Project description:Myocardial infarction (MI) is one of the most severe manifestations of coronary artery disease (CAD) and the leading cause of death from non-infectious diseases worldwide. It is known, that the central component of CAD pathogenesis is a chronic vascular inflammation. However, the mechanisms underlying the changes that occur in T, B and NK-lymphocytes, monocytes and other immune cells during CAD and MI are still poorly understood. One of those pathogenic mechanisms might be the dysregulation of intracellular signaling pathways in the immune cells. In the present study we performed a transcriptome profiling in peripheral blood mononuclear cells of MI patients and healthy individuals. The machine learning algorithm was then used to search for MI-associated signatures, that could reflect the dysregulation of intracellular signaling pathways and be assisted in MI diagnosis and/or prognosis. ADAP2, KLRC1, MIR21, PDGFD and CD14 genes were identified as the most important signatures for the classification model with L1-norm penalty function. The classifier output quality was equal to 0.911 by Receiver Operating Characteristic metric on test data. These results were validated on two independent open GEO datasets.
Project description:Despite a substantial progress in diagnosis and therapy, acute myocardial infarction (MI) is a major cause of mortality in the general population. A novel insight into the pathophysiology of myocardial infarction obtained by studying gene expression should help to discover novel biomarkers of MI and to suggest novel strategies of therapy. The aim of our study was to establish gene expression patterns in leukocytes from acute myocardial infarction patients. ST-segment elevation myocardial infarction alters expression of several groups of genes. On admission, several genes and pathways that could be directly or indirectly linked with lipid/glucose metabolism, platelet function and atherosclerotic plaque stability were affected (signaling of PPAR, IL-10, IL-6). Analysis at discharge highlighted specific immune response (upregulation of immunoglobulins). Highly significant and substantial upregulation of SOCS3 and FAM20 genes expression in the first 4-6 days of myocardial infarction in all patients is the most robust observation of our work Twenty-eight patients with ST-segment elevation myocardial infarction (STEMI) were included. The blood was collected on the 1st day of myocardial infarction, after 4-6 days, and after 6 months. Control group comprised 14 patients with stable coronary artery disease (CAD), without history of myocardial infarction. Gene expression analysis was performed with Affymetrix GeneChipM-BM-. Human Gene 1.0 ST microarrays and GCS3000 TG system.
Project description:Purpose: The goal of this study is to compare mRNA related cellular pathways associated with a myocardial infarction (MI) with a surgical device to prevent cardiac remodeling compared to an MI only Conclusions: RNA sequencing revealed an activation of multiple cellular pathways with the device group.
Project description:Despite a substantial progress in diagnosis and therapy, acute myocardial infarction (MI) is a major cause of mortality in the general population. A novel insight into the pathophysiology of myocardial infarction obtained by studying gene expression should help to discover novel biomarkers of MI and to suggest novel strategies of therapy. The aim of our study was to establish gene expression patterns in leukocytes from acute myocardial infarction patients. ST-segment elevation myocardial infarction alters expression of several groups of genes. On admission, several genes and pathways that could be directly or indirectly linked with lipid/glucose metabolism, platelet function and atherosclerotic plaque stability were affected (signaling of PPAR, IL-10, IL-6). Analysis at discharge highlighted specific immune response (upregulation of immunoglobulins). Highly significant and substantial upregulation of SOCS3 and FAM20 genes expression in the first 4-6 days of myocardial infarction in all patients is the most robust observation of our work
Project description:Thyroid hormone improves left ventricular remodeling and cardiac performance after myocardial infarction (MI), but the molecular basis is unknown. This study was designed to detect gene expression changes in left ventricular non-infarcted areas at 4 weeks following myocardial infarction with and without thyroid hormone treatment. The results suggest that altered expression of genes for molecular function and biological process may be involved in the beneficial effects of thyroid hormone treatment following myocardial infarction in rats. MI was produced by ligation of the left anterior descending coronary artery in female SD rats. Rats were divided into the following groups: (1) Sham MI, (2) MI, and (3) MI+T4 treatment (T4 pellet 3.3mg, 60 days release, implanted subcutaneously immediately following MI). Four weeks after surgery, total RNA was isolated from left ventricular non-infarcted areas for microarray analysis using the Illumina RatRef-12 Expression BeadChip Platform.
Project description:To define the cellular landscape of human myocardial infarction and heart failure, we performed Cellular Indexing of Transcriptomes and Epitomes by sequencing (CITE-seq) in 22 explanted human hearts from healthy donors, acute myocardial infarction (MI),and chronic ischemic and non-ischemic cardiomyopathy patients.
Project description:There is an unmet need to develop new strategies to improve risk stratification in patients with myocardial infarction and to identify new targets for intervention. The aim of this study was to establish the unbiased peripheral blood whole transcriptome response in myocardial infarction, and to correlate it with clinical characteristics and outcome. RNA expression was determined in the acute phase of MI and at follow-up, and related to clinical phenotype and outcome.
Project description:The use of cDNA microarrays has made it possible to analyze expression of thousands of genes simultaneously. We employed microarray gene expression profiling of porcine cDNA to compare myocardial gene expression in infarct core and remote myocardium at 1 week (n=3), 4 weeks (n=3), and 6 weeks (n=3) after surgically induced myocardial infarction (MI) and in sham-operated controls (n=3). More than 8,000 cDNA sequences were identified in myocardium that showed differential expression in response to MI. Different temporal and spatial patterns of gene expression were recognized in the infarct core tissue within this large set of data. Microarray gene profiling revealed candidate genes, some of them described for the first time, which elucidate changes in biological processes at different stages after MI. We evaluated temporal gene expression in a porcine model of myocardial infarction by microarray technology. Nine female pigs (Sus scrofa crossbreed Landrace x Large White) weighing 30-40 kg were subjected to experimental MI by a double-ligation of the first marginal branch of the circumflex artery. Animals were randomly sacrificed at 1 week (n=3), 4 weeks (n=3), or 6 weeks (n=3) after MI. Three paired myocardial samples from the infarct core and remote myocardium were analyzed at each time point. Myocardial samples from sham-operated animals (open-chest cardiac exposure without coronary artery ligation; n=3) were included as physiological controls.
Project description:We aim to determine blood transcriptome-based molecular signature of acute coronary syndrome (ACS), and to identify novel serum biomarkers for early stage ST-segment-elevation myocardial infarction (STEMI) We obtained peripheral blood from the patients with ACS who visited emergency department within 4 hours after the onset of chest pain: ST-elevation myocardial infarction (STEMI, n=7), Non-ST-elevation MI (NSTEMI, n=10) and unstable angina (UA, n=9), and normal control (n=7)
Project description:Sexual dimorphisms are well recognized in various cardiac diseases, including myocardial infarction (MI). MI develops later in women, but once established, it contributes more persistent symptoms and higher mortality than in men. Although mRNA-level sexual dimorphism of MI have been reported, whether miRNA transcriptome also confers such dimorphism remains unknown. Comprehensive understanding of the mRNA- and miRNA-level genetic programs underlying the heart sexual dimorphisms will expectedly improve clinical outcome by facilitating the development of gender specific treatment strategies. Here, by conducting miRNA microarray analysis of human MI samples, we set out to characterize the heart sexual dimorphisms at the level of miRNA transcriptome Human tissue samples, acquired during post-mortem examination and frozen in liquid nitrogen, were provided by the department of pathology, Tokyo Metropolitan Geriatric Hospital after the approval from the ethical committee. Age- and sex-matched cohorts were selected to compare healthy hearts to those with post-MI LV remodeling. Border zone for myocardial infarction was sampled. Total RNA was extracted using Sepasol solution (Sepasol-RNA I super G, nakalai tesque, Japan), and microarray analysis was performed using Affymetrix GeneChip® miRNA 3.0 Arrays