A nomogram constructed from five immune-associated candidate hub genes (BEX2, SPRY2, CXCL16, ITGAL, and MORF4L2) demonstrated high diagnostic value for aortic valve calcification with metabolic syndrome with an AUC of 0.982.
Observational (n=87)
Integrated bioinformatics and machine learning identified five immune-associated hub genes with high diagnostic value for aortic valve calcification in patients with metabolic syndrome.
Effect estimate: AUC 0.982 (95% CI 0.953-1.000)
Background: Immune system dysregulation plays a critical role in aortic valve calcification (AVC) and metabolic syndrome (MS) pathogenesis. The study aimed to identify pivotal diagnostic candidate genes for AVC patients with MS. Methods: Limma and weighted gene co-expression network analysis (WGCNA), functional enrichment analysis, protein-protein interaction (PPI) network construction, and machine learning algorithms (least absolute shrinkage and selection operator (LASSO) regression and random forest) were used to identify candidate immune-associated hub genes for diagnosing AVC with MS. To assess the diagnostic value, the nomogram and receiver operating characteristic (ROC) curve were developed. Finally, immune cell infiltration was created to investigate immune cell dysregulation in AVC. Results: The merged AVC dataset included 587 DEGs, and 1,438 module genes were screened out in MS. MS DEGs were primarily enriched in immune regulation. The intersection of DEGs for AVC and module genes for MS was 50, which were mainly enriched in the immune system as well. Following the development of the PPI network, 26 node genes were filtered, and five candidate hub genes were chosen for nomogram building and diagnostic value evaluation after machine learning. The nomogram and all five candidate hub genes had high diagnostic values (area under the curve from 0.732 to 0.982). Various dysregulated immune cells were observed as well. Conclusion: ) were identified, and the nomogram was constructed for AVC with MS diagnosis. Our study could provide potential peripheral blood diagnostic candidate genes for AVC in MS patients.
Zhou et al. (Mon,) conducted a observational in Aortic Valve Calcification with Metabolic Syndrome (n=87). Nomogram based on five candidate hub genes (BEX2, SPRY2, CXCL16, ITGAL, MORF4L2) vs. Control was evaluated on Diagnostic value (Area Under the Curve) of the nomogram (AUC 0.982, 95% CI 0.953-1.000). A nomogram constructed from five immune-associated candidate hub genes (BEX2, SPRY2, CXCL16, ITGAL, and MORF4L2) demonstrated high diagnostic value for aortic valve calcification with metabolic syndrome with an AUC of 0.982.