ArticleCurrent genomics2025
Application of Machine Learning and Mendelian Randomization Analysis to Identify the Cuproptosis-Related Biomarker and Its Related Regulation in Osteonecrosis of the Femoral Head.
Article in Current genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Introduction: Osteonecrosis of the Femoral Head (ONFH) is one of the common refractory diseases. However, the role of cuproptosis in ONFH pathogenesis remains unexplored. This study aimed to investigate the potential relationship between cuproptosis and ONFH. Methods: ONFH-related datasets were obtained from the Gene Expression Omnibus (GEO) database, and cuproptosis-related genes in the GSE123568 dataset were identified through differential expression analysis. To further discover potential cuproptosis-related biomarkers, Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis and Support Vector Machine (SVM) analysis were conducted. The Receiver Operating Characteristic (ROC) curve analysis was used to explore the diagnostic value of cuproptosis-related biomarkers. The summary Statistics-based Mendelian Randomization (SMR) algorithm was used to investigate the causal relationship between the related genes and ONFH. The immune infiltration analysis was conducted to assess the effect of immune cells on ONFH. Subsequently, the GSE74089 and GSE89587 datasets were used to validate gene expression levels and predict the lncRNA-miRNA-mRNA network. Finally, quantitative Real-Time Polymerase Chain Reaction (qRT-PCR) was employed to validate the expression of these genes. Results: The study showed that the upregulation of Discussion: This study discovered a cuproptosis-related regulating pathway, MIR22HG/let-7c-5p/PDHB. This can provide new insights into the treatment of ONFH. However, further experimental validation is needed. Conclusion:
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