IAs, providing a basis for understanding the IA development.
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