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1
The study identifies SMOC1, HSP90B1, and OPTN as potential serum biomarkers for coronary artery calcification (CAC) using DIA quantitative proteomics.
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2
A two-stage case-control design involved 320 patients, with 160 in the CAC group and 160 in the non-calcified control group.
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3
The logistic regression model incorporating biomarkers and clinical indicators achieved an AUC of 0.894, outperforming traditional models.
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4
Differentially expressed proteins were enriched in pathways related to protein folding, immune signaling, and apoptosis regulation.
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5
The nomogram model demonstrated good calibration and positive clinical net benefit, indicating its effectiveness in predicting CAC.
