New Biomarkers Of Cardiovascular Endpoints And Heart Failure Progression Analysis After Myocardial Infarction

2019 ◽  
Vol 287 ◽  
pp. e168
Author(s):  
N. Zagidullin ◽  
A. Hamitova ◽  
I. Lackman ◽  
V. Ionin
2017 ◽  
Vol 2017 ◽  
pp. 1-16 ◽  
Author(s):  
Leonardo Schirone ◽  
Maurizio Forte ◽  
Silvia Palmerio ◽  
Derek Yee ◽  
Cristina Nocella ◽  
...  

Pathological molecular mechanisms involved in myocardial remodeling contribute to alter the existing structure of the heart, leading to cardiac dysfunction. Among the complex signaling network that characterizes myocardial remodeling, the distinct processes are myocyte loss, cardiac hypertrophy, alteration of extracellular matrix homeostasis, fibrosis, defective autophagy, metabolic abnormalities, and mitochondrial dysfunction. Several pathophysiological stimuli, such as pressure and volume overload, trigger the remodeling cascade, a process that initially confers protection to the heart as a compensatory mechanism. Yet chronic inflammation after myocardial infarction also leads to cardiac remodeling that, when prolonged, leads to heart failure progression. Here, we review the molecular pathways involved in cardiac remodeling, with particular emphasis on those associated with myocardial infarction. A better understanding of cell signaling involved in cardiac remodeling may support the development of new therapeutic strategies towards the treatment of heart failure and reduction of cardiac complications. We will also discuss data derived from gene therapy approaches for modulating key mediators of cardiac remodeling.


2007 ◽  
Vol 293 (3) ◽  
pp. H1609-H1616 ◽  
Author(s):  
Margaret P. Chandler ◽  
Eric E. Morgan ◽  
Tracy A. McElfresh ◽  
Theodore A. Kung ◽  
Julie H. Rennison ◽  
...  

Clinical studies have shown a greater incidence of myocardial infarction in diabetic patients, and following an infarction, diabetes is associated with an increased risk for the development of left ventricular (LV) dysfunction and heart failure. The goal of this study was to determine if the progression of heart failure following myocardial infarction in type 2 diabetic (T2D) rats is accelerated compared with nondiabetic rats. Male nondiabetic Wistar-Kyoto (WKY) and T2D Goto-Kakizaki (GK) rats underwent coronary artery ligation or sham surgery to induce heart failure. Postligation (8 and 20 wk), two-dimensional echocardiography and LV pressure measurements were made. Heart failure progression, as assessed by enhanced LV remodeling and contractile dysfunction, was accelerated 8 wk postligation in the T2D animals. LV remodeling was evident from increased end-diastolic and end-systolic diameters and areas in the GK compared with the WKY infarcted group. Furthermore, enhanced LV contractile dysfunction was evident from a greater deterioration in fractional shortening and enhanced myocardial performance index (an index of global LV dysfunction) in the GK infarcted group. This accelerated progression was accompanied by greater increases in atrial natriuretic factor and skeletal α-actin (gene markers of heart failure and hypertrophy) mRNA levels in GK infarcted hearts. Despite similar decreases in metabolic gene expression (i.e., peroxisome proliferator-activated receptor-α-regulated genes associated with fatty acid oxidation) between infarcted WKY and GK rat hearts, myocardial triglyceride levels were elevated in the GK hearts only. These results, demonstrating enhanced remodeling and LV dysfunction 8 wk postligation provide evidence of an accelerated progression of heart failure in T2D rats.


Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Yvan Devaux ◽  
Céline Yvorra ◽  
Mélanie Vausort ◽  
Céline Jeanty ◽  
Francisco Azuaje ◽  
...  

Purpose : A significant proportion of acute myocardial infarction (MI) patients develop heart failure (HF). Early identification of patients at risk of developing HF after MI would be a major breakthrough. An approach combining the power of biological information networks and the precision of microarray analysis was undertaken to identify new biomarkers of HF. Methods : Since angiogenesis may be related to MI and HF, a protein-protein interaction (PPI) network was constructed by first extracting from the Entrez-Gene database a set of genes relevant to angiogenesis and MI. These genes were used as inputs to retrieve annotated interactions from the Human Protein Reference Database. Potential biomarkers were identified by network analysis. Gene expression profiles of blood cells taken at the time of MI in two groups of 16 patients (high ejection fraction (EF) at 1 month, EF≥45% and low EF at 1 month, EF≤40%) were obtained using oligonucleotide microarrays containing 25,000 genes and compared by Statistical Analysis of Microarrays (SAM). Prediction models based on machine learning were used to classify low and high EF patients. Results : SAM identified 525 genes differentially expressed between patients with high and low EF (fold-change ≥1.3). The PPI network included 556 nodes (proteins) and 686 edges (interactions). A network clustering algorithm identified 53 proteins highly specialized in growth and regulation processes. Out of these, 38 were found differentially expressed by SAM. Further filtering reported 3 genes as the optimal biomarker set: Vascular Endothelial Growth Factor B (VEGFB), Placental Growth Factor (PGF), both pro-angiogenic, and the anti-angiogenic protein Thrombospondin-1 (THBS1). Prediction models reported areas under the receiver operating characteristic curve (AUC) of 0.82 for this biomarker set. Conclusion : The classification performances achieved with the 3 biomarkers stresses the prognostic value of genes involved in angiogenesis. The network-based approach allowed us to identify powerful biomarkers, which could not be identified by applying standard gene expression data analysis only. Therefore, combined network and microarray analysis allows a systematic and less biased approach to biomarker discovery.


2004 ◽  
Vol 50 (2) ◽  
pp. 265-278 ◽  
Author(s):  
Saeed A Jortani ◽  
Sumanth D Prabhu ◽  
Roland Valdes

Abstract Background: Heart failure (HF) is a devastating disease with increasing prevalence in elderly populations. One-half of all patients die within 5 years of diagnosis. The annual cost of treating patients with HF in the US is more than $20 billion, which is estimated to be greater than that of myocardial infarction and all cancers combined. Given the complex pathophysiology and varied manifestations of HF, interest has intensified in developing biological markers to predict susceptibility and aid in the early diagnosis and management of this disease. Methods: We searched Medline via Ovid for studies published during the period 1966–2003 regarding various biomarkers suggested for HF. Our review focused on developing strategies for discovering and using new biomarkers, particularly those potentially linked to pathophysiologic mechanisms. We also point out strategic advantages, limitations, and methods available for measuring each of the currently proposed markers. Results: Biomarkers reviewed include those released from the heart during normal homeostasis (natriuretic peptides), those produced elsewhere that act on the heart (endogenous cardiotonic steroids and other hormones), and those released in response to tissue damage (inflammatory cytokines). The concept of using a combination of multiple markers based on diagnosis, prognosis, and acute vs chronic disease is also discussed. In view of recent advances in our understanding of molecular biochemical derangements observed during cardiac failure, we consider the concept of myocardial remodeling and the heart as part of an endocrine system as strategies. Conclusion: Strategically, biomarkers linked to mechanisms involved in the etiology of HF, such as dysregulation of ion transport, seem best suited for serving as early biological markers to predict and diagnose disease, select therapy, or assess progression.


2013 ◽  
Vol 113 (suppl_1) ◽  
Author(s):  
Anastasios Lymperopoulos ◽  
Giuseppe Rengo ◽  
Erhe Gao ◽  
Ashley Siryk ◽  
Samalia Dabul ◽  
...  

Introduction: Chronic heart failure (HF) is characterized by enhanced circulating cardiotoxic hormones, among the most prominent of which is aldosterone, which contributes to the increased morbidity and mortality of the disease by promoting cardiac adverse remodeling post-myocardial infarction (MI). Cardiac β-adrenergic receptor (ΑR) desensitization and downregulation are a hallmark abnormality in HF at the molecular level and are due to the concerted action of cardiac G protein-coupled receptor kinase-2 (GRK2), together with its co-factors in receptor desensitization, the βarrestins (βarrs). We have also recently established that βarr1 promotes angiotensin II-dependent aldosterone production in the adrenal cortex, and this leads to elevated circulating aldosterone levels in vivo, both under normal conditions and during post-MI HF progression. Hypothesis: Herein, we sought to investigate the effects of genetically deleting βarr1 on post-MI cardiac function and hyperaldosteronic status in mice progressing to HF. Methods: We uitilized the βarr1KO mouse model and studied these mice at 4 weeks after surgically induced MI, in parallel with C57/B6 wild type (WT) controls. Cardiac function was assessed by echocardiography and in vivo catheterization. Plasma aldosterone was measured by ELISA. Results: Cardiac function is markedly improved in βarr1KO`s at 4 weeks post-MI, as evidenced by increased ejection fraction compared to WT mice (41.5 + 2.8 % vs. 21.8 + 2.4 %, respectively, n=9, p<0.0001) and increased isoproterenol-induced contractility. Additionally, cardiac dimensions are significantly reduced compared to WT`s, indicating attenuation of adverse cardiac remodeling. Importantly, plasma circulating aldosterone levels are significantly lowered and cardiac βAR signaling and function appear elevated in post-MI βarr1KO`s compared to control WT`s. Conclusions: Genetic deletion of βarr1 substantially improves cardiac function, adverse remodeling, hyperaldosteronism, and cardiac βAR function during post-MI HF progression. The underlying mechanism is attenuation of both cardiac βAR desensitization/downregulation and adrenal aldosterone production, which is βarr1-dependent.


2021 ◽  
Vol 23 (8) ◽  
Author(s):  
James T. Thackeray

Abstract Purpose of Review Current therapeutic strategies to mitigate heart failure progression after myocardial infarction involve support of endogenous repair through molecular targets. The capacity for repair varies greatly between individuals. In this review, we will assess how cardiac PET/CT enables precise characterization of early pathogenetic processes which govern ventricle remodeling and progression to heart failure. Recent Findings Inflammation in the first days after myocardial infarction predicts subsequent functional decline and can influence therapy decisions. The expansion of anti-inflammatory approaches to improve outcomes after myocardial infarction may benefit from noninvasive characterization using imaging. Novel probes also allow visualization of fibroblast transdifferentiation and activation, as a precursor to ventricle remodeling. Summary The expanding arsenal of molecular imaging agents in parallel with new treatment options provides opportunity to harmonize diagnostic imaging with precision therapy.


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