ArticleBiochemical genetics2024
Bioinformatics Analysis and Identification of Ferroptosis-Related Hub Genes in Intervertebral Disc Degeneration.
Article in Biochemical genetics, 2024. 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, 5 citations in OpenAlex.
- A deep dive into ferritin nanoparticle advancements: experimental and computational perspectives.Discover nano · 2026Review
- Mechanotransduction in intervertebral disc degeneration: from compartment-specific sensors to translational frontiers.Frontiers in bioengineering and biotechnology · 2026Review
- Construction of a novel 3-gene diagnostic signature related to senescence in intervertebral disc degeneration.European journal of medical research · 2025Article
- Tie2-mediated CBL ubiquitination of EGFR underlies ultrasound-responsive silk fibroin/graphene oxide hydrogel-troxerutin therapy for intervertebral disc degeneration.Materials today. Bio · 2025Article
- Comprehensive profiling of immune cell infiltration and biomarker identification in intervertebral disc degeneration.Journal of orthopaedic surgery and research · 2025Article
- Bulk RNA-seq conjoined with ScRNA-seq analysis reveals the molecular characteristics of nucleus pulposus cell ferroptosis in rat aging intervertebral discs.Arthritis research & therapy · 2025Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Approximately 80% of individuals encounter lower back pain (LBP), a prevalent clinical issue largely attributed to intervertebral disc degeneration (IDD). Ferroptosis is an iron-dependent lipid peroxidation-driven cell death, and there is growing evidence that ferroptosis plays an important role in various human diseases. However, the underlying mechanism of ferroptosis in IDD remains unclear. This study aims to reveal the potential hub genes and related pathways of ferroptosis in the pathogenesis and progression of IDD. In this study, we analyzed three microarray datasets from the GEO database. Additionally, we downloaded ferroptosis-related genes from FerrDb-V2 and extracted apoptosis-related genes from UniProt as a control to show the specificity of ferroptosis. Weighted gene co-expression network analysis (WGCNA) was performed to identify the IDD-related module genes. Then, ferroptosis-related genes and apoptosis-related genes were separately overlapped with the IDD-related module genes, resulting in the identification of 35 ferroptosis-related module genes (FRMG) and 142 apoptosis-related module genes (ARMG). Furthermore, we performed functional enrichment analysis and protein-protein interaction network, and Cytoscape along with CytoHubba was used to identify the hub genes. Finally, logistic regression models were constructed and identified two hub FRMGs (PTEN and EGFR) and one hub ARMG (CTNNB1), which could distinguish IDD patients from controls (P < 0.05). The areas under the ROC curves were 0.792 and 0.730, respectively, suggesting that ferroptosis is more specific than apoptosis in IDD. In conclusion, this study provided fresh perspectives on ferroptosis in the pathogenesis and progression of IDD that can be used to evaluate potential biomarker genes and therapeutic targets.
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