MXRA5 and MYC as diagnostic markers and immune infiltrative features in obesity and osteoarthritis
10.3969/j.issn.1673-9701.2024.20.007
- VernacularTitle:MXRA5和MYC作为肥胖和骨关节炎的诊断标志物和免疫浸润特征
- Author:
Jingqi XI
1
;
Hongyu LI
;
Yuhang LIU
;
Wenhao CHENG
;
Lin MENG
Author Information
1. 广西中医药大学研究生院,广西南宁 530000
- Keywords:
Osteoarthritis;
Obesity;
Immune infiltration;
MXRA5;
MYC
- From:
China Modern Doctor
2024;62(20):28-34
- CountryChina
- Language:Chinese
-
Abstract:
Objective Bioinformatics and machine learning were used to identify associations between key genes in obesity and osteoarthritis(OA)and immune infiltrating cells.Methods Three datasets GSE55235,GSE44000 and GSE151839 were screened from the gene expression omnibus(GEO)database,and differentially expressed genes(DEGs)were obtained by R software,and their potential biological functions were explored through gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG)signaling pathway enrichment analysis.The minimum absolute contraction and selection operator(LASSO)regression algorithm combined with support vector machine(SVM)was used to screen characteristic genes,the diagnostic value of key genes was verified by receiver operating characteristic(ROC)curve,and the immune infiltration was assessed by CIBERSORT algorithm.The mRNA-miRNA regulatory network was constructed using NetworkAnalyst database to predict target miRNA and Cytoscape software,and the correlation between key genes and immune infiltration was analyzed.Results GO gene enrichment analysis obtained 99 DEGs.Cellular activation in the immune system and immune response is highly enriched.KEGG pathway analysis showed significant enrichment of interleukin(IL-17),nuclear factor-κB(NF-κB),B-cell receptor and chemokine signaling pathways.Two key diagnostic genes(MXRA5 and MYC)were identified based on machine learning.Immunoinfiltration analysis showed that MXRA5 was associated with resting and activated CD4 memory T cells,activated NK cells,resting and activated mast cells,and M0 macrophages.In addition,MYC is associated with resting and activated CD4 memory T cells,plasma cells,activated NK cells,resting and activated mast cells,M2 macrophages,and eosinophils.CD4+cells,NK cells and mast cells were significantly associated with these two pivot genes.Conclusion Two key immune-related genes were identified through bioinformatics analysis,which may provide new targets for the treatment of obesity-related OA.
