ArticleAmerican journal of translational research2024
Bioinformatic analysis and identification of macrophage polarization-related genes in intervertebral disc degeneration.
Article in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Advancing Intervertebral Disc Biology via Omics: Implications for Nucleus Pulposus Progenitor Cell-Based Regeneration.JOR spine · 2025Review
- Construction of a novel 3-gene diagnostic signature related to senescence in intervertebral disc degeneration.European journal of medical research · 2025Article
- Exploring the molecular mechanisms underlying intervertebral disc degeneration by analysing multiple datasets.Scientific reports · 2025Article
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8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundThe relationship between macrophage polarization-related genes (MPRGs) and intervertebral disc degeneration (IDD) is unclear. The purpose of this study was to identify biomarkers associated with IDD.
methodsThree transcriptome sequencing datasets, GSE124272, GSE70362 and GSE56081 were included in this study. Differential expressed genes (DEGs) were obtained by overlapping DEGs1 from the GSE124272 and DEGs2 from the GSE70362. The key module genes associated with the score of MPRGs were identified by weighted gene co-expression network analysis (WGCNA) in GSE12472. Differentially expressed (DE)-MPRGs were acquired by overlapping key module genes and DEGs. Candidate genes were obtained by SVM-RFE algorithm. Biomarkers were obtained by expression level analysis. In addition, immune analysis, enrichment analysis and construction of a ceRNA network were completed. The blood samples from 9 IDD patients (IDD group) and 9 healthy individuals (Control group) were used to verify the expression levels of these biomarkers through RT-qPCR.
resultsA sum of 39 DEGs were obtained by overlapping DEGs1 and DEGs2, and 1,633 key module genes were obtained by WGCNA. 9 DE-MPRGs were obtained by overlapping DEGs and key module genes, and ST6GALNAC2, SMIM3, and IFITM2 were identified as biomarkers. These biomarkers were enriched in KEGG_RIBOSOME pathway. Check-point, Cytolytic_activity, T_cell_co-stimulation, Neutrophils, Th2_cells and TIL differed between IDD and control groups. Some relationships such as SMIM3-hsa-miR-107-LINC02381 were identified in the network. Moreover, the functional analysis results of biomarkers showed that FITM2 and SMIM3 could predict IDD and nociceptive pain. The RT-qPCR showed that ST6GALNAC2 and IFITM2 were significantly expressed in IDD group in contrast to the control group.
conclusionThe macrophage polarization related biomarkers (ST6GALNAC2, SMIM3 and IFITM2) were associated with IDD, among which IFITM2 could be considered as a key gene for IDD. This may provide a new direction for the biological treatment and mechanism research into IDD.
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