Analysis of gene expression in microglial apoptotic cell clearance following spinal cord injury based on machine learning algorithms

Spinal cord injury (SCI) is a severe complication of spinal fractures, leading to various degrees of damage to the spinal cord. Microglia, immune cells in the central nervous system, play a dual role in the pathophysiological process after SCI, with both beneficial and detrimental effects. This study used machine learning algorithms to analyze gene expression in microglia after SCI to identify key genes and pathways involved in their function. The results suggest that microglia participate in neuroinflammation and play a significant role in clearing apoptotic cells after SCI. Bioinformatics analysis and experiments on BV2 cells showed that Anxa2, Myo1e, and Spp1 expression levels in microglia were significantly upregulated following SCI, potentially regulating the clearance of apoptotic cells. These genes may be potential targets for treating SCI.

• 1
  Microglia participate in neuroinflammation and play a significant role in the clearance mechanism of apoptotic cells following SCI.
• 2
  The expression levels of Anxa2, Myo1e and Spp1 in microglia were significantly upregulated following SCI.
• 3
  Anxa2, Myo1e and Spp1 may serve as potential targets for the future treatment of SCI.