Literature DB >> 22918566

Molecular signatures and the study of gene expression profiles in inflammatory heart diseases.

V Ruppert1, B Maisch.   

Abstract

Myocarditis, a common heart disease pathologically defined as an inflammatory reaction of the myocardium, is most frequently caused by infectious agents, including viruses and bacteria, and may develop in later stages into dilated cardiomyopathy (DCM). Several studies have identified inflammatory components engaged in the transition from acute myocarditis to chronic DCM, and there is growing evidence that myocarditis and DCM are closely related. Novel technological advances in genomic screening have gained insight into molecular and cellular mechanisms involved the pathogenesis of inflammatory heart disease and, in particular, in the development of systolic dysfunction resulting from DCM. Detection of differential gene expression profiles have become valid tools in the study of inflammatory heart disease. Molecular signatures are defined as individual sets of genes, mRNA transcripts, proteins, genetic variations or other variables, which can be used as markers for a particular phenotype. These signatures may be useful for clinical diagnosis or risk assessment and, in addition, may help to identify molecules not previously known to be involved in the pathogenesis of these disease conditions. Microarray analyses have dramatically refined our knowledge about tissue-specific gene expression patterns, simply by being able to study thousands of genes simultaneously in a single experiment. In the field of cardiovascular research, microarrays are increasingly used in the study of end-stage cardiomyopathies, such as DCM, that ultimately lead to symptoms of heart failure. By means of microarray analysis, a set of differentially expressed genes can be detected, among them are transcripts coding for sarcomeric and extracellular matrix proteins, stress response and inflammatory proteins as well as transcription factors and translational regulators. Expression profiling may be particularly helpful to improve the differential diagnosis of heart failure and enable novel insight into selected molecular pathways.

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Year:  2012        PMID: 22918566     DOI: 10.1007/s00059-012-3662-5

Source DB:  PubMed          Journal:  Herz        ISSN: 0340-9937            Impact factor:   1.443


  43 in total

1.  Endomyocardial biopsy: a procedure in search of an indication.

Authors:  Roger M Mills; Michael S Lauer
Journal:  Am Heart J       Date:  2004-05       Impact factor: 4.749

2.  Variations in the susceptibility to Coxsackievirus B3-induced myocarditis among different strains of mice.

Authors:  L J Wolfgram; K W Beisel; A Herskowitz; N R Rose
Journal:  J Immunol       Date:  1986-03-01       Impact factor: 5.422

3.  Transcriptomic biomarkers for the accurate diagnosis of myocarditis.

Authors:  Bettina Heidecker; Michelle M Kittleson; Edward K Kasper; Ilan S Wittstein; Hunter C Champion; Stuart D Russell; Ralph H Hruban; E Rene Rodriguez; Kenneth L Baughman; Joshua M Hare
Journal:  Circulation       Date:  2011-03-07       Impact factor: 29.690

4.  Gene expression in giant cell myocarditis: Altered expression of immune response genes.

Authors:  Michelle M Kittleson; Khalid M Minhas; Rafael A Irizarry; Shui Q Ye; Gina Edness; Elayne Breton; John V Conte; Gordon Tomaselli; Joe G N Garcia; Joshua M Hare
Journal:  Int J Cardiol       Date:  2005-07-10       Impact factor: 4.164

5.  Gene expression profiling from endomyocardial biopsy tissue allows distinction between subentities of dilated cardiomyopathy.

Authors:  Volker Ruppert; Thomas Meyer; Sabine Pankuweit; Eva Möller; Reinhard C Funck; Wolfram Grimm; Bernhard Maisch
Journal:  J Thorac Cardiovasc Surg       Date:  2008-05-12       Impact factor: 5.209

6.  Global gene expression profiling of end-stage dilated cardiomyopathy using a human cardiovascular-based cDNA microarray.

Authors:  J David Barrans; Paul D Allen; Dimitrios Stamatiou; Victor J Dzau; Choong-Chin Liew
Journal:  Am J Pathol       Date:  2002-06       Impact factor: 4.307

7.  Prevalence of the parvovirus B19 genome in endomyocardial biopsy specimens.

Authors:  Sabine Pankuweit; R Moll; U Baandrup; Irene Portig; Günter Hufnagel; Bernhard Maisch
Journal:  Hum Pathol       Date:  2003-05       Impact factor: 3.466

8.  Activation of STAT1 transcription factor precedes up-regulation of coxsackievirus-adenovirus receptor during viral myocarditis.

Authors:  Volker Ruppert; Thomas Meyer; Sabine Pankuweit; Thuridur Jonsdottir; Bernhard Maisch
Journal:  Cardiovasc Pathol       Date:  2007-09-14       Impact factor: 2.185

9.  Expression profiling of human idiopathic dilated cardiomyopathy.

Authors:  Rafal Grzeskowiak; Henning Witt; Mario Drungowski; Rolf Thermann; Steffen Hennig; Andreas Perrot; Karl J Osterziel; Dirk Klingbiel; Stefanie Scheid; Rainer Spang; Hans Lehrach; Patricia Ruiz
Journal:  Cardiovasc Res       Date:  2003-08-01       Impact factor: 10.787

10.  [The heart in viral infections].

Authors:  S Pankuweit; B Maisch
Journal:  Internist (Berl)       Date:  2010-07       Impact factor: 0.743

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  6 in total

1.  Nothing new in heart failure? A current misconception!

Authors:  B Maisch
Journal:  Herz       Date:  2012-12       Impact factor: 1.443

2.  Bioinformatics multivariate analysis determined a set of phase-specific biomarker candidates in a novel mouse model for viral myocarditis.

Authors:  Seiichi Omura; Eiichiro Kawai; Fumitaka Sato; Nicholas E Martinez; Ganta V Chaitanya; Phoebe A Rollyson; Urska Cvek; Marjan Trutschl; J Steven Alexander; Ikuo Tsunoda
Journal:  Circ Cardiovasc Genet       Date:  2014-07-16

Review 3.  [Inflammatory cardiomyopathy and myocarditis].

Authors:  B Maisch; A D Ristic; S Pankuweit
Journal:  Herz       Date:  2017-06       Impact factor: 1.740

Review 4.  The spectrum of myocarditis: from pathology to the clinics.

Authors:  Ornella Leone; Maurizio Pieroni; Claudio Rapezzi; Iacopo Olivotto
Journal:  Virchows Arch       Date:  2019-07-11       Impact factor: 4.535

Review 5.  Stem cell systems informatics for advanced clinical biodiagnostics: tracing molecular signatures from bench to bedside.

Authors:  Randolph S Faustino; D Kent Arrell; Clifford D L Folmes; Andre Terzic; Carmen Perez-Terzic
Journal:  Croat Med J       Date:  2013-08       Impact factor: 1.351

6.  Muscle Gene Sets: a versatile methodological aid to functional genomics in the neuromuscular field.

Authors:  Apostolos Malatras; Stephanie Duguez; William Duddy
Journal:  Skelet Muscle       Date:  2019-05-03       Impact factor: 4.912

  6 in total

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