Cytokine Profile of Mononuclear Cells in Patients with Acute Myocardial Infarction, Complicated by Heart Failure

2013 ◽  
Vol 4 (3) ◽  
pp. 253-259
Author(s):  
Tatyana I. Gavrilenko ◽  
Alexandr N. Parkhomenko ◽  
Natalia A. Ryzhkova ◽  
Sergey N. Kozhukhov ◽  
Lyudmyla V. Yakushko
Keyword(s):  
Myocardial Infarction ◽  
Heart Failure ◽  
Acute Myocardial Infarction ◽  
Mononuclear Cells ◽  
Cytokine Profile

scholarly journals Identification of monocyte-associated genes as predictive biomarkers of heart failure after acute myocardial infarction

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Qixin Chen ◽  
Qijin Yin ◽  
Junxian Song ◽  
Chuanfen Liu ◽  
Hong Chen ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Heart Failure ◽  
Acute Myocardial Infarction ◽  
Rna Sequencing ◽  
Mononuclear Cells ◽  
Characteristic Curve ◽  
Predictive Biomarkers ◽  
Functional Enrichment ◽  
Sequencing Data ◽  
Hub Genes

Abstract Background Acute myocardial infarction (AMI) is a major contributor of heart failure (HF). Peripheral blood mononuclear cells (PBMCs), mainly monocytes, are the essential initiators of AMI-induced HF. The powerful biomarkers for early identification of AMI patients at risk of HF remain elusive. We aimed to identify monocyte-related critical genes as predictive biomarkers for post-AMI HF. Methods We performed weighted gene co-expression network analysis (WGCNA) on transcriptomics of PBMCs from AMI patients who developed HF or did not. Functional enrichment analysis of genes in significant modules was performed via Metascape. Then we obtained the single-cell RNA-sequencing data of recruited monocytes/macrophages from AMI and control mice using the Scanpy and screened 381 differentially expressed genes (DEGs) between the two groups. We validated the expression changes of the 25 genes in cardiac macrophages from AMI mice based on bulk RNA-sequencing data and PBMCs data mentioned above. Results In our study, the results of WGCNA showed that two modules containing 827 hub genes were most significantly associated with post-AMI HF, which mainly participated in cell migration, inflammation, immunity, and apoptosis. There were 25 common genes between DEGs and hub genes, showing close relationship with inflammation and collagen metabolism. CUX1, CTSD and ADD3 exhibited consistent changes in three independent studies. Receiver operating characteristic curve analysis showed that each of the three genes had excellent performance in recognizing post-AMI HF patients. Conclusion Our findings provided a set of three monocyte-related biomarkers for the early prediction of HF development after AMI as well as potential therapeutic targets of post-AMI HF.

Predictors of Left Ventricular Remodeling Post Acute Myocardial Infarction. Protocol for a Clinical Study

2019 ◽  
Vol 4 (3) ◽  
pp. 120-123
Author(s):  
Ioana Cîrneală ◽  
Diana Opincariu ◽  
István Kovács ◽  
Monica Chițu ◽  
Imre Benedek
Keyword(s):  
Myocardial Infarction ◽  
Heart Failure ◽  
Acute Myocardial Infarction ◽  
Speckle Tracking ◽  
Ventricular Remodeling ◽  
Speckle Tracking Echocardiography ◽  
Left Ventricular Remodeling ◽  
Left Ventricular ◽  
Serum Biomarkers ◽  
Remodeling Index

Abstract Heart failure is a clinical syndrome that appears as a consequence of a structural disease, and the most common cause of left ventricular systolic dysfunction results from myocardial ischemia. Cardiac remodeling and neuroendocrine activation are the major compensatory mechanisms in heart failure. The main objective of the study is to identify the association between serum biomarkers illustrating the extent of myocardial necrosis (highly sensitive troponin as-says), left ventricular dysfunction (NT-proBNP), and systemic inflammatory response (illustrated via serum levels of hsCRP and interleukins) during the acute phase of a myocardial infarction, and the left ventricular remodeling process at 6 months following the acute event, quantified via speckle tracking echocardiography. The study will include 400 patients diagnosed with acute myocardial infarction without signs and symptoms of heart failure at the time of enrollment that will undergo a complex clinical examination and speckle tracking echocardiography. Serum samples from the peripheral blood will be collected in order to determine the inflammatory serum biomarkers. After 6 months, patients will be divided into 2 groups according to the development of ventricular remodeling, quantified by speckle tracking echocardiography: group 1 will consist of patients with a remodeling index lower than 15%, and group 2 will consist of patients with a remodeling index higher than 15%. All clinical and imaging data obtained at the baseline will be compared between these two groups in order to determine the features associated with a higher risk of deleterious ventricular remodeling and heart failure.

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