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November 12, 2025Frontiers in MedicineOpen Access

Identification and validation of novel risk genes for intervertebral disc disorder by integrating large-scale multi-omics analyses and experimental studies

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Authors

ZZZhe ZhangCYChen YuQWQianjin Wang

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Overview

Integration of multi-omics analyses shows novel genetic targets for intervertebral disc disorder, highlighting potential drug targets and pathways.

Key Points

  • This research aims to identify and validate novel risk genes associated with intervertebral disc disorder using multi-omics approaches.
  • Integrated analyses of transcriptome-wide and proteome-wide association studies
  • Colocalization of expression quantitative trait loci and protein quantitative trait loci
  • Functionality assessment in human intervertebral disc tissues and a mouse IDD model
  • Network analysis for protein-protein interactions and enrichment evaluation.
  • Identification of 104 genes and 10 proteins linked to intervertebral disc disorder
  • Key genes include TMEM190, CILP2, and FOXO3 with significant roles in degeneration
  • CILP2 shown as a potentially druggable target with functional evidence from mouse models.

Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/692523d4c0ce034ddc355504https://doi.org/10.3389/fmed.2025.1698050
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Cross‐Tissue Transcriptome‐Wide Association Study Identified Susceptibility Genes for Intervertebral Disc Degeneration2025 · 1 citations
  2. 2Identification of core genes in intervertebral disc degeneration using bioinformatics and machine learning algorithms2024 · 14 citations
  3. 3Unveiling key genes for intervertebral disc degeneration prediction and potential drug discovery2025
  4. 4Identifying druggable gene-related biomarkers in intervertebral disc degeneration through transcriptome sequencing and mendelian randomization analysis2026
  5. 5Identification of Biomarkers in Intervertebral Disc Degeneration Using Bioinformatics and Machine Learning Algorithms2024