Machine Learning Identifies FLNA as a Key Molecular Target Regulating Neuronal Apoptosis after Spinal Cord Injury.

ABSTRACT: Spinal cord injury (SCI), a traumatic type of central nervous system injury, is closely associated with neuronal apoptosis. However, the specific biomarkers and regulatory mechanisms of neuronal apoptosis in SCI patients remain unclear. In this study, we aimed to identify differentially expressed proteins (DEPs) that regulate neuronal apoptosis after SCI and reveal potential diagnostic and therapeutic targets. Spinal cord tissues were collected for LC‒MS/MS analysis at five different time points after injury. Enrichment analysis, WGCNA, random forest, support vector machine recursive feature elimination, and receiver operating characteristic (ROC) curve analysis methods were used to identify proteins and pathways associated with neuronal apoptosis. Validation was performed using a rat mode

SUBMITTER: Pei Y 

PROVIDER: S-EPMC12619718 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature