Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
December 11, 2025Scientific ReportsOpen Access

Unveiling key genes for intervertebral disc degeneration prediction and potential drug discovery

View Full Paper
Ask AI
Bookmark
Share

Authors

TLTianjie LiZhejiang Sci-Tech UniversityYWYuansheng WangSun Yat-sen UniversityBLBo LanFujian Agriculture and Forestry University

Discussion

Loading...

Member takes

Overview

This research reveals key genes and therapeutic drugs for intervertebral disc degeneration, suggesting a diagnostic model's potential.

Key Points

  • This study aims to identify key genes and therapeutic drugs related to intervertebral disc degeneration (IDD).
  • Utilized three gene profile datasets for identifying key genes related to IDD pathogenesis.
  • Employed a scRNA-seq dataset to analyze key gene expression in nucleus pulposus cells.
  • Constructed and validated a diagnostic model for IDD using external datasets.
  • Conducted functional enrichment analysis for genes in the diagnostic model.
  • Identified potential therapeutic drugs using the Connectivity Map database.
  • Identified ELMO1, CKAP4, and SACM1L as critical genes expressed in IDD tissues.
  • Demonstrated high accuracy in the diagnostic model based on these three genes.
  • Confirmed elevated expression of target genes in clinical disc samples via immunohistochemistry.
  • Revealed biological functions and pathways associated with diagnostic model genes.
  • Molecular docking suggested several candidate drugs for IDD treatment.

Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/6940192a2d562116f28f6c2bhttps://doi.org/10.1038/s41598-025-31675-x
View Full Paper
Ask AI
Bookmark
Share

Also Consider

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

  1. 1Identification of core genes in intervertebral disc degeneration using bioinformatics and machine learning algorithms2024 · 14 citations
  2. 2Identification and validation of novel risk genes for intervertebral disc disorder by integrating large-scale multi-omics analyses and experimental studies2025
  3. 3Identification of Biomarkers in Intervertebral Disc Degeneration Using Bioinformatics and Machine Learning Algorithms2024
  4. 4Identifying druggable gene-related biomarkers in intervertebral disc degeneration through transcriptome sequencing and mendelian randomization analysis2026
  5. 5A Cross‐Tissue Transcriptome‐Wide Association Study Identified Susceptibility Genes for Intervertebral Disc Degeneration2025