Frontiers

Identification and multi-layered validation of seven diagnostic biomarkers for dilated cardiomyopathy via integrative machine learning, single-cell transcriptomics, and Mendelian randomization (opens in new tab)

BackgroundDilated cardiomyopathy (DCM) is the most common non-ischemic cardiomyopathy and a major cause of heart failure, but disease-specific molecular biomarkers remain limited. This study aimed to identify and prioritize tissue-level, disease-responsive candidate biomarkers for DCM using an integrative multi-omics bioinformatics framework.MethodsBulk myocardial transcriptomic data from GSE57338 were used as the discovery cohort, and GSE26887, GSE42955, and GSE79962 served as external micro...

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