ArticleScientific reports2025
Integrated bioinformatics analysis identified cuproptosis-related hub gene Mpeg1 as potential biomarker in spinal cord injury.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Cuproptosis in spinal cord injury: emerging mechanisms and immunological relevance.Annals of medicine · 2026Review
- Advances in ferroptosis and cuproptosis: implications for spinal cord injury.Molecular biology reports · 2026Review
- TPEN, a Well-Known Zinc Chelator, Sequesters Attomolar-Buffered Cellular Cu(I) Through an Oxygen-Dependent Mechanism.ACS chemical neuroscience · 2026Article
- Single-cell mapping of cholesterol metabolism reveals FDPS as a therapeutic vulnerability in hepatocellular carcinoma.Cellular oncology (Dordrecht, Netherlands) · 2026Article
- Copper-regulated cell death after spinal cord injury: evidence boundaries for non-coding RNA, epigenetics and cuproptosis.Frontiers in molecular neuroscience · 2026Review
- The potential of platelet-rich plasma and PRP-derived biologics for neurological disorders: mechanisms and translational research.Frontiers in immunology · 2026Review
- Cuproptosis and its potential role in musculoskeletal disease.Frontiers in cell and developmental biology · 2025Review
- The emerging role of cuproptosis in spinal cord injury.Frontiers in immunology · 2025Review
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Spinal cord injury (SCI) is a profound ailment lacking a well-defined molecular mechanism and effective treatments. Cuproptosis, identified as a recently discovered cell death pathway, exhibits diverse roles in various cancers. Nevertheless, its involvement in SCI is yet to be elucidated. Firstly, the RNA sequencing data of 1, 3, 7 dpi SCI samples were collected from GEO database. We performed differential expression analysis on these samples with varying cuproptosis-related scores calculating by ssGSEA. Subsequently, we conducted enrichment analyses with KEGG, GO, and GSEA. Simultaneously, we executed WGCNA analysis using cuproptosis-related scores, selecting the most relevant module for enrichment analysis. Hub genes were identified at the intersection of PPI analysis results from two modules and cuproptosis-related DEGs. Additionally, relying on the immune infiltration landscape associated with cuproptosis, we carried out immune cell correlation analysis on hub genes. Finally, to corroborate our earlier findings, we utilized single-cell RNA-seq analysis and in vitro experimental validation. Based on ssGSEA, differential expression analysis and WGCNA analysis, we identified two modules that were highly relevant to cell division and immune processes, respectively. From these modules, we identified two hub genes, Cd48 and Mpeg1, which exhibited a strong positive correlation (R = 0.92) and shared similar pathways. Furthermore, we observed a positive correlation between M2 macrophages and Cd48/Mpeg1. To validate our findings, we performed external cohort validation using a single-cell RNA sequencing dataset. The results confirmed that Mpeg1 was highly expressed in microglia (macrophages in center nervous system) following spinal cord injury. Additionally, we conducted in vitro experiments to further validate the molecular functions of Mpeg1 in SCI. In summary, targeting Mpeg1, as well as cuproptosis and immune cell infiltration, holds promise as a potential strategy for reducing spinal cord tissue damage and promoting recovery after SCI. These findings provide valuable insights for future therapeutic interventions.
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