Objective To explore the predictive value and potential regulatory mechanisms of hsa_circ_0134625 in coronary artery disease.Methods Differentially expressed circular RNA(circRNA)in the plasma of coronary artery disease patients were screened based on high-throughput sequencing results.A retrospective selection of 161 patients who underwent coronary angiography at the First Affiliated Hospital of Ningbo University from July 2022 to December 2023 was conducted(including 81 cases in the coronary artery disease group and 80 in the control group).Blood samples were collected,and the expression levels of hsa_circ_0134625 were compared between the two groups.Logistic regression was conducted to analyze the relationship between coronary artery disease and clinical characteristics.The prediction models for coronary artery disease were constructed using logistic regression,extreme gradient boosting(XGBoost),and Gaussian Naive Bayes methods.The model performance was evaluated by ROC curves,and post-hoc analysis on the optimal model was performed using Shapley additive explanation(SHAP).Based on bioinformatics methods and public gene expression databases,a circRNA-miRNA-mRNA regulatory network was constructed,and functional enrichment analysis was performed to infer the potential regulatory mechanisms of hsa_circ_0134625 in the pathogenesis of coronary artery disease.Results The expression level of hsa_circ_0134625 was significantly higher in the coronary artery disease group compared to the control group[1.44(1.02,1.76)vs.1.02(0.66,1.60),P=0.010].hsa_circ_0134625 is an independent predictor for coronary artery disease(OR=1.720,95％CI:1.145-2.584,P=0.009).The AUC for predicting coronary artery disease based on hsa_circ_0134625 was 0.629(0.540-0.718);in the predictive models combining hsa_circ_0134625 with clinical data,the model using the XGBoost algorithm showed the best overall performance,with a classification accuracy and AUC of 0.730 and 0.818,respectively.SHAP analysis indicated that hsa_circ_0134625 had a significant impact on coronary artery disease prediction within XGBoost model.Bioinformatics analysis showed that hsa_circ_0134625 was associated with the expressions of hsa-miR-515-5p,hsa-miR-646,and hsa-miR-639;pathway enrichment analysis revealed that the main focus was on the phosphatidylinositol-3-kinase/protein kinase B,forkhead box O,and vascular endothelial growth factor signaling pathways.Conclusion hsa_circ_0134625 is highly expressed in the plasma of coronary artery disease and shows potentials as a biomarker for predicting coronary artery disease;the regulatory network reveals the potential regulatory mechanisms of hsa_circ_0134625 in the occurrence and progression of coronary artery disease.
维普
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