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Clinical study of the effect of P53 on the degree of osteoarthritis space stenosis based on magnetic resonance imaging
ZHANG Shuang  XIN Ruiqiang  SHI Yijie  LI Yancui  PENG Ruchen 

Cite this article as: Zhang S, Xin RQ, Shi YJ, et al. Clinical study of the effect of P53 on the degree of osteoarthritis space stenosis based on magnetic resonance imaging[J]. Chin J Magn Reson Imaging, 2022, 13(6): 122-126. DOI:10.12015/issn.1674-8034.2022.06.024.


[Abstract] Objective To identify and analyze the differentially expressed genes in osteoarthritis (OA) using bioinformatics techniques, and clinical data were used to study the effect of P53 on the degree of OA gap stenosis based on MRI.Materials and Methods Microarray data (GSE55235) were downloaded and GEO2R was used to identify differentially expressed genes (DEGs) between OA patients and normal synovial samples. The enrichment analysis for the differentially expressed genes was performed by using the gene ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG). Protein-protein interaction network (PPI) analysis was further constructed to identify important modules and identify core genes. Fifty patients with OA space stenosis were selected, and their bone and joint conditions were detected by MRI, and their clinical data were analyzed by Pearson Chi-square test, Spearman correlation analysis and multivariate Logistic regression.Results The difference of synovial tissue between control group and OA group was analyzed. Analysis of GSE55235 identified 91 differentially expressed genes. DEGs enrichment analysis comprehensively summarized some main pathophysiological mechanisms of OA: cell response to hydrogen peroxide, P53 signaling pathway. Four hub genes were identified: MMP1, CXCL8, VEGFA and JUN. Compared with the normal group, MMP1 was highly expressed in the OA group, while CXCL8, VEGFA and JUN were down-regulated in the OA group. Pearson Chi-square test, Spearman correlation analysis and multiple Logistic regression results showed that P53 was significantly correlated with the degree of OA space stenosis (OR=0.112, 95% CI: 0.025-0.495, P=0.004), while gender, age, MMP1, VEGFA and CXCL8 were not significantly correlated with the degree of OA space stenosis (P values were all greater than 0.05).Conclusions In conclusion, based on MRI results, it is concluded that cell reaction to hydrogen peroxide and P53 signaling pathway can provide new research targets for the diagnosis and treatment of OA. The low expression of P53 in OA patients may be a potential therapeutic target. MRI is also beneficial to early diagnosis and treatment of OA patients and reduce the incidence of OA.
[Keywords] magnetic resonance imaging;osteoarthritis;bioinformatics;differentially expressed genes;enrichment analysis;P53 signaling pathway

ZHANG Shuang   XIN Ruiqiang   SHI Yijie   LI Yancui   PENG Ruchen*  

Department of Radiology, Beijing Luhe Hospital, Capital Medical University, Beijing 101149, China

Peng RC, E-mail: pengruchen@ccmu.edu.cn

Conflicts of interest   None.

Received  2022-04-07
Accepted  2022-06-07
DOI: 10.12015/issn.1674-8034.2022.06.024
Cite this article as: Zhang S, Xin RQ, Shi YJ, et al. Clinical study of the effect of P53 on the degree of osteoarthritis space stenosis based on magnetic resonance imaging[J]. Chin J Magn Reson Imaging, 2022, 13(6): 122-126.DOI:10.12015/issn.1674-8034.2022.06.024

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