Bioinformatics analysis of gene expression profile and key pathways related to fatty infiltration after rotator cuff injury
10.3969/j.issn.2095-4344.3083
- Author:
Peidong LIU
1
Author Information
1. Department of Sports Medicine, Second Hospital of Shanxi Medical University
- Publication Type:Journal Article
- Keywords:
Bioinformatics;
Differential genes;
Fatty infiltration;
GEO database;
Rotator cuff tear
- From:
Chinese Journal of Tissue Engineering Research
2020;25(11):1773-1778
- CountryChina
- Language:Chinese
-
Abstract:
BACKGROUND: Fat infiltration is a key factor in the failure of rotator cuff repair. However, the pathological mechanism of fatty infiltration after rotator cuff injury is unclear. OBJECTIVE: To explore the differences in the expression of key genes after rotator cuff injury, to determine their functions and mechanism pathways, and to provide a theoretical basis for the pathological mechanism of fatty infiltration after rotator cuff injury. METHODS: GSE93661 was obtained through GEO database to screen differentially expressed genes. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were used to analyze the underlying mechanism of fatty infiltration. The protein-protein interaction network was constructed to obtain the pivot genes and analyze the potential pathogenic targets. RESULTS AND CONCLUSION: A total of 471 differentially expressed genes were identified. GO and KEGG analysis showed that neuroactive ligand-receptor interactions and cell adhesion molecular pathways were potential mechanisms of fat infiltration in rotator cuff tears. Leukotriene B4 receptor, as a pivot gene in the protein-protein interaction network, may be a key target for fat infiltration in rotator cuff tears. We have discovered potential key genes and pathways in the pathological development of fatty infiltration, providing a reference direction for future treatment.
