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Evaluation of Myocardial Gene Expression Profiling for Superior Diagnosis of Idiopathic Giant-Cell Myocarditis and Clinical Feasibility in a Large Cohort of Patients with Acute Cardiac Decompensation

Authors :
Frank Enseleit
Norbert Frey
Heiko Pietsch
Carsten Skurk
Rüdiger C. Braun-Dullaeus
Kurt Huber
Heinz-Peter Schultheiss
Herbert Nägele
Jürgen Krülls-Münch
Hendrik Haake
Frank Ruschitzka
Jörg Strotmann
Felicitas Escher
Ralf Westenfeld
Ganna Aleshcheva
Ulrich Gross
Lars Morawietz
Christian Stumpf
Martin Bergmann
Burkert Pieske
Dirk Westermann
Karl-Ludwig Laugwitz
Johannes Brachmann
Friedrich Fruhwald
Johann Bauersachs
Gerian Grönefeld
Ulf Landmesser
Philip Wenzel
Source :
Journal of Clinical Medicine, Journal of Clinical Medicine, Vol 9, Iss 2689, p 2689 (2020), Volume 9, Issue 9
Publication Year :
2020

Abstract

Aims: The diagnostic approach to idiopathic giant-cell myocarditis (IGCM) is based on identifying various patterns of inflammatory cell infiltration and multinucleated giant cells (GCs) in histologic sections taken from endomyocardial biopsies (EMBs). The sampling error for detecting focally located GCs by histopathology is high, however. The aim of this study was to demonstrate the feasibility of gene profiling as a new diagnostic method in clinical practice, namely in a large cohort of patients suffering from acute cardiac decompensation. Methods and Results: In this retrospective multicenter study, EMBs taken from n = 427 patients with clinically acute cardiac decompensation and suspected acute myocarditis were screened (mean age: 47.03 &plusmn<br />15.69 years). In each patient, the EMBs were analyzed on the basis of histology, immunohistology, molecular virology, and gene-expression profiling. Out of the total of n = 427 patient samples examined, GCs could be detected in 26 cases (6.1%) by histology. An established myocardial gene profile consisting of 27 genes was revealed<br />this was narrowed down to a specified profile of five genes (CPT1, CCL20, CCR5, CCR6, TLR8) which serve to identify histologically proven IGCM with high specificity in 25 of the 26 patients (96.2%). Once this newly established profiling approach was applied to the remaining patient samples, an additional n = 31 patients (7.3%) could be identified as having IGCM without any histologic proof of myocardial GCs. In a subgroup analysis, patients diagnosed with IGCM using this gene profiling respond in a similar fashion to immunosuppressive therapy as patients diagnosed with IGCM by conventional histology alone. Conclusions: Myocardial gene-expression profiling is a promising new method in clinical practice, one which can predict IGCM even in the absence of any direct histologic proof of GCs in EMB sections. Gene profiling is of great clinical relevance in terms of a) overcoming the sampling error associated with purely histologic examinations and b) monitoring the effectiveness of therapy.

Details

ISSN :
20770383
Volume :
9
Issue :
9
Database :
OpenAIRE
Journal :
Journal of clinical medicine
Accession number :
edsair.doi.dedup.....dcd7a77a23060e0ccd8bab6795bc7abb