ArticleFrontiers in cardiovascular medicine2026
Bridging environmental endocrine-disrupting chemicals and AMI: identification of
Article in Frontiers in cardiovascular medicine, 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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6 authors.
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Abstract
Background: Increasing attention has been drawn to the close association between exposure to environmental endocrine-disrupting chemicals (EDCs) and the risk of acute myocardial infarction (AMI). This study aimed to utilize multi-omics approaches to identify EDCs-related diagnostic candidate and elucidate their potential roles in AMI. Methods: This study integrated toxicological targets of 13 representative EDCs with transcriptomic datasets from AMI cohorts. Machine learning algorithms (LASSO and SVM-RFE) were employed to screen feature genes, and model interpretability was achieved via SHAP analysis. Additionally, Summary-data-based Mendelian Randomization (SMR) and clinical validation in plasma samples were utilized to verify the candidate. Results: A total of 1,818 potential toxicological targets for EDCs were screened. The machine learning algorithms identified an 8-gene diagnostic signature, which demonstrated superior predictive performance in an external validation set (AUC=0.968). Through intersection analysis, Conclusion: This study established a multi-omics model linking EDCs exposure to AMI pathogenesis and identified
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