Chinese Journal of Tissue Engineering Research ›› 2026, Vol. 30 ›› Issue (12): 3171-3181.doi: 10.12307/2026.663

Previous Articles    

Druggable genome-wide prediction of therapeutic target genes for lumbar spinal stenosis: data analysis based on DgiDB and FinnGen databases

Li Hanyu1, Wang Chaoyi1, Yang Jingyan1, Huang Renjun1, Zhao Yuyang1, Hao Huatao2, Yu Dong2   

  1. 1The Third Clinical School of Beijing University of Chinese Medicine, Beijing 100029, China; 2The Third Affiliated Hospital of Beijing University of Chinese Medicine, Beijing 100029, China
  • Received:2025-02-20 Accepted:2025-08-04 Online:2026-04-28 Published:2025-09-30
  • Contact: Yu Dong, PhD, Chief physician, Master’s supervisor, The Third Affiliated Hospital of Beijing University of Chinese Medicine, Beijing 100029, China
  • About author:Li Hanyu, MS candidate, The Third Clinical School of Beijing University of Chinese Medicine, Beijing 100029, China Wang Chaoyi, MS candidate, The Third Clinical School of Beijing University of Chinese Medicine, Beijing 100029, China Li Hanyu and Wang Chaoyi contributed equally to this work.
  • Supported by:
    Orthopedics and Traumatology of Traditional Chinese Medicine (OCTCM) - First-Class Discipline Construction Project of Beijing University of Chinese Medicine (BUCM) (to YD) 

Abstract: ACKGROUND: Lumbar spinal stenosis is a common and serious degenerative spinal disease. The treatment and prevention measures of lumbar spinal stenosis still have certain limitations. Screening the therapeutic target genes of lumbar spinal stenosis, exploring the wider application range of drugs, and clarifying the mechanism of action of drugs are of great clinical significance.
OBJECTIVE: To explore potential therapeutic targets for lumbar spinal stenosis by Mendelian randomization analysis of the whole genome of druggable genes.
METHODS: Using the FinnGen database of genome and health information of 500 000 Finns, eQTLGen consortium, Drug Signature database, Drug-gene interaction database, protein interaction database, Organic small molecule Biological activity database and protein structure database, two-sample Mendelian randomization analysis and co-localization analysis were performed to identify genes highly associated with lumbar spinal stenosis by combining the data of available genes with the data of lumbar spinal stenosis genome-wide association study. In addition, gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses, protein network construction, drug prediction and molecular docking were performed to provide valuable guidance for the development of more effective and targeted therapeutic drugs.
RESULTS AND CONCLUSION: (1) A total of 32 patentable genes were identified to be significantly associated with lumbar spinal stenosis, among which CCDC77 showed evidence of shared genetic effects with the outcome of lumbar spinal stenosis through Mendelian randomization and co-localization analysis. (2) In addition, differential genes were mainly involved in the positive regulation of cell movement, angiogenesis, adaptive immune response and other biological processes. The up-regulated genes were mainly enriched in the cell adhesion molecule pathway, hypoxia-inducible factor 1 signaling pathway, leukocyte transenthelial migration signaling pathway and other pathways. (3) The results of drug enrichment showed that emodin and prostaglandin E2 were potential drugs for the treatment of lumbar spinal stenosis. To conclude, these findings provide promising clues for the treatment of lumbar spinal stenosis, which offer a new direction for drug research and development, promote the combination of basic and clinical research, and provide a reference for domestic research in related fields.


Key words: lumbar spinal stenosis, Mendelian randomization, DgiDB, druggable genes, FinnGen, emodin, prostaglandin E2

CLC Number: