ArticleExperimental and clinical cardiology2003
From gene expression profiles to biological validation in enteroviral heart disease.
Article in Experimental and clinical cardiology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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6 authors at 1 institution in 1 country.
Funding
Abstract
In humans, coxsackievirus B3 is the primary etiological agent of viral myocarditis, an inflammatory disease process involving the heart muscle. Specific therapy is currently unavailable. Viral myocarditis is a complex, multiphasic infectious-inflammatory-reparative process. To address the temporal dimensionality of myocarditis, array- and nonarray-based molecular techniques, and histological and functional assays were used to help define enteroviral pathogenesis and its relation to heart failure. The application of high throughput genomic strategies and bioinformatics tools - coupled with established molecular techniques - have allowed us to perform a large-scale analysis of gene expression to better understand the host response to viral infection. Differential messenger RNA display, spotted complementary DNA arrays and Affymetrix Gene Chips (Affymetrix, United States) were used to study murine hearts during acute viremic, inflammatory and reparative stages. The observed global decreases in expression of metabolic and mitochondrial genes were focused on. The authors have previously characterized the role of mitochondria-triggered apoptosis, and pro- and anti-apoptotic Bcl-2 family proteins in enteroviral infections. The impact of altered mitochondrial transcripts on such host cell death and on metabolic injury to the heart is currently under study. In the authors' experience, the experimental progression from high throughput, unbiased analysis to biological validation has been only partially systematic. Insights are offered into the logic behind the selection of genes of potential interest for further investigation in the myocarditis model. A series of criteria for validatory decision-making, which the authors have developed based on their experiences, is described. Such criteria reflect known or putative gene function and expression patterns, as well as pragmatic considerations in the determination of steps toward investigation. This approach may help other investigators who need to dissect large genomic data sets to find targets for biological confirmation. Together, the authors' genomic studies have generated new, testable hypotheses regarding the interaction between host and enterovirus.
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Identifiers
19641703PMC2716272W205203247What OpenQuestion holds
Registered trials
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