ArticleACS omega2026
Development of a Shapley Additive Explanations (SHAP)-Interpretable Model for Cardiovascular Risk Stratification in Type 2 Diabetes Mellitus: Implications of MDA-Modified Protein Adducts and Autoantibodies.
Article in ACS omega, 2026. 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
Coronary artery disease (CAD) is the leading cause of mortality in type 2 diabetes mellitus (T2DM). This study explores the two-hit oxidative-immune hypothesis by evaluating malondialdehyde (MDA)-modified protein (MDA-protein) adducts and their corresponding autoantibodies for precise and fair CAD severity stratification and classification. Novel MDA-peptide epitopes (apolipoprotein B-100 (ApoB-100), fibronectin (FINC), and complement C4A/C4B (C4A/C4B)) were identified via proteomics, and plasma levels of MDA, adducts, and autoantibodies were measured in 165 Taiwanese T2DM patients. Multivariate logistic regression estimated odds ratios (ORs) per 1-SD increase. Machine learning with Shapley additive explanations (SHAP)-interpretable analysis and nested cross validation distinguished obstructive from nonobstructive CAD. Fairness was assessed across age and sex subgroups. MDA (OR 3.148) and MDA-protein adducts (OR 2.090) were independent markers associated with advanced CAD severity, while IgG anti-ApoB-100
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