Screening Biomarkers for Nerve Injury Using Weighted Gene Co-Expression Network Analysis and Machine Learning.

Key Points

• The research aims to identify biomarkers associated with nerve injury and their roles in nerve repair.
• Utilized weighted gene co-expression network analysis to identify potential biomarkers.
• Applied machine learning techniques to evaluate the significance of identified genes.
• Investigated the roles of Atf3, Bin2, Fcgr2b, and Ucn in neuroimmune interactions.
• Identified Atf3, Bin2, Fcgr2b, and Ucn as key biomarkers for nerve injury.
• Demonstrated dual roles of these biomarkers in neuroimmune crosstalk.
• Highlighted the potential involvement of Fcgr2b in promoting neurite outgrowth after injury.