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Gene correlation network analysis to identify regulatory factors in sciatic nerve injury
Liuxun Li1, Xiaokang Du1, Haiqian Ling1
1Department of Spine Surgery, the First Affiliated Hospital, Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, Guangdong, China.
Journal of Orthopaedic Surgery and Research
|October 19, 2021
Summary
This study identifies key genes and pathways involved in sciatic nerve injury (SNI) using network analysis. The findings reveal potential biomarkers and therapeutic targets for SNI treatment.
Area of Science:
- Neuroscience
- Genomics
- Bioinformatics
Background:
- Sciatic nerve injury (SNI) can lead to severe motor and sensory deficits.
- Understanding the molecular mechanisms of SNI is crucial for developing effective treatments.
Purpose of the Study:
- To identify regulatory factors and gene networks associated with sciatic nerve injury pathology.
- To uncover potential biomarkers and therapeutic targets for SNI.
Main Methods:
- Weighted gene co-expression network analysis (WGCNA) and differential gene expression analysis were performed on SNI datasets.
- Hub genes were identified by overlapping co-expression and protein-protein interaction networks.
- Functional enrichment, pathway analysis, and immune infiltration analysis were conducted.
Main Results:
- Ten hub genes were identified and found to be significantly upregulated in SNI.
- These hub genes are involved in immune responses, inflammation, and antigen processing.
- Immune cells like Macrophages M2 and Regulatory T cells may play a role in SNI development.
- 25 potential therapeutic drugs were predicted.
Conclusions:
- A gene expression network related to SNI has been elucidated.
- This research provides insights into SNI pathology and identifies potential biomarkers and therapeutic targets.
