Identification and validation of key complement system-related genes for recurrent spontaneous abortion via WGCNA and machine learning

Key Points

• Recurrent spontaneous abortion associates with specific complement system-related genes, indicating pathways for intervention.
• The study identifies 12 key genes linked to risk, emphasizing the role of the complement system in pregnancy loss.
• Analysis combines weighted gene co-expression network analysis (WGCNA) and machine learning to identify risk factors.
• Findings suggest that targeting these genes may enhance understanding of recurrent spontaneous abortion and its prevention.