Transcriptomic biomarkers for the accurate diagnosis of myocarditis.

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 would yield clinically relevant and accurate molecular signatures.Methods and Results: Microarray analy...

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Published in:Circulation Vol. 123; no. 11; pp. 1174 - 1185
Main Authors: Heidecker B, Kittleson MM, Kasper EK, Wittstein IS, Champion HC, Russell SD, Hruban RH, Rodriguez ER, Baughman KL, Hare JM, Heidecker, Bettina, Kittleson, Michelle M, Kasper, Edward K, Wittstein, Ilan S, Champion, Hunter C, Russell, Stuart D, Hruban, Ralph H, Rodriguez, E Rene, Baughman, Kenneth L, Hare, Joshua M
Format: research Journal Article
Published: Lippincott Williams & Wilkins 3/22/2011
Online Access:View this record in EBSCOhost
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      pub: Lippincott Williams & Wilkins
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        10.1161/CIRCULATIONAHA.110.002857
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        atl: Transcriptomic biomarkers for the accurate diagnosis of myocarditis.
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          Heidecker B
          Kittleson MM
          Kasper EK
          Wittstein IS
          Champion HC
          Russell SD
          Hruban RH
          Rodriguez ER
          Baughman KL
          Hare JM
          Heidecker, Bettina
          Kittleson, Michelle M
          Kasper, Edward K
          Wittstein, Ilan S
          Champion, Hunter C
          Russell, Stuart D
          Hruban, Ralph H
          Rodriguez, E Rene
          Baughman, Kenneth L
          Hare, Joshua M
        affil: Interdisciplinary Stem Cell Institute, University of Miami Miller School of Medicine, Biomedical Research Bldg, Room 824, PO Box 016960 (R-125), Miami, FL 33101, USA
      sug:
        subj:
          Gene Expression Profiling
          Myocardial Diseases Diagnosis
          Adult
          Algorithms
          Biological Markers
          Diagnosis, Differential
          Female
          Human
          Male
          Middle Age
          Myocardial Diseases
          Phenotype
          Reverse Transcriptase Polymerase Chain Reaction
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Female
          Male
      ab: 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 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 (n=32) to develop accurate diagnostic transcriptome-based biomarkers using multiple classification algorithms. We identified 9878 differentially expressed genes in lymphocytic myocarditis versus idiopathic dilated cardiomyopathy (fold change >1.2; false discovery rate <5%) from which a transcriptome-based biomarker containing 62 genes was identified that distinguished myocarditis with 100% sensitivity (95% confidence interval, 46 to 100) and 100% specificity (95% confidence interval, 66 to 100) and 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 real-time reverse-transcription polymerase chain reaction 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 endomyocardial biopsy 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.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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