Integrated machine learning and multi-omics analysis identifies CYP1B1 as a candidate target of orientin in intervertebral disc degeneration-associated low back pain - Summary - MDSpire

Integrated machine learning and multi-omics analysis identifies CYP1B1 as a candidate target of orientin in intervertebral disc degeneration-associated low back pain

  • By

  • Hai-E Liu

  • Dong-Dong Guo

  • Kun Liu

  • Xing-Jing Luo

  • June 24, 2026

  • 0 min

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Objective:

To explore candidate hub genes of orientin related to intervertebral disc degeneration (IDD)-associated low back pain.

Approach:
  • Network Pharmacology Analysis: Identified potential therapeutic targets of orientin and disease-associated genes.
  • Machine Learning: Utilized to identify CYP1B1 as a candidate hub gene with diagnostic performance.
  • Immune Infiltration Analysis: Assessed correlation of CYP1B1 with immune cell subsets.
  • Molecular Docking and Dynamics Simulation: Evaluated binding potential of orientin to CYP1B1.
  • Single-Cell RNA Sequencing (scRNA-seq): Analyzed expression of CYP1B1 in specific cell types.
  • Cell Experiments: Tested the effects of orientin on human annulus fibrosus cells.
Key Findings:
  • 368 overlapped genes identified between orientin and IDD-associated low back pain.
  • CYP1B1 demonstrated excellent diagnostic performance (AUC = 0.95).
  • CYP1B1 showed no correlation with immune cell infiltration levels.
  • Molecular docking revealed favorable binding energies of orientin to CYP1B1.
  • CYP1B1 expression was significantly upregulated in diseased annulus fibrosus fibroblasts.
  • Orientin alleviated IL-1β induced decrease in cell viability and down-regulated CYP1B1 expression.
Interpretation:

CYP1B1 is identified as a potential target for orientin in treating IDD-associated low back pain.

Conclusion:

CYP1B1 is identified as a candidate hub gene for orientin in the context of IDD-associated low back pain.

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