Key result
Cuproptosis-related gene signature shows >0.75 AUC for diagnosing AF.
Why the study?
Accurate diagnosis of AF remains challenging with conventional techniques, and cuproptosis may contribute to AF pathogenesis.
Can a cuproptosis-related diagnostic gene signature accurately diagnose atrial fibrillation?
Can a cuproptosis-related diagnostic gene signature accurately diagnose atrial fibrillation?
Effect estimate: AUC >0.75
A novel cuproptosis-related diagnostic gene signature (SLC31A1 and LIAS) showed good diagnostic performance for atrial fibrillation and highlighted potential links between cuproptosis and immune infiltration.
Requires prospective validation before clinical use; leaves open cuproptosis as an AF biomarker target.
Background Atrial fibrillation (AF) is the most common type of cardiac arrhythmia. Nonetheless, the accurate diagnosis of this condition continues to pose a challenge when relying on conventional diagnostic techniques. Cell death is a key factor in the pathogenesis of AF. Existing investigations suggest that cuproptosis may also contribute to AF. This investigation aimed to identify a novel diagnostic gene signature associated with cuproptosis for AF using ensemble learning methods and discover the connection between AF and cuproptosis. Results Two genes connected to cuproptosis, including solute carrier family 31 member 1 (SLC31A1) and lipoic acid synthetase (LIAS), were selected by integration of random forests and eXtreme Gradient Boosting algorithms. Subsequently, a diagnostic model was constructed that includes the two genes for AF using the Light Gradient Boosting Machine (LightGBM) algorithm with good performance (the area under the curve value > 0.75). The microRNA-transcription factor-messenger RNA network revealed that homeobox A9 (HOXA9) and Tet methylcytosine dioxygenase 1 (TET1) could target SLC31A1 and LIAS in AF. Functional enrichment analysis indicated that cuproptosis might be connected to immunocyte activities. Immunocyte infiltration analysis using the CIBERSORT algorithm suggested a greater level of neutrophils in the AF group. According to the outcomes of Spearman’s rank correlation analysis, there was a negative relation between SLC31A1 and resting dendritic cells and eosinophils. The study found a positive relationship between LIAS and eosinophils along with resting memory CD4 + T cells. Conversely, a negative correlation was detected between LIAS and CD8 + T cells and regulatory T cells. Conclusions This study successfully constructed a cuproptosis-related diagnostic model for AF based on the LightGBM algorithm and validated its diagnostic efficacy. Cuproptosis may be regulated by HOXA9 and TET1 in AF. Cuproptosis might interact with infiltrating immunocytes in AF.
No takes yet. Share an insight, caveat, or question.
Wang et al. (2023) studied Atrial fibrillation (n=138). Cuproptosis-related diagnostic gene signature (SLC31A1 and LIAS) vs. Sinus rhythm (SR) controls was evaluated on Diagnostic efficacy (ROC-AUC and PR-AUC) (AUC >0.75). A cuproptosis-related diagnostic gene signature comprising SLC31A1 and LIAS demonstrated good diagnostic efficacy for atrial fibrillation with ROC-AUC and PR-AUC values exceeding 0.75.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: