The Identified Hub Gene GlcN in Osteoarthritis Progression and Treatment

Author:

Liu Jingsheng1,Dong Xiaoli2,Liu Yining3,Wang Kai1,Lei Shuanhu1,Yang Mingxuan1,Yue Haiyuan1,Feng Haijun1,Feng Kai1,Li Kang1,Zhou Jianwei1,Chen Yanqiang1,Du Wenjia1,Kang Xuewen1ORCID,Xia Yayi1ORCID

Affiliation:

1. The Fourth Ward of Orthopedics Department of the Second Hospital of Lanzhou University, No. 80 Cuiyingmen, Lanzhou City, Gansu Province 730000, China

2. Department of Physiology, Gansu University of Traditional Chinese Medicine, Chengguan District, Lanzhou City, Gansu Province 730030, China

3. T.C Jasper School, Plano Independent School District, 6800 Archgate Dr. Plano, TX 75024, USA

Abstract

Background. As a chronic disease, osteoarthritis has caused great trouble to the health of middle-aged and elderly people. Studies have shown that glucosamine (GlcN) can be used to abate the progression and improve this disease. Based on this point of view, we try to verify the connection between GlcN and osteoarthritis and find more effective biomarkers. Methods. We downloaded the GSE72575 data set from the GEO database, and used the R language to perform DEG analysis on the gene expression profile of the samples. Next, the GO function and the KEGG signaling pathways were analyzed through the DAVID database, and then, the KEGG pathways enriched in the gene set were analyzed based on GSEA. Then, the PPI network of DEGs was constructed based on the STRING online database, and finally, the hub genes were selected by Cytoscape. Results. Three GlcN-treated MH7A cell treatment groups and 3 control groups in the GSE72575 data set were studied. Through analysis, there were 52 DEGs in these samples. Then, through GO, KEGG, and GSEA, regulation of endoplasmic reticulum stress-induced intrinsic apoptotic signaling pathway, FoxO signaling pathway, JAK-STAT signaling pathway, PI3K-Akt signaling pathway, TGF-beta signaling pathway, and ECM receptor interaction were involved in the regulatory mechanisms of the osteoarthritis pathogenesis. After that, the hub genes IL6 and DDIT3 were identified through PPI network construction and analysis. And it was found that IL6 was lowly expressed in the group with GlcN-treated MH7A cells, while DDIT3 was highly expressed. Conclusion. The above results provide a basis for GlcN to participate in the treatment of osteoarthritis and a possibility for finding effective therapeutic targets.

Publisher

Hindawi Limited

Subject

Applied Mathematics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,General Medicine

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