Identification of age-specific biomarkers of spinal cord injury: A bioinformatics analysis of young and aged mice models

This study investigates the differences in gene expression between young and aged mice after spinal cord injury (SCI) using bioinformatics methods. The researchers identified genes that are expressed differently in young versus aged mice after SCI, which could potentially serve as biomarkers. The study also explored which biological pathways are most affected in young versus aged mice after SCI, providing insights into the different recovery processes.

• 1
  The study identified 2560 differentially expressed genes (DEGs) in young SCI mice and 3048 DEGs in aged SCI mice compared to their respective controls.
• 2
  Gene Set Enrichment Analysis (GSEA) revealed different enriched signaling pathways in young and aged SCI groups, including IL6/JAK/STAT3 signaling and interferon responses.
• 3
  Weighted Gene Co-expression Network Analysis (WGCNA) identified the turquoise module as significantly associated with clinical traits in both young and aged SCI, revealing 3181 hub genes.