Application of proteomics in cardiovascular medicine

Hepatic proteomic assessment of oral ingestion of titanium dioxide nano fiber (TDNF) in Sprague Dawley rats

Titanium dioxide nanofibers (TDNF) have been widely employed in pigments, sunscreens, paints, ointments, toothpaste and photocatalytic splitting of water. However, their potential toxicity has not been thoroughly examined. The goal of the present study is to examine hepatic effects associated with the ingestion of TDNF. TDNF was fabricated via electrospinning method and characterized. Six to seven weeks old male Sprague Dawley rats ingested (oral gavage) a total of 0 ppm, 40, 60 ppm TDNF for two weeks. After sacrifice, the liver was assessed for cellular effects using proteomic approach. The fibers diameter ranged from 0.18 - 0.29 μm, forming clusters and majority of the fibers were in the rutile phase. Proteomics assessment revealed more that more than 400 hundred proteins in the liver may be affected. These proteins are involved in such processes as catalysis of fatty acids by CoA, homocysteine metabolism, beta oxidation and the condensation of carbamoyl phosphate in the urea cycle among others. Further analysis of the protein associations showed that 325 biological processes, 140 molecular functions and 70 cellular components appear to be affected from the ingestion of TNDF. Quantitative analysis of specific mRNA transcripts indicated CMBL, GSTM1 and SDS were differentially expressed.

The Defibrillation Conundrum: New Insights into the Mechanisms of Shock-Related Myocardial Injury Sustained from a Life-Saving Therapy

Implantable cardiac defibrillators (ICDs) are recommended to prevent the risk of sudden cardiac death. However, shocks are associated with an increased mortality with a dose response effect, and a strategy of reducing electrical therapy burden improves the prognosis of implanted patients. We review the mechanisms of defibrillation and its consequences, including cell damage, metabolic remodeling, calcium metabolism anomalies, and inflammatory and pro-fibrotic remodeling. Electrical shocks do save lives, but also promote myocardial stunning, heart failure, and pro-arrhythmic effects as seen in electrical storms. Limiting unnecessary implantations and therapies and proposing new methods of defibrillation in the future are recommended.

Atrial remodeling and metabolic dysfunction in idiopathic isolated fibrotic atrial cardiomyopathy

BACKGROUND

Idiopathic isolated fibrotic atrial cardiomyopathy (IIF-ACM) is a novel subtype of cardiomyopathy characterized by atrial fibrosis that does not involve the ventricular myocardium and is associated with significant atrial tachyarrhythmia. The mechanisms underlying its pathogenesis are unknown.

METHODS

Atrium samples were obtained from 3 patients with IIF-ACM via surgical intervention. Control samples were consisted of 3 atrium biopsies from patients with congenital heart disease and normal sinus rhythm, matched for gender, age and basic clinical characteristics. Comparative histology, immunofluorescence staining, electron microscopy and proteomics analyses were carried out to explore the unique pathogenesis of IIF-ACM.

RESULTS

IIF-ACM atria displayed disordered myofibrils, profound fibrosis and mitochondrial damages compared to the control atria. Proteomics profiling identified metabolic pathways as the most profound changes in IIF-ACM.

CONCLUSIONS

Our study suggested that metabolic changes in the atrial myocardium caused mitochondrial oxidative stress and potential cell damage, which further led to atrial fibrosis and myofibril disorganization, the characteristic phenotype of IIF-ACM.

Differences in atrial fibrillation‑associated proteins between the left and right atrial appendages from patients with rheumatic mitral valve disease: A comparative proteomic analysis

The majority of proteomic studies have focused on identifying atrial fibrillation (AF)-associated proteins in the right atrium (RA), thus potential differences in AF-associated proteins between the RA and left atrium (LA) remain unknown. The aim of the present study was to perform proteomic analysis to compare the potential differences in AF-associated proteins between the right atrial appendage (RAA) and left atrial appendage (LAA) in patients with rheumatic mitral valve disease (RMVD). RAA and LAA tissues were obtained from 18 patients with RMVD (10 with AF) during mitral valve replacement surgery. Two-dimensional fluorescence difference gel electrophoresis (2-D DIGE) proteomics analysis was performed using these tissues to identify AF-associated proteins in RAA and LAA. Subsequently, the proteomics data was validated using western blot analysis of nine selected proteins. In RAA, 32 AF-associated proteins were significantly dysregulated (15 upregulated and 17 downregulated). In LAA, 31 AF-associated proteins were significantly dysregulated (13 upregulated and 18 downregulated). Among these AF-associated proteins, 17 were AF-associated in both RAA and LAA, 15 were AF-associated only in RAA, and 14 were AF-associated only in LAA. Amongst the differentially expressed proteins, western blot analysis validated the results for 6 AF-associated proteins, and demonstrated similar distributions in RAA and LAA compared with the 2-D DIGE results. Of these proteins, 2 proteins were AF-associated in both RAA and LAA, 2 were AF-associated only in RAA, and 2 were AF-associated only in LAA. Additionally, the different distributions of AF-associated proteins in the RAA and LAA of patients with RMVD was analyzed, which may reflect the different regulatory mechanisms of the RA and LA in AF. These findings may provide new insights into the underlying molecular mechanisms of AF in patients with RMVD.

Protein analysis of atrial fibrosis via label-free proteomics in chronic atrial fibrillation patients with mitral valve disease

Background

Atrial fibrosis, as a hallmark of atrial structure remodeling, plays an important role in maintenance of chronic atrial fibrillation, but interrelationship of atrial fibrosis and atrial fibrillation is uncertain. Label-free proteomics can implement high throughput screening for finding and analyzing pivotal proteins related to the disease.. Therefore, we used label-free proteomics to explore and analyze differentially proteins in chronic atrial fibrillation patients with mitral valve disease.

Methods

Left and right atrial appendages obtained from patients with mitral valve disease were both in chronic atrial fibrillation (CAF, AF≥6 months, n = 6) and in sinus rhythm (SR, n = 6). One part of the sample was used for histological analysis and fibrosis quantification; other part were analyzed by label-free proteomic combining liquid chromatography with mass spectrometry (LC-MS), we utilized bioinformatics analysis to identify differential proteins.

Results

Degree of atrial fibrosis was higher in CAF patients than that of SR patients. 223 differential proteins were detected between two groups. These proteins mainly had vital functions such as cell proliferation, stress response, focal adhesion apoptosis. We evaluated that serine/threonine protein kinase N2 (PKN2), dermatopontin(DP), S100 calcium binding protein B(S100B), protein tyrosine kinase 2(PTK2) and discoidin domain receptor tyrosine kinase 2(DDR2) played important roles in fibrotic process related to atrial fibrillation.

Conclusion

The study presented differential proteins responsible for atrial fibrosis in chronic atrial fibrillation patients through label-free proteomic analysis. We assessed some vital proteins including their characters and roles. These findings may open up new realm for mechanism research of atrial fibrillation.

Proteomic profiling during atherosclerosis progression using SELDI-TOF-MS: effect of darbepoetin treatment

Narrowing of the arteries due to atherosclerosis may lead to congestive heart failure (CHF). It is advantageous to perform atherosclerosis studies in apolipoprotein E-deficient (Apo E(-/-)) mice models, which develop atherosclerosis very rapidly in comparison to humans. Darbepoetin is a synthetic erythropoietin analogue and stimulates erythropoiesis. The aim of this study was to explore the effect of 16 weeks of darbepoetin treatment on serum protein profiles in Apo E(-/-) mice during atherosclerosis progression. Serum proteomic analyses were performed using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) in the darbepoetin-treated and non-treated (control) Apo E(-/-) mice groups. The protein profiles obtained using three different chips, CM-10 (weak cation exchange), H50 (reversed-phase) and IMAC-30 (immobilized metal affinity capture), were statistically analyzed using the ProteinChip data manager 3.0 program. At the end of 16 weeks of darbepoetin treatment, there was no significant difference in the size and degree of atherosclerotic lesions between the darbepoetin and control mice groups. In contrast, 145 protein/peptide-clustering peaks, >5 kDa, had statistically significant differences in their peak intensities between the darbepoetin and control mice groups (p<0.05). That the proteomic profiles of darbepoetin-treated Apo E(-/-) mice were found to differ from those of the control group indicates a potential beneficial role of darbepoetin in atherosclerosis. Our study contributes to understanding the effects of darbepoetin on protein/peptide expressions during atherosclerosis development.

Proteomic profiling in apolipoprotein E-deficient mice during atherosclerosis progression

Atherosclerosis and related complications are a major worldwide cause of human morbidity and mortality. It is advantageous to perform atherosclerosis studies in the apolipoprotein E-deficient (Apo E(-/-)) mouse model, which develops atherosclerosis very fast in comparison to humans. The aim of this study was to compare serum protein profiles in Apo E(-/-) mice during atherosclerosis progression with the data of control C57BL/6 mice. Serum proteomic analyses were performed using surface-enhanced laser desorption/ionization-time of flight mass spectrometry (SELDI-TOF-MS). The protein profiles obtained using three different chips, CM-10 (weak cation exchange), H50 (reversed-phase) and IMAC-30 (immobilized metal affinity capture) were statistically analyzed using the ProteinChip data manager 3.0 program. At 20 weeks of age, all Apo E(-/-) mice developed early atherosclerotic lesions. The peak intensities of 742 serum protein/peptide clusters were found to be different between the atherosclerotic and control mice groups, and the differences reached statistical significance for 107 serum protein/peptide clusters (p<0.05). This study contributes to understanding the changes in serum protein/peptide profiles during atherosclerosis development and may inform discovery of new protein biomarkers for early diagnosis of atherosclerosis.

Proteomic profiling of medial degeneration in human ascending aorta

OBJECTIVE

The objective of this study was the construction of a reference map for aortic medial degeneration by a proteomic approach.

DESIGN AND METHODS

A proteomic profiling of the media of human ascending aorta was performed by two-dimensional electrophoresis and MALDI-TOF mass spectrometry.

RESULTS

A reliable protocol for two-dimensional electrophoresis analysis of human aortic media proteins was developed allowing the selection and identification of 52 spots. Protein identifications revealed that the predominant vascular smooth muscle cell proteins isolated from grade 1 aortic medial degeneration (MD) included proteins involved in muscle contraction, protein folding, cytoskeletal structure and metabolic processes, and those with antioxidant or transport functions. The most populated functional classes were those related to muscle contraction and cytoskeletal proteins, including actin, calmodulin, calponin, myosin light chain, tropomyosin, vimentin, profilin and transgelin.

CONCLUSIONS

The obtained aortic MD proteomic profile provides a relevant background for future studies aimed to find further specific molecular changes potentially related to the aortic MD process.

Differential protein expression profiling of myocardial tissue in a mouse model of hypertrophic cardiomyopathy

Hypertrophic cardiomyopathy (HCM) is a genetic disorder caused by mutations in genes encoding sarcomere proteins. The mechanisms involved in the development of cardiac hypertrophy and heart failure remain poorly understood. Global proteomic profiling was used to study the cardiac proteome of mice predisposed to developing HCM. Hearts from three groups of mice (n=3 hearts per group) were studied: non-transgenic (NTG) and cardiac-specific transgenic models over-expressing either the normal (TnI(WT)) or a mutant cardiac troponin I gene (Gly203Ser; TnI(G203S)). Two-dimensional gel electrophoresis (2-DE) coupled with tandem mass spectrometry was used to identify proteins. Image analysis was performed using Progenesis SameSpots. A total of 34 proteins with at least a twofold change in the TnI(G203S) mouse model were identified. Alterations were detected in components involved in energy production, Ca(2+) handling, and cardiomyocyte structure. Expression level changes in cytoskeletal and contractile proteins were well represented in the study, including the intermediate filament protein desmin, which was further investigated in two additional physiological and pathological settings, i.e., exercise treatment, and severe heart failure in a novel double-mutant TnI-203/MHC-403 model of HCM. This study highlights the potential role of tissue proteomic profiling for mapping proteins, which may be critical in cardiac dysfunction and progression to heart failure in HCM.

Multiscale, multiorgan and multivariate complexity analyses of cardiovascular regulation

Cardiovascular system complexity is confirmed by both its generally variegated structure of physiological modelling and the richness of information detectable from processing of the signals involved in it, with strong linear and nonlinear interactions with other biological systems. In particular, this behaviour may be accordingly described by means of what we call MMM paradigm (i.e. multiscale, multiorgan and multivariate). Such an approach to the cardiovascular system emphasizes where the genesis of its complexity is potentially allocated and how it is possible to detect information from it. No doubt that processing signals from multi-leads of the same system (multivariate), from the interaction of different physiological systems (multiorgan) and integrating all this information across multiple scales (from genes, to proteins, molecules, cells, up to the whole organ) could really provide us with a more complete look at the overall phenomenon of cardiovascular system complexity, with respect to the one which is obtainable from its single constituent parts. In this paper, some examples of approaches are discussed for investigating the cardiovascular system in different time and spatial scales, in studying a different organ involvement (such as sleep, depression and multiple organ dysfunction) and in using a multivariate approach via various linear and nonlinear methods for cardiovascular risk stratification and pathology assessment.

Proteome map of the normal murine ventricular myocardium

Cardiovascular disease is the leading cause of morbidity and mortality in developed countries. The underlying mechanisms involved in cardiac dysfunction and heart failure are poorly understood. In this study, 2-DE was utilised to map, for the first time, proteins of normal, nonfailing mouse ventricular tissues to form a basis for future comparative analysis of mouse models with cardiovascular disorders. Proteins were obtained from ventricles of C57BL6 mice, aged 18 wk, and separated by 2-DE. A total of 150 protein spots, corresponding to 77 distinct proteins, were identified by MALDI-TOF MS. The proteins identified in mouse ventricles covered a wide range of biological processes (e.g. cell cycle, muscle contraction and signal transduction), with the majority of proteins contributing to cardiomyocyte energetics and cell structure. This 2-D gel map of mouse myocardial proteins will be an invaluable tool in proteomic research for the detection of protein changes and identifying cardiac biomarkers of cardiovascular disease.

Differential proteomic profiling to study the mechanism of cardiac pharmacological preconditioning by resveratrol

Recent studies demonstrated that resveratrol, a grape-derived polyphenolic phytoalexin, provides pharmacological preconditioning of the heart through a NO-dependent mechanism. To further explore the molecular mechanisms involved in resveratrol-mediated cardioprotection, we monitored the effects of resveratrol treatment after ischemia-reperfusion on the protein profile by implementation of proteomic analysis. Two groups of rats were studied; one group of animals was fed resveratrol for 7 days, while the other group was given vehicle only. The rats were sacrificed for the isolated working heart preparation and for isolation of cytoplasmic fraction from left ventricle homogenates to carry out the proteomic as well as immunoblot at baseline and at the end of 30 min ischemia/2-h perfusion. The results demonstrate significant cardioprotection with resveratrol evidenced by improved ventricular recovery and reduced infarct size and cardiomyocyte apoptosis. The left ventricular cytoplasmic fractions were separated by two-dimensional electrophoresis (2-DE). Differentially regulated proteins were detected with quantitative computer analysis of the Coomassie blue stained 2-DE images and identified by MALDI-TOF (MS) and nanoLC-ESI-Q-TOF mass spectrometry (MS/MS). Five redox-regulated and preconditioning- related proteins were identified that were all upregulated by resveratrol: MAPKK, two different alphaB-crystallin species, HSP 27 and PE binding protein. Another HSP27 species and aldose reductase were downregulated and peroxiredoxin- 2 remained constant. The results of the immunoblot analysis of phosphorylated MAPKK, -HSP27 and -alphaB-crystallin and PE binding protein were consistent with the proteomic findings, but not with peroxiredoxin-2. The proteomic analysis showed also downregulation of some proteins in the mitochondrial respiratory chain and matrix and the myofilament regulating protein MLC kinase-2. The results of the present study demonstrate that proteomic profiling enables the identification of resveratrol induced preconditioning-associated proteins which reflects not only changes in their expression level but also isoforms, post-translational modifications and regulating binding or activating partner proteins.

Developmental windows and environment as important factors in the expression of genetic information: a cardiovascular physiologist's view

Genetic studies in humans and rodent models should help to identify altered genes important in the development of cardiovascular diseases, such as hypertension. Despite the considerable research effort, it is still difficult to identify all of the genes involved in altered blood pressure regulation thereby leading to essential hypertension. We should keep in mind that genetic hypertension and other cardiovascular diseases might develop as a consequence of early errors in well-co-ordinated systems regulating cardiovascular homoeostasis. If these early abnormalities in the ontogenetic cascade of expression of genetic information occur in critical periods of development (developmental windows), they can adversely modify subsequent development of the cardiovascular system. The consideration that hypertension and/or other cardiovascular diseases are late consequences of abnormal ontogeny of the cardiovascular system could explain why so many complex interactions among genes and environmental factors play such a significant role in the pathogenesis of these diseases. The detailed description and precise time resolution of major developmental events occurring during particular stages of ontogeny in healthy individuals (including advanced knowledge of gene expression) could facilitate the detection of abnormalities crucial for the development of cardiovascular alterations characteristic of the respective diseases. Transient gene switch-on or switch-off in specific developmental windows might be a useful approach for in vivo modelling of pathological processes. This should help to elucidate the mechanisms underlying cardiovascular diseases (including hypertension) and to develop strategies to prevent the development of such diseases.