ArticleScientific reports2024
Peripheral blood transcriptomic analysis identifies potential inflammation and immune signatures for central retinal artery occlusion.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed, 5 citations in OpenAlex.
- Multiomics reveals fatty acid metabolism and immune remodeling in retinal artery occlusion.iScience · 2026Article
- Comparative peripheral inflammatory biomarker profiles in central and branch retinal artery occlusion: a retrospective study.BMC ophthalmology · 2026Observational
- Integrative transcriptomic analysis identifies an oxidative stress-associated diagnostic signature for myocardial infarction.Journal of thrombosis and thrombolysis · 2026Article
- Exploring Potential Causality and Molecular Mechanisms between Heart Failure and Renal Failure: Insights from Mendelian Randomization Studies, the MIMIC-IV Database and the Gene Expression Omnibus Database.Journal of vascular research · 2025Article
- Circulating serum fibroblast growth factor 21 as risk and prognostic biomarker of retinal artery occlusion.Scientific reports · 2024Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Central retinal artery occlusion (CRAO) is an acute retinal ischaemic disease, but early diagnosis is challenging due to a lack of biomarkers. Blood samples were collected from CRAO patients and cataract patients. Gene expression profiles were distinct between arterial/venous CRAO blood (A-V group) and venous CRAO/control blood (V-C group) samples. Differentially expressed genes (DEGs) were subjected to GO and KEGG enrichment analyses. Hub genes were identified by Cytoscape and used to predict gene interactions via GeneMANIA. Immune cell infiltration was analysed by CIBERSORT. More than 1400 DEGs were identified in the A-V group and 112 DEGs in the V-C group compared to controls. The DEGs in both groups were enriched in the ribosome pathway, and those in the V-C group were also enriched in antigen processing/MHC pathways. Network analysis identified ribosomal proteins (RPS2 and RPS5) as the core genes of the A-V group and MHC genes (HLA-F) as the core genes of the V-C group. Coexpression networks showed ribosomal involvement in both groups, with additional immune responses in the V-C group. Immune cell analysis indicated increased numbers of neutrophils and T cells. Ribosomal and MHC-related genes were identified as potential CRAO biomarkers, providing research directions for prevention, diagnosis, treatment and prognosis.
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