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pmid:37736497

Role of ferroptosis and immune infiltration in intervertebral disc degeneration: novel insights from bioinformatics analyses.

Xiao-Wei Liu · Hao-Wei Xu · Yu-Yang Yi · Shu-Bao Zhang · Shan-Jin Wang

Frontiers in cell and developmental biology · 2023 doi:10.3389/fcell.2023.1170758

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:37736497
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science-record
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2026-11-01T19:02:34Z
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2026-11-01T22:52:45Z
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paper object · 10 fields
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title
Role of ferroptosis and immune infiltration in intervertebral disc degeneration: novel insights from bioinformatics analyses.
doi
10.3389/fcell.2023.1170758
pmid
37736497
authors array · 5 items
[0]
Xiao-Wei Liu
[1]
Hao-Wei Xu
[2]
Yu-Yang Yi
[3]
Shu-Bao Zhang
[4]
Shan-Jin Wang
journal
Frontiers in cell and developmental biology
year
2023
abstract
Background: Intervertebral disc degeneration (IVDD), which contributes to stenosis of the spinal segment, commonly causes lower back pain. The process of IVDD degradation entails gradual structural adjustments accompanied by extreme transformations in metabolic homeostasis. However, the molecular and cellular mechanisms associated with IVDD are poorly understood. Methods: The RNA-sequencing datasets GSE34095 and GSE56081 were obtained from the Gene Expression Omnibus (GEO) database. Ferroptosis-related differentially expressed genes (DEGs) were identified from these gene sets. The protein-protein interaction (PPI) network was established and visualized using the STRING database and Cytoscape software, and the key functional modules of ferroptosis-related genes were identified. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed on the DEGs. Weighted gene co-expression network analysis (WGCNA), immune infiltration analysis in the GEO database, and other GSE series were used as validation datasets. The xCELL algorithm was performed to investigate the immune cell infiltration differences between the degenerated IVDD and control groups. Results: The major genes involved in nucleus pulposus tissue immune infiltration and ferroptosis-related genes were mined by bioinformatics analysis. A total of 3,056 DEGs were obtained between the IVDD tissue and control groups. The DEGs were enriched in the cell cycle; apoptosis; necroptosis; and the PI3K-Akt, Hippo, and HIF-1 signaling pathways. PCR and Western blot techniques were utilized to confirm the differential ferroptosis-related genes. The results indicated that the protein expression levels of NCOA4 and PCBP1 were elevated, while the protein expression level of GPX4 was reduced in NPCs following IL-1β treatment. Our study has found that severe disc tissue degeneration leads to a noteworthy increase in the expression of CD8A in naive T cells, CCR7 in memory CD4+ cells, GZMB in natural killer (NK) cells, and CD163 and CD45 in macrophages. Conclusion: Our data demonstrate that ferroptosis occurs in IVDD, suggesting that ferroptosis may also increase IVDD improvement by triggering immune infiltration. This work was conducted to further understand IVDD pathogenesis and identify new treatment strategies.
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The limma package in R was utilized to analyze differential gene expression in the GSE34095 and GSE56081 sample groups.
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The limma package in R was utilized to analyze differential gene expression in the GSE34095 and GSE56081 sample groups.
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The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.
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After screening, a total of 3,056 differentially expressed genes were detected, with 1,815 genes upregulated and 1,241 genes downregulated (|log2 FC|>1 and p < 0.05).
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sections[17] "3.1 Identification of DEGs and enrichment analyses" paragraph 2
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After screening, a total of 3,056 differentially expressed genes were detected, with 1,815 genes upregulated and 1,241 genes downregulated (|log2 FC|>1 and p < 0.05).
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After screening, a total of 3,056 differentially expressed genes were detected, with 1,815 genes upregulated and 1,241 genes downregulated (|log2 FC|>1 and p < 0.05).
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Transcriptome signatures reveal candidate key genes in the whole blood of patients with lumbar disc prolapse
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IL-1 Exposure Significantly increases gene expression of BDNF, NTF3 and NRP2 as well as NGF Production in Human Annulus Cells
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Expression data between human degenerative and non-degenerative intervertebral discs
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Gene Expression Profiling Identifies Interferon Signalling Molecules and IGFBP3 in Human Degenerative Annulus Fibrosus
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ith IVDD are poorly understood. Methods: The RNA-sequencing datasets GSE34095 and GSE56081 were obtained
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37736497", "kind": "science-record", "revision": 4, "content_hash": "sha256:113ada8e39c50a445b8a3f60dd8db47504f2cc58e643ef823bc8a75e398c475c", "created_at": "2026-11-01T19:02:34Z", "updated_at": "2026-11-01T22:52:45Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Role of ferroptosis and immune infiltration in intervertebral disc degeneration: novel insights from bioinformatics analyses.", "doi": "10.3389/fcell.2023.1170758", "pmid": "37736497", "authors": ["Xiao-Wei Liu", "Hao-Wei Xu", "Yu-Yang Yi", "Shu-Bao Zhang", "Shan-Jin Wang"], "journal": "Frontiers in cell and developmental biology", "year": 2023, "abstract": "Background: Intervertebral disc degeneration (IVDD), which contributes to stenosis of the spinal segment, commonly causes lower back pain. The process of IVDD degradation entails gradual structural adjustments accompanied by extreme transformations in metabolic homeostasis. However, the molecular and cellular mechanisms associated with IVDD are poorly understood. Methods: The RNA-sequencing datasets GSE34095 and GSE56081 were obtained from the Gene Expression Omnibus (GEO) database. Ferroptosis-related differentially expressed genes (DEGs) were identified from these gene sets. The protein-protein interaction (PPI) network was established and visualized using the STRING database and Cytoscape software, and the key functional modules of ferroptosis-related genes were identified. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed on the DEGs. Weighted gene co-expression network analysis (WGCNA), immune infiltration analysis in the GEO database, and other GSE series were used as validation datasets. The xCELL algorithm was performed to investigate the immune cell infiltration differences between the degenerated IVDD and control groups. Results: The major genes involved in nucleus pulposus tissue immune infiltration and ferroptosis-related genes were mined by bioinformatics analysis. A total of 3,056 DEGs were obtained between the IVDD tissue and control groups. The DEGs were enriched in the cell cycle; apoptosis; necroptosis; and the PI3K-Akt, Hippo, and HIF-1 signaling pathways. PCR and Western blot techniques were utilized to confirm the differential ferroptosis-related genes. The results indicated that the protein expression levels of NCOA4 and PCBP1 were elevated, while the protein expression level of GPX4 was reduced in NPCs following IL-1β treatment. Our study has found that severe disc tissue degeneration leads to a noteworthy increase in the expression of CD8A in naive T cells, CCR7 in memory CD4+ cells, GZMB in natural killer (NK) cells, and CD163 and CD45 in macrophages. Conclusion: Our data demonstrate that ferroptosis occurs in IVDD, suggesting that ferroptosis may also increase IVDD improvement by triggering immune infiltration. This work was conducted to further understand IVDD pathogenesis and identify new treatment strategies.", "claims": [{"id": "claim-method", "statement": "The limma package in R was utilized to analyze differential gene expression in the GSE34095 and GSE56081 sample groups.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37736497", "locator": "sections[4] \"2.2 Differentially expressed gene identification and functional enrichment analysis\" paragraph 2", "quote": "The limma package in R was utilized to analyze differential gene expression in the GSE34095 and GSE56081 sample groups."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37736497", "locator": "sections[26] \"Data availability statement\" paragraph 2", "quote": "The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author."}], "state": "complete"}, {"id": "claim-target-result", "statement": "After screening, a total of 3,056 differentially expressed genes were detected, with 1,815 genes upregulated and 1,241 genes downregulated (|log2 FC|>1 and p < 0.05).", "kind": "quantitative", "target": {"value": 0.05, "unit": "p-value", "tolerance": null, "source": "After screening, a total of 3,056 differentially expressed genes were detected, with 1,815 genes upregulated and 1,241 genes downregulated (|log2 FC|>1 and p < 0.05)."}, "evidence": [{"asset": "source:pmid:37736497", "locator": "sections[17] \"3.1 Identification of DEGs and enrichment analyses\" paragraph 2", "quote": "After screening, a total of 3,056 differentially expressed genes were detected, with 1,815 genes upregulated and 1,241 genes downregulated (|log2 FC|>1 and p < 0.05)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "After screening, a total of 3,056 differentially expressed genes were detected, with 1,815 genes upregulated and 1,241 genes downregulated (|log2 FC|>1 and p < 0.05).", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:37736497"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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