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March 3, 2026
Open Access
Identification and validation of key complement system-related genes for recurrent spontaneous abortion via WGCNA and machine learning
LC
Lin Chen
Nanyang Technological University
YS
Yu Shao
The First People's Hospital of Guiyang
XP
Xianshun Pan
The First People's Hospital of Guiyang
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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.
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Identification and validation of key complement system-related genes for recurrent spontaneous abortion via WGCNA and machine learning | Synapse
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Chen et al. (Sun,) studied this question.
synapsesocial.com/papers/69a76040c6e9836116a2ccfe
https://doi.org/https://doi.org/10.1007/s10616-026-00901-3