Background
Lymphocytic myocarditis is a clinically important condition that is difficult to diagnose and distinguish. We hypothesized that the transcriptome obtained from an endomyocardial biopsy (EMB) would yield clinically relevant and accurate molecular signatures.
Methods and results
Microarray analysis was performed on samples from patients with histologically proven lymphocytic myocarditis (n=16) and idiopathic dilated cardiomyopathy (IDCM, n=32) to develop accurate diagnostic transcriptome-based biomarkers (TBB) using multiple classification algorithms. We identified 9,878 genes differentially expressed in lymphocytic myocarditis vs. IDCM (FC>1.2, FDR<5%), from which a TBB containing 62 genes was identified, which distinguished myocarditis with 100% sensitivity (95% CI: 46-100%) and 100% specificity (95% CI: 66-100%) and which was generalizable to a broad range of secondary cardiomyopathies associated with inflammation (n=27), ischemic cardiomyopathy (n=8) and the normal heart (n=11). Multiple classification algorithms and quantitative realtime RT-PCR analysis further reduced this subset to a highly robust molecular signature of 13 genes, which still performed with 100% accuracy.
Conclusions
Together these findings demonstrate that transcriptomic biomarkers from a single EMB can improve the clinical detection of patients with inflammatory diseases of the heart. This approach advances the clinical management and treatment of cardiac disorders with highly variable outcome.