Enteroviral myocarditis displays highly diverse clinical phenotypes ranging from mild dyspnoea or chest pain to cardiogenic shock and death. Despite detailed studies of the virus life cycle in vitro and in vivo, the molecular interplay between host and virus in disease progression is largely unresolved. Murine models of Coxsackievirus B3 (CVB3)-induced myocarditis well mimic the human disease patterns and can thus be explored to study mechanisms leading from acute to chronic myocarditis. Here, we present a 2-D gel-based proteomic survey of the changes in the murine cardiac proteome that occurs following infection with CVB3. In total, 136 distinct proteins were affected. Proteins, which are involved in immunity and defense and protein metabolism/modification displayed pronounced changes in intensity not only during acute but also at later stages of CVB3 myocarditis. Proteins involved in maintenance of cell structure and associated proteins were particularly influenced in the acute phase of myocarditis, whereas reduction of levels of metabolic enzymes was observed in chronic myocarditis. Studies about changes in protein intensities were complemented by an analysis of protein phosphorylation that revealed infection-associated changes in the phosphorylation of myosin binding protein C, atrial and ventricular isoforms of myosin regulatory light chain 2, desmin, and Rab GDP dissociation inhibitor beta-2.
The most relevant clinical phenotype resulting from chronic enteroviral myocarditis is dilated cardiomyopathy (DCM). Mice of the susceptible mouse strain A.BY/SnJ mimick well human DCM since they develop as a consequence of persistent infection and chronic inflammation a dilation of the heart ventricle several weeks after coxsackievirus B3 (CVB3) infection. Therefore, this model is well suited for the analysis of changes in the heart proteome associated with DCM. Here, we present a proteomic survey of the dilated hearts based on differential fluorescence gel electrophoresis and liquid chromatography-mass spectrometric centered methods in comparison to age-matched non-infected hearts. In total, 101 distinct proteins, which belong to categories immunity and defense, cell structure and associated proteins, energy metabolism and protein metabolism/modification differed in their levels in both groups. Levels of proteins involved in fatty acid metabolism and electron transport chain were found to be significantly reduced in infected mice suggesting a decrease in energy production in CVB3-induced DCM. Furthermore, proteins associated with muscle contraction (MLRV, MLRc2, MYH6, MyBPC3), were present in significantly altered amounts in infected mice. A significant increase in the level of extracellular matrix proteins in the dilated hearts indicates cardiac remodeling due to fibrosis.
BackgroundA.BY/SnJ mice are used to study pathological alterations in the heart due to enteroviral infections. Since age is a well-known factor influencing the susceptibility of mice to infection, response to stress and manifestation of cardiovascular diseases, the myocardial proteome of A.BY/SnJ mice aged 1 and 4 months was comparatively studied using two dimensional-differential in-gel electrophoresis (2D-DIGE) and liquid chromatography tandem mass spectrometry (LC-MS/MS).ResultsComplementary analyses by 2D-DIGE and gel-free LC-MS/MS revealed 96 distinct proteins displaying age associated alterations in their levels. Proteins related to protein transport, and transport chain, lipid metabolism and fatty acid transport showed significant changes in 4 months old mouse hearts compared to juvenile hearts. Proteins involved in lipid metabolism and transport were identified at significantly higher levels in older mice and dysregulation of proteins of the respiratory transport chain were observed.ConclusionThe current proteomics study discloses age dependent changes occurring in the hearts already in young mice of the strain A.BY/SnJ. Besides alterations in protein transport, we provide evidence that a decrease of ATP synthase in murine hearts starts already in the first months of life, leading to well-known low expression levels manifested in old mice thereby raising the possibility of reduced energy supply. In the first few months of murine life this seems to be compensated by an increased lipid metabolism. The functional alterations described should be considered during experimental setups in disease related studies.
Reports in recent years indicate that the increasing emergence of resistance to drugs be using to TB treatment. The resistance to them severely affects to options for effective treatment. The emergence of multidrug-resistant tuberculosis has increased interest in understanding the mechanism of drug resistance in M. tuberculosis and the development of new therapeutics, diagnostics and vaccines. In this study, a label-free quantitative proteomics approach has been used to analyze proteome of multidrug-resistant and susceptible clinical isolates of M. tuberculosis and identify differences in protein abundance between the two groups. With this approach, we were able to identify a total of 1,583 proteins. The majority of identified proteins have predicted roles in lipid metabolism, intermediary metabolism, cell wall and cell processes. Comparative analysis revealed that 68 proteins identified by at least two peptides showed significant differences of at least twofolds in relative abundance between two groups. In all protein differences, the increase of some considering proteins such as NADH dehydrogenase, probable aldehyde dehydrogenase, cyclopropane mycolic acid synthase 3, probable arabinosyltransferase A, putative lipoprotein, uncharacterized oxidoreductase and six membrane proteins in resistant isolates might be involved in the drug resistance and to be potential diagnostic protein targets. The decrease in abundance of proteins related to secretion system and immunogenicity (ESAT-6-like proteins, ESX-1 secretion system associated proteins, O-antigen export system and MPT63) in the multidrug-resistant strains can be a defensive mechanism undertaken by the resistant cell.
This article was originally published in Proteomics 2010, 10, 1802–1818, DOI
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