Chinese Journal of Tissue Engineering Research ›› 2021, Vol. 25 ›› Issue (11): 1773-1778.doi: 10.3969/j.issn.2095-4344.3083

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Bioinformatics analysis of gene expression profile and key pathways related to fatty infiltration after rotator cuff injury

Liu Peidong1, 2, Feng Jiangfeng1, 2, Xu Wenjie1, Xu Xiaodong1, Yang Ziquan1, 2    

  1. 1Department of Sports Medicine, 2Shanxi Provincial Key Laboratory of Bone and Soft Tissue Damage Repair, Second Hospital of Shanxi Medical University, Taiyuan 030000, Shanxi Province, China 
  • Received:2020-04-11 Revised:2020-04-20 Accepted:2020-05-19 Online:2021-04-18 Published:2020-12-22
  • Contact: Yang Ziquan, MD, Master’s supervisor, Chief physician, Department of Sports Medicine, Second Hospital of Shanxi Medical University, Taiyuan 030000, Shanxi Province, China; Shanxi Provincial Key Laboratory of Bone and Soft Tissue Damage Repair, Second Hospital of Shanxi Medical University, Taiyuan 030000, Shanxi Province, China
  • About author:Liu Peidong, Master candidate, Physician, Department of Sports Medicine, Second Hospital of Shanxi Medical University, Taiyuan 030000, Shanxi Province, China; Shanxi Provincial Key Laboratory of Bone and Soft Tissue Damage Repair, Second Hospital of Shanxi Medical University, Taiyuan 030000, Shanxi Province, China

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.


Key words: rotator cuff tear">, fatty infiltration">, differential genes">, bioinformatics">, GEO database

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