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Multiparametric diagnostics of cardiomyopathies by microRNA signatures

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Abstract

The diagnosis of cardiomyopathies by endomyocardial biopsy analysis is the gold standard for confirmation of causative reasons but is failing if a sample does not contain the area of interest due to focal pathology. Biopsies are revealing an extract of the current situation of the heart muscle only, and the need for global organ-specific or systemic markers is obvious in order to minimize sampling errors. Global markers like specific gene expression signatures in myocardial tissue may therefore reflect the focal situation or condition of the whole myocardium. Besides gene expression profiles, microRNAs (miRNAs) represent a new group of stable biomarkers that are detectable both in tissue and body fluids. Such miRNAs may serve as cardiological biomarkers to characterize inflammatory processes, to confirm viral infections, and to differentiate various forms of infection. The predictive power of single miRNAs for diagnosis of complex diseases may be further increased if several distinctly deregulated candidates are combined to form a specific miRNA signature. Diagnostic systems that generate disease-related miRNA profiles are based on microarrays, bead-based oligo sorbent assays, or on assays based on real-time polymerase chain reactions and placed on microfluidic cards or nanowell plates. Multiparametric diagnostic systems that can measure differentially expressed miRNAs may become the diagnostic tool of the future due to their predictive value with respect to clinical course, therapeutic decisions, and therapy monitoring. We discuss here specific merits, limitations and the potential of currently available analytical platforms for diagnostics of heart muscle diseases based on miRNA profiling. Contains 34 references.

Modern diagnostics of cardiomyopathies will include multiparametric analysis of microRNA profiles in endomyocardial biopsies by real-time PCR or bead-based OLISA techniques. In contrast to high-throughput screening technologies diagnostic systems are realized by down-scaling sample volumes and simultaneous measurement of a limited number of stable disease related parameters.

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Acknowledgments

This work was supported by grants of the German Research Foundation (DFG), Transregional Collaborative Research Centre “Inflammatory Cardiomyopathy - Molecular Pathogenesis and Therapy” (SFB TR19, Z1), and two grants of the Federal Ministry of Education and Research (BMBF, Germany) for KMU innovative program (No.616 0315296, 0316141A).

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Authors and Affiliations

  1. Institute of Cardiac Diagnostics and Therapy, Moltkestr. 31, 12203, Berlin, Germany

    Christine S. Siegismund, Maria Rohde & Dirk Lassner

  2. Department of Cardiology and Pneumonology, Charité University Hospital Berlin, Campus Benjamin Franklin, Berlin, Germany

    Uwe Kühl

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  1. Christine S. Siegismund
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  2. Maria Rohde
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Correspondence to Dirk Lassner.

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Siegismund, C.S., Rohde, M., Kühl, U. et al. Multiparametric diagnostics of cardiomyopathies by microRNA signatures. Microchim Acta 181, 1647–1653 (2014). https://doi.org/10.1007/s00604-014-1249-y

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  • DOI: https://doi.org/10.1007/s00604-014-1249-y

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